Postdoctoral Researcher in Epidemiology and AI at Uppsala University

Do you want to work with AI, epidemiology, and health inequality, supported by competent and friendly colleagues in an international environment? Do you want an employer that invests in sustainable employee engagement and offers secure, favorable working conditions? Welcome to apply for a postdoctoral position at Uppsala University.

The position is located in the Molecular Epidemiology research group at the Department of Medical Sciences, Uppsala University. The workplace is at EpiHubben, an interdisciplinary research environment that gathers researchers working with large-scale health and socioeconomic data. Here, you will have access to relevant expertise, infrastructure, and support for registry-based and computationally intensive research. The position offers the opportunity for close collaboration with Nordic and Baltic research partners within an international consortium. The working language is English.

The position is funded through the NordForsk-funded Nordic-Baltic research project “Ethical and computational evaluation of fairness in AI models for personalized disease prevention across >23 million individuals (fAIrHEALTH)”.

The project investigates AI-based prediction models for disease risk based on registry data from Sweden, Denmark, Finland, and Estonia. The overarching aim is to examine whether advanced prediction models perform equally well across different socioeconomic groups and how potential inequalities can be identified, interpreted, and counteracted.

Responsibilities

You will primarily work with Swedish national health and socioeconomic registry data in close collaboration with Nordic and Baltic partners. Your tasks will include:

• contributing to study design as well as preparation and evaluation of AI-based prediction models
• conducting and interpreting analyses of disease risk prediction and algorithmic fairness across demographic and socioeconomic groups
• participating in scientific publications and presentations within an international research consortium

While an interest in computational methods is important, the position is particularly suited for those with high competence in epidemiology, population health, and health inequality, focusing on the interpretation of complex data rather than pure technical development of machine learning models.

The work will be supervised by Professor Tove Fall and Dr. Hannah Brooke.

Qualifications

We are looking for candidates who hold a PhD in epidemiology, public health, biostatistics, or a related field, or a foreign degree assessed to be equivalent to a PhD. The degree must be obtained by the time the employment decision is made. We primarily seek candidates who have obtained their degree within the last three years. When calculating the three-year timeframe, the deadline for applications is the starting point. If there are special reasons, the degree may have been obtained earlier. Special reasons include, for example, leave due to illness, parental leave, or trust assignments within trade unions.

Additionally, the following is required:

• Excellent understanding of epidemiological methods and observational studies
• Experience in independently handling large-scale registry data or administrative health data
• Strong quantitative skills and documented experience in data analysis using statistical software such as R, Stata, or Python
• Interest in methodological issues related to fairness or bias in prediction models
• Ability to plan, execute, and take responsibility for research tasks, both independently and in collaboration
• Excellent communication skills in spoken and written English and the ability to explain and discuss complex results in interdisciplinary contexts
• A structured, careful, and responsible working approach, focusing on data quality, documentation, and reproducibility

Desirable/meritorious

• Experience working with Swedish or Baltic health registries
• Research experience in health inequality or social determinants of health
• Experience working in interdisciplinary research environments
• Experience in research on large language models and/or other AI methods
• Ability to understand Swedish

About the position

The position is temporary for 2 years according to the central collective agreement, with the possibility of a 1-year extension. The scope is full-time. Start date by agreement. Location: Uppsala

For inquiries about the position, please contact: Tove Fall, mailto:[email protected] (mailto:[email protected])

Welcome with your application no later than February 18, 2026, UFV-PA 2026/261.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country's most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University here (https://uu.se/om-uu/jobba-hos-oss/).

The position may be subject to security clearance. A prerequisite for employment during security clearance is that the applicant is approved.

We kindly decline offers of recruitment and advertising assistance.

Applications are received in Uppsala University's recruitment system.

Union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]