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PhD Candidate in AI-assisted medical imaging with MRI

NTNU


Job Location:

Trondheim - Norway

Yearly Salary: NOK 550800 - 550800
Posted: 18 September 2026 (Yesterday)
Application Deadline: 16 December 2026
Vacancies: 1 Vacancy

Job Summary

PhD Candidate in AI-assisted medical imaging with MRI

The Department of Physics has a vacancy for a

Are you motivated to take a step towards a doctorate and open up exciting career opportunities

As a PhD Candidate with us you will work to achieve your doctorate and at the same time gain valuable experience that qualifies you for a further career in higher education and research in and outside academia.

This is NTNU

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

At NTNU 9000 employees and 43000 students work to create knowledge for a better world.

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

About the position

We have a vacant 100% PhD position in the MRI Physics Group at the Department of Physics NTNU.

The project is an interdisciplinary collaboration between theMRI Physics Group and theX-ray Physics Group at the Department of the MRI Physics Group we aim to improve image quality in medical imaging for diagnostic purposes and neuroscience research. Accurate and sensitive imaging is crucial for diagnosis research and monitoring of neurodegenerative diseases such as Multiple Sclerosis Alzheimers disease and ALS. Among other techniques we use functional MRI (fMRI) which is a method for measuring brain activity and connectivity between nerve cells.

MRI measurements can be affected by magnetic field inhomogeneities resulting in geometric distortion and signal loss in the images. The aim of the project is to investigate the potential of using Implicit Neural Representation (INR) a class of neural networks for reconstructing MR images directly from MR signals. By incorporating a physical model of the MR signal into the training of the INR network we aim to compensate for the effects of magnetic field inhomogeneities in the reconstructed images.

Initially this approach will be applied to functional MRI of the spinal cord based on data acquired using a high-field MRI system (7 Tesla). NTNU hosts Norways first and currently only 7T MRI system for clinical use and research. We will also investigate the broader potential of INR-based image reconstruction for various MRI applications including industrial applications in geology.

Your immediate leader will be the Head of Department.

Duties of the position
  • Simulate MRI data and model disturbances arising from various physical sources
  • Develop implement and train INR models for MRI time-series data
  • Analyze functional MRI data of the spinal cord
  • Present research findings in written form through academic publications
  • Present research findings orally and participate in international conferences
  • Assist with teaching activities

Be prepared for changes to your work duties after employment.

Required selection criteria
Preferred selection criteria
  • Experience with machine learning and neural networks
  • Basic knowledge of MR physics
  • Experience with signal processing and/or image processing
  • Experience with Linux systems and High Performance Computing
  • Good oral and written presentation skills in Norwegian / Scandinavian language is an advantage
Personal characteristics

To complete a doctoral degree (PhD) it is important that you are able to:

  • Show curiosity and a strong motivation for the subject
  • Work independently and together with colleagues from different fields of research
  • Work in a structured way set goals and make plans to achieve them
  • Analyze data assess different perspectives and draw well-founded conclusions
  • Present and discuss your research with other professionals

Emphasis will be placed on personal qualities.

We offer

As a PhD Candidate at NTNU you will have access toemployee benefits.

Diversity

Diversity is a strength and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the populations collective skills. Our vision isKnowledge for a better worldandour values are creative critical constructive and respectful. We believe that an organization that is equal diverse and gender-balanced is essential for us to achieve our goals.

We strive to attract employees with different skills life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education.

If you think this position is relevant and interesting we encourage you to apply regardless of gender functional ability and cultural background or whether you have been out of work for a period of time.

Salary and conditions

In the position of PhD Candidate code 1017 your gross salary will normally be NOK 550 800- per annum. A 2% statutory contribution to the State Pension Fund is deducted from the salary.

The employment period is3 years for the doctoral work with the possibility of an extension related to teaching duties upon agreement with the Department.

For employment as a PhD Candidate it is a prerequisite that you gain admission to the PhD programme inPhysics orBiophysics at the Faculty of Natural Sciences alternatively the PhD programme inMedical Technology at the Medical Faculty within three months of your employment contract start date and that you participate in an organized doctoral programme throughout the period of employment.

As an employee at NTNU it is important that you keep yourself up to date with academic and organizational changes and adapt to them.

For the necessary professional and social interaction it is a prerequisite that you are physically present and available to the institution regularly. Partial home office is possible upon agreement.

The appointment is carried out in accordance with the principles of theState Employees Act andExport control (legislation that regulates the export of knowledge technology and services). Candidates who after assessment of the application and attachments are considered to be in conflict with the criteria in the latter act will not be able to be employed.

About the application

The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English.

Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via . If you are invited to an interview you must bring certified copies of certificates and diplomas upon request.

The application must include:

  • Transcripts and diplomas for Bachelors and Masters degrees
  • Copy of Masters thesis. If you have not yet submitted your Masters thesis you can attach a draft of the thesis or a short description of the thesis project. Documentation of a completed Masters degree must be presented before taking up the position.
  • CV
  • Short letter of motivation (400 words/1 page)
  • Publications and other research work (if applicable)
  • Certificates (if applicable)
  • Names and contact information of minimum two relevant referees


If all or parts of your education have been taken abroad we also ask you to attach documentation of the scope and quality of your entire education both Bachelors and Masters education in addition to other higher education. If your institution uses diploma supplement (normal for most European institutions) you must attach this. A description of the documentation required can also be foundhere. If you already have a statement fromNorwegian Directorate for Higher Education and Skills (HK-dir) please attach this as well.

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

When assessing the best qualified we emphasize necessary qualifications such as education experience and personal suitability. Motivation for the position ambitions and potential for research will also count when assessing the candidates.

NTNU recognizes a wide range of academic contributions and has committed itself toThe San Francisco Declaration on Research Assessment andCoARA(responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNUs social mission).

General information

A public list of applicants with name age job title and municipality of residence is prepared after the application deadline. If you wish to be exempt from entry on the public applicant list this must be justified. Assessment will be made in accordance withcurrent legislation. You will be notified if the exemption is not granted.

If you think this position looks interesting and in line with your qualifications you are welcome to apply.

If you have any questions about the position please contact Associate Professor Johanna Vannesjö e-mail:.

If you have any questions about the recruitment process please contact HR Consultant Anja Isaksen e-mail:.

Application deadline: 18.10.2026

For practical information aboutworking at NTNU please visit this webpage.

The city of Trondheim is a modern European city with a rich cultural scene.Trondheim is the tech capital of Norway with a population of 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.

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 Physics

Our research and teaching are both experimental and theoretical covering a wide range of disciplines. Our activities contribute to development of new medical technology and to finding solutions for the next generations communication technology energy utilization and development of materials. The Department of Physics is one of seven departments in the Faculty of Natural Sciences.