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Postdoctoral Research Fellow in Machine Learning
UiT Norges arktiske universitet
Hansine Hansens veg18, 9019 TROMSØ
16. september 2025
UN
Postdoctoral Research Fellow in Machine Learning
UiT Norges arktiske universitet
TROMSØ
16. september 2025
Om stillingen
An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology. The positions aim is to develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data.
General information about the position.
The position is a fixed term position for a duration of 3 years. Appointment to the position of Postdoctoral Research Fellow is mainly intended to provide qualification for work in top academic positions. It is a prerequisite that the applicant can carry out the project over the full course of the employment period. No person may hold more than one fixed term position as a Postdoctoral Research Fellow at the same institution.
The workplace is at UiT in Tromsø. You must be able to start in the position within 6 months after receiving the offer. Starting will be Spring/Fall 2026.
The position is offered in the context of a UiT grant that focuses on modeling spatio-temporal medical image analysis with a particular focus on learning from limited labelled data. The successful candidate will be a part of the UiT Machine Learning Group and will also be affiliated with the Center for Research-based Innovation Visual Intelligence.
In this context, we are seeking a candidate to take an active role in the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over time, with emphasis on dynamic PET imagery and ultrasound. A special focus will be given to learning from limited labeled data (e.g. few-shot and self-supervised learning and clustering). The position will be part of the already ongoing effort to design new deep learning methodology for spatio-temporal medical image analysis [1, 2] and fundamental research within learning from limited labels [3,4].
For further information about the position and UiT is available by contacting the principal supervisor and project leader Associate Professor Kristoffer Wickstrøm:
This position requires:
Special emphasis will be given to candidates with prior experience in the above-mentioned topics as well as the quality of prior publications. Experience in biomedical interdisciplinary work is a plus.
We are looking for a candidate who:
The main purpose of postdoctoral research fellowships is to qualify researchers for work in top academic positions within their discipline and this requires a strong commitment from the candidate.
In the assessment the main emphasis will be attached to the submitted works and the project proposal for the qualifying work. Emphasis shall also be attached to experience from popularization/dissemination and academic policy and administrative activity.
At UiT we put emphasis on the quality, relevance and significance of the research work and not on where the work is published, in accordance with the principles of The San Francisco Declaration on Research Assessment (DORA).
Location The UiT Machine Learning Group is located in Tromsø, a lively town with approximately 75.000 inhabitants. It is known for its beautiful scenery, northern lights, midnight sun, as well as the northernmost university in the world and well connected to the rest of Europe. Located on an island surrounded by fjords and mountains, Tromsø is a major cultural hub within the Arctic Circle and a great spot for outdoor activities (hiking, skiing, etc.).
Norwegian health policy aims to ensure that everyone, irrespective of their personal finances and where they live, has access to good health and care services of equal standard. As an employee you will become member of the National Insurance Scheme which also include health care services.
More practical information for working and living in Norway can be found here: https://uit.no/staffmobility
UiT The Arctic University i Norway is working actively to promote equality, gender balance and diversity among employees and students, and to create an inclusive and safe working environment. We believe that inclusion and diversity is a strength, and we want employees with different competencies, professional experience, life experience and perspectives.
If you have a disability, a gap in your CV or immigrant background, we encourage you to tick the box for this in your application. If there are qualified applicants, we invite least one in each group for an interview. If you get the job, we will adapt the working conditions if you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics.
Your application must include:
If you're in the final stages of your PhD, you may still apply for the position, provided that you submit parts of your dissertation along with your application. This enables the evaluation committee to assess the quality and likelihood of completion by the desired employment date. You must include a statement from your supervisor or institution stating the expected completion date for your PhD degree. Documentation of your completed PhD degree must be submitted before commencement.
All documentation to be considered must be in a Scandinavian language or English. (If English proficiency is not documented in the application, it must be documented before starting in the position). We only accept applications and documentation sent via Jobbnorge within the application deadline.
The applicants will be assessed by an expert committee. The committee's mandate is to undertake an assessment of the applicants' qualifications based on the written material presented by the applicants, and the detailed description draw up for the position. A copy of the assessment report will be sent to all applicants.
The applicants who are assessed as best qualified will be called to an interview. The interview should among other things, aim to clarify the applicant’s motivation and personal suitability for the position. A trial lecture may also be held.
The appointment is made in accordance with State regulations and guidelines at UiT. At our website, you will find more information for applicants.
The engagement is to be made in accordance with 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. After the appointment you must assume that there may be changes in the area of work.
The remuneration for Postdoctoral research fellow is in accordance with the State salary scale code 1352. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. You will become a member of the Norwegian Public Service Pension Fund, which gives you many benefits in addition to a lifelong pension: You may be entitled to financial support if you become ill or disabled, your family may be entitled to financial support when you die, you become insured against occupational injury or occupational disease, and you can get good terms on a mortgage. Read more about your employee benefits at: spk.no.
The successful candidate must be willing to get involved in the ongoing development of their department and the university as a whole.
UiT wishes to promote gender equality. If two or more applicants are found to be equally qualified, the university will rank applicants from the underrepresented gender ahead of others.
According to the Norwegian Freedom and 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.
Om bedriften
Tittel
Postdoctoral Research Fellow in Machine Learning
Oppstart
Type engasjement
Åremål
Sektor
Offentlig
Omfang
Heltid
Antall stillinger
1
Del annonsen
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Om stillingen
An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology. The positions aim is to develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data.
General information about the position.
The position is a fixed term position for a duration of 3 years. Appointment to the position of Postdoctoral Research Fellow is mainly intended to provide qualification for work in top academic positions. It is a prerequisite that the applicant can carry out the project over the full course of the employment period. No person may hold more than one fixed term position as a Postdoctoral Research Fellow at the same institution.
The workplace is at UiT in Tromsø. You must be able to start in the position within 6 months after receiving the offer. Starting will be Spring/Fall 2026.
The position is offered in the context of a UiT grant that focuses on modeling spatio-temporal medical image analysis with a particular focus on learning from limited labelled data. The successful candidate will be a part of the UiT Machine Learning Group and will also be affiliated with the Center for Research-based Innovation Visual Intelligence.
In this context, we are seeking a candidate to take an active role in the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over time, with emphasis on dynamic PET imagery and ultrasound. A special focus will be given to learning from limited labeled data (e.g. few-shot and self-supervised learning and clustering). The position will be part of the already ongoing effort to design new deep learning methodology for spatio-temporal medical image analysis [1, 2] and fundamental research within learning from limited labels [3,4].
For further information about the position and UiT is available by contacting the principal supervisor and project leader Associate Professor Kristoffer Wickstrøm:
This position requires:
Special emphasis will be given to candidates with prior experience in the above-mentioned topics as well as the quality of prior publications. Experience in biomedical interdisciplinary work is a plus.
We are looking for a candidate who:
The main purpose of postdoctoral research fellowships is to qualify researchers for work in top academic positions within their discipline and this requires a strong commitment from the candidate.
In the assessment the main emphasis will be attached to the submitted works and the project proposal for the qualifying work. Emphasis shall also be attached to experience from popularization/dissemination and academic policy and administrative activity.
At UiT we put emphasis on the quality, relevance and significance of the research work and not on where the work is published, in accordance with the principles of The San Francisco Declaration on Research Assessment (DORA).
Location The UiT Machine Learning Group is located in Tromsø, a lively town with approximately 75.000 inhabitants. It is known for its beautiful scenery, northern lights, midnight sun, as well as the northernmost university in the world and well connected to the rest of Europe. Located on an island surrounded by fjords and mountains, Tromsø is a major cultural hub within the Arctic Circle and a great spot for outdoor activities (hiking, skiing, etc.).
Norwegian health policy aims to ensure that everyone, irrespective of their personal finances and where they live, has access to good health and care services of equal standard. As an employee you will become member of the National Insurance Scheme which also include health care services.
More practical information for working and living in Norway can be found here: https://uit.no/staffmobility
UiT The Arctic University i Norway is working actively to promote equality, gender balance and diversity among employees and students, and to create an inclusive and safe working environment. We believe that inclusion and diversity is a strength, and we want employees with different competencies, professional experience, life experience and perspectives.
If you have a disability, a gap in your CV or immigrant background, we encourage you to tick the box for this in your application. If there are qualified applicants, we invite least one in each group for an interview. If you get the job, we will adapt the working conditions if you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics.
Your application must include:
If you're in the final stages of your PhD, you may still apply for the position, provided that you submit parts of your dissertation along with your application. This enables the evaluation committee to assess the quality and likelihood of completion by the desired employment date. You must include a statement from your supervisor or institution stating the expected completion date for your PhD degree. Documentation of your completed PhD degree must be submitted before commencement.
All documentation to be considered must be in a Scandinavian language or English. (If English proficiency is not documented in the application, it must be documented before starting in the position). We only accept applications and documentation sent via Jobbnorge within the application deadline.
The applicants will be assessed by an expert committee. The committee's mandate is to undertake an assessment of the applicants' qualifications based on the written material presented by the applicants, and the detailed description draw up for the position. A copy of the assessment report will be sent to all applicants.
The applicants who are assessed as best qualified will be called to an interview. The interview should among other things, aim to clarify the applicant’s motivation and personal suitability for the position. A trial lecture may also be held.
The appointment is made in accordance with State regulations and guidelines at UiT. At our website, you will find more information for applicants.
The engagement is to be made in accordance with 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. After the appointment you must assume that there may be changes in the area of work.
The remuneration for Postdoctoral research fellow is in accordance with the State salary scale code 1352. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. You will become a member of the Norwegian Public Service Pension Fund, which gives you many benefits in addition to a lifelong pension: You may be entitled to financial support if you become ill or disabled, your family may be entitled to financial support when you die, you become insured against occupational injury or occupational disease, and you can get good terms on a mortgage. Read more about your employee benefits at: spk.no.
The successful candidate must be willing to get involved in the ongoing development of their department and the university as a whole.
UiT wishes to promote gender equality. If two or more applicants are found to be equally qualified, the university will rank applicants from the underrepresented gender ahead of others.
According to the Norwegian Freedom and 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.
Relaterte stillinger
Om bedriften