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Tove Fall

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2 weeks ago

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

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is fully funded for two years with the possibility of a one-year extension, financed by a NordForsk-funded Nordic-Baltic research project. Employment is full-time with individual salary setting according to the central collective agreement. The position includes access to research infrastructure and support at Uppsala University.

Deadline

Feb 18, 2026

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Country

Sweden

University

Uppsala University

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Where to contact

Official Email

Keywords

Computer Science
Epidemiology
Biostatistics
Artificial Intelligence
Health Disparities
Disease Modeling
Medical Science
Salud Pública
Statistics

About this position

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].

Funding details

The position is fully funded for two years with the possibility of a one-year extension, financed by a NordForsk-funded Nordic-Baltic research project. Employment is full-time with individual salary setting according to the central collective agreement. The position includes access to research infrastructure and support at Uppsala University.

What's required

Applicants must hold a PhD in epidemiology, public health, biostatistics, or a closely related field, awarded no more than three years before the application deadline (exceptions for special circumstances). Required qualifications include strong understanding of epidemiological methods and observational studies, experience handling large-scale register or administrative health data, advanced quantitative skills, and documented experience with 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.

How to apply

Apply through the Uppsala University recruitment system by the deadline. Prepare your application materials as specified in the job posting. Contact Tove Fall for further information. See the provided link for full details and application instructions.

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