Postdoc in health data science at the Pioneer Centre for SMARTbiomed Full-time

Postdoc In Health Data Science At The Pioneer Centre For SMARTbiomed

The Department of Public Health at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of machine learning for electronic health records to predict diabetic complications as per 1 August 2026 or as soon as possible thereafter. The position is a fixed-term full-time position for 32 months.

As a Postdoc at the Department of Public Health, you will be part of an internationally recognised department, where we work together to promote public health through research into areas that can prevent, treat and alleviate disease. We are involved in broad collaboration both internally and externally. We share our knowledge with citizens, decision-makers, business and industry, practitioners and other researchers – in municipalities, in the regions and both nationally and internationally. The department either contributes to or is responsible for teaching in medicine, public health science, sport science, optometry and nursing. At the Department of Public Health, you will have approx. 200 colleagues, including ninety academic staff members and a corresponding number of PhD students. We work closely with one another across different fields of study and prioritise a healthy work environment. The general tone among colleagues is informal.

This position is based in the Machine Learning and Clinical Prediction (MLCP) Lab at Steno Diabetes Center Aarhus (SDCA). You will also be part of the Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform biomedicine (SMARTbiomed) and work closely with researchers at our three hub-sites. SMARTbiomed is an international collaboration between Aarhus University, University of Oxford, and University of Copenhagen that aims to advance the development of methods and software for analysis and inference from massive human data, advancing applications in medicine. SMARTbiomed is anchored at the National Centre for Register-based Research (NCRR), Department of Public Health at Aarhus University, and led by Prof. Naomi Wray. The position is based at our site in Aarhus, but you can expect some travel to our sites in Oxford and Copenhagen.

You have academic qualifications at PhD level, for example within the following areas: machine learning, computer or data science. We expect you to have some of the following qualifications:

• Background in data science, computer science, bioinformatics, statistics, or related fields with a relevant PhD degree (required).
• Experience with developing or applying natural language processing methods or large language models on text, time series, or multimodal data, preferably in the health domain.
• Knowledge of machine learning methods for predictive modelling.
• Experience with project management and open science principles and tools (e.g. GitHub), preferably on high-performance computing clusters.
• Advanced programming experience in Python.
• A genuine interest for the latest developments in AI (specifically LLMs), a passion for data science and its application in the health domain, and curiosity to learn about diabetes and its complications (e.g. cardiovascular disease)

As a person, you are enthusiastic and dedicated researcher who values inclusion. You are able to build relationships based on trust with students, colleagues and partners. As a communicator you communicate the newest and relevant knowledge in a committed, clear and comprehensible manner across disciplines to build bridges between machine learning research and diabetes. As a supervisor you are professional, inspiring and inclusive. We expect you to be fluent in oral and written English. International applicants are expected to learn Danish, and Aarhus University arranges Danish teaching.

If you have any questions about the position, please contact scientific coordinator at the Pioneer Centre for SMARTbiomed, Gitte Bundgaard Christiansen; Email: gbch.ncrr@au.dk. Your place of work will be the National Centre for Register-based Research at the Department of Public Health, Bartholins Allé 2, DK-8000 Aarhus C, Denmark, or Steno Diabetes Center Aarhus, Aarhus University Hospital, Palle Juul-Jensens Blvd 11, DK-8200, Aarhus N, Denmark. We expect to conduct interviews in June.