Postdoctoral Research Associate Federated Machine Learning in Prostate Cancer

Trondheim, Norway
Thursday, 4 March 2021
End of advertisement period
Sunday, 18 April 2021
Contract Type
Fixed Term
Full Time

About the position

This position is a fixed term, full time (100%) position for two-and-a-half years starting in August 2021.

The post doc will be part of the MR Cancer Group, which is a multidisciplinary research group working within the field of personalized cancer medicine. For more information about the research group, please visit the following web page: The position offers challenging and varied tasks in an environment characterized by active, committed and skilled employees.

The post doc will be working in a project on federated machine learning for improving prostate cancer diagnosis. The total duration of the project is 4 years and is funded by the Norwegian Cancer Society. Federated Learning is a novel privacy-preserving framework for collaboratively training, validating, and testing of artificial intelligence (AI) solutions, without the need to share patient data physically across institutions. The responsibilities of the post doc include the technical development of a Federated Learning framework for prostate cancer imaging, and benchmark its performance for segmentation, reconstruction, and detection tasks on existing data sets. Furthermore, the post doc will contribute to demonstrating the clinical feasibility of federated learning solutions by supporting implementation in St. Olavs Hospital.

Duties of the position

  • Technical implementation of federated learning pipeline
  • Performance analysis for different tasks (segmentation, reconstruction, detection)
  • Interaction with local, national and international interdisciplinary researchers
  • Writing, publishing and communication of results to peers, users and the general public

Required selection criteria

Requirements of the applicant:

  • PhD within computer science, biomedical engineering, biophysics, or equivalent
  • Excellent programming skills in Phyton
  • Vast experience in machine learning, including deep learning
  • Excellent English skills, spoken and written

A postdoctoral research fellowships is a qualification position in which the main objective is qualification for work in academic positions. You must have completed a Norwegian doctoral degree or acorresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree is required.

Emphasis will also be placed on:

  • Experience with federated or collaborative machine learning
  • Experience within medical imaging and medical image analysis
  • Proficiency with PyTorch and/or TensorFlow
  • Experience with ICT infrastructure

If, for any reason, you have taken a career break or have had an atypical career and wish to disclose this in your application, the selection committee will take this into account, recognizing that the quantity of your research may be reduced as a result.

The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant.

Personal characteristics

  • Ability to work both independently and in a team
  • Good communication skills
  • Resourceful

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, as well as motivation, in terms of the qualification requirements specified in the advertisement.

We offer

Salary and conditions

The employment period is 2.5 years.

Postdoctoral candidates are placed in code 1352, and are normally remunerated at gross from NOK 545 300 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 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.

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

About the application

The application and supporting documentation to be used as the basis for the assessment must be in English.

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

The application must include:

  • Motivation letter
  • CV, certificates and diplomas
  • Academic works - published or unpublished - that you would like to be considered in the assessment (up to 5 works)
  • Name and address of three referees

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 suitability.

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.

Questions about the position can be directed to:

Researcher Mattijs Elschot, email:, telephone: +47 40524106

Questions regarding the application procedure can be directed to:

HR Consultant Julie Hoff, email:, telephone: +47 72576984

Please submit your application electronically via 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. 

Application deadline: 18.04.2021

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.

The Department of Circulation and Imaging (ISB) has 260 employees, and its research units are at the Cardiothoracic Centre at St. Olav’s Hospital, integrated with collaborating clinical divisions. The Department of Circulation and Medical Imaging (ISB) includes anaesthesiology, radiology, radiography, ultrasound, magnetic resonance imaging, exercise physiology, cardiovascular physiology, pulmonary physiology, pulmonary medicine, cardiology, vascular surgery, thoracic surgery and biomedical engineering.

The department is also responsible for the Centre for Innovative Ultrasound Solutions (CIUS), the Medical Simulation Centre and the MR Centre. More information about the department is available at

Deadline 18th April 2021
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fulltime
Duration Temporary
Place of service Øya campus

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