Postdoc in AI, Epidemiology, and Health Inequalities at Uppsala University

A postdoctoral position is available in the Molecular Epidemiology group at Uppsala University, Sweden, focusing on AI, epidemiology, and health inequalities. The successful candidate will join EpiHubben, a multidisciplinary research environment, as part of a Nordic-Baltic consortium funded by NordForsk. The project, 'Ethical and computational evaluation of fairness in AI models for personalized disease prevention across >23 million individuals (fAIrHEALTH),' investigates fairness in AI-based disease risk prediction using large-scale health and socioeconomic register data from Sweden, Denmark, Finland, and Estonia. The main responsibilities include contributing to study design, preparing and evaluating AI-based prediction models, conducting and interpreting analyses of disease risk prediction and algorithmic fairness across demographic and socioeconomic groups, and collaborating with international partners. The position emphasizes epidemiology, population health, and health inequalities, with a focus on interpreting complex data rather than developing new machine learning algorithms. The working language is English. Applicants must have a PhD in epidemiology, public health, biostatistics, or a related field, awarded within the last three years (exceptions for special circumstances). Required skills include strong epidemiological methods, experience with large-scale register or administrative health data, advanced quantitative competence, and proficiency in statistical software such as R, Stata, or Python. Interest in methodological issues related to fairness or bias in prediction models, ability to work independently and collaboratively, and excellent communication skills in English are essential. Additional merits include experience with Swedish or Baltic health registers, research on health inequalities or social determinants of health, interdisciplinary research experience, research on large language models or other AI methods, and ability to understand Swedish. The position is fully funded for two years with the possibility of a one-year extension, supported by NordForsk. Employment is full-time with individual salary setting according to the central collective agreement. The position offers access to research infrastructure and support at Uppsala University. The application deadline is 18 February 2026. For more information and to apply, visit the official job posting or contact Professor Tove Fall at [email protected].