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Postdoctoral Fellow in Predictive AI for Healthcare

Trondheim / Ålesund, Norway
NOK 594 500 per annum
Closing date
1 Jun 2024

Job Details

About the job

The postdoctoral fellowship position is related to the project "Predicting Care Needs of Older Adults in the Healthcare System through AI-Enabled Analysis of Patient-Monitoring Data (PAI)". 

The PAI project, aims to predict and enhance the care of older adults by utilizing artificial intelligence (AI) to analyse patient-monitoring data for early detection of health and functional decline. It is designed to address the increasing healthcare demands due to an aging population. By implementing AI-driven predictive models, the project seeks to facilitate early interventions and appropriate care level involvement, thereby reducing acute care costs and improving patient outcomes. 

The PAI project involves partners in Norway, Spain, and Sweden and is led by the Norwegian University of Science and Technology (NTNU). It is funded by THCS, and spans from November 2024 to October 2027.

The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions. The appointment has a duration of two years and four months. It is possible to be located at NTNUs campus either in Ålesund or Trondheim.  A key goal for the position will be identifying and preparing large amounts of relevant healthcare data and, developing innovative AI tools and methods to analyze these to predict the needs of the elderly effectively.  

Duties of the position

  • Participate in data collection within the participating countries.
  • Analyze large datasets and develop AI models capable of analysing and predicting patient care needs.
  • Collaborate with healthcare professionals to implement these models to monitor and predict health conditions and care needs, using patient data.
  • Actively participate in project discussions and proposal developments.
  • Publish scientific papers within the field of AI in healthcare and present the work at international conferences.

Required selection criteria

  • You must have completed a Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD.
  • Candidates with documented upcoming completion of the PhD within six months after the application deadline may also apply If they can document that the PhD thesis has been submitted and not yet defended. Documentation of the obtained doctoral degree must be presented before you can take up the position.
  • Documented competency in fields relevant to health care, data science and/or artificial intelligence.
  • Fluent in English or Norwegian

The appointment is to be made in accordance with Regulations on terms of employment for positions such as postdoctoral fellow, Ph.D Candidate, research assistant and specialist candidate.

Preferred selection criteria

  • Experience with machine learning and statistical methods, especially in healthcare.
  • Experience with federated learning.
  • Knowledge about the health care system in Norway
  • Good written and oral English and Norwegian / Scandinavian language skills.

Personal characteristics

  • Good collaboration and communication skills
  • High execution ability
  • Engaged and flexible
  • Eager to learn
  • Thrives in both team and independent work settings

We offer 

Salary and conditions

As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 594 500 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund

The period of employment is 28 months. 

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

After the appointment you must assume that there may be changes in the area of work.

The position is subject to external funding.

It is a prerequisite you can be present at and accessible to the institution 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 your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above.

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 application must include:

  • CV and certificates.
  • Transcripts and diplomas for bachelor's-, master's- and PhD degrees. If you have not yet completed your Ph.D, you must provide confirmation on your estimated date for the doctoral dissertation, or that your PhD thesis has been submitted.
  • A copy of the doctoral thesis. If you are close to submitting, or have recently submitted your thesis, you can attach a draft of the thesis. Documentation of a completed doctoral degree must be presented before taking up the position.
  • Academic works - published or unpublished - that you would like to be considered in the assessment (up to 5 items).
  • Name and contact information of three referees.

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

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

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

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 

NTNU believes that inclusion and diversity is a strength. We want our faculty and staff to reflect Norway’s culturally diverse population and we continuously seek to hire the best minds. This enables NTNU to increase productivity and innovation, improve decision making processes, raise employee satisfaction, compete academically with global top-ranking institutions and carry out our social responsibilities within education and research. NTNU emphasizes accessibility and encourages qualified candidates to apply regardless of gender identity, ability status, periods of unemployment or ethnic and cultural background.

NTNU is working actively to increase the number of women employed in scientific positions and has a number of resources to promote equality

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.  

The city of Ålesund, with its population of 50 000, will provide you with plenty of opportunities to explore a region of Norway that is famous for its beautiful scenery with high mountains and blue fjords. Ålesund itself, with its Art Nouveau architecture, is by many considered to be the most beautiful city in Norway! The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. 

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. 

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the reservation is not accepted.

If you have any questions about the position, please contact Prof. Ibrahim A. Hameed, telephone: +4741315695, email:, and Prof. Aslak Steinsbekk, telephone: +4741559076, email: If you have any questions about the recruitment process, please contact Gunn-Helen Hellevik, telephone: +4797113359, email:  

If you think this looks interesting and in line with your qualifications, please submit your application electronically via with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation. 

Application deadline: 01.06.24 

Hovedbygningen NTNU

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 ICT and Natural Sciences

Our campus in Ålesund works in a partnership with industry that is in a class of its own among Norwegian universities. This ensures a practical focus for our study programmes, while they are firmly anchored in modern theory. The Department offers programmes in automation engineering, computer engineering, electric power systems, simulation and visualization. Our research areas include autonomous vessels, robotics, cybernetics, medical technology and health informatics, and artificial intelligence. The Department of ICT and Natural Sciences is one of seven departments in the Faculty of Information Technology and Electrical Engineering .

Questions about the position

Ibrahim A. Hameed

Aslak Steinsbekk

Deadline 1st June 2024
Employer NTNU - Norwegian University of Science and Technology
Municipality  Ålesund / Trondheim
Scope Fulltime
Duration Temporary
Place of service Larsgårdsvegen 2, 6025 Ålesund /  Høgskoleringen 1, 7034 Trondheim


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