Category Archives: Engineering/it

Postdoctoral Researcher in Biopolymer Chemistry and Engineering group

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors, and more than 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The School of Chemical Engineering is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way.

The Biopolymer Chemistry and Engineering group is looking for a

Postdoctoral Researcher with strong knowledge in polymer characterization and chromatographic separation of polymer constituents

The successful applicant will develop a method for the analysis of mixed textile waste. Sustainable textile production and textile recycling are in the focus of the new Textile Strategy defined by the European Commission. However, the development of new recycling technologies is hampered by the lack of accurate analytics of textile waste consisting of various fiber polymers with their ratio varying from batch to batch. Thus, we are aiming to establish a new analytical toolbox that will support textile recycling on both research and industrial level. The activities are part of a joint academia-industry project developing holistic strategies of textile recycling, including de-coloration, polymer separation, and revalorization.

Research is carried out at our excellent facilities at Aalto University, School of Chemical Engineering (http://www.bioeconomyinfra.fi/). The laboratories are situated on the main campus of Aalto University in Otaniemi (short metro ride from Helsinki) within the Department of Bioproducts and Biosystems (http://bio2.aalto.fi/en/).

Job description

The project may be adjusted according to the talents of the applicants. The activities and responsibilities of the successful applicant will focus on the depolymerization of various polymers found in textiles (cellulose, PET, PA, PU). This includes

  • developing methods to depolymerize above described polymers

  • establish procedures for the chromatographic separation of mono- and oligomers

  • taking an active role in project management

  • instruction of doctoral candidates

  • dissemination of results through scientific articles and presentations at conference, seminars, and workshops

  • contributing to additional fund raising

Requirements

  • Recently obtained PhD (within five years) in a suitable field, such as polymer chemistry, polymer engineering, organic and/or analytical chemistry, or similar

  • proven experience in polymer synthesis and various chromatographic separation methods, in particular HPLC

  • highly committed to science and strive for excellence

  • work independently and instruct PhD candidates

  • excellent written and oral communication skills in English

Skills, knowledge or interest in some of the following areas are highly appreciated:

  • textile chemistry

  • spectroscopic methods (NMR, FTIR, Raman, XPS)

  • (bio-)polymer processing

  • supporting in the preparation of high-level international project proposals

What we offer

  • high-end laboratory infrastructure and an international and highly professional working environment

  • opportunity to work in an established research group

  • freedom to bring in own ideas

  • funding for 3 years

The candidate will be granted a fixed-term contract for three years. The expected starting salary of a postdoctoral researcher is approximately 3700-3900 EUR/month depending on experience.

Ready to apply?

To apply for the position, please submit the following application materials in English through the ’Apply’ link at the latest on March 29, 2024:

The application should include the following:

  • Cover letter (highlighting why you are interested in this position and why you think that you are a good candidate)

  • CV, incl. list of publications

  • Names and contact details of references

Aalto University’s employees and visitors should apply for the position via the internal HR system Workday (keyword Find Jobs) by using their existing Workday user account (not via the external webpage for open positions).

The call is open until March 29th, but review of candidates starts instantly, and the position may be filled before the end of the call.

For more information

For additional scientific information, please contact Prof. Michael Hummel ([email protected]).

Aalto University reserves the right for justified reasons to leave the position open, to extend the application period and to consider candidates who have not submitted applications during the application period.

More about Aalto University:

Aalto.fi

youtube.com/user/aaltouniversity

linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity

instagram.com/aaltouniversity

twitter.com/aaltouniversity

Deadline: 2024-03-29 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

2 Postdoctoral researchers in Information systems Twin transition and Digital Government

Ref PAR 2024/186

We develop the individual’s knowledge and ability to analyze, understand and handle various aspects of IT as well as the interaction between human and technology in areas such as human-computer interaction, Artificial Intelligence, blockchain, digital innovation, e-Health, mobile communication, robots, social media and IT in schools and teaching.

We provide education at Bachelor’s and Master’s level anchored in research and the development of society.

The department is located at the knowledge-intensive Lindholmen, and has a well-developed collaboration with both business and public sector as well as the civil society.

About the division of informatics

The Division of Informatics consists of approximately thirty researchers who work specifically on issues related to digital innovation, open innovation, digital platforms and digitalization of the public sector. The researchers are regularly published in international top journals.

All teaching at the division’s program, Master in Digital Leadership and the Bachelor’s programme Information Systems reflect the strong research environment.

In both research and education, the division has a long tradition of working closely with industry and the public sector. The division hosts the Swedish Center for Digital Innovation, SCDI, and also offers contract teaching.
For more information about the division, please visit https://www.gu.se/en/applied-information-technology/division-of-informatics

The Swedish Center for Digital Innovation (SCDI) is currently ranked as one of the top three international research environments in the field of digital transformation and digital innovation. With over 80 researchers working to enhance society’s digital capabilities, SCDI conducts excellent research with high societal impact. For more information, please visit www.scdi.se.

The Digital Governance Research Consortium is an initiative within SCDI and involves around 30 researchers, including executive doctoral students and senior researchers. The research consortium is a national leader and is entirely focused on safeguarding the welfare through high-impact, excellent research. For further information, please visit www.digitalforvaltning.se

Subject area

Information systems

Subject area description

The postdoctoral researchers will be part of the SCDI Wallenberg Digital Innovation Program and a new initiative (www.uttc.se) funded by, among others, Vinnova, aimed at broadening the adoption of net-zero solutions through twin transition. The goal is to reduce city emissions by 20% over the course of the project. Given the focus on the twin transition, the subject matter will be information systems with a connection to green transformation.

Job assignments

The job assignments include research in the form of data collection, analysis, publication, and utilization. To take on the project assignments, the postdoctoral researchers will join a research group on Organizational Dynamics at SCDI (www.scdi.se/dynamics). This group stands at the intersection of organizational studies, digital innovation, and computational methods, delving into the deep and transformative shifts organizations experience in response to evolving digital technologies.

The postdoctoral researchers will play an important role in our exploration and understanding of the “Twin Transition” concept. By applying advanced computational methods, their work will be central to deciphering the relationship between green and digital transformations. By investigating how digital technology can support sustainability goals, the researcher will help exploring how digital and green approaches can lead to enhanced efficiency, productivity, and broad societal benefits.

The postdoctoral researchers´ tasks will be multifaceted. They will utilize computational techniques such as social network analysis, sentiment analysis, time-series analysis, etc., to extract meaningful patterns from data. A large part of this analysis will involve unstructured text data. Through the power of Natural Language Processing (NLP), and by leveraging machine learning and AI techniques like embeddings, they will extract and interpret patterns from vast data streams. A notable part of their assignment will involve delving into public sources, such as earnings conference call transcripts. This will enable them to map both the current landscape and historical trends concerning the overlap of digital and sustainability discourses. Further, the researcher will engage in predictive analytics, aiming to anticipate the future trajectory of these intertwined discourses and the potential intersections that may arise.

The postdoctoral researchers will also be tasked with identifying potential synergies between digitalization and sustainability in the context of “smart cities”. This represents a unique opportunity to dive into the nexus of urban digital infrastructure and sustainability goals. The researcher will have the chance to tap into real-time data streams from smart city initiatives, covering areas like urban transportation, energy consumption, and carbon emissions. Such data, combined with insights from existing digital platforms and technologies within urban environments, can provide a holistic picture of how cities are evolving in the digital age. In that sense, the postdoc’s exploration in this area could shape the future strategies and directions for integrating digital and green initiatives in the development of smart cities.

 

Eligibility

To be eligible for employment under this agreement, a doctoral degree or a foreign degree deemed to be equivalent to a doctoral degree is required.
This eligibility requirement must be fulfilled at the latest at the time of the employment decision.

To be eligible for employment under this agreement, candidates should primarily have obtained a doctoral degree not more than three years previously. For the purpose of calculating the three-year framework period, the starting point is the deadline for applications.

If there are special reasons, such a doctoral degree may have been received earlier than as referred to in the second paragraph. Special reasons include leave due to illness, parental leave, trade union duties, military service, or other similar circumstances, as well as clinical service or service/assignments relevant to the subject area.

Assessment

We are looking for individuals who are committed to the underlying goals and have a good understanding of digital transformation and sustainability, demonstrating evidence of excellent scientific skills and experience in collaboration with the surrounding society. Particularly meriting is the demonstration of experience in method pluralism and scientific publishing at the highest level (e.g., AIS Basket of Eleven, ABS, FT50), both in terms of published articles and articles close to publication. The candidate shall master verbal and written English at a high level. It´s considered a merit if the candidate also master verbal and written Swedish at a high level. Experience in computational methods (e.g., natural language processing, large language models, social network analysis) is deemed particularly meriting, but in essence we are looking for a candidate with the willingness to explore this interesting new avenue in methods.

The university will through this recruitment make a holistic assessment of aptitude and skills and select the applicant which is deemed to have the best pre-requisites to conduct and develop current tasks of the position, interact and collaborate with other staff within GU and SCDI, as well as contributing to a positive development of the Division and Department.

Employment

The position is a fixed-term employment of 100 % of fulltime for two years – in accordance to the collective agreement Agreement on fixed-term postdoc employment – , with placement at The Department of Applied Information Technology, The Division of Informatics.
Start date according to agreement.

Appointment procedure

The selection, interview and assessment will be undertaken by a local recruiting group.
Interviews may take place throughout the application period.

For further information:

– Regarding the position please contact Professor Johan Magnusson johan.magnusson@ait.gu.se
– Regarding the appointment procedure, please contact Emil Fägerwall Tawfik, Human Resources Officer, +46 31 786 29 04 

Unions

Union representatives at the University of Gothenburg:
https://www.gu.se/en/about-the-university/work-at-the-university-of-gothenburg/how-to-apply

Information for International Applicants

Choosing a career in a foreign country is a big step. Thus, to give you a general idea of what we and Gothenburg have to offer in terms of benefits and life in general for you and your family/spouse/partner please visit:

https://www.gu.se/en/about-the-university/welcome-services
https://www.movetogothenburg.com/

How to apply

In order to apply for a position at the University of Gothenburg, you have to register an account in our online recruitment system, start by clicking the button “Apply”. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline. The selection of candidates is made on the basis of the qualifications registered in the application.

The application is to be written in English.

The following documents are to be attached:

  • Resume/CV and data including previous and present employment and academic background
  • Letter of intent with motivation of why you have applied for the position and arguments of your qualifications for the position and brief statements of research plans
  • Degrees and diplomas, certificates or other documents (copy of degree certificates, etc.)
  • Two references with contact information

Closing date: 2024-03-31

 

The University works actively to achieve a working environment with equal conditions, and values the qualities that diversity brings to its operations.

Salaries are set individually at the University.

In accordance with the National Archives of Sweden’s regulations, the University must archive application documents for two years after the appointment is filled. If you request that your documents are returned, they will be returned to you once the two years have passed. Otherwise, they will be destroyed.

In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies.

Deadline: 2024-03-13 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD students to the multidisciplinary initiative Centre for welfare change

Ref 2024/0387

Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish to make a difference.

Do you want to be involved and contribute to our development?

Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new perspectives are best attained and reached together in collaboration with others – our colleagues, students, the private and public sectors, both nationally and internationally.

As a part of MDU’s strategic initiative to explore the possibilities of health and welfare technology within the Centre for Welfare Change, we are now recruiting 4-6 PhD students.

The Centre for Welfare Change is an arena where academia, business, civil society and the public sector together take on the challenges of welfare. We find the solutions in cooperation between the parties and through interdisciplinary research, based on the possibilities of health and welfare technology. The center forms a platform where new knowledge is co-produced, made available and utilized in collaboration. Read more about the Centre here:

https://www.mdu.se/en/malardalen-university/collaboration/centre-for-welfare-change?

Your doctoral employment will be at a department at one of our four schools, depending on your skills and the focus of the thesis project. MDU have four schools: School of Health, Care and Social welfare; School of Innovation, Design and Engineering; School of Education, Culture and Communication; and School of Business, Society and Engineering.

Employment information

Employment: Temporary employment
Scope: Full time
Number of positions: 4-6
Closing date for application: 2024-03-18
Campus location: Västerås or Eskilstuna 
School: Dependent on the candidates skills and area of research

Only those who are or have been admitted to third-cycle courses and study programmes at a higher education may be appointed to doctoral studentship.  More information about third-cycle studies at MDU
For further information about basic eligibility requirements and assessment criteria, see Chapter 7 of the Higher Education Ordinance (SFS 1993:100).

Position description

Within the frames of your employment, you will conduct doctoral studies and write a doctoral thesis in which you formulate, investigate and answer questions related to the theme Information-driven care and healthcare.

Information-driven care and social services is the systematic share and use of available health data in and between organizations and across disciplines, to predict ill-health, implement preventive measures and a person-centred care approach. The aim is to produce more efficient and equal health and social care services with new working procedures to promote health and quality of life.

Information-driven care and social services requires the development and application of advanced digital technology such as AI as well as the development of socio-technical systems. The change towards information-driven care and social services, which is initiated both nationally and internationally, affects all aspects of health and social care services. However, more knowledge is needed linked to the opportunities and challenges that it also entails.

By recruiting 4-6 PhD students who study Information-driven care and social services from different subject disciplines, but with a clear anchoring in the Centre for Welfare Change, new multidisciplinary knowledge can be developed.

Examples of areas that you could study as a doctoral student are:

Innovation and development of information-driven care and social services:

  • User-friendly sensor systems for monitoring health data
  • Reliable measurements and data communication in distributed environments
  • Reliable distributed signal processing and AI
  • Advanced sensors, data-driven models and learning systems for improved sanitation, air quality and thermal comfort
  • Management and organizing of ecosystems for innovation and development
  • Servitization of care and healthcare through increased use of patient data

Implementation and organizing of information-driven care and social services:

  • Implementation of work procedures, services, etc.
  • Entrepreneurship and the role of small businesses
  • Managing change and collaboration

The use and the consequences of technologies for information-driven care and healthcare social services from a societal, organizational, professional and/or user perspective:

  • Use of health data for behavioural change, improved health and/or quality of life (professions, residents, business, etc.)
  • Changes in working procedures and working conditions of the personnel in health and social care services
  • Professional change and learning

Policy, power and ethical perspectives on the development towards information-driven care and social services.         
    

Qualifications

According to chapter 7, § 39 in HF, basic eligibility for education at postgraduate level has anyone who has 1) completed an advanced level degree, 2) completed course requirements of at least 240 higher education credits (hp), of which at least 60 credits (hp) at advanced level, or 3) in some other way inside or outside the country acquired essentially equivalent knowledge.

Strong written and oral communication skills in English are a requirement. Good knowledge of Swedish is also required for some projects.

The applicant must also have advanced level education (master’s or civil engineering/economics level) in an area relevant to the doctoral project. As the Centre for Welfare Change is a multidisciplinary initiative, we are looking for candidates from educational fields such as design, technology, humanities, health and welfare, social sciences, educational sciences.

Assessment criteria

Prior to employment, consideration must be given to the ability to assimilate third-cycle courses and study programmes at a higher education.

In addition to documents that confirm eligibility for the position as a doctoral student, we ask you to submit a “Research proposal” with your application. With inspiration in the suggested areas above, please structure your text based on the following headings: Problem background, Possible questions and proposals for Research design. Write in English and a maximum of 1500 words.

Upon admission as a doctoral student, your project will be developed in dialogue with supervisors and based on the needs within the Centre for Welfare Change.

In an overall assessment of suitability, emphasis is also placed on personal abilities. All employees at MDU are expected to cooperate and treat colleagues and students with respect, take responsibility for the organisation and their own work duties and contribute to a positive work environment.

We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization.

Application

Application is made online. Make your application by clicking the “Apply” button below.

The applicant is responsible for ensuring that the application is complete in accordance with the advertisement and will reach the University no later than closing date for application.

We look forward to receiving your application.

Union representatives:

Saco-S saco-s@mdu.se
Susanne Meijer ST-OFR/S, tel: 021-10 14 89

We decline all contact with recruiters and salespersons of advertisements. We have made our strategic choices for this recruitment.

Contact person

Petra von Heideken Wågert

Scientific leader, Centre for Welfare Change

021-10 31 88

petra.heideken.wagert@mdu.se

Peter E. Johansson

Centre for Welfare Change

016-15 37 08

peter.e.johansson@mdu.se

Read the job description at the university homepage

Apply

Postdoctoral Researchers in Quantum Nanomechanics

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological potential. Our research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society.

The Quantum Nanomechanics group at the Department of Applied Physics is looking for outstanding

Postdoctoral Researchers

to carry out experimental research on different projects related to quantum micromechanical systems. In our team, we investigate how mechanical oscillators can be utilized for fundamental research probing quantum mechanics in massive systems, or for usage in quantum information processing. The measurements are carried out at deep cryogenic temperatures in a dilution refrigerator. In our research, we have demonstrated quantum entanglement between two micromechanical oscillators realized as vibrating aluminum drumheads [Nature 556, 478 (2018), Science 372, 625 (2021)].

Project 1: Gravitational coupling between nonclassical masses

In this project, the goal is to touch a hundred-year-old mystery of physics: Despite its success at describing phenomena in the low-energy limit, quantum mechanics is incompatible with general relativity that describes gravity and huge energies. The interface between these two has remained experimentally elusive, because only the most violent events in the universe have been considered to produce measurable effects due to the plausible quantum behavior of gravity. We aim at detecting gravitational forces for the first time within a quantum system. We use mechanical oscillators loaded by milligram masses and bring two such gravitationally interacting oscillators into nonclassical motional states. Initially, we will measure the gravitational force between gold particles weighing a milligram, representing a new mass scale showing gravitational forces within a system. This work is part of the ERC Advanced Grant project “GUANTUM: Probing the limits of quantum mechanics and gravity with micromechanical oscillators”.

Project 2: Measurement-based feedback control in quantum micromechanics

We realize “microwave optomechanical” devices, where micromechanical drum oscillators interact with on-chip microwave cavity resonators. Optomechanical techniques allow for both preparing, measuring and manipulation of the mechanical quantum states. Strong measurements and feedback operations allow for novel ways of creating nonclassical mechanical states, for example squeezed and entangled states. A grand goal is to realize quantum teleportation of the state between two oscillators. You will accommodate these devices into a quantum-limited detection system comprising of parametric amplifiers and real-time feedback realized with FPGA control. This work is part of European Union’s Quantera Program project “MQSens: Quantum Sensing with Nonclassical Mechanical Oscillators”, where opto-/electromechanics is utilized to explore how quantum protocols can be adapted to mechanical sensors in the quantum regime for various applications.

Project 3: Quantum acoustics

For quantum technology, integrating acoustic modes into superconducting circuits shows great promise for applications as quantum memory elements, bosonic codes, or in frequency conversion. We are working on High-Overtone Bulk Acoustic (HBAR) resonances that extend through the chip, and couple resonantly to transmon qubits. In ongoing and future work, we are promoting the devices to host several qubits, each coupled one or several HBAR modes. This will allow for creating mechanical entanglement and is a step towards phononic quantum chips. To realize processing of flying quantum phonons on a chip, we will connect standing HBAR modes into phonon waveguides which can be used to connect qubits.

Your role

The experimental work in all these projects involves design of the samples and of the measurement setups, cleanroom fabrication, running microwave measurements in dilution refrigerators, and data analysis. You are expected to participate in instructing PhD students.

Your experience and ambitions

For this challenging research, we are looking for brilliant and energetic individuals who are motivated in experimental, low-temperature quantum physics. We require the candidates to have a proven track record in experimental research with similar or related topics, clean room microfabrication, and strong interest in micromechanical systems. Additionally, the candidates should be excellent team players. Experience with cryogenics and dilution refrigerators, and skill in theoretical understanding of the studied phenomena, are considered significant assets.

We require the candidates to have excellent skills in English. Finnish language is not required. To be eligible, a postdoctoral researcher must hold a PhD degree in a suitable field.

What we offer

The Quantum Nanomechanics team, ambitous but relaxed with a great team spirit, carries out top -notch experimental research on the foundations of quantum mechanics. With superconducting qubits, we explore processing of quantum information with mechanical motion. In our more applied research, we lay the foundation for a new generation of devices that use various types of microwave-optomechanical effects for efficient signal processing. We have realized quantum-limited microwave amplifiers and nonreciprocal components to be used in superconducting quantum technology.

The fixed term contract is typically initially for two years and can be extended on mutual agreement. Aalto University follows the salary system of Finnish universities. The starting salary for a Postdoctoral researcher is approx. 4020 €/month. The salary ranges from 4020 € to 4420 € per month, depending on previous experience. The contract includes occupational healthcare.

The workplace will be the Otaniemi Campus of Aalto University, in the premises of the OtaNano national research infrastructure for micro- and nanotechnologies. OtaNano provides access to all the advanced nanofabrication, nanomicroscopy and measurement facilities and techniques. VTT Technical Research Centre of Finland on campus leverages the bridge between research and innovation. Several startup companies working with electronics, cryogenics, and quantum technology have recently emerged in the community. Our team belongs to the national Centre of Excellence – Quantum Technology Finland that is harnessing quantum phenomena for solid-state-based quantum devices and applications. We also belong to the European Microkelvin Platform collaboration.

Ready to apply?

To apply for the position, please submit your application including the attachments mentioned below as one single PDF document in English through our online recruitment system by using the link on Aalto University’s web page (“Apply Now”).

(1)   Letter of motivation

(2)   CV including list of publications

(3)   Degree certificates and academic transcripts

(4)   Contact details of at least two referees

The deadline for applications is April 30, 2024. We will go through applications, and we may invite suitable candidates to interview already during the application period. The positions will be filled as soon as suitable candidates are identified. For additional information, kindly contact Prof. Mika Sillanpää, [email protected]. Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not submitted applications during the application period.

Please note: Aalto University’s employees and visitors should apply for the position via our internal system Workday’s Internal Jobs by using their existing Workday user account.

Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world, Aalto People , and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto

Check out our new virtual campus experience: https://virtualtour.aalto.fi/

About Finland

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/en/careers-at-aalto/living-in-finland & https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package.

More about Aalto University:

Aalto.fi

youtube.com/user/aaltouniversity

linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity

instagram.com/aaltouniversity

twitter.com/aaltouniversity

Deadline: 2024-04-30 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD student in Building Technology with specialization on design of wood-based building systems

Vaxjo

Reference number: HR-2023/1802

Welcome to Linnaeus University! Here you’ll meet 2 200 staff members and 40 000 students, all united in following the vision to set knowledge in motion for a sustainable societal development. With us, research and education are conducted with an eye towards the future. Our proximity to the business world, both locally and globally, gives us a wide reach and the ability to create change that makes an impact. All that’s needed is a place where ideas have the space to meet and grow. That’s what we’ve created – and you are invited.

Change starts here!

The Faculty of Technology has a wide range of activities spanning nine different departments through which Linnaeus University provides education and conducts research. The courses in technology cover everything from short courses of a few weeks or months to five-year Master of Science in Engineering courses. The research responds to society’s needs in several broad fields – both in the short and long term – with basic research and applied research in collaboration with stakeholders.

The department of Building Technology has extensive collaboration with business partners in research and education. The department works together with the neighboring departments for a creative environment with challenging educations and outstanding research. Research in building technology includes wood building technology, steel, concrete and composite construction technology, building physics, historical structures, structural health monitoring, life cycle analysis and building materials.

The doctoral position is part of the research profile Competitive timber structures, which contributes to the green transition of the construction sector.
Further substitution of non-renewable construction materials with wood is needed and this, in turn, requires wood-based products and structures to be improved with respect to resource efficiency, performance, cost-effectiveness and circularity.

Admitted to: Building Technology
Type and terms of employment: The employment as a doctoral student is limited according to chapter 5, section 7 of the Higher Education Ordinance. The total employment period may not be longer than the equivalent full-time postgraduate studies of four years. The Higher Education Ordinance states that those who are employed as PhD students must primarily engage in their own education. However, an employee may to limited extent work with education and administration. Such work may, before the doctoral degree has been completed, not cover more than 20% of full-time work.
Location: Växjö
Start: Access by agreement.

Work description
The PhD student will focus on numerical and experimental investigations of wood-based composite floor systems and their connections. Structural analysis of the floor systems (incl. connections), as part of an holistic approach including fire design, acoustics and the architectural engineering perspective covered by other project partners, is used to develop optimized wood-based floor systems. The work should give new insights into the requirements for improved engineered wood products to be used in resource efficient composite floor elements. The work should contribute to the development of competitive floor and connection systems, with a focus on the detachability and reuse of the elements at the end of their service life. The work should also contribute to the development of standard solutions and design models to be implemented in application rules. It will include mathematical modelling, including finite element modelling, as well as planning and realization of laboratory experiments and on-side investigations. The work will include close collaboration with industry partners and partners from other research disciplines.

As a part of the training the PhD student will take courses as agreed with the supervisors.

The Higher Education Ordinance states that a person who is employed, as a PhD student should primarily devote himself/herself to his/her own studies. However, an employee may to a limited extent work with education, research and administration. Such work may, before the doctoral degree has completed, not cover more than 20% of a full-time work.

Requirements
General requirements

A person fulfils the general entry requirements if he/she has:

  • Graduated at advanced level
  • Completed undergraduate program of at least 240 credits, including 60 credits at the advanced level or
  • The equivalent knowledge obtained in or outside of Sweden

Specific requirements

  • A minimum of 90 higher education credits in the subject Building Technology or in subjects related to the doctoral level studies, or equivalent knowledge acquired in some other manner either in Sweden or abroad,
  • A very good command of English.
  • That the applicant is judged to have the ability needed to assimilate the education

Other requirements
In-depth knowledge in the following areas:

  • Structural engineering,
  • Computational mechanics including the finite element method,
  • Programming – implementation of methods and procedures in computer code.

Desirable qualifications

In-depth knowledge in the following areas:

  • Wood mechanics and timber engineering,
  • Steel and concrete, building materials and structures

Experience of:

  • Experimental/laboratory investigations,
  • Teaching on different levels and communication of research results.

We are looking for you who are curious, analytical and always thorough in your work and who want to develop your ability both by taking personal responsibility and by utilizing results and insights that have been developed through the research group’s previous work.

Assessment criteria
The selection to third cycle studies is based on the assessed ability to pursue the studies. The assessment focuses mainly on study results from first cycle and second cycle studies. The following is considered:

  1. Knowledge and skills relevant to the thesis work and the subject, see Work description, Other requirements and Desirable qualifications above. These can be shown via attached documents
  2. Assessed ability to work independently and ability to formulate and approach scientific problems. The assessment may be based on the degree project and a discussion about this at a possible interview
  3. Level of written and oral communication
  4. Other merits relevant to the third cycle studies, e.g. professional experience

Consideration will also be given to good collaboration skills, forward-thinking spirit, independence and personal suitability, as well as how the applicant, through his or her experience and competence, is judged to have the ability needed to cope with the doctoral program.

Application process
Applicants are expected to submit their application in English, which should include:

  • A personal letter which states the reason for being interested in the position and in which ways the research project corresponds to your interests, experience and educational background
  • A CV
  • Master’s degree transcripts/diploma, and copy, or link, to master degree project
  • Any other relevant documents (references, recommendation letter, transcript of records)
  • Completed application form

For further information, please contact
Head of department and main supervisor Prof. Thomas Bader, phone number +46 470 76 75 79, email thomas.bader@lnu.se
Co-supervisor Dr. Michael Schweigler, phone number +46 470 70 83 54, email michael.schweigler@lnu.se
HR-partner Linda Wincent, 0480-49 76 75, linda.wincent@lnu.se

Welcome with your application according to instructions at the latest, April 1, 2024

Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization.

Please apply by clicking on the “Apply” button at the bottom of the ad. Applicants are requested to the application resolving CV, cover letter , a copy of a relevant essay , grades and certificates and other relevant documents. The applicant also requested to submit with their application a proposed research plan within the current area of research. All documents must be attached to digital in the application. The application and other documents shall be marked with the reference number. All documents cited must be received by the University no later than 24.00 (Local time in Sweden) on the closing day.


Read the job description at the university homepage

Apply

Postdoc position in electric vehicle battery modelling

Published: 2024-02-15

The Department of Chemistry – Ångström conducts research and education in the chemistry field. The department has more than 270 employees and has a turnover of 290 million SEK. At the department’s six programs, we conduct very successful research of a high international standard. We have a large number of externally funded research projects, often with international cooperation and we see continued good growth in our subject area. The department has education assignments in engineering programs and master’s programs. More information is available on our website. (https://kemi.uu.se/angstrom/?languageId=1). 

The Department of Chemistry – Ångström Laboratory has for many years hosted an environment focused on research and development of materials and their applications within the energy storage area: the Ångström Advanced Battery Centre. We develop novel electrode and electrolyte materials, characterize them, evaluate and improve them with respect to battery performance, and study fundamental chemical processes and properties using both experimental and computational techniques. The research is, as such, both fundamental and applied.

Work duties
The main duties involved in a post-doctoral posistion is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The project concerns modelling of electric vechiles, primarily heavy duty vehicles, and their interaction with the grid in future scenarios. The load on the electric vechile battery pack will affect its ageing, which in turn depends on cell chemistry, cooling, pack design, etc. The project aim is to model battery ageing from realistic user scenarios, coupled to system level model of the vehicle. The research will be carried out in collaboration with a vehicle manufacturer. 

Supervision of master thesis and PhD students may be involved. Collaboration with other universities and industry will be necessary for the project. The research will primarily involve physical modelling of Li-ion batteries through finite element methods and electric-electrochemical modelling of vehicle batteries. 

Requirements
PhD degree in chemistry, physics, materials science or engineering, or a foreign degree equivalent to a PhD degree in these disciplines. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.

The assessment of applications is based primarily on the applicant’s ability to conduct independent research based on scientific skill. Greater importance is attached to the quality of individual scientific work, than to the amount of publications.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.

The applicant shall be well familiar with modelling techniques and software in multiphysics (Ansys, Comsol or similar), or alternatively with electric modelling techniques for batteries. The applicant should be fluent in written and spoken English. 

Desirable qualifications
Experiences in battery technology, especially Li-ion batteries, will be beneficial. Programming skills and experiences of working with large datasets will be useful.

About the employment
The employment is a temporary position of 2 years according to central collective agreement. Scope of employment 100 %. Starting date June 1, 2024 or as agreed. Placement: Uppsala

For further information about the position please contact: Prof. Daniel Brandell, +46-18-4713709, Daniel.Brandell@kemi.uu.se

Please submit your application by April 1 2024, UFV-PA 2024/584.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-04-01 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

Doctoral studentship in Energy and Environmental Engineering

Vaxjo

Reference number: HR-2024/350

Welcome to Linnaeus University! Here you’ll meet 2 200 staff members and 40 000 students, all united in following the vision to set knowledge in motion for a sustainable societal development. With us, research and education are conducted with an eye towards the future. Our proximity to the business world, both locally and globally, gives us a wide reach and the ability to create change that makes an impact. All that’s needed is a place where ideas have the space to meet and grow. That’s what we’ve created – and you are invited.

Change starts here!

The Faculty of Technology strives to ensure that Linnaeus University’s vision permeates all activities, with a focus on the keywords: Attractive knowledge environment, Excellent research, Social drive, and Global values. The Faculty of Technology has broad operations spanning ten different departments through which Linnaeus University provides education and conducts research.

The Department of Built Environment and Energy Technology provides education and conducts research in energy systems and built environment to support our society’s transition to a sustainable development and a low carbon economy.

Subject area for the position: Energy and Environmental Engineering
Location until further notice: Växjö
Terms and hours: The doctoral studentship is limited in time in accordance with the Higher Education Ordinance (Chapter 5, Section 7). The studentship is full-time.
Starting date: Starting date as agreed upon, latest by 01 September 2024

Job description
The Higher Education Ordinance states that a person who is employed, as a PhD student should primarily devote himself/herself to his/her own studies. However, an employee may to a limited extent work with education, research and administration. Such work may, before the doctoral degree has completed, not cover more than 20% of a full-time work.

The construction sector has a significant role to play in the transition to a circular and resource-efficient economy. In the European Union, this sector accounts for 50% of all extracted materials, 35% of the waste generation, and up to 12% of Green House Gas (GHG) emissions. Greater material efficiency and circularity can substantially reduce these emissions, waste, and the amount of extracted materials. However, there are several barriers to the transition to a circular building economy.

The PhD candidate will investigate the conditions and preparedness of the Swedish building sector in the transition towards a circular economy. The PhD candidate will (i) map out and estimate the potential for circularity of various materials coming out of from the renovation of a building, (ii) apply the sociotechnical transition theory to analyse the role of various actors, institution and contextual factors in the transition; and (iii) develop strategies and business models for transition to a circular building sector.

Eligibility
A person meets the general entry requirements for third-cycle studies if they:

  • Have been awarded a degree at the second-cycle level
  • Have at least 240 credits of passed courses, of which at least 60 credits are at the second-cycle level; or
  • Have acquired essentially equivalent knowledge in some other way, in or outside Sweden.

A person meets the specific requirements for third-cycle studies if they:

  • At least 90 credits in the subject Energy and Environmental Engineering or subjects relating to the proposed research subject or equivalent knowledge acquired in any other manner within or outside of Sweden.
  • A good language skill in English and preferably Swedish as well.

Desirable qualifications

  • Working experience relevant for research studies
  • Experience of social surveys and statistical tools
  • Knowledge of artificial intelligence and machine learning 

Assessment criteria
Applications to graduate studies are governed by rules in the admission regulations.

The selection of candidates is made with regard to the applicant’s ability to successfully complete and benefit from their studies at the graduate level. The assessment takes into account academic skills documented in scientific works, especially focused on the quality of the essays at the undergraduate level, any advanced work and other scientific or scholarly works. The assessment also takes into account breadth and composition of the undergraduate degree as well as the picture which the intended principal academic supervisor, examiner, and other colleagues in the research group and the subject obtained of the applicant’s potential.

The applicants are ranked by a review group appointed by the subject.  

Contact
Head of department Prof. Michael Strand, michael.strand@lnu.se; +46 470 708981
Main supervisor Prof. Krushna Mahapatra, Krushna.mahapatra@lnu.se; +46 470 767813
HR partner Jesper Pettersson, jesper.pettersson@lnu.se

Welcome to apply according to instructions, last day to apply is 19 March 2024

Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization.

Please apply by clicking on the Apply button at the bottom of the ad. Applicants are requested to the application resolving CV, cover letter , a copy of a relevant essay , grades and certificates and other relevant documents. The applicant also requested to submit with their application a proposed research plan within the current area of research. All documents must be attached to digital in the application. The application and other documents shall be marked with the reference number. All documents cited must be received by the University no later than 24.00 (Local time in Sweden) on the closing day.


Read the job description at the university homepage

Apply

PhD-student in Energy Engineering electroconversion of lignin/derivatives

Norrbottens län, Lulea

Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, public actors and leading universities. Luleå University of Technology has a total turnover of SEK 1.9 billion per year. We currently have 1,840 employees and 17,670 students. In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future.

Energy Engineering within the Division of Energy Science belongs to the Department of Engineering Sciences and Mathematics. It is an institution with many successful teams and recognized educational programs. We work closely with companies/industries in both research and student projects. The conducted research has high international standard and close collaborations around the world.

The Division of Energy Science at Luleå University of Technology has an open PhD position in the subject of Energy Engineering. Your research studies will focus on developing an ionic liquid-based electrochemical conversion to dissolve, activate, and covert lignin and its derivatives to bio-chemicals on the anode side and simultaneously to generate green hydrogen in the cathode side.

Subject description
Energy engineering concerns the development of technologies and processes in order to build a sustainable energy supply. The research focuses on bioenergy technologies and energy efficiency in industry and society.

Project description
This is is a four-year PhD project, with financial support from the Swedish Energy Agency and the cooperation with the Umeå University. The overall aim of the project is to develop effective ionic liquids (ILs) as promoters to improve performance.

Within the PhD project, we will develop a novel concept to produce bio-based aromatic chemicals and green H2 simultaneously from lignin, focusing on the anode side to lower the energy demand, where ionic liquids will be used to promote the dissolution and activation of lignin and its derivatives, nanostructured electrocatalysts (anodes) will be developed, and energy, cost, and environmental impact will be quantified, and machine learning will be used.

Duties
As a PhD student you are expected to perform both experimental and theoretical work within your research studies as well as communicate your results at national and international conferences and in scientific journals. Most of your working time will be devoted to your own research studies. In addition, you can have the opportunity to try the teacher role. As a researcher, you work as a neutral party in many contexts, which provides a great opportunity to be involved in challenging development projects.

As a PhD student, you will work toward a doctoral degree as the final goal, according to the goals specified in the Higher Education Ordinance. In parallel with your thesis work, you will also develop your general skills by taking courses as part of your research education.

Qualifications
To be eligible for employment, you must have a degree of Master of Science in Electrochemistry, Chemical Engineering, Materials Science, Energy Engineering, or similar specializations. You should have a good knowledge in English language and good oral and written proficiency. It is desirable that you have a strong interest in converting biomass (lignin) via electrochemical conversion. We value a candidate who likes to work in a team but can also take the initiative on his/her own. We see it as an advantage if the candidate has research experience on electrochemical conversion and ionic liquids for biomass dissolution.

For further information about a specific subject see:

General curricula for the Board of the faculty of science and technology

Information
Full-time fixed-term employment for four years (up to a maximum of five years). Departmental duties, such as project management, administration and/or lecturing, up to 20 % of full time may be added. The lecturing assignments are within the courses given for the MSc program in Sustainable Energy Engineering. Placement: Luleå. Starting: According to agreement.

For further information, please contact:
Xiaoyan Ji (LTU), Professor, (+46) 920-49 2837 xiaoyan.ji@ltu.se
Aatto Laaksonen, Professor, (LTU/SU), aatto@mmk.su.se
Thomas Wågberg, Professor, (UmU), thomas.wagberg@umu.se

In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version is preferred.

Union representatives:
SACO-S Kjell Johansson (+46) 920-49 1529 kjell.johansson@ltu.se 
OFR-S Lars Frisk (+46) 920-49 1792 lars.frisk@ltu.se

Application
We ask you to apply for this position by clicking on the apply button below. The application should include a CV, personal letter, and copies of verified diplomas from the university level. Your application, including diplomas, must be written either in English or Swedish. Mark your application with the reference number below.

Closing date for applications : March 27, 2024
Reference nember: 395-2024

Read the job description at the university homepage

Apply

Researcher in coordination of emobility

Job description

Driven by the environment concern and sustainable requirement, electric vehicles (EVs) have attracted global attention as they provide more environmentally friendly transportation. However, the large-scale utilization of EVs will greatly increase the electricity consumption in the grid. If charging of EVs are not managed, it will pose significant impact on grid and require expensive grid reinforcement. On the other hand, vehicle to grid (V2G) and smart charging will provide opportunities to minimize grid impact and provide grid support for smooth integration of EVs. Moreover, V2G can be integrated with renewables to form a virtual power plant (VPP) for enhanced sustainability and profits.

This project aims to develop efficient coordination and management of EVs and virtual power plants (VPPs) considering both technical and economic aspects. A software platform will be developed to demonstrate the results.

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future.
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Work in Stockholm , in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree 
  • Research expertise in optimization/machine learning 
  • The ability to work towards research results being utilised in practice.
  • The ability to inform about research and development work
  • Collaborative abilities.
  • Independence.

Preferred qualifications

  • Strong expertise in power system optimization or AI
  • Experience of developing and leading activities and staff
  • Teaching ability
  • Knowledge of diversity and equal opportunity issues, with specific focus on gender equality 

Great emphasis will be placed on personal skills.

Trade union representatives

You will find contact information to trade union representatives at KTH’s webbpage.

To apply for the position

Log into KTH’s recruitment system in order to apply for this position. You are the main responsible to ensure that your application is complete according to the ad. Your complete application must be received at KTH no later than the last day of application.

The application must include:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.

Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time). 

About the employment

The employment is valid for a limited time according to the agreement – for up to 12 months, with access according to agreement.

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible security check.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence

Deadline: 2024-03-05 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD scholarship in Industry 4.0, Freight Transport and Technology implementation at DTU Engineering Technology

Denmark is in the global elite within freight transportation. Global competition, increasing quality expectations, sudden supply chain disruptions, and growing demands for sustainability requires continuous adaptation and change in the industry.

With this PhD scholarship you will break new ground in researching technology implementation in freight transportation. Your PhD project will study the journey of real-life cases in freight transportation companies. Working alongside freight and technology specialists, you will contribute significantly to freight transportation research and the technology implementation body of knowledge.

You will become part of our section ‘Production, Transportation and Planning’ at DTU Engineering Technology. Our group is diverse in culture, nationalities, personality types, and career paths. We enjoy collegial idea generation, feedback and cooperation in an informal, safe and fun working environment. Your supervisor will be Associate professor Samuel Brüning Larsen from DTU Engineering Technology and co-supervisor Professor Allan Larsen from DTU Management.

Responsibilities and qualifications
Your primary tasks will be to:

  • Conduct qualitative research by following a series of contemporary cases
  • Write academic papers aimed at high-impact journals
  • Participate in international conferences and workshops
  • Disseminate research results and teach as part of the overall PhD education
  • Learn the role of the researcher and the specific tasks how to conduct research
  • Participate in teaching and student project supervision

You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree.

We are looking for an ambitious, self-organized individual with curiosity and deep interests in how new technologies can be usefully applied in industry. While high-levels skills in programming or mathematics are not required, applicants should have experience in one or more of the following areas: Transportation, logistics, IT or technology implementation, Operations Management, industrial engineering, or related disciplines.

We welcome applications from technical universities and IT universities as well as candidates from technology or engineering faculties at general universities. Also relevant are candidates from business schools, who have studied relevant fields (e.g. operations, logistics, transportation or other ‘process-oriented’ fields).

The independent nature of a PhD requires strong skills in project management and written communication. Proficiency in Danish language and prior experience in academic writing are assets, but not requirements.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU’s rules for the PhD education.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation, and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms 
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You can read more about career paths at DTU here.

Further information 
Further information may be obtained from Associate Professor Samuel Brüning Larsen (sbla@dtu.dk). You can read more about DTU Engineering Technology at www.engtech.dtu.dk/English.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.

Application procedure 
Your complete online application must be submitted no later than 20 March 2024 (23:59 Danish time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply now”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma (in English) and Official description of grading scale
  • If necessary, include an explicit description of how your Master’s degree is 120 ECTS

You may apply prior to ob­tai­ning your master’s degree but cannot begin before having received it.

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

About DTU Engineering Technology
We work at the forefront of university-industry collaboration and develop tools and methods for technology implementation. We are organized in 11 research groups all focused on technology implementation, engineering technology and engineering education within a wide range of engineering fields.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

Deadline: 2024-03-20 at 23:59
Unit: dtu

Read the job description at the university homepage or apply.

PhD student in Scientific Computing focusing on Scientific Machine Learning

Published: 2024-02-15

Are you interested in working in the area of scientific machine learning, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for a PhD position at Uppsala University. 

The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website.

The position is hosted by the Division of Scientific Computing (TDB) within the Department of Information Technology. As one of the world’s largest focused research environments in Scientific Computing the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence, where it plays key roles in several new strategic initiatives at the University. The division currently hosts 20 PhD students, with more than 90 doctorates awarded. Several PhD alumni from the division are successful practitioners in the field of scientific computing and related areas, in industry as well as in academia.

The division is also an important part of the eSSENCE strategic collaboration on e-science, and the Science for Life Laboratory (SciLifeLab) network. SciLifeLab is a leading institution and national research infrastructure with a mandate to enable cutting-edge life sciences research in Sweden, foster international collaborations, and attract and retain knowledge and talent. The successful candidate will be hosted by the Scientific Machine Learning group at TDB. The group specializes in developing theory, methods and software for enabling data driven science. We have a wide network of collaborators, and there will be opportunities to work together with excellent researchers within Sweden and abroad.

Project description
The successful candidate will join us in developing principled foundations of learning from noisy datasets, with opportunities to validate the methods on challenging scientific problems. There will be a strong focus on deep learning and Bayesian methods in the context of the project. We will consider the problem setting of simulation-based inference, where machine learning models are used to learn expressive, informative features from high-dimensional scientific data arising from both, simulations and experiments. We will consider various forms of data, including structured representations such as time series (e.g., studying protein interactions via observed copy numbers) and images (e.g., microscopy). Technical keywords for the position include variational inference, likelihood-free parameter inference, robust learning and large-scale optimization.

Duties
A Ph.D. student is expected to devote their time to graduate education mainly. The rest of the duties may involve teaching at the Department, including also some administration, to at most 20%.

Requirements
To meet the entry requirements for doctoral studies, you must

  • hold a Master’s (second-cycle) degree in computer science, computational science, applied mathematics, engineering physics, machine learning, data science, or a related field, or
  • have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
  • have acquired substantially equivalent knowledge in some other way.

We are looking for candidates with

  • a strong interest in optimisation, machine learning, and Bayesian inference,
  • good communication skills with sufficient proficiency in oral and written English,
  • excellent study results, 
  • programming proficiency (preferably in Python),
  • personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving are essential.

Additional qualifications
Experience and courses in one or more subjects are valued: optimisation, probabilistic machine learning, linear algebra and deep learning.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

Application
The application must include: 
1) a statement (at most 2 pages) of the applicant’s motivation for applying for this position, including a self-assessment on why you would be the right candidate for this position; 
2) a CV;
3) degrees and transcript of records with grades (translated to English or Swedish); 
4) the Master’s thesis (or a draft thereof, and/or some other self-produced technical or scientific text), publications, and other relevant documents; 
5) references with contact information (names, emails and telephone number) and up to two letters of recommendation. 
 
Applicants who meet at least one of the entry requirements are strongly encouraged to apply. All applicants should state their earliest possible starting date.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 19 August 2024 or as agreed. Placement: Uppsala. 

For further information about the position, please contact: Assistant Professor Prashant Singh, e-mail: prashant.singh@scilifelab.uu.se; Head of Division Emanuel Rubensson, emanuel.rubensson@it.uu.se.

Please submit your application by 2 April 2024, UFV-PA 2024/616.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-04-02 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

Postdoc in hydrometallurgy for critical metals recovery

You will work in the field which is expanding exponentially and you will build the knowledge and competence which is going to be needed for decades. You will work in the chemical laboratory, but also participate at conferences and workshops and you will be a member of very dynamic and ambitious team. You will be expected to strive to perform the excellent research out of the state of the art.

Project description
The postdoc position will be focused on the valorisation of residues generated by the extractive industry via recovery of contained critical minerals. The main responsibilities are to perform the research on the project, organize and plan own work independently, participate at the project meetings, help with the teaching and be active in the dissemination.

The research group is internationally and nationally recognized to be one of the most successful groups in the field. Group has an extensive collaboration with the industry and it also has a large network in the metal production and recycling sector.

Information about the division and the department
The Nuclear Chemistry / Industrial Materials recycling research group comprises 9 senior scientists and 20 PhD students and postdocs. The research group is highly international, both regarding international collaborations and in the staff, which currently represents 11 nationalities.

The group is specialized in aqueous chemistry, solvent extraction, high temperature processes and supercritical fluid technology, which are used for both recycling of materials and nuclear applications. The research has initially focused on the recovery of precious metals and then come to include also rare earth elements (REE). Currently, research projects of the group cover the main waste-related global problems such as recycling of batteries, electronic waste (WEEE), solar cells, metallurgical production waste, and other items containing valuable metals or REEs. The investigation and recovery of metals from ash from incineration of municipal waste is also the long term research field of Industrial Materials Recycling.

The research of the group is a part of the Competence Centre for Recycling (CCR), and we support sustainable development and societies, as well as recycling and waste recovery activities both academically and industrially by collaborations.
Industrial Material Recycling is included in the division of Energy and Materials along with Nuclear Chemistry, and Environmental Inorganic Chemistry.

Since the department is also a nuclear facility, only citizens of the countries who are signatory of Treaty on the Non-Proliferation of Nuclear Weapons can apply and be considered for the position. Please check the status of your country before applying.

Major responsibilities
As a postdoc you are supposed to focus on the research questions relating to your project. In this case the development of new hydrometallurgical processes for the recycling of critical metals. There will be considerable hands-on laboratory work involving aqueous chemistry and techniques such as leaching and solvent extraction. In addition, you are supposed to take an active part in the teaching of both B.Sc. and M.Sc. students and be included in some departmental duties and co-supervision of PhD students.

Qualifications
You are expected to have graduated as PhD in Chemistry or Chemical engineering or similar preferably with Organic Chemistry, Inorganic Chemistry or Hydrometallurgy as specialty. Experience in solvent extraction would be meritous.

Applications without a documented knowledge of chemistry will be systematically disregarded.

Ability to work in a multi-cultural environment is essential.

To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service*.

The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.

You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education.

* The date shown in your doctoral degree certificate is the date we use, as this is the date you have met all requirements for the doctoral degree.

Contract terms
This postdoc position is a full-time temporary employment for two years.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with 20240088 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document as: CV, Surname, Ref. number) including:
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous research fields and main research results
• Describe your future goals and future research focus

Other documents:
• Attested copies of completed education, grades and other certificates.

Use the button at the foot of the page to reach the application form.

Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered.

Application deadline: 2024-04-12

 
For questions, please contact:
Martina Petranikova, Energy and Materials,
martina.petranikova@chalmers.se, 0046725176522

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!


 

Deadline: 2024-04-12 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD scholarship in Environmental Economics and Sustainable Finance – DTU Management

The Climate and Energy Policy Division of DTU Management, Department of Technology, Management and Economics, invites applications for a three-year PhD scholarship in environmental economics, starting in 2024. We are looking for an excellent and highly motivated Ph.D. candidate with an interest in doing frontier economic research on how finance can help economies decarbonize.

In recent years, the Climate and Energy Policy Division has rapidly expanded to become a leading research-oriented unit in Denmark, achieving international recognition in the fields of environmental, climate, and energy economics. We are committed to producing outstanding research with the highest academic and social impact and to offer excellent research conditions. The division hosts a dynamic community of PhD students.

Review of applications will start early March and will continue until the deadline, so candidates are encouraged to apply promptly. We reserve the right to extend the application period.

Responsibilities and qualifications
The scholarship is linked to a project focusing on the effectiveness and design of climate policy and sustainable finance, led by Associate Prof. Julien Daubanes, and featuring collaboration with international partners.

Eligible candidates will have:

  • A two-year master’s degree in economics or finance;
  • An excellent educational background in quantitative economics and econometrics;
  • An interest in empirical research and economic modeling;
  • Mastery of academic English in writing and speaking;
  • A capacity to produce rigorous research publishable in leading economics journals;
  • Excellent presentation skills.

Besides, the candidates’ ability and willingness to collaborate effectively with the project’s team will play a role in our assessment.

The position provides support for research and travel expenses, including to conduct research at another institution in Denmark or abroad. We are committed to offering the opportunity to conduct independent research. Beyond research, the successful candidate will be expected to participate in community activities such as workshops and seminars.

We also offer excellent guidance and supervision in anticipation of the international post-PhD academic market for junior economists.

You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree ) at the time of employment.

Approval and Enrolment 
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programs at DTU. For information about our enrolment requirements and the general planning of the PhD study program, please see DTU’s rules for the PhD education

Assessment
Review of applications will start early March and will continue until the deadline, so candidates are encouraged to apply promptly. We plan to invite short-listed candidates for an interview in March and April. We reserve the right to extend the application period.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You can read more about career paths at DTU here.

Further information
Further information about the position may be obtained from Associate Prof. Julien Daubanes (email: jxada@dtu.dk) and Head of Section, Professor Ugur Soytas (uguso@dtu.dk) both from the Climate Economics and Risk Management section.

You can read more about the department at DTU Management.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. 

Application procedure 
Your complete online application must be submitted no later than 2 April 2024 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply now”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • A letter motivating the application (cover letter)
  • Curriculum vitae 
  • Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
  • One example of a selected written work (e.g. master’s thesis).

You may apply prior to ob­tai­ning your master’s degree but cannot begin before having received it. 

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

Who are we?
DTU Management conducts excellent research at the intersection of management, technology and economics. We develop solutions in close cooperation with companies and public authorities. Our research aims to strengthen welfare, productivity and sustainability within society. A key element is technology’s role and its interaction with industry and individuals. The department offers a wide range of courses and programs at the bachelor’s, master’s and PhD levels across DTU’s study programs. The department has 200+ employees, with approximately 50% coming from abroad.

Technology for people
DTU develops technology for people. With our international elite research and study programs, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

Deadline: 2024-04-02 at 23:59
Unit: dtu

Read the job description at the university homepage or apply.

PhD student in Machine Learning building on physical principles

Published: 2024-02-15

Are you interested in working in the intersection between machine learning and physics, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for a PhD position at Uppsala University.                        

Uppsala University has a long tradition of successful research – among its alumni are 16 Nobel Prize laureates, including, most recently, Svante Pääbo. The University is unique when it comes to combining IT with wider research, from life sciences to the humanities, and this collaboration is currently facilitated by AI4Research and the Centre for Interdisciplinary Mathematics.

The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website.

At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical systems, neuroscience, and safety and security.

The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the University of Cambridge, University of Oxford, Imperial College, University of Sydney, University of Newcastle and Aalto University. We strive for all PhD students to get a solid international experience during their PhD.

Project description
There are two main strategies to derive and deduce models – either using theory-based first principles or data-driven approaches. This project aims to conduct basic research to create new tools for using these two modeling strategies in conjunction. Combining all prior knowledge, both in terms of available data and physical first principles, has the potential to result in better models than if we only had to rely on one of them. How physics should be combined with data-driven machine learning models depends on the problem and is an active and in many areas still underdeveloped research field. 

By making machine learning models more physics-informed, they will also become more interpretable. This interpretability can transform these machine learning models from being black-box models into full-fledged scientific tools enabling new knowledge discoveries. Therefore, one aim of this project is to create machine learning models that not only can be leveraged by first principles, but in the future also can be used to enable new knowledge discoveries in the physical domains in which they are employed. Finally, the project also aims to use theories from physics to better understand why machine learning models are working, how they can be improved and quantify their fundamental limitations. 

We have a strong connection with collaborators in physics and material science at Uppsala University, with a growing interest in using machine learning methods to advance knowledge in their respective domains. These collaborations can enable relevant applications as part of the project.

The exact research topic is decided in a dialogue between the doctoral student and the supervisor. The position is funded by the Swedish Research Council.

Duties
A doctoral student will devote the time to graduate education mainly. The rest of the duties may involve teaching at the Department, including also some administration, to at most 20%.

Requirements
To meet the entry requirements for doctoral studies, you must

  • hold a Master’s (second-cycle) degree in engineering physics, theoretical physics, applied mathematics, electrical engineering, data science or in a similar field, or
  • have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
  • have acquired substantially equivalent knowledge in some other way.

We are looking for candidates with

  • a strong interest in machine learning and physics,
  • good communication skills with sufficient proficiency in oral and written English,
  • excellent study results,
  • high proficiency in programming (preferably in Python),
  • personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving are essential.

Additional qualifications
Experience and courses in one or more subjects are valued: machine learning, deep learning, optimization, signal processing, control theory, thermodynamics, statistical mechanics. 

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

Application
The application must include: 
1) a statement (at most 2 pages) of the applicant’s motivation for applying for this position, including a self-assessment on why you would be the right candidate for this position; 
2) a CV;
3) degrees and transcript of records with grades (translated to English or Swedish); 
4) the Master’s thesis (or a draft thereof, and/or some other self-produced technical or scientific text), publications, and other relevant documents; 
5) references with contact information (names, emails and telephone number) and up to two letters of recommendation. 

Applicants who meet at least one of the entry requirements are strongly encouraged to apply. All applicants should state their earliest possible starting date.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 19 August 2024 or as agreed. Placement: Uppsala. 

For further information about the position, please contact: Assistant Professor Niklas Wahlström, niklas.wahlstrom@it.uu.se.

Please submit your application by 28 March 2024, UFV-PA 2024/597.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-03-28 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD student position in Antenna design for 6G telecommunication

We offer a PhD position where you will be exposed to the state of the art in millimeter-wave antenna systems, have the opportunity to contribute to large international projects, as well as projects with Swedish and Dutch industry. This position is a great opportunity for you to learn both the scientific knowledge and practical skills in key enabling technologies of digital transformation – the area of great importance for industry and society.

Background of the research project
Join the frontier of innovation in 6G: the future of mobile networks technology! A unique Dutch-driven alliance in collaboration with Ericsson and Chalmers, comprising 60 leading ICT businesses, mobile operators, semiconductor manufacturers and research institutions, have united to spearhead the development of specific aspects of 6G: Software antennas, AI-driven network software, and groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge.

This PhD project is among approximately 50 PhD positions in this 6G development team! You will benefit from training in 6G antenna and RF chip design, and get familiarized with other related fields such as 6G networks, AI, and software development. Furthermore, you will have access to a unique state-of-the-art testbeds to also put theory to practice and you will be at the forefront of the European 6G national ecosystem. We will also support and encourage entrepreneurial activities.

Information about the division and the department
The PhD position is placed at the Antenna Group, part of the Department of Electrical Engineering (E2). At Chalmers the Antenna Group is well known in Sweden and internationally for its scientific contributions to antenna systems for telecommunications, radars, satellites, astronomy and space sciences, as well as disruptive antenna technologies for new applications, such as 6G, having resulted in successful spin-off companies Gapwaves and Bluetest. We offer international PhD courses where we extend the fundamentals in antennas to the cross-disciplinary fields, covering electronic devices, integrated circuits, signal processing, and digital communication. We also offer training and access to a new world-class experimental infrastructure, the Millimeter wave -THz antenna chamber, at Chalmers, and the Swedish National Infrastructure for Computing. Furthermore, we stimulate commercial exploitation of the results developed in the research projects through collaborations with industries and offer support of Chalmers innovation office for spin-off/start-up activities. At present, the Antenna Group has about 25 members from all over the world. The research and learning environment is international and English is the working language. We encourage personal health and well-being by organizing social events, providing annual wellness allowance to employees, and offering support from the international staff mobility office to newcomers from abroad, including help with the search for affordable student accommodation. A vast majority of our graduates successfully continue their professional careers in Swedish and European industry.

Major responsibilities
In this PhD project, you will perform cutting-edge research on mm-wave active array antennas with integrated electronic components: The PhD student is expected to develop a new efficient optimization method for large antenna arrays (such as phased arrays and reflective intelligent surface arrays). The key enabler as presently considered is the combination of advanced computational efficient electromagnetic methods and modern machine leaning based approaches. Key design challenges involve working with high millimeter-wave frequencies (E-, W-, and D-bands) while keeping costs down and managing antenna size and complexity.

Your research will include fundamental theoretical studies, numerical simulations, and measurements of a performance verification system to be developed in collaboration with senior researchers at Chalmers and Ericsson teams. You are expected to publish papers of high quality and collaborate with other PhD students and senior researchers in the team. 

To maximize the success of your PhD project, you will visit other international partners, in particular, those involved in the FNS flagship project. The position generally also includes teaching on Chalmers’ undergraduate level or performing other duties corresponding to about 10% percent of working hours.

Read more about doctoral studies at Chalmers here.

Qualifications
To qualify as a PhD student, you must have, or expect to receive soon, a master’s level degree corresponding to at least 240 higher education credits in Electrical Engineering, Engineering Physics, Technical Physics or similar. Knowledge of electromagnetic fields, microwave and antenna engineering is required. You also need to enjoy working in a team and have the ability to present scientific results in English, both in writing and orally. Experience in CST, HFSS, ADS or similar is required.

Advantageous merits: previous design experience in the area of microwave and antenna engineering, previous teaching experience, programming skills (Matlab and Python), knowledge of mathematical analysis.

If Swedish is not your native language and you are interested in learning it, Chalmers offers Swedish courses that are free for PhD students. Although the knowledge of Swedish is not mandatory for teaching and research, many PhD students decide to follow these courses.

Contract terms
PhD students in Sweden have status of employees and have salary, while at the same time have the benefits of students such as reduced transportation costs, subsidized housing etc. The duration of the PhD student contract is full-time four years, plus `X’, where `X’ is typically 5-6 months, depending on the departmental duties and teaching.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with reference number 20240086 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document: CV, Family name, reference number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, ref.number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.

Use the button at the foot of the page to reach the application form. 

Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered.

For questions, please contact:
Professor Marianna Ivashina, E2, Chalmers,
marianna.ivashina@chalmers.se

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!
 


 

Deadline: 2024-03-20 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD fellowship in Formal Verification

PhD Project in Verified, Distributed Stream Processing
Department of Computer Science
Faculty of SCIENCE
University of Copenhagen

The Department of Computer Science invites applicants for a PhD fellowship in Formal Verification. The PhD project is part of the research project DISCOVER (Distributed Streaming Computations, Verified) funded by the Independent Research Fund Denmark (DFF).

Start date is (expected to be) June 1, 2024 or as soon as possible thereafter.

The project
Today’s software and hardware systems produce massive amounts of data. Stream processing frameworks are vital tools for software engineers and data scientists to tame this data. They provide convenient programming abstractions that allow their users to express the desired data analysis. From the expressed analysis, they generate a distributed program and deploy it on computing clusters, which enables the massively parallel processing of data. Apache Flink, Apache Spark, and Google Cloud Dataflow are examples of mature stream processing frameworks that are widely used in industry. For thousands of users these frameworks serve as both the programming language and the operating system. Yet, these systems exhibit unreliable and unpredictable behavior, which prohibits their use in scenarios that cannot tolerate errors such as data loss. The goal of the PhD project is to contribute to an ongoing formalization effort using the Isabelle proof assistant towards the first formally verified system for the analysis of big data.

Who are we looking for?

The ideal candidate for this position is an enthusiastic student with a strong background and interest in one or more of the following areas:

  • formal methods, specifically interactive theorem proving,
  • data stream processing
  • distributed systems

Candidates with a strong theoretical background in related areas are also encouraged to apply.

Our group and research- and what do we offer?
The PhD project will be hosted by the Software, Data, People & Society (SDPS) Section, which performs research in software, process, and data management systems. We focus in particular on methods for the development of trustworthy software systems that closely match the needs of developers, users, and society. More information on the section can be found online: https://di.ku.dk/english/research/sdps/.

The University of Copenhagen was founded in 1479 and is the oldest and largest university in Denmark. It is often ranked as the best university in Scandinavia and consistently as one of the top places in Europe.

Principal supervisor is Associate Professor Dmitriy Traytel, Department of Computer Science, traytel@di.ku.dk.

The PhD programme
A three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree.

Qualifications needed for the regular PhD programme
To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. Computer Science. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.

Terms of employment in the regular programme
Employment as PhD fellow is full time and for maximum 3 years.

Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.

The terms of employment and salary are in accordance to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.

Responsibilities and tasks

  • Carry through an independent research project under supervision
  • Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
  • Participate in active research environments, including a stay at another research institution, preferably abroad
  • Teaching and knowledge dissemination activities
  • Write scientific papers aimed at high-impact conferences and journals
  • Write and defend a PhD thesis on the basis of your project

We are looking for the following qualifications:

  • Professional qualifications relevant to the PhD project
  • Relevant publications
  • Relevant work experience
  • Other relevant professional activities
  • Curious mind-set with a strong interest in Formal Verification and Distributed Systems
  • Good language skills

Application and Assessment Procedure
Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.

Please include:

  1. Cover letter (max. one page), detailing your motivation and background for applying for the specific PhD project.
  2. Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
  3. Original diplomas for Bachelor of Science and Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
  4. MSc thesis or similar document authored by the applicant
  5. Publication list (if available)
  6. Reference letters (if available)

Application deadline: The deadline for applications is March 15, 2024, 23:59 GMT +1.

We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

The further process
After the deadline, a number of applicants will be selected for academic assessment. You are notified, whether you will be passed for assessment.

The assessor will assess the qualifications and experience of the shortlisted applicants with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

Interviews with selected candidates are expected to be held in weeks 14 and 15 (April 2—April 12).

Questions
For specific information about the PhD fellowship, please contact the principal supervisor.

General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/.

The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position. 

 

 

Deadline: 2024-03-15 at 23:59
Unit: Faculty of Science

Read the job description at the university homepage or apply.

PhD scholarship in Self-powered Biocompatible Supercapacitors for Ingestible Devices – DTU Health Tech

In connection with our Novo Nordisk foundation challenge grant ‘Energy Materials for the GUT (EMGUT)’ we are looking for a PhD student to work on the biocompatible supercapacitors for ingestible devices. The supercapacitor will be used to harvest, store, or convert energy for sensing, drug release or gut sampling. One focus point will be fabrication of efficient biocompatible materials and to study their efficacy in supercapacitor applications. We will also investigate if the supercapacitors can be self-powered under the in vivo condition. A range of materials, including nanoparticles, nanofibers and polymeric composites will be tested to provide required energy generation. We offer a highly creative, collaborative, and ambitious work environment. This project will be part of the IDUN section, led by Prof. Anja Boisen at DTU Department of Health Technology. IDUN is a highly cross-disciplinary research section with over 40 members, that focuses on development of micro and nanotechnology-based sensors, detection systems and drug delivery devices.

Responsibilities and qualifications
You will be responsible for designing and fabricating energy materials (e.g. nanoparticles, nanofibers and polymeric composites etc.) that can be applied in supercapacitor systems. We will among others explore how to store the harvested energy and how to release it in vivo. The supercapacitors will be applied in combination with our other activities such as drug delivery, sensing, and gut sampling.  This work will be carried out in close collaboration with your colleagues at DTU Health Tech. You will be engaged in device characterization, ex vivo studies and ultimately maybe in vivo experiments in suitable animal models. You are expected to have a solid background in materials science, chemistry, electrochemistry, and if possible, basic electronics. You should be highly independent, self-motivated and enjoy collaboration in a multidisciplinary academic environment. You should have the ability to drive the project, supervise students and achieve ambitious goals.

The work will be carried out within the framework of IDUN. In IDUN, our motto is ‘bringing science to life’ and we believe in openness, inclusiveness, having ambitions, making a difference and collaboration. 

You will play a role in the sensing and drug delivery part of the research section, interacting with several members working in different disciplines, such as biology, microfabrication, pharmaceutical science and polymer science. The project is highly interdisciplinary, and we expect that you enjoy teamwork and are good at coordinating your work with your colleagues.

You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree.

Approval and Enrolment 
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU’s rules for the PhD education

Assessment
The assessment of the applicants will be made by Prof. Anja Boisen, Assoc. Prof. Fatemeh Ajalloueian and Postdoc Santanu Patra. 

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms 
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years, and the start date expects to be 1 August 2024.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Assoc. Prof. Fatemeh Ajalloueian (faaj@dtu.dk), Prof. Anja Boisen (aboi@dtu.dk) and Postdoc Santanu Patra (sanpa@dtu.dk).

You can read more about DTU Health Tech at www.healthtech.dtu.dk

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.

Application procedure 
Your complete online application must be submitted no later than 19 March 2024 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply now”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • A letter motivating the application (cover letter)
  • Curriculum vitae 
  • Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale

You may apply prior to ob­tai­ning your master’s degree but cannot begin before having received it. 

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Health Tech
DTU Health Tech engages in research, education, and innovation base on technical and natural science for the healthcare sector. The Healthcare sector is a globally expanding market with demands for the most advanced technological solutions. DTU Health Tech creates the foundation for companies to develop new and innovative services and products which benefit people and create value for society. DTU Health Tech’s expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 140 PhD students and a technical/administrative support staff of about 160 persons, of which a large majority contributes to our research infrastructure and related commercial activities.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

Deadline: 2024-03-19 at 23:59
Unit: dtu

Read the job description at the university homepage or apply.

PhD student in Machine Learning with a focus on generative models for nonlinear dynamics

Published: 2024-02-15

Are you interested in working with generative machine learning methods and their use within nonlinear dynamical systems, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for a PhD position at Uppsala University. 

Uppsala University has a long tradition of successful research – among its alumni are 16 Nobel Prize laureates, including, most recently, Svante Pääbo. The University is unique when it comes to combining IT with wider research, from life sciences to the humanities, and this collaboration is currently facilitated by AI4Research and the Centre for Interdisciplinary Mathematics.

The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website.

At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical systems, neuroscience, and safety and security.

The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the University of Cambridge, University of Oxford, Imperial College, University of Sydney, University of Newcastle and Aalto University. We strive for all PhD students to get a solid international experience during their PhD.

The position is a part of the Beijer Laboratory for Artificial Intelligence Research, funded by Kjell and Märta Beijer Foundation. The Beijer Laboratory for Artificial Intelligence Research was established in 2023 at Uppsala University with an ambition to grow activities within the subject of AI, focusing on applications in the life sciences and questions related to societal development.

Project description
This project focuses on developing theory and probabilistic methods for generative modelling of nonlinear dynamical systems. These dynamical models are essential in explaining and understanding the world around us since many phenomena evolve over time. When it comes to modeling nonlinear dynamics, flexible models have the potential to significantly enhance performance over simple ones. Over the past two years we have focused more on generative models in this context, where we foresee an interesting future and the successful candidate will contribute to this. A key topic here is to design deep neural network models with longer memories. 

Duties
The doctoral position involves the development of theory and probabilistic methods for generative modeling of nonlinear dynamic systems. Related to this is the task of deriving algorithms that can be used to learn the unknown model parameters from the measured data. If there is interest we will also look into applications within life science and medicine via our collaborators in cardiology and neuro surgery.

The position is for four years but a maximum of five years, and may include departmental duties at a level of at most 20% (typically teaching).

Requirements
To meet the entry requirements for doctoral studies, you must

  • hold a Master’s (second-cycle) degree in engineering physics, computer science, electrical engineering, applied mathematics, machine learning, or in a similar field, or
  • have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
  • have acquired substantially equivalent knowledge in some other way.

We are looking for candidates with

  • a strong interest in developing new methods and models for generative machine learning, with a focus on nonlinear dynamical systems,
  • good communication skills with sufficient proficiency in oral and written English,
  • excellent study results,
  • good working knowledge in programming (preferably in Python or Matlab),
  • personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving are essential.

Additional qualifications
Experience and courses in one or more subjects are valued: statistical machine learning, optimisation, linear algebra, calculus, deep learning, programming, dynamical systems and control.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

Application
The application must include:
1) a statement (at most 2 pages) of the applicant’s motivation for applying for this position, including a self-assessment on why you would be the right candidate for this position;
2) a CV;
3) degrees and transcript of records with grades (translated to English or Swedish);
4) the Master’s thesis (or a draft thereof, and/or some other self-produced technical or scientific text), publications, and other relevant documents;
5) references with contact information (names, emails and telephone number) and up to two letters of recommendation. 

Applicants who meet at least one of the eligibility requirements are strongly encouraged to apply. All applicants should indicate their earliest possible start date.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 1 September 2024 as agreed. Placement: Uppsala. 

For further information about the position, please contact: Professor Thomas Schön,  thomas.schon@it.uu.se.

Please submit your application by 28 March 2024, UFV-PA 2024/560.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-03-28 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD student in Machine Learning with a focus on scientific computing for applications in cancer research

Published: 2024-02-15

Are you interested in working with scientific computing for applications in cancer research, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for a PhD position at Uppsala University. 

Uppsala University has a long tradition of successful research – among its alumni are 16 Nobel Prize laureates, including, most recently, Svante Pääbo. The University is unique when it comes to combining IT with wider research, from life sciences to the humanities, and this collaboration is currently facilitated by AI4Research and the Centre for Interdisciplinary Mathematics.

The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website.

At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical systems, neuroscience, and safety and security.

The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the University of Cambridge, University of Oxford, Imperial College, University of Sydney, University of Newcastle and Aalto University. We strive for all PhD students to get a solid international experience during their PhD.

The position is a part of the Beijer Laboratory for Artificial Intelligence Research, funded by Kjell and Märta Beijer Foundation. The Beijer Laboratory for Artificial Intelligence Research was established in 2023 at Uppsala University with an ambition to grow activities within the subject of AI, focusing on applications in the life sciences and questions related to societal development.

Project description
Cancer research is becoming increasingly quantitative. Mathematical and computational models are currently used to interpret pre-clinical and clinical cancer data. In this project, the doctoral student will develop mathematical models and computational methods that aim to elucidate and predict cancer dynamics. The doctoral student will combine modelling techniques that are used in classical mathematical biology (e.g., differential equation models) with methods from computational statistics and machine learning (e.g., Monte Carlo methods and neural networks). The doctoral student will join the Artificial Intelligence and Mathematics for Oncology (AIMOn) group, work with cancer data and have the opportunity to collaborate with experts in mathematics, statistics, machine learning, experimental cancer research and clinical cancer research. 

Duties
The position is for a maximum of five years and includes departmental duties at a level of at most 20% (typically teaching).

Requirements
To meet the entry requirements for doctoral studies, you must

  • hold a Master’s (second-cycle) degree in engineering physics, applied mathematics, physics, computer science, machine learning, or in a similar research field, or
  • have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
  • have acquired substantially equivalent knowledge in some other way.

We are looking for candidates with

  • a strong interest in mathematical and computational modelling for life-science applications,
  • good communication skills with sufficient proficiency in oral and written English,
  • excellent study results, 
  • good working knowledge in programming,
  • personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving are essential.

Additional qualifications
Applicants should be scientifically curious team players who would enjoy working in multi-disciplinary research teams. Experience with calculus, linear algebra and programming is required. No bio-medical knowledge is required.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

Application
The application must include:
1) a statement (at most 2 pages) of the applicant’s motivation for applying for this position, including a self-assessment on why you would be the right candidate for this position;
2) a CV;
3) degrees and transcript of records with grades (translated to English or Swedish);
4) the Master’s thesis (or a draft thereof, and/or some other self-produced technical or scientific text), publications, and other relevant documents;
5) references with contact information (names, emails and telephone number) and up to two letters of recommendation. 

Applicants who fulfill at least one of the eligibility requirements are strongly encouraged to apply. All applicants should indicate their earliest possible start date.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 1 September 2024 or as agreed. Placement: Uppsala. 

For further information about the position, please contact: Assistant Professor Sara Hamis, e-mail: sara.hamis@it.uu.se.

Please submit your application by 28 March 2024, UFV-PA 2024/608.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-03-28 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD student in Machine Learning with a focus on Vision-Language Models

Published: 2024-02-15

Are you interested in working with language models and computer vision, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for a PhD position at Uppsala University. 

The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website.

At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical systems, neuroscience, and safety and security.
The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the University of Cambridge, University of Oxford, Imperial College, University of British Columbia, University of Sydney, University of Newcastle and Aalto University. We strive for all PhD students to get a solid international experience during their PhD.

The position is a part of the Beijer Laboratory for Artificial Intelligence Research, funded by Kjell and Märta Beijer Foundation. The Beijer Laboratory for Artificial Intelligence Research was established in 2023 at Uppsala University with an ambition to grow activities within the subject of AI, focusing on applications in the life sciences and questions related to societal development.

Project description
Vision-language models integrate computer vision and natural language processing techniques to process and generate information that combines both visual and textual modalities, enabling a more profound understanding of the content within images and videos. While vision-language models exhibit promising potential, they are currently in early stages of development. Effective integration of both modalities (vision and language), and aligning visual and text embeddings into a cohesive embedding space, continues to pose significant challenges.

In this project, the successful candidate will conduct basic research and methods development towards designing efficient vision-language models, exploring their applications in computer vision and analysing the consequential societal impact. Through our research, we aim to contribute significantly towards learning effective representations combining text, image and video data, potentially benefiting fields including surveillance and healthcare.

Duties
A Ph.D. student is expected to devote their time to graduate education mainly. The rest of the duties may involve teaching at the Department, including also some administration, to at most 20%.

Requirements
To meet the entry requirements for doctoral studies, you must

  • hold a Master’s (second-cycle) degree in computer science, applied mathematics, engineering physics, electrical engineering, machine learning, data science, image analysis, language technology, or in a similar field, or
  • have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
  • have acquired substantially equivalent knowledge in some other way.

We are looking for candidates with

  • a strong interest in machine learning, language modeling, image analysis and computer vision,
  • good communication skills with sufficient proficiency in oral and written English,
  • excellent study results, 
  • good working knowledge in programming (preferably in Python),
  • personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving are essential.

Additional qualifications
Experience and courses in one or more subjects are valued: statistical machine learning, optimisation, linear algebra, deep learning, natural language processing, image analysis and computer vision.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

Application
The application must include: 
1) a statement (at most 2 pages) of the applicant’s motivation for applying for this position, including a self-assessment on why you would be the right candidate for this position; 
2) a CV;
3) degrees and transcript of records with grades (translated to English or Swedish); 
4) the Master’s thesis (or a draft thereof, and/or some other self-produced technical or scientific text), publications, and other relevant documents; 
5) references with contact information (names, emails and telephone number) and up to two letters of recommendation.

Applicants who meet at least one of the entry requirements are strongly encouraged to apply. All applicants should state their earliest possible starting date.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 19 August 2024 or as agreed. Placement: Uppsala. 

For further information about the position, please contact: Assistant Professor Ekta Vats, ekta.vats@it.uu.se; Professor Thomas Schön, thomas.schon@it.uu.se

Please submit your application by 28 March 2024, UFV-PA 2024/605.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-03-28 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.