Kategoriarkiv: Engineering/it

Doctoral student in Computer Science with focus on Robotics

Logo for Lunds universitet

Lund University, Faculty of Engineering, LTH, Department of Computer Science

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has around 44 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs.

We are offering one fully funded PhD position (4 years full-time), starting at the earliest convenience, to a qualified student with interest in Robotics and Autonomous Systems in general, and Human-Robot Interaction and Multi-Agent Systems in particular.

We are looking for students with enthusiasm for working practically, but based on theoretical foundations in AI, with robots, who have good theoretical and mathematical foundations and who want to help lead the way towards the next generation of robots that have the ability to think and learn from humans.

What we offer:

  • A custom-tailored curriculum to prepare you for a career in robotics research for universities and companies
  • A creative, diversified, and collaborative working environment in one of the world’s most innovative and most liveable areas (https://www.lunduniversity.lu.se/about-university/work-lund-university)
  • Opportunities for participating in international research conferences and for connecting with scientists and practitioners around the world
  • Additional funding for equipment and travel
  • Competitive compensation
  • Opportunity to work in a group with strong connections to the WASP (http://wasp-sweden.org/) and its Graduate School, with potentially entailed benefits like access to top-level courses in the areas of machine learning, AI, and autonomous systems

Project description
The position is with Lund University’s Department of Computer Science (http://cs.lth.se/english and http://rss.cs.lth.se), under supervision of Assoc. Prof. / Reader Elin A. Topp within the group for Robotics and Semantic Systems (RSS) and the RobotLab of the Faculty of Engineering. The funding is provided by ELLIIT (ThE Linköping-Lund Initiative on IT and mobile communication, https://old.liu.se/elliit?l=en). According to the preference of the applicant the position may be extended to 5 years and would then include 80% research and 20% teaching or other departmental duties.

The respective PhD project will be part of a collaborative project on distributed situation awareness and mixed-initiative interaction for collaborative robotics with the Dept of Computer Science at Linköping University (group of Prof. Patrick Doherty) in a team of at least two PhD students (one per site) and their supervisors. The project at Lund University will be mainly focusing on mixed-initiative interaction in various settings, and is well connected to other PhD students’ work within RSS and collaborating groups, in particular from the Department of Automatic Control, http://www.control.lth.se (Prof. Anders Robertsson).

Work duties
The main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties may also include up to 20% (of full-time) teaching or other departmental duties, with the position terms being extended respectively to up to five years.

Admission requirements
A person meets the general admission requirements for third-cycle courses and study programmes if the applicant:

  • has been awarded a second-cycle qualification, or
  • has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
  • has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

A person meets the specific admission requirements for Computer Science if the applicant has:

  • at least 60 second-cycle credits at an advanced level with relevance for the research topic, or
  • an MSc in Engineering in Computer Science and Engineering, Electrical Engineering, Information and Communication Technology, Engineering Physics or Engineering Mathematics.

Additional requirements:

  • Very good oral and written proficiency in English.
  • Strong analytical skills
  • Good mathematical skills
  • Good coding skills

(In Sweden, 60 credits correspond to one year of full time studies.)

Assessment criteria
Selection for third-cycle studies is based on the student’s potential to profit from such studies. The assessment of potential is made primarily on the basis of academic results from the first and second cycle. Special attention is paid to the following:

  • Knowledge and skills relevant to the subject description above.
  • An assessment of the ability to work independently and to formulate and tackle research problems.
  • Written and oral communication skills
  • Other experience relevant to the third-cycle studies, e.g. professional experience

Additional merits:

  • Knowledge of (preferred) or willingness to learn C++, Python and Linux
  • Background in one or more of the following: Software Engineering, Machine Learning, AI, Robotics, Human-Robot Interaction, Human-Computer Interaction, Cognitive Science, or Computer Vision
  • Strong interest in working on the above-mentioned topics for four (five) years
  • The ability to work both independently and in small teams

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through his or her experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme.

Terms of employment
Only those admitted to third cycle studies may be appointed to a doctoral studentship. Third cycle studies at LTH consist of full-time studies for 4 years. A doctoral studentship is a fixed-term employment of a maximum of 5 years (including 20% departmental duties). Doctoral studentships are regulated in the Higher Education Ordinance (1993:100), chapter 5, 1-7 §§.

Instructions on how to apply
Applications shall be written in English and include a cover letter stating the reasons why you are interested in the position, and in what way the research area corresponds to your interests and educational background. The cover letter should also describe your experience in coding, mathematics and your experience with robotics, HRI, AI, computer vision, or machine learning. The application must also contain a CV, degree certificate or equivalent, and other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.).

We will start to evaluate applications as soon as they reach us, but all applications submitted by the deadline will be considered.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. We kindly decline all sales and marketing contacts.

To apply, please click the button “Login and apply”

Type of employmentTemporary position longer than 6 months
First day of employmentAs soon as possible according to agreement
SalaryMonthly salary
Number of positions1
Working hours100
CityLund
CountySkåne län
CountrySweden
Reference numberPA2021/2431
ContactElin Anna Topp, Senior Lecturer, elin_anna.topp@cs.lth.se
Union representativeOFR/ST:Fackförbundet ST:s kansli, 046-222 93 62SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64SEKO: Seko Civil, 046-222 93 66
Last application date31.Aug.2021 11:59 PM CEST

Read the job description at the university homepage

Login and apply

Post expires on Tuesday August 31st, 2021

Doctoral students in computer science

Logo for Lunds universitet

Lund University, Faculty of Engineering, Department of Computer Science

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has around 44 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs.

Subject description

The PhD students will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group headed by Jakob Nordström, which is active at both Lund University and the University of Copenhagen.

The MIAO research group has a unique profile in that we are doing cutting-edge research both on the mathematical foundations of efficient computation and on state-of-the-art practical algorithms for real-world problems. This creates a very special environment, where we do not only conduct in-depth research on different theoretical and applied topics, but where different lines of research cross-fertilise each other and unexpected and exciting synergies often arise. Much of the activities of the group revolve around powerful algorithmic paradigms such as, e.g., Boolean satisfiability (SAT) solving, Gröbner basis computations, integer linear programming, and constraint programming. This leads to classical questions in computational complexity theory—though often with new, fascinating twists—but also involves work on devising clever algorithms that can exploit the power of such paradigms in practice.

We currently have one openng for a theoretically oriented PhD student, funded by a Consolidator Grant from the Swedish Research Council, and one more applied opening financed by the Wallenberg AI, Autonomous Systems and Software Program (WASP). There is a lot of flexibility as to what kind of research the PhD students will pursue, though, and all candidates are welcome, both those who want to go deep into either theory or practice and those who are inspired by the challenge of bridging the gap between the two.

On the theory side, most of our work is in proof complexity, which studies formal systems for reasoning about logic formulas and other types of problems. Proof complexity has connections to foundational questions in computational complexity theory, but also plays an important role in algorithm analysis by providing a rigorous understanding of the power and limitations of different algorithmic approaches.

On the practical side, we want to gain a more rigorous scientific understanding, and improve the performance, of modern algorithms for automated reasoning and combinatorial optimization. We are particularly interested in designing algorithms that can exploit sophisticated mathematical techniques to achieve exponential improvements in performance compared to the current state of the art—something that theoretical research suggests should be possible, but that has so far been hard to achieve in practice.

Quite recently, we have also made some breakthrough research on how to verify the correctness of state-of-the-art algorithms for combinatorial optimization. Such algorithms are often highly complex, and even mature commercial solvers are known to sometimes produce wrong results. Our goal is to design a new generation of certifying combinatorial solvers with so-called proof logging, meaning that the solvers output not only a solution but also a machine-verifiable proof that is easy to check and provides 100% formal guarantees that the claimed solution is correct and complete.

Work duties
The main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties can also include  teaching and other departmental duties (no more than 20%),.

Admission requirements
A person meets the general admission requirements for third-cycle courses and study programmes if the applicant:

  • has been awarded a second-cycle qualification, or
  • has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
  • has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

A person meets the specific admission requirements for third cycle studies in computer science if the applicant has:

  • at least 60 second-cycle credits at an advanced level with relevance for the research topic, or
  • an MSc in Engineering in Computer Science, Electrical Engineering, Information and Communication Technology, Engineering Physics or Engineering Mathematics.

Additional requirements:

  • Good oral and written proficiency in English.
  • Strong background and passionate interest in computer science and mathematics.
  • Problem solving skills and creativity.
  • For candidates aiming to do more applied research excellent programming skills are also crucial.

Assessment criteria
Selection for third-cycle studies is based on the student’s potential to profit from such studies. The assessment of potential is made primarily on the basis of academic results from the first and second cycle. Special attention is paid to the following:

Knowledge and skills relevant to the thesis project and the subject of study. An assessment of ability to work independently and to formulate and tackle research problems. Written and oral communication skills Other experience relevant to the third-cycle studies, e.g. professional experience.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through his or her experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme.

Terms of employment
Only those admitted to third cycle studies may be appointed to a doctoral studentship. Third cycle studies at LTH consist of full-time studies for 4 years. A doctoral studentship is a fixed-term employment of a maximum of 5 years (including 20% departmental duties). Doctoral studentships are regulated in the Higher Education Ordinance (1993:100), chapter 5, 1-7 §§.

We intend to employ 1-2 doctoral students.

Instructions on how to apply
Applications shall be written in English and shall include the following documents:

  1. Curriculum vitae.
  2. Brief statement as to why the applicant wishes to conduct doctoral studies, including a description of the applicant’s qualifications and interests.
  3. Diploma and transcripts of records (BSc and MSc).
  4. If applicable, copies of the applicant’s MSc thesis (or possibly BSc thesis) and any research publications.
  5. Names and addresses for three references who might be contacted for reference letters later in the recruitment process.

Please observe that all the documents above should be in English (or for official documents possibly in Swedish).

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. We kindly decline all sales and marketing contacts.

To apply, please click the button “Login and apply”

Type of employmentTemporary position longer than 6 months
First day of employment2021-09-01
SalaryMonthly salary
Number of positions1
Working hours100%
CityLund
CountySkåne län
CountrySweden
Reference numberPA2021/2526
ContactJakob Nordström, jakob.nordstrom@cs.lth.se
Last application date13.Sep.2021 11:59 PM CEST

Read the job description at the university homepage

Login and apply now

Post expires on Monday September 13th, 2021

PhD Research Fellow in digitalisation of the public sector

About the position

The University of Agder, Faculty of Social Sciences, Department of Information Systems, invites applications for one full-time PhD Research Fellow in Information Systems for a period of three years, alternatively four years with 25% of the time assigned to tasks at the Faculty’s discretion. The position is located in Kristiansand, Norway.

This position is linked to the AI4Users project which is funded by the Research Council of Norway (see more information below), focusing on the responsible use of Artificial Intelligence in the public sector. The project is led by the University of Agder in partnership with the University of Oslo and the Norwegian University of Science and Technology.  

The Department of Information Systems provides teaching and research at the intersection of technology, organisation and business administration. With around 45 employees (Professors, Associate Professors, Post-docs, Research Fellows and administrative staff), the department is one of the largest information systems research groups in Norway and highly regarded in the AIS community. The Department activities include work related to eHealth, Integrated Emergency Management and Digital Transformation. The candidate will be involved with activities in the Centre for Digital Transformation (CeDiT).

Responsibilities

The candidate will participate in the research team of the AI4Users project together with other researchers from the University of Agder, the University of Oslo and the Norwegian University of Science and Technology. The project’s full title is: “AI4Users: Responsible Use of Artificial Intelligence through Design for Accountability and Intelligibility”. The AI4Users project addresses the “black box” problem and aims at contributing to the responsible use of AI in public sector services. The project takes a human-centred perspective addressing the needs of different groups, including citizens, case handlers at the operational level, middle managers and policymakers. Specifically, the project includes a) design, prototyping and assessing tools enabling different categories of non-experts to maintain insight into AI applications, b) formalisation of design knowledge generated in actionable design principles, c) empirical studies into the needs and challenges of responsible AI specific to the public sector and capacity building through collaborations between academia and the public sector nationally and internationally. The methodological approach employed is Action Design Research (ADR). ADR specifies an iterative and adaptive research process closely linked to practice. Researchers will perform observations and interviews with individuals from the different target groups to gain insights into their needs and experiences. The University of Agder team focuses particularly on the needs of Case Handlers. The aim is to perform research on tools that enable case handlers without a technical background to understand, appropriately trust, and effectively handle AI solutions. The other two partners in the project focus on the needs of citizens (Norwegian University of Science and Technology) and managers and policymakers (University of Oslo).

We are looking for a highly motivated candidate who takes an interest in developing research on responsible AI from an Information Systems perspective. We ask applicants to provide a proposal aligned with AI4Users´ overall scope and design. More information about the project is available upon request. Interested candidates are encouraged to check also the project´s website. 

Required qualifications

Further provisions relating to the position as PhD Research Fellow can be found in the Regulations Concerning Terms and Conditions of Employment for the post of Post-Doctoral Research Fellow, Research Fellow, Research Assistant and Resident.

The applicants must qualify for admission to the faculty PhD Programme in the Faculty of Social Sciences, with a specialisation within Information Systems, and must hold a master’s degree or equivalent in a relevant area of study, with an average grade of B or better. Applicants who are in the process of finishing their master’s thesis are also welcome to apply for this position.

Specific qualifications for the project are the following: the ability to apply design research approaches, knowledge and experience on user-centred design methods and prototyping techniques.

Applicants must submit a proposal whose scope lies within the scope of the abovementioned project. The proposal should comprise a maximum of ten pages in length, including the reference list. The proposal must contain a preliminary presentation of the problem area, theoretical foundation, methodological approach and planned progression for the doctoral project. The quality of the project proposal will receive a high level of consideration during the application assessment process. Fluency in written and oral English is a prerequisite.

The University, on its side, is committed to securing good supervision for successful applicants.

Desired qualifications

  • Knowledge and experience in Data Science and Machine Learning techniques is an advantage
  • Knowledge of Norwegian or another Scandinavian language is an advantage

Personal qualities

The appointee must have the ability to work in a goal-oriented, organised, focused and independent manner. During the assessment process, emphasis will be placed on the applicant’s examination results as well as any previous research and development work. UiA has signed the DORADeclaration. Relevant practical experience, personal suitability for the position and good teamwork skills will also be emphasised.

Fakultet for samfunnsvitenskap

We offer

  • Professional development in a large, exciting and socially influential organisation
  • A positive, inclusive and diverse working environment
  • Modern facilities and a comprehensive set of welfare offers 
  • Membership of the Norwegian Public Service Pension Fund

More about working at UiA. 

The position is remunerated according to the State Salary Scale, salary plan 17.515, code 1017 PhD Research Fellow, NOK 491.200 gross salary per year. A compulsory pension contribution to the Norwegian Public Service Pension Fund is deducted from the pay according to current statutory provisions.

General information

UiA is an open and inclusive university. We believe that diversity enriches the workplace and makes us better. We, therefore, encourage qualified candidates to apply for the position independent of gender, age, cultural background, disability or an incomplete CV.

The successful applicant will have rights and obligations in accordance with the current regulations for the position, and organisational changes and changes in the duties and responsibilities of the position must be expected. The appointment is made by the University of Agder’s Appointments Committee for Teaching and Research Positions.

Short-listed applicants will be invited for interviews. With the applicant’s permission, UiA will also conduct a reference check before appointment. Read more about the employment process

In accordance with the Freedom of Information Act § 25 (2), applicants may request that they are not identified in the open list of applicants. The University, however, reserves the right to publish the names of applicants. Applicants will be advised of the University’s intention to exercise this right.

Application

The application and any necessary information about education and experience (including diplomas and certificates) are to be sent electronically. Use the link “Apply for the position”.

The following documentation must be uploaded electronically:

  • Certificates with grades
  • Master’s thesis
  • References
  • Academic work and R&D projects, as well as a list of these
  • Project description with a maximum scope of 10 pages, including the reference list.

The applicant is fully responsible for submitting complete digital documentation before the closing date.  All documentation must be available in a Scandinavian language or English.

Application deadline: 30 September 2021.

Contact

For questions about the position:

  • Professor Polyxeni Vassilakopoulou, Dept of Information Systems, e-mail polyxenv@uia.no
  • Professor Bjørn Erik Munkvold, Head of the PhD specialisation in information systems, e-mail bjorn.e.munkvold@uia.no  

For questions about the application process:

Campus Kristiansand

University of Agder

The University of Agder has more than 1400 employees and 13 000 students. This makes us one of the largest workplaces in Southern Norway. Our staff research, teach and disseminate knowledge from a variety of academic fields. Co-creation of knowledge is our common vision. We offer a broad range of study programmes in many fields. We are situated at two modern campuses in Kristiansand and Grimstad respectively.

We are an open and inclusive university marked by a culture of cooperation. The aim of the university is to further develop education and research at a high international level.

Read the job description at the university homepage

Apply for this job

Deadline

30th September 2021

Post expires on Thursday September 30th, 2021

PhD student position in Computer Science within CUGS Research School Linkoping

https://liu.se/en/work-at-liu/vacancies?rmihelper=true&height=1815

Ref IDA-2021-00192

Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

The Department of Computer and Information Science was founded in 1983 but its roots go back to the early 1970s. It is one of the largest computer science departments in northern Europe.

Our research covers a broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming.
Read more at https://liu.se/en/organisation/liu/ida

LINKÖPING UNIVERSITY
Hereby advertises up to one (1) position as
PhD student in Computer Sciencewithin CUGS Research School
formally based at the Department of Computer and Information Science

CUGS research School:
The scientific scope of CUGS includes central parts of the core computer science (Swe. Datalogi) and computer engineering (Swe. datorsystem). In this regard, CUGS puts an emphasis on programming languages, algorithms, software engineering, also including related areas of autonomous systems, real-time systems, embedded systems, knowledge-based systems and artificial intelligence.

Your work assignments
As a PhD student you will primarily devote yourself to your research. A PhD student is limited to work with education and administration up to 20 percent of full time.

Project description for announced position:

Multi-Domain DSL Design and Compilation for Heterogeneous Parallel Systems

Your qualifications
Qualified to PhD studentships are only those who are or have been admitted to graduate studies.

The general eligibility requirement for admission to third-cycle studies is a completed Master’s degree, or completion of course requirements of at least 240 ECTS – including at least 60 ECTS-credits at an advanced level in the field of computer science; alternatively, demonstrated knowledge that is essentially equivalent.

In addition, CUGS requires:
– a solid knowledge of English, both in spoken and written form as well as understanding
– experience in independent project work as well as ability to work in a team

Earlier research experience, e.g. as part of Masters’ studies, will be considered as a merit.

Terms of employment
When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available here.

The employment has a duration of four years’ full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances.

Starting date 
By agreement

Salary
The salary for PhD students is based on the department’s salary scale.

Union representatives
Information about union representatives, see Help for applicants.

Application procedure
Apply for the position by clicking the “Apply” button below. Your application must be received at latest August 17, 2021.

Applications and documents received after the date above will not be considered.

Equal opportunities
A majority of our PhD students within the Department of Computer and Information Scienceare are men, which is why precedence will be given to women in cases where qualifications are deemed otherwise equivalent.

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

We look forward to receiving your application!


Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as from vendors of job advertisements.

Contact persons

Christoph Kessler (for questions regarding the project)

Professor

christoph.kessler@liu.se

Nahid Shahmehri

Professor

nahid.shahmehri@liu.se

Anne Moe

Coordinator

anne.moe@liu.se

Sandra Malmström

HR-administratör

sandra.malmstrom@liu.se

Read the job description at the university homepage

Apply

Post expires on Tuesday August 17th, 2021

PhD student in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics Norrkoping

https://liu.se/en/work-at-liu/vacancies?rmihelper=true&height=2253

Ref LiU-2021-02831

Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

At the Department of Science and Technology, at the university’s Norrköping campus, we provide education and conduct research in physics and electronics, communications/logistics and media- and information technology. The department is recognised for its work in fields including logistics, visualisation and organic electronics. We combine academic excellence with fruitful collaboration with the Community.
Read more at https://liu.se/en/organisation/liu/itn

We are looking for a PhD student in Visualization and Media Technology with a focus on Information Visualization/Visual Analytics

Your work assignments
As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.

The focus of this advertised PhD position and the corresponding research project will be on the web-based visualization of large and complex, multivariate networks and/or text data. Related aspects, such as network embeddings, visual analysis of multilayer networks, or explainable AI for network/text analyses, might also be studied. The PhD student will develop foundational visualization principles, techniques and visual analytics tools for analyzing heterogeneous network/text data coming from various data sources, such as social media data or data sets from specific application domains. The work will even include the development and provisioning of a suitable backend infrastructure to serve the web-based, interactive visual display with the needed original and derived data streams, and/or user data collected during the analytical process (for instance, to provide collaboration features and/or adaptivity).

Duties consist mainly of the following:
•  Graduate studies in the field of information visualization/visual analytics, with a doctoral degree as the goal. The PhD
    thesis should be completed and defended within the official appointment duration of five years (4 years graduate studies,
    1 year departmental tasks).
• Research in the field information visualization/visual analytics.
• Regularly present intermediate research results at international conferences and workshops, and publish them in
   conference proceedings and journals.
• Close collaboration with the other group members in an interdisciplinary research environment as well as with domain
    experts.
• At most 20% of the total working time will be dedicated to teaching and other administrative departmental tasks

Your workplace
The advertised position will be placed in the iVis group (http://bit.ly/ivis-liu) led by Professor Andreas Kerren. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in the life sciences, humanities, or environmental sciences. Our research vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.

Your qualifications
You have graduated at Master’s level in the area of computer science, media technology, computer engineering, information technology or closely related topic or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way.

The work of a PhD student is driven by engagement, curiosity, creativity, problem solving, the ability to work independently, but also the ability and willingness to collaborate with fellow colleagues from different backgrounds. Required qualifications are:
• A Master’s degree in the area of computer science, media technology, computer engineering, information technology or
  closely related topic from a recognized university.
• A successfully finished Master’s thesis performed in a field related to Information Visualization, Visual Analytics, Human- 
   Computer Interaction, or Data Science.
• Excellent English communication skills, both verbal and written.

Excellent knowledge in the focused research area of visualization and visual analytics of networks and/or text is a strong advantage. Good programming skills (Java, JavaScript / HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, or machine learning are highly preferred. Knowledge and experience in one or more of the following areas would be advantageous: information visualization, visual analytics, human-computer interaction, data mining, machine learning.

Terms of employment
When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at.

The employment has a duration of four years’ full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances.

Starting date
By agreement.

Salary and employment benefits
The salary of doctoral students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

Union representatives
Information about union representatives, see Help for applicants.

Application procedure
Apply for the position by clicking the “Apply” button below. Your application must be received at latest August 20, 2021.

Applications and documents received after the date above will not be considered.
Applications should include:
–  A cover letter motivating why you are interested in the position, what your research interests are, why you want to
   pursue a PhD in visualization, and how you envision that your background will contribute to the research goals and iVis
   group.
– A short description of prior experience in visualization or visual analytics (if existing).
– A CV including contact details, the dates of the earlier degrees and universities at which they were obtained, a list of peer-
  reviewed publications (if any), and contact details of at least two reference persons.
– Certificates of degrees and undergraduate transcripts records with grades.
– A copy of the Master thesis or link to the published version.

Equal opportunities
A majority of our PhD students within the Deaprtmemnt are men, which is why precedence will be given to women in cases where qualifications are deemed otherwise equivalent.

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

We look forward to receiving your application!


Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as from vendors of job advertisements.

Contact persons

Andreas Kerren

Professor of Information Visualization and Chair of the iVis

+46 11 36 34 06

andreas.kerren@liu.se

Martina Klefbeck

HR partner

011-363166

martina.klefbeck@liu.se

Read the job description at the university homepage

Apply

Post expires on Friday August 20th, 2021

PhD student in Fluid and Mechatronic Systems Linkoping

https://liu.se/en/work-at-liu/vacancies?rmihelper=true&height=1695

Ref IEI-2021-00241

Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

The Department of Management and Engineering (IEI) strengthens and develops tomorrow’s industry, business world and society by ground-breaking research, education and innovation. Our teaching and research cover a broad spectrum of fields from economics and management to technology and design. We are a department that sees innovation, development and innovation as fundamentally necessary to strengthen a sustainable society. Collaboration and dialogue permeate our operations, making positive and productive relationships with companies and other organisations possible. This in turn helps to make our students highly sought-after, and ensures that research can be used to increase competitiveness and sustainability.
Read more here: https://liu.se/en/organisation/liu/iei

We are looking for a PhD student in Fluid and Mechatronic Systems

Your work assignments
The work will focus on utilizing the possibilities for hydraulic components and systems that an electric drive unit creates for mobile machines. Within the project, a PhD student will be employed with a focus on integration and control of the electric motor and pump unit, a so-called E-pump. The research will improve efficiency and controllability of mobile machines. The research for the doctoral position includes both theoretical and experimental studies in hydraulics, electronics, mechanical engineering, and control.

As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.

Your workplace
The doctoral position is in the subject of mechanical engineering with a focus on fluid and mechatronic systems. You will belong to the Division of Fluid and Mechatronic Systems, which belongs to the Faculty of Technology. The division conducts research and teaching in mechatronics, fluid power, simulation, and aviation technology. In fluid power and mechatronics, we work primarily with developing methods to reduce energy losses in technical systems containing hydraulics and to develop new smart and energy-efficient hydraulic systems and components. An important part of the research consists of developing methods and simulation techniques to achieve better solutions and to verify and validate results through physical tests.

We offer courses in fluid power and aircraft design at both undergraduate and advanced level, mainly in the master’s program in Mechanical Engineering (300 credits), the master’s program Mechanical Engineering (120 credits) and Aeronautical Engineering (120 credits).

Your qualifications
Applicants have a completed master’s degree in Mechanical Engineering or Electrical Engineering or equivalents. It is an advantage if you have completed advanced courses in hydraulics, control, and electrical engineering or in some other way acquired equivalent knowledge.

Qualified to PhD studentships are only those who are or have been admitted to graduate studies.

Terms of employment
When taking up the post, you will be admitted to the program for doctoral studies.

The employment has a duration of four years’ full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances.

Starting date
As soon as possible.

Salary and employment benefits
The salary of doctoral students is determined according to a locally negotiated salary progression.

More information about employment benefits at Linköping University is available here.

Union representatives
Information about union representatives, see Help for applicants.

Application procedure
Apply for the position by clicking the “Apply” button below. Your application must be received at latest August 31, 2021.

Applications and documents received after the date above will not be considered.

Equal opportunitiesA majority of our PhD students within the Division of Fluid and Mechatronic Systems are men, which is why precedence will be given to women in cases where qualifications are deemed otherwise equivalent.

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

We look forward to receiving your application!


Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as from vendors of job advertisements.

Contact persons

Liselott Ericson

Senior Lecturer

+46 13 281198

liselott.ericson@liu.se

Elin Bergfeldt

HR-partner

+46 13 284403

elin.bergfeldt@liu.se

Read the job description at the university homepage

Apply

Post expires on Tuesday August 31st, 2021

Postdoctoral Research Fellow in Digital Transformation / Tutkijatohtori, digitalisaatio

Takaisin työpaikkalistaukseen Haluatko päivittää hakemustasi? Kirjaudu sisään.


Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational, and high-impact research and education. Our universities community has its competitive edges in technology, health, and society. www.tuni.fi/en
 

We are inviting applications for the postdoctoral position in Unit of Information and Knowledge Management. The Unit employs six professors and over 30 professionals working on research and teaching in the field.  We study and develop tools, processes, techniques, and practices for gathering, analyzing, refining and using knowledge throughout an organization, and to more broadly, throughout the society in order to improve different operations.  We are committed to research that delivers practical benefits, and to generating new knowledge, solutions and expertise that support informed decision-making across society. With the digital transformation reshaping our society, information and knowledge management serves as a bridge between different disciplines to address the grand challenges facing our society.  

Job description  

We are seeking a highly motivated academic to conduct high-quality scientific research, to contribute to societal impact and to international collaboration, to give research-based teaching, to contribute student supervision and different research projects and to the overall development of the discipline. In particular, the duties include teaching three courses per year – each course running about two months – and supervising bachelor and master students on a broad range of topics touching digital transformation and information systems discipline. The courses are about digital transformation and its management, IT-business alignment, and introduction to research methods.

Requirements

  • an applicable doctoral degree 
  • a track record of independent scholarly activity on digital transformation, IS management, IT-business alignment, or related topics. 
  • teaching skills required to successfully perform the duties and functions of the position  
  • a track record of international scholarly activity

We appreciate a track record of research with an international impact, previous experience in teaching and student supervision on the topics mentioned above, and a strong commitment to high quality teaching. Teaching language could be either Finnish or English, working language is English.  

The selection process will involve interviews and a demonstration of teaching skills.

 We offer 

The appointment as Postdoctoral Research Fellow is made for two years, for example through 1.10.2021-30.9.2023. Starting day is however negotiable. A trial period of six months applies to all our new employees.

Salaries are based on the job demands and employees’ personal performance in accordance with the Finnish University Salary System. 

Please read more about working at Tampere University.

 How to apply 

Please submit your application through our online recruitment system (link below). The closing date for applications is 20th August 2021 (at 15:59 EET /UTC +2). 

Please write your application and all accompanying documents in English and attach them in PDF format. Applications should include the following documents: 

  1. Curriculum Vitae according to TENK guidelines
  2. List of publications according to Academy of Finland guidelines. (Please indicate your ten most important publications and add hyperlinks to these publications). If the publications indicated are not found by link, please attach them to application as a separate PDF file. 
  3. A research plan (max. 5 pages) outlining your proposed research. 
  4. Teaching portfolio according to Tampere University guidelines
  5. A letter of motivation (max. 2 pages)
  6. Letters of three recommendations. 

For more information about the position, please contact:

Professor Samuli Pekkola, samuli.pekkola@tuni.fi

With questions about the application process, please contactHR partner Salla Jortikka, salla.jortikka@tuni.fi
 
 *****

 Tampereen yliopisto ja Tampereen ammattikorkeakoulu muodostavat yhdessä Suomen toiseksi suurimman monitieteisen, innostavan ja vaikuttavan tutkimus- ja oppimisyhteisön. Korkeakouluyhteisömme osaamiskärjet ovat tekniikka, terveys ja yhteiskunta. Lue lisää: www.tuni.fi

Tietojohtamisen yksikössä on tarjolla kahden vuoden tutkijatohtorin tehtävä tietojärjestelmien johtamisen alueella. Tutkijatohtorin odotetaan tekevän korkeatasoista tutkimusta ja opettavan sekä syventäviä opintojaksoja digitalisaation johtamisen eri osa-alueilta että tutkimusmenetelmien perusteista. Lisäksi tutkijatohtorin odotetaan osallistuvan yksikön tutkimushankkeisiin, yhteiskunnalliseen vuorovaikutukseen ja tiedeyhteisön toimintaan.  

Hakuohjeet

Lue tarkemmat tiedot tehtävästä ja hakuohjeet yllä olevasta englanninkielisestä ilmoituksesta.

Hakuaika tehtävään päättyy 20.8.2021, klo 23:59. Jätäthän hakemuksesi yliopiston sähköisellä hakulomakkeella (linkki löytyy tämän ilmoituksen alta).  

Lisätietoja

Professori Samuli Pekkola, samuli.pekkola@tuni.fi
 Rekrytointiprosessiin liittyviin kysymyksiin vastaa HR partner Salla Jortikka, salla.jortikka@tuni.fi

Hakuaika alkaa: 02.07.2021 09:00

Hakuaika päättyy: 20.08.2021 23:59Jätä hakemus

Read the job description at the university homepage

Post expires on Friday August 20th, 2021

Postdoc in Information Systems with an orientation towards digital services, automatization, and artificial intelligence within public service Linkoping

https://liu.se/en/work-at-liu/vacancies?rmihelper=true&height=1929

Ref IEI-2021-00316

Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

The Department of Management and Engineering (IEI) strengthens and develops tomorrow’s industry, business world and society by ground-breaking research, education and innovation. Our teaching and research cover a broad spectrum of fields from economics and management to technology and design. We are a department that sees innovation, development and innovation as fundamentally necessary to strengthen a sustainable society. Collaboration and dialogue permeate our operations, making positive and productive relationships with companies and other organisations possible. This in turn helps to make our students highly sought-after, and ensures that research can be used to increase competitiveness and sustainability.
Read more here: https://liu.se/en/organisation/liu/iei

LINKÖPING UNIVERSITY
Hereby advertises one or two positions as
Postdoc in Information Systems with an orientation towards digital services, automatization, and artificial intelligence within public service
The position is formally based at the Department of Management and Engineering.

At the division of Information Systems and Digitalization (INDIG) we provide two attractive undergraduate programs, a Bachelor´s programme in Information Systems Analysis (180 credits) and a Master Programme in IT and Management (120 credits). We also provide graduate studies and highly regarded research within Information Systems and Digitalization. We contribute to knowledge of how IT systems are developed and used by people in organizations and in society. The interaction between humans, IT systems and organization – within private companies as well as the public sector – are therefore of great importance. This implicates that we focus especially on analysis, design, change and management of businesses where IT systems are or are expected to be included.

At our division we offer excellent possibilities for well-established theoretical and practice-oriented research, teaching and pedagogic research and development. Research of digitalization in the public sector (E-government) has been a cornerstone in our division for more than 15 years. We conduct several research projects within this area, such as IT, services, and business development within the public sector, as well projects on a society level, for example the development of smart cities and the role digitalization has in similar contexts. For instance, different development initiatives are studied from a policy and strategy level, through implementation, to practice.

We offer a creative and open work-environment, characterized by responsibility, creativity, and authority. The applicant needs to be willing to work in a creative and changeable environment and to actively engage both in the progress of the division and in collaboration with the surrounding community. This also includes to contribute to strengthen the interdisciplinary collaboration, both within our department and with other departments.

Duties
A Postdoc will essentially carry out research. The position may also involve teaching, but no more than 30 percent of work time.

The primary focus of the Postdoc position is research within digitalization in and of the public sector with a focus on digital services, automatization, and artificial intelligence. The duties involve perform conceptual, and theory driven work with a variation of research methods, in the collaboration with colleagues. To discuss, present and publish science within the field of digital services is a primary duty and therefore documented experience of the same is required. Having conducted research within the field of automatization in the public sector is considered as especially meriting.

The applicant is expected to present documented skills within digital services as a research field. Another requirement is a documented skill within qualitative, interpretive approaches and methods in terms of interviews and observations in which large amounts of unstructured data is handled and analyzed. Furthermore, documented research skill regarding combinations of qualitative and quantitative research approaches and methods is especially meriting.

Above conducting research, the position involves teaching, supervision, and examination in the courses and areas that the division provides within our Bachelor and master’s programme.

Pedagogical skill in disciplinaries that are relevant for the field of Information Systems is considered a merit. The teaching duties will be carried out in Swedish or English. Therefore, documented skill of teaching in Swedish or English is a requirement for the position.

Qualifications
The position requires a doctorate or an equivalent degree from a foreign university. The doctoral degree must have been obtained no longer than three years before the expiration date of the application.

Form of employment
A Postdoc may be employed until further notice, but for no longer than two years. The appointment can be renewed if there are special reasons for this.

Starting date 
Preliminary 2021-11-01, or by agreement.

SalaryThe University applies individual salary scales adapted to the experience of the employee and to the labour market.

Union representatives
Information about union representatives, see Help for applicants.

Application procedureApply for the position by clicking the “Apply” button below. Your application must be received at latest September 30, 2021. Applications and documents received after the date above will not be considered.

Equal opportunities
For this position there is an equal gender balance.

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

We look forward to receiving your application!


Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as from vendors of job advertisements.

Contact persons

Johanna Sefyrin

Universitetslektor/avdelningschef

+46 13 281965

johanna.sefyrin@liu.se

Ulf Melin

Professor

+46 13 284437

ulf.melin@liu.se

Elin Bergfeldt

HR-partner

+46 13 284403

elin.bergfeldt@liu.se

Read the job description at the university homepage

Apply

Post expires on Thursday September 30th, 2021

PhD candidate in Safety Demonstration of Autonomously Controlled Ships using Digital Twin

This is NTNU

NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 9,000 employees and 42,000 students work to create knowledge for a better world.

You will find more information about working at NTNU and the application process here.

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About the position

We have a vacant 3-year PhD position at the department of Engineering Cybernetics at NTNU in the new 8-year research-based innovationCentre  SFI AutoShip. The objective of the position is to provide new insight into to how digital twins can be utilized to demonstrate safety built into autonomous systems. SFI AutoShip consists of 22 industry, research, and university partners and are in total employing around 20 PhD positions and 5 Postdoc positions over the period. Being part of SFI AutoShip means close contact to industry and involvement in Centre workshops and activities. 

The main scientific supervisor for the PhD position is Professor Mary Ann Lundteigen and the candidate will also receive co-supervision and have collaborations with one or more of the SFI AutoShip partners. In addition, the position is part of the academic environment at the Department of Engineering Cybernetics.

You will report to the Head of Department.

Why apply for a PhD position?

A PhD position is a researcher education where you learn how to approach and solve complex tasks. Compared to a master education, you will be able to investigate deeply into some specific, challenging and currently unsolved research questions, and work systematically to try to answer them during a period of 3 years. New skills are acquired by attending PhD courses and seminars, and you have allocated funding to attend conferences and make short visits to meet other researchers in your area. At the end of the 3-year period you will be able to present and defend your work for which you are awarded a PhD degree. As part of SFI AutoShip, you will not work in isolation, but be part of a larger team where you acquire relevant work experience. With the PhD degree you are attractive both for the industry, for research institutes and a life in academia. Perhaps one of the SFI partners will be your future employer.

Duties of the position

The main objective of the research of the PhD position is to develop a digital twin that can be used for safety demonstration of autonomous control systems. The main application area is ships, including its infrastructures.

A digital twin can be regarded as a virtual representation of a ship, its behavior, and interaction the environment including human-machine interfaces. Digital twins in the form of dynamic simulators have been available for years, but the focus has been on automatic rather than autonomous systems. Operating a ship autonomously will place new requirements on safety functions built into the control system, in order to detect and respond to unexpected events and abnormal situations. These functions must also have the necessary diagnostics capabilities to reveal and manage internal faults. A digital twin for safety demonstration must therefore constitute models and interfaces that are needed to test these functions. A first step of the research is to develop specific requirements for the utilization of digital twin for this purpose, while a second step is develop and demonstrate a digital twin prototype that can be tested with practical use cases suggested by the industry partners. 

SFI AutoShip wants to recruit more female candidates to PhD positions in SFI AutoShip, to improve the gender balance in the maritime sector. Women are needed at all levels in organizations and their contribution to more diversified teams is essential to reach better decisions about technology development, deployment, and leadership. We therefore encourage female candidates to apply for this position. 

Required selection criteria

  • MSc in control engineering or equivalent education
  • Your education must correspond to a five-year Norwegian degree programme, where 120 credits are obtained at master’s level 
  • You must have a strong academic background from your previous studies and an average grade from the master’s degree program, or equivalent education, which is equal to B or better compared with NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education. 
  • You must meet the requirements for admission to the faculty’s doctoral program.

The PhD-position’s main objective is to qualify for work in research positions, either in research institutes, universities or in industry. The qualification requirement is completion of a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in in control engineering (cybernetics) or equivalent education with a grade of B or better in terms of NTNU’s grading scale. Applicants with no letter grades from previous studies must have an equally good 
academic foundation. Applicants who are unable to meet these criteria may be considered only if they can document that they are particularly suitable candidates for education leading to a PhD degree.

Other required selection criterias:

  • Programming skills (Phyton, MATLAB, C++, or equivalent)
  • Some knowledge and/or experience with digital twins and their application
  • Modeling and simulation skills
  • Some knowledge and/or experience with digital twins and their application
  • Excellent English skills (written and oral)
  • Excellent collaborate skills

Preferred selection criteria

  • Knowledge and/or interests in the domains of safety and risk
  • Knowledge and/or interest in the maritime sector
  • Interest and/or knowledge in machine learning/artificial intelligence
  • Mastering of a Scandinavian language

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience, personal suitability, and motivation, as documented according to the requirements for the application.  

The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosodophiae Doctor (PhD) in artistic research national guidelines for appointment as PhD, post doctor and research assistant  

The PhD candidates who, based on a comprehensive first-hand assessment, might come into conflict with legislation governing exports of knowledge, technology and services will not advance further from the first stage in the recruitment process. For further information, please refer to the Export Control Act.

Personal characteristics

The candidate is expected to:

  • Be scientifically curious and open to new research challenges
  • Demonstrate independence and persistence in addressing technical problems
  • Be flexible and reliable, with ability to work effectively independently and as part of a team
  • Have excellent collaborative skills

We offer

Salary and conditions

PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 491 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 3 years.

Appointment to a PhD position requires that you are admitted to the PhD programme in engineering cybernetics within three months of employment, and that you participate in an organized PhD programme during the employment period.

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.

The position is subject to external funding.

It is a prerequisite you can be present at and accessible to the institution daily.

About the application

You must ensure that your application shows clearly how your skills and experience meet the criteria which are set out above. Please note that applications are only evaluated based on the information available on the application deadline.

The application must include:

  • A short and directed application letter that (in English or Norwegian) identifies:
    • Your motivation for a PhD study
    • Your understanding and reflections about the topic(s) of the position
    • How you meet the required and preferred selection criteria
    • Your preferred direction and focus, based on your interests and background.
  • CV including contact details, education, work experience, and (if any) publications.
  • Contact information for at least two reference persons
  • Certified copies of academic diplomas and transcripts (in English or Norwegian)
  • Link that gives access to, or a copy of, your master thesis (if published/submitted)
  • Copy of other selected academic work (such as publications, if any) that you find to be relevant for the application. 

If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor’s and master’s education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.

Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates. 

Incomplete applications will not be considered.

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment – DORA.

General information

Working at NTNU

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. 

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.

As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.

In accordance with The Public Information Act (Offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants.

If you have any questions about the position, please contact Professor Mary-Ann Lundteigen, email mary.a.lundteigen@ntnu.no

Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applications submitted elsewhere will not be considered. Diploma Supplement is required to attach for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI).

If you are invited for interview you must include certified copies of transcripts and reference letters. Please refer to the application number 2021/35245 when applying.

Application deadline: 22.08.2021

Hovedbygningen

NTNU – knowledge for a better world

NTNU – knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Engineering Cybernetics (ITK)

Engineering cybernetics is the study of automatic control and monitoring of dynamic systems. We develop the technologies of tomorrow through close cooperation with industry and academia, both in Norway and internationally. The Department contributes to the digitalization, automation and robotization of society. The Department of Engineering Cybernetics is one of seven departments in the Faculty of Information Technology and Electrical Engineering.

Read the job description at the university homepage

Apply for this job

Deadline

22nd August 2021

Post expires on Sunday August 22nd, 2021

Researcher position in Computational methods for immiscible two-phase flow in porous media

Researcher position in Computational methods for immiscible two-phase flow in porous media

Job description

Position as researcher (Position code (SKO) 1109) in Porous Media Physics is available at PoreLab – Center of Excellence – at the Department of Physics. The position is for a period of three years, with starting date as soon as possible.

More about the position

The position will be focused on the use of computational methods for immiscible two-phase flow in porous media. PoreLab has over two decades developed a dynamic network simulator that needs to be maintained and developed further in close collaboration with the existing experimental and theoretical groups both at PoreLab Oslo and PoreLab Trondheim.

The position is an excellent possibility to qualify for a tenured academic position. It is expected that the candidate actively pursues possibilities for new projects within the field, by participating/submitting applications to the EU, the Research Council of Norway and industry. The candidate will take part in supervision of students, and outreach activity connected to PoreLab.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Applicants must hold a degree equivalent to a Norwegian doctoral degree in computational or theoretical physics with a specialization in statistical physics. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defence are eligible for appointment.
  • Good and documented knowledge of programming languages such as Fortran and/or C/C++.
  • Experience in developing code.
  • Experience in the field of porous media.
  • Fluent oral and written communication skills in English.

We offer

  • Salary NOK minimum 534 400 – 604 700 per annum depending on qualifications in position as Researcher (position code 1109)
  • Attractive welfare benefits and a generous pension agreement.
  • Professionally stimulating working environment
  • Vibrant international academic environment
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter including a description of scientific interests, and the motivation for applying for the position
  • CV (summarizing education, positions, academic work, and other qualifying activity)
  • Copies of educational certificates, academic transcript of records and letters of recommendation
  • A complete list of publications and up to 5 academic works that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English (or a Scandinavian language). Applications with documents missing will not be considered further.

An expert committee will evaluate the applications. Applicants will normally be called in for interview.

Formal regulations

According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

 The University of Oslo has an agreement for all employees, aiming to secure rights to research results a.o.

The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.

Contact information

Professor Knut Jørgen Måløy, k.j.maloy@fys.uio.no, or Professor Eirik G. Flekkøy, e.g.flekkoy@fys.uio.no.

For technical questions regarding the recruitment system, please contact HR Adviser Elin Thoresen, e-mail: elin.thoresen@mn.uio.no, phone +47 22 85 71 96.

About the University of Oslo 

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. 

The research at the Department of Physics covers a broad range of subfields within physics and technology: From space research to medical physics. A good proportion of the research is interdisciplinary, and conducted in close cooperation with collaborators in Norway and abroad.

Education and teaching are other essential activities. We offer a broad range of courses, and the Department is involved in several study programmes at bachelor’s and master’s level. Some of the best lecturers in Norway are amongst our employees, and we are proud of our prizewinning teaching and learning environment. The Department has 200 employees, of which 50 are permanent scientific positions. On a yearly basis 20 students complete their Ph.D. and 50 finish their M.Sc. degree.

Deadline: 22 August 2021
Unit: Department of Physics
Campus:
Read the job description and apply online
Apply for job

Post expires on Sunday August 22nd, 2021

Reannounced: One or more PhD stipends in international trade and delimitation of product markets for life cycle assessment databases (20-21023G)

At the Technical Faculty for IT and Design, Department of Planning, the Danish Centre for Environmental Assessment (DCEA), a PhD stipend is available within the general study programme Planning and Development. The stipend is open for appointment from 1 October 2021 or soon hereafter. Workplace is in Aalborg or Copenhagen.

Job description

The department provides high-quality research and teaching in the field of planning, technology and society in order to create a more sustainable future. We are interdisciplinary in the technical, natural and social science disciplines and present a unique combination of social and technological understanding where digital and technological solutions merge with the needs of society. Our research creates the foundation for educating the future workforce, and as part of Aalborg University, the department rests on a socially engaging and problem-oriented approach. It is also at Department of Planning that the UNESCO Center for Problem-Based Learning is at home. That helps ensure, we create educations aimed at the job market and a society with increasing focus on technology, digitization, sustainability and partnerships for a sustainable transition.

The stipend is part of the research project “Getting the data right” for climate footprints, a 4-year research project to provide a globally unique virtual lab and database tool for quantitative assessment of the climate effects of decision alternatives, popularly speaking ‘a climate footprint generator’, and a mechanism to ensure its continuous maintenance.

The PhD study is anticipated to cover the following aspects:

  • Automated procedures for continuous provision and balancing of physical and monetary trade data.
  • Assessment and determination of supply mixes to the different global, regional, and local product markets.

We expect that you:

  • Have a relevant Master’s degree in economics, data science, or engineering
  • Have experience with programming (python)
  • Have experience with complex quantitative modelling, e.g., ecosystem, economic, or social modelling
  • Have a high level of English language and communication skills, both in writing and verbally

You may obtain further information from Associate Professor Jannick Schmidt jannick@plan.aau.dk, phone 4025 1299 concerning the scientific aspects of the stipend.

PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.

For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Camilla Hvass-Raun, The Doctoral School at The Technical Faculty of IT and Design, email: chvass@adm.aau.dk, phone: +45 9940 7406.

For more information of The Technical Doctoral School of IT and Design: www.phd.tech.aau.dk

The faculty have a research school, The Technical Doctoral School of IT and Design: http://www.phd.tech.aau.dk/ and a PhD association and network for PhD students at AAU http://www.phd.tech.aau.dk/current-students/PAU/.

Aalborg University provides outstanding research and education. For the third year in a row we have placed Europe’s best and the world’s fourth best engineering university on the list of “Best Global Universities” published by the U.S. News & World Report. Our research and educations are multidisciplinary and build on close collaborations with business and industry. This also comes from our world-renowned PBL teaching model, which is based on solving the problems of reality. These collaborations and our acknowledged research contribute new insights, new solutions to societal matters and knowledge that are changing the world. More than 20,000 students are enrolled at Aalborg University, of which over 10% are international students from various countries worldwide. To support them, we have 3500 employees, divided between Aalborg University’s main campus in Aalborg and our departments in Copenhagen and Esbjerg.

The application is only to be submitted online by using the “Apply online” button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Agreement

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 28 June 2019 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

Vacancy number

20-21023G

Deadline: 2021-08-25 at 23:59

Read the job description at the university homepage or Apply.

Post expires on Wednesday August 25th, 2021

Postdocs (2) in Supramolecular Chemistry

Two 2-year Post-Doctoral Fellowships in supramolecular and bioorganic chemistry are available at the Technical University of Denmark under the supervision of Associate Professor Sophie Beeren. The positions are funded by the Carlsberg Foundation Young Researcher Fellowship grant entitled ‘Enzyme-Mediated Dynamic Combinatorial Chemistry’. The successful candidate will join an ambitious, international research team, which is a part of the Organic and Inorganic Chemistry section at DTU Chemistry.

The positions are available from October 1 2021, or as soon as possible thereafter.

Research in the group is focused on supramolecular chemistry in water. We aim to understand how non-covalent interactions allow molecules interact, to recognise each other, to fold and assemble into larger, multi-component systems. We take inspiration from biological systems and exploit the tools of biochemistry to build new and complex chemical architectures, dynamic systems, host-gest complexes and adaptive materials.

The project will explore the use of enzyme-catalysed reactions in templated dynamic covalent synthesis – combining supramolecular chemistry with enzymology. This methodology will be developed towards the synthesis of carbohydrate-based receptors and stimuli-responsive materials. 

Responsibilities and qualifications
The work will include the design, synthesis and characterisation of molecular building blocks and supramolecular assemblies, enzymatic synthesis of glycans, analysis of dynamic oligosaccharide mixtures, and biophysical studies to investigate conformation, binding phenomena and self-assembly. Active dissemination of the obtained results, in scientific articles and through participation in international conferences, is an integral part of the job. The candidates hired will also be expected to take some responsibility for guiding and training students in the group, engage in some teaching, and perform a limited number of administrative tasks.

The successful candidate should have a PhD in Supramolecular or Organic Chemistry. Previous post-doctoral experience is an advantage. Extensive experience working with spectroscopy (NMR and optical), chromatography analysis (HPLC, LC-MS), mass spectrometry and/or organic synthesis is essential. Knowledge within the field of biochemistry could be an advantage but not essential. Experience within the field of systems chemistry would be valuable. Most importantly, the candidate should be highly motivated, able to work both independently and collaboratively, and should have excellent written and spoken English. The applicant should strive towards scientific excellence, be ambitious and hard-working. Only applicants who seek to be among the brightest in their field and conduct science at the highest international level will be considered.   

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 terms of employment
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.   

You can read more about career paths at DTU here.   

Further information
Further questions about the project and position should be directed to Associate Professor Sophie Beeren, email: sopbee@kemi.dtu.dk.    

You can read more about DTU Chemistry at www.kemi.dtu.dk and about the Beeren group at www.kemi.dtu.dk/SophieBeeren.    

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.   

Application procedure
Your complete online application must be submitted no later than 30 August 2021 (Danish time)Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • Application (cover letter)
  • CV
  • Academic Diplomas (MSc/PhD)
  • List of publications
  • 1-page summary of previous research
  • Contact details for at least two academic referees

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

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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 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: 2021-08-30 at 23:59
Unit: DTU Chemistry

Read the job description at the university homepage or Apply.

Post expires on Monday August 30th, 2021

Postdoc in Nano-Optoelectronics

At the Technical University of Denmark (DTU), we recently established a new research center, NanoPhoton – Center for Nanophotonics (https://nanophoton.dtu.dk/), to perform fundamental and applied research on a newly discovered class of semiconductor nanostructures, termed dielectric bowtie cavities. These cavities confine light to spots in the nanometer range and open several new and previously unimagined possibilities within quantum and information technology.

In this project, we want to explore the bowtie cavity concept to address one of the most important and yet unsolved challenges in information technology, namely how to integrate photonics and electronics. Solving that problem could lead to a considerable speed-up of computers and interconnects and significant energy savings. However, progress is required in several research disciplines, including light-matter interaction in nanostructures, nanofabrication, nanoscale material characterisation, and modelling and design. NanoPhoton is enabled by a major center grant from the Danish National Research Foundation and gathers leading experts within all these disciplines from several Departments at DTU.  

Responsibilities and tasks
The postdoc will be responsible for analysing the fundamental properties of nanolasers and nanophotodetectors integrated with transistors. This includes establishing physical models for the devices and the interface and subsequent analysis using computer simulations and analytical techniques. Based on the insight obtained, the candidate will guide the design of actual structures to be fabricated in DTU's cleanroom. Depending on interest and background, the candidate may also contribute to the experimental characterisation of the fabricated devices.  

Qualifications
Candidates should have a PhD degree in physics or electrical engineering. In the selection of candidates, special consideration will be given to:

  • Expertise in nanoelectronics or nanophotonics
  • Expertise in mathematical modelling and analysis of physical systems
  • Experience in experimental characterisation of photonic or electrical devices
  • A strong drive, interest in acquiring new skills, and a strong team spirit
  • Good communication skills, including a track-record of publications in high-level journals within relevant fields
  • Interest in the supervision of students

We offer
DTU is a leading technical university globally recognised 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 characterised by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
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 two years. The preferred starting date is 1 November 2021, or as soon as possible after that.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Professor Jesper Mørk, tel.: +45 2082 4576, email: jesm@dtu.dk or Professor Kresten Yvind, email: kryv@dtu.dk

You can read more about DTU Fotonik at www.fotonik.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.  

Application procedure
Your complete online application must be submitted no later than 30 August 2021 (Danish time)Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • Application (cover letter)
  • CV
  • List of reference persons
  • Diploma (MSc/PhD)
  • List of publications

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

DTU Fotonik has 220 employees and is one of the largest research centers in the world focusing entirely on photonics. Research is performed within the span from fundamental science to applications, emphasising the areas of nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, and bio-photonics.

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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 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: 2021-08-30 at 23:59
Unit: DTU Fotonik

Read the job description at the university homepage or Apply.

Post expires on Monday August 30th, 2021

PhD student position in Computer Science with focus on trustworthy anomaly detection

Institutionen för datavetenskap

Apply

before 2021-08-22

Temporary position longer than 6 months

100 %

Umeå

Umeå University, the Department of Computing Science, is seeking outstanding candidates for a PhD student position in Computer Science with focus on trustworthy learning for anomaly detection in complex data. Deadline for application is 22 August, 2021.

The position funded by The Knut and Alice Wallenberg Foundation through The Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest ever individual research program, and a major national initiative for strategic basic research, education and faculty recruitment. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society as well as industry. For more information about the research and other activities conducted within WASP please visit http://wasp-sweden.org/.

The graduate school within WASP provides foundations, perspectives, and state-of-the-art knowledge in the different disciplines taught by leading researchers in the field. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD students, researchers and industry. It thus provides added value on top of the existing PhD programs at the partner universities, providing unique opportunities for students who are dedicated to achieving international research excellence with industrial relevance.

Project description

Classical machine learning algorithms are more trustworthy than deep learning because they are less complex and less opaque. On the other hand, they have large disadvantages. The use of machine learning for defense of computer systems against growing security and privacy attacks accelerate challenges to ensure accurate, reliable and robust models. Because security and privacy of learning models are largely ignored, though they are key for safety and security critical application domains such as healthcare, automotive and robotics, industry 4.0, and cyber-physical systems. Such attacks can manipulate, evade, fool, misled the learning models or systems at any levels, e.g., data, model, and inference. As a result, current detection and defense models lead to catastrophic performance, loose user’s privacy and trust, and also incurred a substantial financial loss for cloud service providers. Hence, the proposed models for detection, defense, and root-cause analysis of anomalies need to be more robust and resilient to both security and privacy attacks.

The aim of this project is primarily to develop trustworthy learning methods for anomaly detection, defense, and root-cause analysis in complex data (e.g., heterogenous, multi-source, data with extreme missing values) to increase model robustness, adaptability, resilience, and transparency. We propose to design and implement trustworthy machine learning algorithms for anomaly detection, defense and root-cause analysis under adversarial settings. These algorithms rigorously investigate the input, model and output leveraging (a) geometric and statistical distribution of data, (b) adversarial features with significant amount of attack variation, (c) internal behavior analysis of models, (d) model-agnostic vulnerability analysis, (e) security and privacy-aware design of models to address the evolving adversarial attacks. These features improve the performance, scalability, robustness and transparency of the data, models and inference. They will also have great potential for application to edge clouds, Internet of Things (IoT), healthcare, and industry 4.0 under adverse conditions.

The position is aimed for graduate studies in Computing Science within the autonomous distributed systems lab, but collaboration with researchers in, e.g., machine learning, mathematical statistics, optimization, trustworthy learning, deep learning or artificial intelligence is expected. (For further information, see www.cloudresearch.org).

Admission requirements

The applicant is required to have completed a second-cycle level degree, or completed course requirements of at least 240 ECTS credits, of which at least 60 ECTS credits are at second-cycle level, or have an equivalent education from abroad, or equivalent qualifications.

To fulfill the specific entry requirements for doctoral studies in computing science the applicant is required to have completed courses at advanced level in computing science or another subject considered to be directly relevant for the specialization in question, equivalent to 60 ECTS credits.

Documented knowledge and a solid background in machine learning and security or distributed systems is a requirement. The research is to a large extent interdisciplinary, and a broad competence profile and experience from other relevant areas (such as machine learning, distributed learning, adversarial learning, deep learning, IoT, discrete optimization, and statistical methods) is considered a merit.

Important personal qualities are, beside creativity and a curious mind, the ability to work both independently and in a group and experience in the scientific interaction with researchers from other disciplines and in other countries. Good skills in both spoken and written English are a requirement for the position. 

Terms of employment

The position is aimed for PhD studies and research during four years, leading to a PhD degree. It is mainly devoted to postgraduate studies (at least 80% of the time), including to take part in the WASP Graduate School, but may include up to 20% department service (usually teaching). If so, the total time for the position is extended accordingly (up to maximum five years). The employment will start as soon as possible, or as otherwise agreed.

Submitting your application

A complete application should contain the following documents:

a) A cover letter including a description of your research interests, your reasons to apply for the position, and your contact information

b) A curriculum vitae

c) Copies of degree certificates and other completed academic courses

d) Reprints / copies of Bachelor’s / Master’s thesis, and other relevant publications, if any

e) Contact information for three reference persons

f) Documentation and description of other relevant experiences or competences, such as from software development and work in or with industry.

The application must be written in English or Swedish. Documents must be in Word or pdf format. Applications must be submitted electronically using the e-recruitment system of Umeå University, and be received no later than 22 August, 2021. 

The department of Computing Science is actively striving for gender balance, and thus encourages applications from women.

The procedure for recruitment for the position is in accordance with the Higher Education Ordinance (chapt. 12, 2 §) and the decision regarding the position cannot be appealed.

Further information can be obtained from Assistant Professor Monowar Bhuyan, (email: monowar@cs.umu.se) and Professor Erik Elmroth (email: elmroth@cs.umu.se).

More about us:

The Department of Computing Science is a dynamic environment with over 140 employees representing more than twenty countries worldwide. We conduct education and research on a broad range of topics in Computing Science. The focus of the research in the Autonomous Distributed Systems Lab is to design, develop, deploy distributed learning algorithms for (autonomous) resource and application management for different types of IoT, IIoT, edge clouds and large-scale complex systems.

We look forward to receiving your application!

Admission

According to agreement

Registration number

AN 2.2.1-1024-21

Salary

Monthly

Read the job description at the university homepage

Apply

before

2021-08-22

Umeå University wants to offer an equal environment where open dialogue between people with different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising help.

Post expires on Sunday August 22nd, 2021

PhD position in computational science with focus on evolutionary ecology

Department of Mathematics and Mathematical Statistics

Apply

before 2021-09-01

  • Temporary position longer than 6 months
  • 100%
  • Umeå

The Department of Mathematics and Mathematical Statistics at Umeå University invites applicants for a PhD position in computational science, focused on evolutionary ecology. The position is for four years of doctoral studies which include both participation in research and postgraduate courses. Last day to apply is September 1, 2021.

Project description and tasks
A key issue in ecology is how biodiversity affects the stability and functions of ecosystems. In this project, we will develop an integrative framework that will be used to systematically study this question from an evolutionary perspective and at different spatial and temporal scales. Specifically, we will use eco-evolutionary modelling techniques that we have recently developed (see, for example, Wickman et al. 2019; Ecology Letters 22: 1746-1756) to create virtual communities of coexisting species through evolutionary processes.

We plan to compare ecosystem functions such as biomass production and resource use between communities of resource competitors that were either randomly assembled or have evolved through natural selection. To study the importance of spatial factors, we will explore these processes on spatially heterogeneous landscapes and will sample the communities on different spatial scales. We also plan to investigate how different metrics, e.g. different measures of biodiversity, differ in the ability to predict ecosystem functions. If time allows, we will extend the ecological communities to several trophic levels enabling the evolution of food webs.

Qualifications
The PhD student will be admitted to third-cycle studies in computational science and engineering with specialization in mathematics.

To be admitted for studies at third-cycle level the applicant is required to have completed a second-cycle level degree, or completed course requirements of at least 240 ECTS credits, of which at least 60 ECTS credits are at second-cycle level, or have an equivalent education from abroad, or equivalent qualifications.

For third-cycle studies in computational science and engineering (CSE), the applicant is required to have completed at least 90 credits in CSE courses, of which at least 30 credits shall have been acquired at second-cycle level. CSE courses refer to courses with major quantitative, statistical or computing science elements, such as courses in computing science, mathematics and mathematical statistics or computationally intensive courses from other relevant fields.

Applicants who in some other system either within Sweden or abroad have acquired largely equivalent skills are also eligible.

Good knowledge of English language, both written and spoken, is required.

Programming skills and knowledge of ecology is very advantageous. Experience of working interdisciplinary or of using computational or mathematical methods in a field such as biology or ecology is advantageous.

You are expected to play an active role in the development of this doctoral project and also in the department. You are expected to have a scientific and result-oriented approach for your work. You should therefore have very good communication and collaboration skills. You are structured, flexible and solution-oriented.

The assessments of the applicants are based on their qualifications and their ability to benefit from the doctoral-level education they will receive.

About the employment
The position is intended to result in a doctoral degree and the main task of the PhD student is to pursue their doctoral studies which include participation in research and doctoral courses, and to take part in the WASP graduate school. The duties can include teaching and other departmental work (up to a maximum of 20%). The employment is limited to the equivalent of four years of full-time (48 months) or up to five years when teaching part-time. Salary is set in accordance with the established salary levels for PhD positions. The employment starts in the fall of 2021 or according to agreement.

The PhD student is expected to have the primary office in the international and cross-departmental research environment IceLab (www.icleab.se). IceLab connects researchers from different disciplines through interdisciplinary collaborations.

Application
You apply via our e-recruitment system Varbi. Log in and apply via the button at the bottom of the page. The deadline for applications is September 1, 2021. A complete application should contain the following documents:

  • a personal letter with a brief description of your qualifications and your research interests. Motivate why you are applying for the employment and describe how your qualifications and merits are relevant to the employment,
  • a curriculum vitae,
  • authenticated copies of degree certificates, diplomas or equivalent, including documentation of completed academic courses, grades obtained, and possibly other certificates,
  • copies of relevant work such as Master’s thesis or articles that you have authored or co-authored,
  • contact information for at least two reference persons.

Applicants with a degree not from a Swedish university are encouraged to provide results obtained from GMAT (and/or GRE) and TOEFL/IELTS tests if available.

The Department of Mathematics and Mathematical Statistics values ​​the qualities that an even gender distribution brings to the department, and we therefore particularly encourage female applicants.

The procedure for recruitment for the position is in accordance with the Higher Education Ordinance (chapter 12, 2§) and the decision regarding the position cannot be appealed.

Further information
Further information is provided by Professor Åke Brännström, ake.brannstrom@umu.se, +46 90 7867862, or Professor Sebastian Diehl, sebastian.diehl@umu.se, +46 90 7865738. You can also contact the Director of Graduate Studies Jun Yu for additional questions at jun.yu@umu.se, +46 90 7865127.

More information about the department: https://www.umu.se/en/department-of-mathematics-and-mathematical-statistics/

We look forward to receiving your application!

Contact

Åke Brännström, professor

+46 90 7867862, ake.brannstrom@umu.se

Sebastian Diehl, professor

+46 90 7865738, sebastian.diehl@umu.se

Jun Yu, professor

+46 90 7865127, jun.yu@umu.se

Registration number

AN 2.2.1-1088-21

Union representative

SACO

+46 90 7865365

ST

+46 90 7865431

SEKO

+46 90 7865296

Read the job description at the university homepage

Apply

before 2021-09-01

Umeå University wants to offer an equal environment where open dialogue between people with different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising help.

Post expires on Wednesday September 1st, 2021

PhD scholarship in AI Methods for Improving Process Safety in Automation Systems

DTU Electrical Engineering seeks qualified and talented candidates for a vacant PhD position in Improving Process Safety by Applying Model-based Methods.

The purpose of the project is to define function modelling framework and implement model-based AI reasoning solutions, i.e. to develop representations and algorithms, to support a variety of industrial safety assessment procedures including Hazard Identification and Risk Assessment. The model-based reasoning system will be applied for knowledge management and decision support to facilitate the industrial safety assessment activities.  

Your work will have the potential to influence the current industrial practices, and subsequently improve the safety and reliability of industrial systems, reducing the social and environmental impact due to industrial accidents.

Responsibilities and qualifications
Safety Assessment is a key building block through industrial plants’ life cycle, which includes important steps such as hazard identification and afterwards risk evaluation. The result of it subsequently is used to support decision making during plant design, operation and maintenance, to eliminate or mitigate risks and improve safety level of the systems. However, many results of the safety assessment activities such as HAZOP studies are highly dependent on human experience and they are unlikely to be complete, consistent and error-free.   

Model-based methods are gaining recognitions in Safety Assessment due to their features such as concrete knowledge representations and consistent knowledge-based reasoning. These features bring great potential to improve the efficiency of the Safety Assessment procedure and consistency of its result. The models developed for such a purpose should represent the safety objectives and functions explicitly and always be maintained and updated, corresponding to new operational situations and changing operational conditions to support Safety Assessment through the plants’ life cycle.   

The overall aim of the project is to define formal knowledge representation and develop reasoning algorithms for Safety Assessment methods based on one of the functional modelling approach called Multilevel Flow Modelling (MFM). Current research in MFM at DTU Electrical Engineering is about developing MFM based reasoning algorithms and software tools for the analysis of causes and consequences of disturbances in industrial plants like oil and gas production plants. More information regarding MFM can be found at https://www.mfm.elektro.dtu.dk/, and additional training will be provided once the project starts. The methodology will be applicable to all kinds of complex process facilities, power plants, infrastructure and more.

The project is part of a research program “operations and maintenance technology” funded by the Danish Hydrocarbon Research and Technology Center (DHRTC). The overall purpose of the program is to improve operations and safety of oil and gas production platforms in the Danish North Sea. MFM here plays a central role as a methodology for representation of plant knowledge and for Safety Assessment, Operation Support and Maintenance Planning. MFM is the technology basis for the Control Room Assistant (CRA), software developed by the project partner Kairos Technology, and will be applied again to a new software product called the “Hazop Assistant”.

We are searching for applicants that with one (or more) of the following background:

  • General Automation or Process control
  • Safety Engineering
  • Artificial Intelligence (rule based systems and knowledge representation)

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 the DTU PhD Guide.  

Assessment
The assessment of the applicants will be made by Professor Ole Ravn and Assistant Professor Xinxin Zhang, DTU Electrical Engineering and Jørgen Rentler Næumann, DHRTC DTU.  

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. 

The starting date is 1 November 2021.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Assistant Professor Xinxin Zhang, xinz@elektro.dtu.dk

You can read more about DTU Electrical Engineering at www.elektro.dtu.dk, and about “DHRTC” at www.oilgas.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.  

Application procedure
Your complete online application must be submitted no later than 29 August 2021 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", 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
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

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

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

The Automation and Control group performs research and teaching in automation technology, control theory, robotics and autonomous systems at DTU. The group has 54 affiliated researchers and other employees. Please read more about the Automation and Control group on www.aut.elektro.dtu.dk/.  

DTU Electrical Engineering educates students within electrical engineering technologies. We offer studies at BEng, BSc, MSc, and PhD levels, and participate in joint international programmes. We conduct excellent research within acoustic technologies, electromagnetic systems, electronics, autonomous systems, robotic technologies, digital energy solutions, interconnected energy systems, electric energy technologies, and not least electrification in many respects. Our Department has more than 200 members of staff.

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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 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: 2021-08-29 at 23:59
Unit: DTU Electrical Eng

Read the job description at the university homepage or Apply.

Post expires on Sunday August 29th, 2021

Postdoc in Enzyme Discovery

Postdoctoral fellows are encouraged to apply for a position at Department of Biotechnology and Biomedicine (DTU Bioengineering) at the Technical University of Denmark placed in the Enzyme and Protein Chemistry group in the section of Protein Chemistry and Enzyme Technology with about 80 staff members. The employment depends on applicant’s expertise and can be for 24 months.

The work is part of a project ‘DSMADE’ (Discovery, Specificity and Mechanism of Alginate Degrading Enzymes) granted by the Independent Research Fund Denmark ! Natural Sciences.

The research will be carried out at DTU Bioengineering, DTU Compute, DTU Biosustain, Norwegian University of Science and Technology (NTNU), University of Barcelona and University of Aix-Marseille involving Bernard Henrissat, Ole Winther, Casper Wilkens, Ditte H. Welner, Carme Rovira, Finn L. Aachmann and Birte Svensson. 

Responsibilities and qualifications
Initial focus is on applying bioinformatics and developing deep learning tools to identify candidates primarily of alginate lyases in a wide range of polysaccharide lyase families by exploring biological sequence databases, gene catalogues and bacterial genomes. Identified candidates are then subjected to validation of the predictive tools by determination of three-dimensional structures and biochemical and enzymatic characterization after recombinant production. Further, selected three-dimensional structures of enzyme-oligosaccharide complexes will be subjected to computational analysis of the mechanism of action. Alginate is a marine polysaccharide composed of mannuronate and guluronate residues organized in different block structures. We aim at identifying tools for disclosing the relationship between the fine substrate specificity and the reactions at the activity sites of these diversely evolved enzymes. Additionally we shall investigate structure/function relationships of the enzyme candidates and the synergism between exo-and endo-acting enzymes with different substrate preferences using defined alginates and polyuronic acids as substrates.   

The successful candidate will benefit from being part of a multidisciplinary project advancing validated accurate annotation of the function of polyuronic acid degrading enzymes. The partners provide excellent collaborating research environments including state-of-the-art computations and data science, infrastructure and instrumentation. Alongside the DSMADE project related experimental research is pursued on alginate converting enzymes by several of the different partners. In particular at DTU Bioengineering and NTNU a number of other young scientists work on alginate converting enzymes mostly on biochemical, structural and enzymatic properties. 

Finally, even though DSMADE has no formal industrial partner we are well connected with industries working on production of alginates and oligosaccharides derived thereof for various applications in the food and pharma sectors.  

As a formal qualification, you must hold a PhD degree (or equivalent) earned no more than 4 years before the deadline for application to this advertisement.

We expect you have a solid background within bioinformatics and protein science and a good understanding of protein and enzyme structure-function relationships.

Experience with several of the below topics will be a special advantage:

  • Machine learning
  • X-ray crystallography
  • Molecular dynamics
  • CAZymes
  • Carbohydrate chemistry including on polyuronic acids
  • Enzyme mechanisms

We expect you are motivated for:

  • individual as well as team accomplishments
  • working in a multidisciplinary project
  • interacting with international research leaders and their research groups

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 terms of employment
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 position will be available from 1 October 2021 or soon thereafter.

The workplace will be at departments located on the DTU main campus in Lyngby, 10 km north of Copenhagen in Denmark with work visits to partners in Trondheim, Barcelona and Marseille. 

You can read more about career paths at DTU here

Further information
Further information may be obtained from Professor Birte Svensson (tel.: +45 4525 2740; bis@bio.dtu.dk), Assistant Professor Casper Wilkens (cwil@dtu.dk) and Professor Bernard Henrissat (behen@dtu.dk) all at DTU Bioengineering. 

You can read more about DTU Bioengineering on www.bioengineering.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

Application procedure
Your complete online application must be submitted no later than 27 August 2021 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • Application (cover letter)
  • CV
  • Academic Diplomas (MSc/PhD)
  • List of publications
  • Up to three letters of recommendation

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

Department of Biotechnology and Biomedicine (DTU Bioengineering) is an international leader in biotechnology and biomedicine. Our engineering approach to all aspects of biotechnology and biomedicine positions us as a valuable player with unique competences in a growing bio-based economy and with health systems transforming towards personalized medicine. We have a clear focus on the needs in the life science industry and point towards innovation, new businesses and scientific services for the benefit of society. The department has extensive collaborations with national and international research units and industry. DTU Bioengineering has approx. 220 employees, of which 2/3 is scientific staff. The department is located at DTU Lyngby Campus.

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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 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: 2021-08-27 at 23:59
Unit: DTU Bioengineering

Read the job description at the university homepage or Apply.

Post expires on Friday August 27th, 2021

PhD studentship position for Testing Activity of Small Cluster to Nanometre-Sized Catalyst for Electrochemical CO2 Hydrogenation (ESR11)

We are seeking the ESR 11 (doctoral student) of our recently funded Marie Sklodowska Curie-ITN CATCHY project on the “Design, implementation and production upscaling of novel, high-performance, multimetallic cluster-based catalysts for CO2 hydrogenation and electroreduction”.

The successful candidate will have obtained excellent grades in his/her Bachelor and Master degrees. He/she should also be well-motivated, hardworking and willing and able to work as part of a team. Candidates for the PhD positions should have a Master’s degree in Physics, Chemistry, Chemical Engineering or Materials Science by the time they commence the project. Candidates who has shown interest/had experience in the surface science/catalysis/electrochemistry approach will be preferred.

The ESR 11 at Surface Physics & Catalysis (SURFCAT) at the Department of Physics at the Technical University of Denmark (DTU) will be in charge of producing and testing mass-selected bi- and multimetallic clusters deposited on microreactors for methanol synthesis.

This work includes investigating the response to changes composition and size and ultimately understand how we can tune and improve the selectivity.

The candidate will further characterize the bi- and multimetallic clusters using e.g. X-ray absorption measurements under working conditions at the Swiss Light Source with our Paul Scherrer Institute partner in Switzerland. The candidate will also be trained in computational modelling of clusters under reactions mimicking the microreactor at Budapest University of Technology and Economics, Hungary.

Three periods of 1-2 months of mobility (secondment) at our EU partners are foreseen.

Approval and Enrolment
The scholarship for the PhD degree are subject to academic approval, and the candidates will be enrolled in one of the general degree programmes of DTU, for example in Mathematics, Physics and Informatics. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide

Salary and appointment terms
Please check the employment conditions at www.catchy-etn.eu.The PhD positions are for 3 years and the PhD thesis must be delivered during this period.

The starting date is soon as possible.

Further information
For further information about the research at SurfCat at the Department of Physics at the Technical University of Denmark (DTU) please inspect www.surfcat.dtu.dk

Should you have any queries regarding the positions, please contact Associate Professor Christian Danvad Damsgaard, cdda@dtu.dk.

Application
Your online application must be submitted no later than 15 August 2021 and you should apply online BOTH at www.career.dtu.dk and www.catchy-etn.eu/esr-11/ 

Please pay attention to the specific application conditions at www.catchy-etn.eu and www.career.dtu.dk

Applications must be submitted as one and one only PDF file containing all materials to be given consideration. Multiple files will not be considered. To apply, please open the link "Apply online," fill in the online application form, and attach all your materials in English in one PDF file and one file ONLY. The file must include:

  • A cover letter motivating the application. (Max one page)
  • A curriculum vitae
  • A list of publications
  • Copies of BSc, MSc and PhD degree diplomas
  • Mandatory excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)
  • Names and e-mail addresses or telephone numbers of 2 references.

Candidates may apply prior to obtaining their master's degree but cannot begin before having obtained their Master with an acceptable grade, 10 or 12.

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

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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 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: 2021-08-15 at 23:59
Unit: DTU Physics

Read the job description at the university homepage or Apply.

Post expires on Sunday August 15th, 2021

Postdoctoral position (Environmental-LCA) – Building sustainable biomass value chains in Southern Africa

Ref SLU.ua. 2021.2.5.1-2381

Department of Energy and Technology

At the Department of Energy and Technology, research and education are conducted focusing on how agriculture can contribute to a sustainable society. We have extensive expertise in technology and systems for sustainable production of food and bioenergy. Within the field of methodology we have extensive competence in System Analysis including Environmental Systems Analysis and LCA, as well as Biometrics (statistics and mathematics with applications in biological systems).

Duties:

We are looking for a person who will assess the environmental and economic impacts when establishing new bio-based value chains in Southern African countries.

The work consists of quantifying and assessing the potential impacts from a system perspective using life cycle assessment (LCA). An important part of the work is to assess the carbon flows in the bush-encroached savannah ecosystem and throughout the product value chains as new bio-based products replace other products in local households and industries. The work also includes method development for how to improve environmental LCAs to better reflect local stakeholder preferences in African contexts. The focus of the work will be on harvest, transformation, sales and end-use of encroaching and invasive bush as well as the restoration of the affected savannah regions across Namibia, Botswana and South Africa to productive land. This will generate jobs, increase energy security, mitigate climate impacts and  lead to long term social, economic, and environmental benefits across the region. You will work in a larger research group at SLU and collaborate with research groups at other European and African institutions as well as with companies engaged in the biomass and bioenergy sector.

Qualifications:

Doctoral degree in technology or science with a focus on the environment or energy. Knowledge in environmental life cycle assessment (LCA), life cycle costing (LCC), savannah ecosystems and biogenic carbon modelling is an advantage for the position.

The holder of the position must be able to communicate in English, and it is an advantage to also be able to communicate in Swedish. Emphasis is placed on personal qualities, such as analytical and problem-solving ability, the ability to co-operate as well as the ability to work independently.

The position is a postdoctoral fellow. When employed as a postdoctoral fellow, we are mainly looking for people who have completed a doctoral degree no more than three years ago.

The application should contain:

  1. Cover letter describing yourself, your motivation for applying for the position, including a short description of what you want to focus on during the post doc position, and why (maximum 2 A4 pages)
  2. CV describing your education, publications, relevant work experience, etc.
  3. Contact information for two references
  4. Copy of your PhD certificate
  5. Academic publications of relevance for the position

Place of work:

Uppsala

Form of employment:

Temporary employment, 24 months

Extent:

100%

Starting date:

According to agreement.

Application:

We welcome your application no later than 2021-08-15 use the button below.

Academic union representatives:

https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/


The Swedish University of Agricultural Sciences (SLU) develops the understanding and sustainable use and management of biological natural resources. The university ranks well internationally within its subject areas. SLU is a research-intensive university that also offers unique degree programmes in for example rural development and natural resource management, environmental economics, animal science and landscape architecture.

SLU has just over 3,000 employees, 5,000 students and a turnover of SEK 3 billion. The university has invested heavily in a modern, attractive environment on its campuses in Alnarp, Umeå and Uppsala.

www.slu.se

SLU is an equal opportunity employer.

Contact person

Niclas Ericsson

Researcher

niclas.ericsson@slu.se

Read the job description at the university homepage

Apply

Post expires on Sunday August 15th, 2021

Postdoc in Sustainability Assessment of Crop Protection in Europe using GIS

Do you want to build a career in developing science-based solutions for addressing society’s grand sustainability challenges? Do you want to work with international front-runners in agronomy, environmental chemistry and toxicology, and sustainability assessment from academia, industry and public institutions? Do you want to support the EU Chemicals Strategy for Sustainability? Then, this postdoctoral project is the right fit for you!   

You will develop methods and guidance for assessing impacts of pesticides on human and ecological health, and provide recommendations for a sustainable plant protection transition in Europe.

In DTU Management’s group for Quantitative Sustainability Assessment (QSA), you will join world leaders in life cycle assessment, absolute sustainability assessment and chemical toxicity characterization. QSA offers an excellent research environment with around 30 international staff, postdocs, and PhD students.

Your project is expected to spearhead the farm-to-regional level evaluation of pesticide impacts on human and environmental health, as part of the Horizon 2020 SPRINT project aiming at a sustainable plant protection transition using a global health approach. It is foreseen that you will participate in SPRINT project activities and network, and collaborate with scientist from SPRINT partners from academia, and from the private and public sector.

Responsibilities and qualifications
Your overall focus will be to strengthen the department’s competences within chemical toxicity and ecotoxicity assessment, geospatial modeling, and farm-to-country level data analysis. Methods developed in your postdoctoral project will help evaluating agricultural pesticides applied in European crop production, through the modeling of application-to-impact pathways for human and environmental health.

Your primary tasks will be:

  • Develop a framework for assessing farm-level environmental impacts of pesticide use, using real-life data from case study farms across Europe and Argentina
  • Integrate chemical and environmental data into a GIS-based modeling environment for pesticide impact evaluation
  • Define criteria and rules for upscaling of impact quantification from farm- to regional/country-level
  • Translate environmental and human health impacts into damages and into monetary costs for integration with economic sustainability indicators
  • Provide impact results for various conventional, organic and integrated crop protection practices form farm-to-country level
  • Teach and supervise MSc student projects, and co-supervise PhD student projects

You will become part of an energetic and dynamic research environment.

Required qualifications
You should have a PhD degree in environmental engineering, mathematical physics or a similar degree. You should have expertise in the fields of geospatial modelling (GIS), and life cycle assessment (LCA).

Special expertise in analysing fate, exposure and toxicological effects of chemicals, advanced skills in ArcGIS and Python or Matlab are a clear advantage. A strong motivation for analytical research and excellent communication skills in English are essential for a successful application.

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 terms of employment
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 two years. Starting date is 1 September 2021 or later.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Professor Peter Fantke, email: pefan@dtu.dk.

You can read more about the DTU Management department at www.man.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.   

Application procedure
Your complete online application must be submitted no later than 15 August 2021 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • Application (cover letter)
  • CV
  • Academic Diplomas (MSc/PhD)
  • List of publications
  • 1-2 support letters from professional referees (e.g. former supervisors, senior collaborators)

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

DTU Management conducts excellent research in the intersection between management, technology and economics – in close cooperation with companies and public authorities. In our research, we focus on the path to an efficient and sustainable society. A key element is the role of technology and its interaction with industry and individuals. The department’s research is divided in four divisions: Innovation, Management Science, Sustainability and Transport. Furthermore, the department hosts a UN Collaborating Centre on Energy, Climate and Sustainable development. The UN DTU Partnership conducts research, policy analysis and advising on a global scale. The department offers a broad range of courses and programmes at bachelor, master and PhD level across DTU’s study programmes. DTU Management employs about 300 people. We offer an international environment with around 50 different nationalities represented at the department. Read more here

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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 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: 2021-08-15 at 23:59
Unit: DTU Management

Read the job description at the university homepage or Apply.

Post expires on Sunday August 15th, 2021