Research Assistant Positions in Development of AI-based Decision Support

SDU International; Odense; On-site; DKK 200,000 - 240,000; Part time

Job summary

SDU Health Informatics and Technology (HIT) at MMMI invites applications for two part-time research assistant positions in Odense. Each position is 25% (9.25 hours/week) for one year, with starting date on October 1, 2026.

The work focuses on AI-based decision support for cardiovascular risk prediction and lung cancer patient data smoking status detection, in collaboration with Hospital Sønderjylland and Lillebælt Hospital.

Qualifications

• MSc degree in software engineering, AI, CS, or related field.
• Experience with AI explainability and interpretability.
• Experience in developing AI-augmented decision support tools.
• Experience in interdisciplinary work with external stakeholders and domain experts.
• Knowledge of the health domain.

Responsibilities

• Develop AI-based decision support for cardiovascular risk prediction.
• Collaborate on projects with Hospital Sønderjylland (Sønderborg) and Lillebælt Hospital (Vejle).

Skills

AI experience

Explainability

Decision support AI

Interdisciplinary work

Stakeholder collaboration

Health domain knowledge

Education

Master’s degree in software engineering or AI

Job description

Applications are invited for two part-time research assistant 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 1 years at 25% (9,25 hours/week). The planned starting date for the positions is October 1, 2026.

Tasks

Both research assistant positions will focus on development of AI-based decision support. One position will be related to a joint project with Hospital Sønderjylland (Sønderborg) on personalized cardiovascular risk prediction and diagnostic support for patients with advanced kidney disease. The other position will be related to a joint project with Lillebælt Hospital (Vejle) on detection of smoking status and symptoms for lung cancer patients.

Ideal candidates

To qualify for the positions, you must hold a M.Sc. degree in software engineering, artificial intelligence, computer science, or a related discipline.

The ideal candidates will have many of the following competences.

• artificial intelligence experience (including explainability and interpretability)
• experience in development of AI-augmented decision support tools
• experience in interdisciplinary work
• experience in working with external stakeholders and domain experts
• knowledge of the health domain

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, kidney disease, osteoporosis, and multiple sclerosis.

Additional information

For further information about the positions, please contact Professor Uffe Kock Wiil, phone [phone], email [e-mail].

If you experience technical problems, please contact our email support.

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

• Motivated application.
• Curriculum Vitae.
• Master’s and Bachelor’s degree certificates or equivalent, including transcripts of grades(original and an official English translation).
• Complete list of publications, if you have any.
• Publications most relevant for the position (max. 2).
• A statement/documentation of other qualifications relevant to the position may also be included.

All documents must be in English and PDF format. CPR number (civil registration number) must be crossed out. All PDF-files must be unlocked, allow binding and may not be password protected.

SUBMISSION GUIDE: Motivated application must be uploaded under ‘Cover letter’ (max. 5 MB), Curriculum Vitae must be uploaded under ‘Resume’ (max 5 MB). All other documents must be uploaded under ‘Miscellaneous documents’ (max 10 files with a maximum 50 MB per file).

The application deadline is August 25, 2026, at 11:59 PM/23:59 (CET/CEST)

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

Employment terms

This appointment as a research assistant is part-time and temporary for an initial 1-year period, and the preferred start date is from October 1, 2026. Extension may be possible depending on available funding.

Employment as a research assistant requires qualifications at minimum master’s level (equivalent to a Danish master’s degree) at the time of employment. Employment 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 including the associated circular on the protocol for the job structure for academic staff at Danish universities and the provisions for research assistant as described therein.

Salary is determined in accordance with the applicable collective agreement and based on objective and gender-neutral criteria, including the content of the position, responsibilities, and qualification requirements. As an applicant, you are entitled to information about the starting salary and salary range for the position. This information will be provided during the recruitment process. SDU does not collect information on applicants’ previous salary. Further information on salary and taxation.

Persons employed in the position may, based on a specific individual managerial assessment, be exempted from time registration, also known as a 'self-organizer'.

The University of Southern Denmark wishes its 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, is subject to a number of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position(s).

Further information for international applicants about entering and working in Denmark. You may also visit WorkinDenmark for additional information.

Further information about The Faculty of Engineering.