Postdoc Positions in Development and Implementation of AI-based Decision Support in Clinical Practice

Applications are invited for two postdoc positions with SDU Health Informatics and Technology (HIT) The Maersk Mc-Kinney Moller Institute (MMMI) University of Southern Denmark (SDU) Odense. Both positions are for 2 years with the possibility of extension depending on possible additional funding. The positions will be part of two externally funded projects WISDOM and CHOICE. The planned starting date for the positions is February 15 2026.

Research projects

WISDOM (funded by Horizon Europe; 2023-2028) is led by the Karolinska Institute in Sweden and has partners from 10 different European countries. SDU HITs role in WISDOM is development and implementation of responsible state-of-the-art artificial intelligence mediated models and decision support systems for chronic immune-mediated diseases (in particular multiple sclerosis). ( (funded by NordForsk; 2025-2029) is led by Odense University Hospital in Denmark and has partners in Denmark Norway and Sweden. SDU HITs role in CHOICE is adaptation and implementation of responsible state-of-the-art artificial intelligence mediated models and decision support systems for identification of people at risk of osteoporosis. ( positions

Both postdoc positions will focus on development and implementation of AI-based decision support in clinical practice using a co-design methodology.

In relation to WISDOM the goal is to develop and evaluate a demonstrator (TRL 5-6) that supports selected use cases related to shared decision making by patients and health care professionals in multiple sclerosis management.

In relation to CHOICE the goal is to develop and evaluate a decision support system (TRL 8-9) that is integrated with the general practitioners electronic health record system XMO from CompuGroup Medical.

Both postdoc positions will contribute to each project and will require close collaboration between the selected candidates as well as project members from WISDOM and CHOICE.

Ideal candidates

To qualify for the postdoc positions you must hold a Ph.D. degree in software engineering artificial intelligence computer science or a related discipline.

The ideal candidates will have many of the following competences.

• software engineering experience (full stack development)
• artificial intelligence experience (including explainability and interpretability)
• experience in interdisciplinary work
• experience in working with external stakeholders and domain experts (i.e. using the co-design method)
• experience in development of AI-augmented decision support tools
• experience in UI and UX design
• knowledge of the health domain

We envision hiring postdocs with different profiles that in combination possess the listed competences. Profile 1 will be mostly software engineering oriented while Profile 2 will be mostly artificial intelligence and decision support oriented.

About MMMI and SDU HIT

MMMI is an internationally recognized research department that conducts research within robotics drone technology artificial intelligence I4.0 software engineering as well as health and energy informatics.

SDU HIT conducts interdisciplinary research related to data driven health technology in close collaboration with experts from various fields. There is a strong emphasis on the development of high TRL systems related to intelligent monitoring and decision support; predictive models for prevention early detection diagnosis treatment and prognosis; digital health systems offering novel personalized data collection treatment plans and interventions. SDU HIT has research activities in areas such as geriatrics mental health compassion cancer cardiology osteoporosis and multiple sclerosis.

Additional information

For further information about the positions please contact Professor Uffe Kock Wiil phoneemail .

If you experience technical problems please contact

Application

Applicants are advised to read theSDU information on how to apply.

Assessment of the candidates is based on the application material and an application must include:

• Motivated application describing previously relevant project (max. 2 pages)
• Curriculum Vitae (max. 2 pages)
• Complete list of publications
• Publications most relevant to the position
• Masters and PhD degree certificates or equivalent (copy of original/official English translation).
• Summary and documentation of experience in teaching if relevant to the position
• A research statement may be included
• References/reference letters may also be included (max. 3)
• A statement/documentation of other qualifications relevant to the position may also be included

SUBMISSION GUIDE: Motivated application (max. 5 MB) Curriculum Vitae (max 5 MB) shall be uploaded in the relevant box. All other documents shall be uploaded under Miscellaneous documents (max 10 files of max 50 MB per file).

All documents must be in English and PDF format. CPR number (civil registration no.) must be crossed out. All PDF-files must be unlocked and allow binding and may not be password protected.

The application deadline isNovember 30 2025at 11.59 PM/23.59 (CET/CEST)

Assessment and selection process

Applications will be assessed by an assessment committee. Shortlisting may be applied and only shortlisted candidates will receive a written assessment.Read about shortlisting at and tests may be part of the overall evaluation.

Read about theAssessment and selection process.

Conditions of employment

Appointment as postdoc is temporary foran initial 2-year period and the preferred start date is from February 15 may be possible depending on available as a postdoc requires scientific qualifications at PhD level at the time of will be in accordance with the collective agreement between the Ministry of Finance and the Danish Confederation of Professional Associations for academics in the state with the associated circular on the protocol for the job structure for academic staff at Danish universities and the provisions for postdoc as described herein.Further information on salary and person employed in the position may based on a specific individual managerial evaluation be exempted from time registration also known as a self-organizer.

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The University of Southern Denmark wishes our staff to reflect the surrounding community and therefore encourages everyone regardless of personal background to apply for the position. SDU conducts research in critical technologies which due to the risk of unwanted knowledge transfer are subject to a number of security measures. Therefore based on information from open sources background checks may be conducted on candidates for the position.

Further informationfor international applicants about entering and working in Denmark. You may also visitWorkinDenmarkfor additional information.

Further informationabout The Faculty of Engineering.