Tag Archives: Umeå University

PhD position in Energy Technology – Solar thermal energy productione

Energiteknik

Apply

before2022-08-05

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

We are recruiting a PhD student in Energy Technology with a focus on solar thermal energy production at Umeå university Starting date is negotiable but we expect that the PhD student can join the group sometime between September and November 2022. The closing date for the application is August 5th 2022.

Project Description
Solar energy is an important renewable energy resource that can be used for different thermal applications such as space and water heating in residential buildings. To integrate solar energy in district heating systems (DHSs) medium-high temperatures are needed that could be achieved with a concentrating solar thermal collector even in high latitude regions such as the Nordic countries. Such integration could contribute to decarbonizing our society by replacing biomass- and fossil-based energy resources in the Swedish DHS and to enhance energy security. The scope of this call for new PhD students is to use system approach to investigate the environmental effects and the economic effects of integrated solar thermal in the Swedish DHSs.

The doctoral student will get an opportunity to participate in experiments/trials, both at local laboratories and at full-scale heat production facilities. The student will have to develop and implement numerical simulation tools to analyse the integration of solar thermal in district heating networks considering different conditions such as heat production technologies, scales of heat production, type of fuels, and climates. Collaboration with project partners is an important aspect of the project.

Qualifications
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 credits, of which at least 60 credits are at second-cycle level, or have an equivalent education from overseas, or equivalent qualifications.

To fulfil the specific entry requirements to be admitted for studies at third-cycle level in energy technology with specialisation in energy efficiency or energy technology with specialisation in thermal process chemistry, the applicant is required to have completed course requirements of at least 120 credits within the field of energy technology, closely related areas of application or other subject areas considered to be directly relevant for third-cycle studies. Applicants who in some other system, either within Sweden or abroad, have acquired largely equivalent knowledge are also eligible. The requirements must be fulfilled at the time of admission to postgraduate education and need not be met at the time of application.

As a PhD student, the applicant should have the ability to work systematically, thoroughly and independently, as well as in collaboration with others. Further, the applicant must be familiar with theoretical engineering science tools and have good working knowledge of the research area. The planned work requires an analytical and creative mind.

The applicant should be proficient user in both oral and written dissemination in English. Documented knowledge and/experience in solar thermal energy topics is strongly meriting. Courses and documented experience of working with energy simulations and statistical methods are merits.

Terms of employment
The employment is expected to result in a doctoral degree and the main assignment for the doctoral student is thus to be active in research, study doctoral courses, and possibly participate in teaching of courses at undergraduate level. The employment is limited to four years at full time or up to five years if teaching or other departmental work is performed. The salary is fixed according to the established salary level for doctoral students at the Faculty of Science and Technology, Umeå University.

Application
Your application should include the following:

  1. A cover letter with a brief description of your qualifications, research interests and motivation for applying, and your contact details (max. 2 pages)
  2. Curriculum vitae.
  3. Authenticated copies of relevant degree diploma(s) and certificates.
  4. A list of university courses with grades. Note that for international applicants the grading system should be explained in brief.
  5. A copy of master thesis and publications (if any).
  6. Contact information of two reference persons.

The application, including attached documents, must be written in English or Swedish. The application is made through our electronic recruitment system. The closing date for the application is August 5th 2022.

Information
For more information contact:
Professor Thomas Olofsson, 090-786 67 10, thomas.olofsson@umu.se or
Associate Professor Gireesh Nair, 090-786 88 04, gireesh.nair@umu.se

We look forward to receiving your application!

Admission

2020-10-01 eller enligt överenskommelse

Contact

Thomas Olofsson

090-7866710

Gireesh Nair

090-7868804

Registration number

AN 2.2.1-1217-22

Salary

Månadslön

Union representative

SACO

090-7865365

SEKO

090-7865296

ST

090-7865431

Read the job description at the university homepage

Apply

before

2022-08-05

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 Friday August 5th, 2022

PhD position in Experimental Physics

Institutionen för fysik

Apply

before 2022-07-31

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

The Department of Physics (https://www.umu.se/en/department-of-physics/) at Umeå University conducts strong research in the areas of organic electronics, condensed matter physics, nanotechnology, photonics and theoretical physics. We announce a PhD position for a project focusing on ultrafast multidimensional spectroscopy for structural biology. Last day to apply is July 31st, 2022. Starting date is October 1st, 2022 or according to agreement.

Project description
We are looking for a PhD candidate interested in developing a state-of-the art ultrafast vibrational spectroscopy system to uncover the structure, and consequently the function, of molecular entities controlling key life processes inside our cells. The PhD project interfaces three rich fields of research: ultrafast science, optics and structural biology. The  overarching goal is to measure correlations between coherent vibrations in organic molecular systems. This approach, while technically challenging, could bring the highest degree of biomolecular specificity.

The primary field of study for the PhD candidate will be to develop an experimental setup that will combine the generation of ultrabroadband pulses in the MIR spectral region (from 2.5 to 15 μm wavelength) with their coherent superposition for two-dimensional mid-infrared time domain spectroscopy (2D-MIR TDS). This system will be coupled to a home-made mid-IR microscope that will add spatial resolution. Finally, we will apply our broadband MIR pulses to detect relevant biomolecules (e.g., proteins such as the transcription factor GCN4, or the neurodegenerative biomarkers α-synuclein) in the so called “molecular finger-print region”.

This project is a part of a collaborative effort between Uppsala University (Sweden), Umeå University (Sweden), the Deutsches Elektronen-Synchrotron (Germany), the National Research Council (Italy), CIC biomaGUNE (Spain), the University of Padova (Italy) and the European Synchrotron Radiation Facility (France), and is funded by the European Innovation Council through the Pathfinder project ‘iSenseDNA’. Within this project, the research group at Umeå University aim to develop an ultrafast pump-probe system to perform 2D-MIR TDS for the detection of vibrational signatures of molecular systems and recognize structural changes with an extreme spatial, spectral, and temporal sensitivity.

Qualifications
To be admitted for studies at third-cycle level you are required to have completed a second-cycle level degree, or completed course requirements of at least 240 ECTS credits. The recruitment procedure will follow the Higher Education Ordinance (Högskoleförordningen). Prerequisites include 240 ECTS credits (högskolepoäng) of higher education studies, of which 60 should be on an advanced/second-cycle level (Master’s level), or equivalent. In addition to these requirements, 120 ECTS need to be in physics. The requirements do not need to be fulfilled at the time of application but only at the enrollment. Fluency in English is mandatory.

Candidates should have documented background in one of the following topics:

  • experimental condensed matter physics,
  • electromagnetism,
  • ultrafast optics,
  • fluorescence and/or Raman spectroscopy,
  • mid-IR spectroscopy,
  • optics.

Meriting skills include previous experience or knowledge in:

  • ultrafast optics,
  • nonlinear optics,
  • nanophotonics,
  • frequency and/or time-resolved (pump-probe) spectroscopy,
  • data analysis (e.g. MATLAB, Origin, Igor),
  • finite element and/or FDTD methods,
  • basic programming/coding in Labview..

We seek a doctoral candidate who wants to work in an inter-cultural and international environment, and who has the ability to work independently as well  as part of a team.

Terms of employment
The employment is expected to result in a doctoral degree and the main assignment for the doctoral student is thus to be part of the research education, which includes participation in the described research project but also to take relevant courses. Teaching and other departmental work (up to a maximum of 20%) can be included. The employment is limited to four years at full time or up to five years if teaching and other departmental work is performed. The salary is fixed according to the established salary level for doctoral students. The employment starts on October 1st 2022 or according to agreement.

The application
The application should contain:
1.   A cover letter with summary of research interests and motivation (max. 2 pages).
2.   Curriculum Vitae.
3.   Certified copies of diplomas.
4.   Transcripts with grades, with English translation.
5.   Copies of publications (if applicable) and/or thesis work.
6.   Names and contact information to two reference persons.

More information
For further information contact the Principal Investigator of the project, Dr. Nicolò Maccaferri nicolo.maccaferri@umu.se

You apply via our e-recruitment system Varbi. The application should be in English (preferrable) or Swedish. The deadline for applications is July 31st, 2022. Log in and apply via the button at the bottom of the page. All documents should be uploaded in pdf format. Shortlisted candidates will be contacted for online interviews.

We look forward to receiving your application!

Admission

October 1st, 2022 or according to agreement

Contact

Nicolò Maccaferri

090-7867595

Registration number

AN 2.2.1-1133-22

Salary

According to a local agreement for PhD students

Union representative

SACO

090-7865365

SEKO

090-7865296

ST

090-7865431

Read the job description at the university homepage

Apply

before 2022-07-31

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 July 31st, 2022

PhD student in Computational Science and Engineering with focus on Optimization for Federated Machine Learning

Institutionen för datavetenskap

Apply

before 2022-08-14

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

To our department, characterized by world-leading research in several scientific fields and a multitude of educations ranked highly in international comparison, we now look for a doctoral student in computational science and engineering with a focus on optimization for federated machine learning. 

The Department of Computing science has been growing rapidly in recent years where focus on an inclusive and bottom-up driven environment are key elements in our sustainable growth. The 50 doctoral students within the department form of a diverse group from different nationalities, background and fields. If you work as a doctoral student with us you receive the benefits of support in career development, networking, administrative and technical support functions along with excellent employment conditions. See more information at:
https://www.umu.se/en/department-of-computing-science/

Is this interesting for you? Welcome with your application before 14th of August 2022.

Project description 

Because of privacy concerns around user data, and related legislation around handling user data, there has been an increased interest in using edge devices such as mobile phones, to process user data without storing them at a central location. This has also been a major concern in privacy-sensitive areas such as in medical applications of machine learning, where sharing patient data between hospitals raises privacy issues since patient data virtually always contain private information.

There has therefore been much interest lately in federated learning, a class of optimization algorithms used mainly to train a global machine learning model at disparate heterogeneous sites without sharing data between the sites. It is possible to frame federated learning as an operator splitting problem, and within the operator splitting framework, it is possible to simultaneously solve many of the problems that arise when training large-scale machine learning models on e.g., medical images or other data from multiple sites.

The doctoral student position is offered within a research project financed by the Wallenberg AI, Autonomous Systems and Software Program (WASP). The project is a collaboration between Tommy Löfstedt, Docent and Associate Professor at the Department of Computing Science, Umeå University, and Alp Yurtsever, Assistant Professor at the Department of Mathematics and Mathematical Statistics, Umeå University.

The Wallenberg AI, Autonomous Systems and Software Program (WASP)

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://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. The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. 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. The graduate school 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. Read more: https://wasp-sweden.org/graduate-school 

Admission requirements 

The general admission requirements for doctoral studies are 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 computational science and engineering, the applicant is required to have completed at least 90 ECTS credits in relevant fields for computational science and engineering (mathematics, mathematical statistics, and computing science), of which at least 30 ECTS credits are at second-cycle level. Applicants who in some other system either within Sweden or abroad have acquired largely equivalent skills are also eligible. 

Candidates are expected to have very good knowledge in project related areas, and in particular to have a very strong documented background in optimization theory. A very good command of the English language is also a key requirement. The candidates must also have strong programming skills. Documented knowledge and experience in numerical methods, federated learning, and machine learning are merits.

Important personal qualities are good communication skills, the ability to work on your own as well as together with others, ability to quickly grasp new concepts and place them in context, to be creative, and to have a will to actively develop yourself to become a competent researcher.

The merits of a selected candidate will also be evaluated by WASP, who will consider the candidate’s grades in education programs of relevance with a focus on grades in courses that are at the core of WASP and the project area. WASP will also consider whether the candidate has a background and experiences within the WASP areas, and if the candidate is sufficiently motivated for PhD studies within WASP. These criteria are therefore also part of our criteria when ranking candidates.

About the position

The position provides you with the opportunity to pursue PhD studies in Computational Science and Engineering for four years, with the goal of achieving the degree of Doctor in Computational Science and Engineering with a specialization in Computing Science. While the position is mainly devoted to PhD studies (at least 80% of the time), it may include up to 20% department service (usually teaching). If so, the total time for the position is extended accordingly, resulting in a maximum of five years.

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.

The starting date is latest November 2022.

Application

Applications must be submitted electronically using the e-recruitment system of Umeå University.

A complete application should contain the following documents:

  • A cover letter including a description of your research interests, your reasons to apply for the position, why you are interested in the WASP doctoral school. The letter should include a (documented) description of how you fulfill the specified requirements, and should also contain your contact information.
  • A curriculum vitae (CV).
  • Certified copies of degree certificates (for both BSc and MSc, if applicable), including documentation of completed academic courses and obtained grades.
  • Copies of completed BSc and/or MSc theses and other relevant publications, if any.
  • Documentation and description of other relevant experiences or competences.
  • Contact information to three references.

The application must be written in English or Swedish. Attached documents in other languages should be translated. Attached documents must be in pdf format. Applications must be submitted electronically using the e-recruitment system of Umeå University and be received no later than 14th of August 2022.

The Department of Computing Science values gender diversity, and therefore particularly encourages women and those outside the gender binary to apply for the position.

For additional information, please contact associate professor Tommy Löfstedt (tommy.lofstedt@umu.se) or assistant professor Alp Yurtsever (alp.yurtsever@umu.se).

We look forward to receiving your application!

Admission

Starting date is latest November 2022

Contact

Tommy Löfstedt

tommy@cs.umu.se

Registration number

AN 2.2.1-1208-22

Salary

Monthly

Union representative

SACO

090-7865365

SEKO

090-7865296

ST

090-7865431

Read the job description at the university homepage

Apply

before 2022-08-14

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 14th, 2022

PhD student in mathematics within the WASP AI programme

Institutionen för matematik och matematisk statistik

Apply

before 2022-08-15

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

The Department of Mathematics and Mathematical Statistics is opening a PhD position in mathematics, focusing on geometric deep learning. The position involves four years of doctoral studies, including participation in research and postgraduate courses. The last day to apply is August 15, 2022.

Project description and tasks
Deep learning models, particularly deep convolutional neural networks (CNNs), have enjoyed tremendous success on an impressive number of complex problems. However, a fundamental understanding of the mathematical descriptions of the models and their extensions to non-flat data are still lacking, presenting an exciting research problem spanning several areas such as differential geometry, numerical analysis, and dynamical systems.

A promising approach, referred to as geometric deep learning, is to account for the geometry of the input data by making the networks equivariant with respect to the symmetries of the data. This means that a transformation of the input produces a corresponding transformation of the output. Making such geometric structures manifest amounts to incorporating prior knowledge of the system to facilitate learning.

Another development explores the connection to differential equations and dynamical systems in the limit of infinitely deep networks. Formulated in terms of the dynamics propagating information through the network, the learning problem becomes amenable to powerful numerical techniques for differential equations and a rich theory of dynamical systems.

The project aims to unify the two approaches and develop the mathematical foundations of the emerging field of neural differential equations by exploring the connection to geometric deep learning. The objective is to develop a manifestly geometric formulation of equivariant neural differential equations, unifying symmetries of the data manifold and symmetries of the differential equations, and to investigate the properties and applications of such a formulation.

The project is a part of the AI-Math track within Wallenberg AI, Autonomous Systems and Software Program (WASP). The PhD student will participate in the WASP graduate school, see https://wasp-sweden.org/graduate-school/

Qualifications
The doctoral student will be admitted for studies at third-cycle level in Mathematics. To fulfil the general entry requirements, the applicant must have qualifications equivalent to a completed degree at second-cycle level or completed course requirements of at least 240 ECTS credits, including at least 60 ECTS credits at second-cycle level.

To fulfil the specific entry requirements to be admitted for studies at third-cycle level in mathematics, the applicant must have completed at least 60 ECTS credits within the field of mathematics, of which at least 15 ECTS credits shall have been acquired at second-cycle level. Applicants in some other system, either within Sweden or abroad, who have acquired largely equivalent skills are also eligible.

Good programming skills (preferably Python) and a good knowledge of the English language, both written and spoken, are required. Documented knowledge and experience in machine learning, differential equations, differential geometry or related areas are merits.

You are expected to take on an active role in developing this doctoral project and in departmental work. Therefore, you are expected to have excellent communication and collaboration skills. You have a scientific mindset, can work independently, and are structured, flexible and solution-oriented. Above all, you are analytical, creative, and committed to continuously developing your skills and contributing to the mathematical foundations of machine learning.

Assessments of the applicants are based on their qualifications and ability to benefit from the doctoral study they will receive.

About the position
The position is intended to result in a doctoral degree. The main task of the doctoral student is to pursue their doctoral studies, including active participation in research and doctoral courses, and participate in the WASP graduate school. The duties may include teaching or other departmental work (up to 20%). The employment is limited to four years of full-time (48 months) or up to five years when teaching part-time. Salary is set by the established salary ladder for PhD positions at Umeå University. The employment starts in January 2023 or according to an agreement.

Application
Application is made through our recruitment system by August 15, 2022. Log in and apply via the button at the bottom of the page. The application must consist of the following documents written in English or Swedish:

  • Personal letter with a brief description of your qualifications and research interests. Justify why you are applying for the position and describe how your qualifications and merits are relevant to the employment.
  • Curriculum vitae.
  • Authenticated copies of degree certificates, diplomas or equivalent, including documentation of completed academic courses, received grades, and possibly other certificates.
  • Copies of relevant work such as master’s thesis or articles you have authored or co-authored. If the master’s thesis has not been completed before the application deadline, a summary of the master’s thesis project and current progress shall be included. The summary can be at most five pages, including figures and references.
  • GMAT (or GRE) and TOEFL/IELTS test scores, if available.
  • Contact information to at least two reference persons.

The Department of Mathematics and Mathematical Statistics values the qualities that a gender balance brings to the department, and therefore we 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.

More information
Further information can be provided by Associate Professor Fredrik Ohlsson (fredrik.ohlsson@umu.se) or Professor Jun Yu (jun.yu@umu.se). You can also contact the Head of Department Professor Åke Brännström (ake.brannstrom@umu.se), for additional information.

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

We look forward to receiving your application!

Contact

Fredrik Ohlsson, universitetslektor

090-7865389,fredrik.ohlsson@umu.se

Jun Yu, professor

090-7865127,jun.yu@umu.se

Registration number

AN 2.2.1-1163-22

Union representative

SACO

090-7865365

SEKO

090-7865296

ST

090-7865431

Read the job description at the university homepage

Apply

before 2022-08-15

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 Monday August 15th, 2022

Post doctor (2 years) within Financial Mathematics

Institutionen för matematik och matematisk statistik

Apply

before 2022-08-15

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

The Department of Mathematics and Mathematical Statistics at Umeå University is opening a postdoctoral position in Financial Mathematics focusing on the pricing of commodity futures and options contracts in the context of seasonality.  Last day to apply: August 15, 2022.

The appointment is for two years at the Department of Mathematics and Mathematical Statistics. The successful candidate is expected to take on the research question with enthusiasm and high ambitions, actively engage with collaborators, and to participate in the daily activities of the research environment. Starting date can be at Janury 1, 2023 with some flexibility (earlier or later is possible).

Project description and working tasks 
Our investigation will build up on benchmark multi-factor models from the commodities  futures pricing literature, but clearly distinguishing the different channels that can create seasonality, spot price and preferences. We will link the preference channel to utility-based determination of risk premia, using the well-known utility indifference pricing approach. There are two key elements that can (and need) to be implemented within this approach:

  • time varying instantaneous risk-aversion
  • non-wealth factors that affect investors utility (e.g. sentiments)

The pricing kernels obtained from this approach will be assessed against the pricing kernels of known multi-factor models. By doing so, some indication on which seasonal patterns may present market anomalies and arbitrages may be obtained. In the context of time varying instantaneous risk aversion there is scope here for deeper mathematical considerations involving the Malliavin calculus and time consistency issues.

In a further step, we investigate the possibility of market anomalies and arbitrages more directly. This will involve the concept of statistical arbitrage. Here there is scope for application of machine learning techniques.

The project offers opportunities for interdisciplinary collaborations with partners in the UK, Germany, Norway and the USA as well as links to the financial industry.

The successful applicant will be given an opportunity to develop a teaching portfolio contributing up to 20% of the total working time, but this is not a requirement.

Qualifications 
To be appointed under the postdoctoral agreement, the postdoctoral fellow is required to have completed a doctoral degree or a foreign degree deemed equivalent to a doctoral degree. This qualification requirements must be fulfilled no later than at the time of the appointment decision. To be appointed under the postdoctoral agreement, priority should be given to candidates who completed their doctoral degree no later than three years prior. If there are special reasons, candidates who completed their doctoral degree prior to that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Postdoctoral fellows who are to teach or supervise must have taken relevant courses in teaching and learning in higher education.

Documented knowledge and proven experience in working with multifactor models in financial mathematics is required. Excellent programming skills in MATLAB and excellent communication skills in written and spoken English are also required. The research tasks require great independence, accuracy, and dedication. A track record of publication and experience in financial mathematics is a strong merit. Documented scientific momentum and the ability to work independently as well as part of a research group are merits. Experience of interdisciplinary research projects and cross-disciplinary collaboration, in particular within the specific application area, is an advantage.

Application 
A complete application should include:

  • A cover letter (2 pages max) describing yourself, your previous research achievements and your own ideas about the project.
  • Curriculum vitae (CV) with publication list.
  • Verified copy of doctoral degree certificate or documentation that clarifies when the degree of doctor is expected to be obtained.
  • Verified copies of other diplomas, list of completed academic courses and grades.
  • Copy of doctoral thesis and up to 3 relevant articles.
  • Other documents that the applicant wishes to claim.
  • Contact information to two persons willing to act as references.

The application must be written in English or Swedish. The application is made through our electronic recruitment system. Documents sent electronically must be in Word or PDF format. Log in to the system and apply via the button at the end of this page. The closing date is August 15, 2022.  

More information
Further details are provided by Professor Christian Ewald (research project lead), christian.ewald@umu.se  or Professor Åke Brännström (head of department), ake.brannstrom@umu.se

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

Contact

Christian Ewald, professor

christian.ewald@umu.se,090-7867314

Åke Brännström, prefekt

ake.brannstrom@umu.se,090-7867862

Registration number

AN 2.2.1-1140-22

Union representative

SACO

090-7865365

SEKO

090-7865296

ST

090-7865431

Read the job description at the university homepage

Apply

before 2022-08-15

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 Monday August 15th, 2022

Phd position in informatics

Institutionen för informatik

Apply

before 2022-08-15

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

The ongoing digitalization of the real estate industry is of major strategic interest for both the industry itself and on the national level, as the implementation of digital technology, such as sensor-based systems (Internet of Things, IoT) are prompting real estate firms to explore new avenues for value creation and at the same time improve energy efficiency with the expectation of reaching targeted sustainability goals. The implementation of sensor technology has received considerable attention in practice, but not garnered as much attention in research, especially not from an organizational or managerial perspective. This PhD position is focused on the real estate industry’s digital transformation and intends to map and analyze the new opportunities, challenges, values ​​and practices that are created through the introduction of IoT. The purpose is to be able to contribute knowledge about how organizations consciously and strategically use new digital technology in combination with existing resources to change existing operations and achieve sustainability goals.

The doctoral student position is linked to the MIT graduate school, where the doctoral student takes part of courses and participates in doctoral student conferences at other universities. The employment is also linked to the research environment Swedish Center for Digital Innovation (www.scdi.se) which is located at the Department of Informatics. The research at the center is largely carried out in collaboration with partners from business, research institutes and other universities and schools.

The employment
You will be employed by and admitted at the doctoral programme at the Department of Informatics, Umeå University. The employment runs for four years full-time which corresponds to four years of full-time studies (240 higher education credits) and means that you complete your doctoral studies within the department with a doctoral degree as a goal. The employment can include up to 20% of other activities (eg teaching). Salary is paid according to an established agreement for doctoral positions. The employments starts in autumn 2022. For this position, you are expected to perform your work at Umeå University Campus.

Eligibility
The applicants must have a degree at advanced level in informatics or equivalent. Basic eligibility for admission to doctoral education is a completed degree at advanced level or completed course requirements of at least 240 higher education credits, which of at least 60 credits at an advanced level, or in some other way within or outside the country acquired essentially equivalent knowledge. In order to meet the requirement for special eligibility to be admitted to doctoral education in informatics, the applicant must have a university education in informatics of at least 90 credits, and 60 credits on advanced level in informatics (master’s level) or other education of equivalent scope and specialization. The requirements are also considered to be met by those who in other ways, within or outside the country, have acquired substantially equivalent knowledge.

Other qualifications
Since the doctoral student is expected to conduct studies and interviews in Sweden and at the same time will be part of a multicultural institution, an ability to communicate well in both Swedish and English is important. In selection among eligible applicants, great emphasis is placed on the ability to assimilate the education, previous study results and the quality of the submitted research plan. In other aspects, reference is made to agreement on employment as a doctoral student (Chapter 5) and access to education (Chapter 7) in the Higher Education Ordinance.

Application
The application must include:
• An introductory letter / personal letter (1 page)
• Research proposal (research sketch) presenting your research ideas (2 pages)
• Curriculum Vitae (CV)
• Copies of previous degrees (MSc / MA and / or BSc / BA)
• Copies of study grades including documentation of completed academic courses and grades and other merits
• Copies of published own research and thesis (if any) • Contact information for two reference persons

The application must be complete for it to be processed in the recruitment process. The application must be made via the e-recruitment system Varbi.

Admission

Autumn 2022

Contact

Katrin Jonsson

090-7869387

Ulrika H. Westergren

090-7867467

Tina Lundmark

090-7866438

Registration number

AN 2.2.1-998-22

Salary

Montly Salary

Union representative

SACO

090-7865365

SEKO

090-7865296

ST

090-7865431

Read the job description at the university homepage

Apply

before 2022-08-15

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 Monday August 15th, 2022

PhD position in Mathematics with focus on Matematical Finance and Economics

Institutionen för matematik och matematisk statistik

Apply

before 2022-08-15

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

The Department of Mathematics and Mathematical Statistics is opening a PhD position in mathematics focusing on Financial Mathematics. The position involves four years of doctoral studies, including participation in research and postgraduate courses. The last day to apply is August 15th, 2022.

Project description and tasks
This project looks at the valuation of real options in the presence of multiple agents and strategic competition; a framework often referred to as real option games. Classical literature argues that a strategic element in real options erodes the option value, leading to a suboptimal equilibrium. Some mechanisms that reduce this effect have been discussed recently, specifically information and noise by Lambrecht as well as complementarity and cooperation. However, in recent work the supervisor showed, that access to financial markets with specifically designed structured products can alter the decision making to move away from inefficient equilibria. In the context of this research proposal, we will build on a classical setup where companies compete for projects and make investment decisions accordingly and add a market in which shares and other derivatives products on the various companies are traded. We allow the companies to trade in these and run a portfolio alongside their own business. We will study the effects on equilibria and investigate applications in resource economics and corporate finance. The modelling will be undertaken preferably in continuous time, but some of the work may also require discrete-time modelling.

Qualifications
The doctoral student will be admitted for studies at third-cycle level in subject Mathematics. 

To fulfil the general entry requirements, the applicant must have qualifications equivalent to a completed degree at second-cycle level or completed course requirements of at least 240 ECTS credits, including at least 60 ECTS credits at second-cycle level. To fulfil the specific entry requirements to be admitted for studies at third-cycle level in mathematics, the applicant is required to have completed at least 60 ECTS credits within the field of mathematics, of which at least 15 ECTS credits shall have been acquired at second-cycle level. Applicants who have acquired largely equivalent skills in some other system, either within Sweden or abroad, are also eligible. 

Good skills in programming (preferably MatLab, Python or R) are required. Good knowledge of both written and spoken English is also a requirement. Documented knowledge and experience in numerical methods, stochastic optimal control, optimal stopping, and financial derivatives or closely related areas are merits.   

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

Assessments of the applicants are based on their qualifications and ability to benefit from the doctoral study they will receive.

About the employment
The position is intended to result in a doctoral degree. The main task of the doctoral student is to pursue their doctoral studies, including active participation in research and doctoral courses. The duties may include teaching or other departmental work (up to 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 ladder for PhD positions at Umeå University. The employment starts on September 1, 2022, or according to mutual agreement.

Application
Application is made through our recruitment system by August 15, 2022. Log in and apply via the button at the bottom of the page. The application must consist of the following documents written in English or Swedish:

  • Personal letter with a brief description of your qualifications and research interests. Justify why you are applying for the position and describe how your qualifications and merits are relevant to the project. Ideally, summarise your ideas and thoughts on the project — a maximum of two pages.
  • Curriculum vitae.
  • Authenticated copies of degree certificates, diplomas or equivalent, including documentation of completed academic courses, received grades, and possibly other certificates.
  • Copies of relevant work such as master’s thesis or articles you have authored or co-authored. If the master’s thesis has not been completed before the application deadline, a summary of the master’s thesis project and current progress shall be included. The summary can at most be five pages, including figures and references.
  • GMAT (or GRE) and TOEFL/IELTS test scores, if available.
  • Contact information for two references.

The Department of Mathematics and Mathematical Statistics values the qualities that a gender balance brings to the department, and therefore we particularly encourage female applicants.

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

More information
Professor Christian Ewald (christian.ewald@umu.se) provides more information about the position.

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

Admission

2022-09-01 eller enligt överenskommelse

Contact

Christian Ewald, professor

090-7867614

Registration number

AN 2.2.1-1161-22

Salary

Månadslön

Union representative

SACO

090-7865365

SEKO

090-7865296

ST

090-7865431

Read the job description at the university homepage

Apply

before 2022-08-15

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 Monday August 15th, 2022

Post doctor in machine learning for single-cell data analysis

Institutionen för molekylärbiologi

Apply

before 2022-08-28

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

The Department of Molecular Biology seeks a postdoctoral scientist to work with varational autoencoders to model gene isoforms in single-cell data. The position is funded by the Medical Faculty.  

Department of Molecular Biology

The Department of Molecular Biology has about 200 employees. The department’s main tasks involve research, graduate education, and undergraduate education as well as interactions with the community. Affiliated with both the Faculty of Science and Technology and the Faculty of Medicine, the department’s research and education activity includes several molecular biological areas within science and medicine: cell biology, microbiology, infection biology, tumour biology and neurobiology in conjunction with the use of genetic model organisms (except plants). The department offers a vital research environment with a broad setup of modern imaging, metabolomics, genomics and screening facilities.


Project description and working tasks

Gene isoforms play key roles in disease etiology and outcome. Despite that gene isoforms are involved in most biological processes, they are commonly ignored because we lack tools to understand them. In this project we will build new large-scale machine learning tools to extract gene isoform information from commonly existing single-cell RNA-seq data.

The approach we consider is based on variational autoencoders and sequence models. The challenges lie in the data being extremely large, sparse, and noisy. The project will open doors into the currently most rapidly expanding field in biology.

You will carry out formulation, implementation and testing of machine learning approaches to model and understand single-cell RNAseq data. You will present your findings, write manuscripts, help supervising students, and actively contribute to a collegial lab culture.

You will be based in the lab of Johan Henriksson (www.henlab.org) in collaboration with the machine learning group of Associate Professor Tommy Löfstedt. The Henriksson lab is based at the Department of Molecular Biology and is part of The Laboratory of Molecular Infection Medicine Sweden (MIMS, www.mims.umu.se), which is the Swedish node within the Nordic EMBL Partnership for Molecular Medicine. The project is run in close collaboration with Tommy Löfstedt, docent and associate professor and head of the machine learning group at the Department of Computing Science.


Eligibility 

A person who has been awarded a doctorate in relevant subject area or a foreign qualification deemed to be the equivalent of a doctorate qualifies for employment as a postdoctoral fellow. This eligibility requirement must be met no later than the time at which the appointment decision is made.

Postdoctoral fellows who are to teach or supervise must have taken relevant courses in teaching and learning in higher education.

You should be highly motivated and able to work productively in a team as well as independently. Excellent communication skills for interacting effectively with senior colleagues and peers are required. Proficiency in written and spoken English also required. Great emphasis will be placed on personal suitability.

A successful candidate should be familiar with Python and at least one framework for deep learning (e.g. PyTorch or TensorFlow/Keras). The candidate should have documented experience in machine learning or mathematical/statistical modelling.


Additional useful qualifications 

Since appointment as a postdoctoral researcher is a career-development position for junior researchers, we are primarily interested in applicants who completed their doctoral degree no more than three years before the application deadline. If there are special reasons, an applicant who has completed their degree earlier than that may be considered. Special reasons include absence due to illness, parental leave, clinical practice, appointments of trust for a trade union organisation or other similar circumstances, and for relevant duties/assignments within the subject area.

Experience in basic biology, and especially sequence analysis, or experience in single-cell analysis is a merit.


More information about the position

The appointment is a full-time, fixed-term position for two years in accordance with the terms of contract for fixed-term employment as a postdoctoral researcher. Access as soon as possible or by agreement.


Application

A full application should include:

  • An introductory letter including a 2-page statement of research interests relative to the above topics and a motivation of why your expertise is appropriate for the position.
  • Curriculum vitae (CV) with publication list,
  • Certified copy of doctoral degree certificate,
  • Certified copies of other diplomas, list of completed academic cources and grades,
  • Copy of doctoral thesis and relevant scientific papers,
  • Contact information for at least two reference persons,
  • Other documents that the applicant wishes to claim.

We will ensure that the formal requirements are met and that we have sufficient information to adequately rank eligible candidates.

The application must be written in English. The application is made through our electronic recruitment system. Documents sent electronically must be in PDF format. Log in to the system and apply via the button at the end of this page. The closing date is 2022-05-26.

Further details are provided by Johan Henriksson, johan.henriksson@umu.se
and Tommy Löfstedt, tommy.lofstedt@umu.se

We look forward to receiving your application!


More about us

The Henriksson lab is part of the Laboratory for Molecular Infection Medicine Sweden (MIMS), the Swedish Node of the Nordic EMBL Partnership for Molecular Medicine, and part of the Umeå Centre for Microbial Research (UCMR), an interdisciplinary research centre devoted to top quality research and novel applications in the field of microbiology. You can find more information about us at http://henlab.org/, www.mims.umu.se and www.ucmr.umu.se. For questions regarding the position, please contact the project supervisors: Johan Henriksson (johan.henriksson@umu.se) or Tommy Löfstedt (tommy.lofstedt@umu.se).

For more information about The Department of Molecular Biology please visit our web page www.umu.se/en/department-of-molecular-biology or for The department of Computing science, https://www.umu.se/en/department-of-computing-science/.

Admission

As soon as possible or by agreement

Contact

Johan Henriksson

johan.henriksson@umu.se

Tommy Löfstedt

tommy.lofstedt@umu.se

Registration number

AN 2.2.1-819-22

Salary

Monthly salary

Union representative

SACO

090-7865296

SEKO

090-7865431

ST

090-7865431

Read the job description at the university homepage

Apply

before 2022-08-28

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 28th, 2022

PhD position in political science with a focus on Transformation, Riskification and Geopolitics in the Arctic

Statsvetenskapliga institutionen

Apply

before 2022-08-05

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

The Department of Political Science is recruiting a doctoral student in political science with a focus on Transformation, Riskification and Geopolitics in the Arctic. Starting date September 1, 2022 or by agreement.

The aim of this doctoral project is to contribute with new empirical insights into political drivers in the development of the Arctic and to increase our contextual understanding by way of international concepts facilitating cross-disciplinary dialogue. The climate crisis and increasing competition over natural resources and security solutions challenge established forms of cooperation in the region and by extension the global goals of sustainability, for example as these are expressed Agenda 2030. The Arctic lacks an obvious center of gravity while the effects of transformation are unevenly distributed. Actors calculate risk under the influence of different geopolitical connotations. Who among the many actors involved have the power to influence Arctic transformation? Is it conceivable to arrive at a sustainable agenda, not broken by groups of optimists, skeptics and deniers?

As a doctoral student, you will be part of an interdisciplinary context with affiliation to both your own department and the Arctic graduate school with a focus on sustainable development.

Here you can read more about the Arctic graduate school at Arcum (link).

The employment

A position as a doctoral student in the doctoral program amounts to four years of full-time studies (240 higher education credits). A Ph.D. student can also participate in teaching or other departmental activities up to 20% of the time. In such cases, the employment is extended corresponding to this time, at most by a year.

Further information about the department’s doctoral education in political science, which is based on the general study plan, is available at: https://www.umu.se/en/department-of-political-science/education/doctoral-studies/

The student will work in Umeå and the teaching takes place on the campus area. Active participation in the department’s activities and involvement in the activities is expected.

Eligibility

To possess basic eligibility, the applicant should hold an advanced degree, have completed studies equivalent to at least 240 higher education credits, of at least 60 credits at an advanced level and at least 90 credits within Political Science. Persons who in some other manner, in Sweden or abroad, have acquired skills that are equivalent to this requirement can ask to be considered eligible

Requirements

Your competence is assessed on the basis of suitability for the doctoral program.
 
The selection of eligible applicants will be based on:
• ability to assimilate the education
• previous academic study results
• the quality of the submitted research plan, in relation to the focus of the advertised doctoral position
 
The following assessment criteria are considered, examining the ability to assimilate the education:
• analytical ability
• communicative ability, written and oral
• critical ability
• independence
• performance within given time frames
 
Applicants must be proficient in both oral and written communication in English.
 
Application

You apply via our recruitment system Varbi.
 
A complete application must include:

  • A cover letter summarizing your qualifications, scientific interests and motives for applying (max two pages)
  • Research proposal of 3-5 pages with a discussion of possible problems, purpose, theory and empirical data
  • CV / curriculum vitae
  • Copies of grades and diplomas at least one (but not more than three)
  • Essays / degree projects (C- and master’s / master’s thesis), written in English or Swedish
  • Contact information for one or more reference persons, alternatively two reference letters
  • Any other merits of relevance for the position

Umeå University will offer a salary according to the current salary order for doctoral studies. The entry level is currently 29 000 SEK per month. According to the Higher Education Ordinance (Chapter 12, Section 2), the decision on employment cannot be appealed.

About the Department of Political Science

The Department of Political Science at Umeå University has about 70 employees. The department conducts undergraduate education and research in political science and peace and conflict studies. For more information, see https://www.umu.se/en/department-of-political-science/.

Formalities for the application are stated in this advertisement, but any questions can also be asked via e-mail Postgraduate programme coordinator Torbjörn Bergman at torbjorn.bergman@umu.se or head of department Magnus Blomgren at magnus.blomgren@umu.se. For more information about the project please contact Professor Niklas Eklund, niklas.eklund@umu.se, Professor Camilla Sandström, camilla.sandstrom@umu.se
 
We look forward to your application!

Admission

1 sept eller enligt överenskommelse

Contact

Niklas Eklund, professor

niklas.eklund@umu.se

Camilla Sandström, professor

camilla.sandstrom@umu.se

Magnus Blomgren, prefekt

090-7866171

Registration number

AN 2.2.1-772-22

Salary

Månadslön

Union representative

SACO

090-7865365

SEKO

090-7865296

ST

090-7865431

Read the job description at the university homepage

Apply

before 2022-08-05

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 Friday August 5th, 2022