Tove Fall
9 months ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
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
Expired
Country
Sweden
University
Uppsala University
Suggested positions
Karolinska Institutet
Sweden
4 days ago
Postdoctoral researcher in liver disease epidemiology and biostatistics at Karolinska Institutet (Department of Medicine, Huddinge; location: Flemingsberg/Huddinge, Sweden). The Hagström research group is seeking one postdoc to lead a project on the bidirectional cardio-hepatic relationship , with a focus on liver disease epidemiology , biostatistics , and metabolic dysfunction-associated steatotic liver disease (MASLD) . The work uses unique clinical cohort data and nationwide registers to impr...
4 days ago
Rollins School of Public Health
United States
2 weeks ago
PhD opportunity at SRM School of Public Health for research at the intersection of chronic disease epidemiology , non-communicable diseases (NCDs) , population health , risk prediction , machine learning , artificial intelligence , health data science , and digital health . The post invites motivated candidates for upcoming PhD admissions under the guidance of Prakash M . The research themes include chronic disease epidemiology, NCDs, large-scale health datasets, real-world health data, predicti...
2 weeks ago
University of Illinois Urbana–Champaign
United States
1 week ago
Fully funded postdoc opportunity in Rural Health and AI at the University of Illinois Urbana-Champaign , USA, with the Carle Illinois College of Medicine Rural Health and AI Research Team. This position focuses on how clinical, nutritional, environmental, and social factors affect health in rural and underserved populations . The role includes participant recruitment, data collection, statistical analysis, and contributing to manuscripts and grants. Eligibility: PhD, MD, or MBBS in Medicine, Pub...
1 week ago
Karolinska Institutet
Sweden
New Today
PhD opportunity in Colorectal Cancer Research at Karolinska Institutet, Sweden. This doctoral position is focused on clinical and translational cancer research within the Colorectal Surgery research group led by Anna Martling and Caroline Nordenvall . The project aims to improve personalized treatment for colorectal cancer by studying the effect of low-dose acetylsalicylic acid (aspirin) after surgery in patients with specific genetic alterations in the PI3K signaling pathway. The work builds on...
New Today
Erik Grönqvist
Uppsala University
Sweden
1 days ago
Uppsala University’s Centre for Health Economic Research (HEFUU) is advertising a two-year postdoctoral position in Health Economics within the Healthy Cities programme. The project focuses on the causes and consequences of geographical inequalities in health . The postdoc will work with rich Swedish register data and state-of-the-art quantitative methods in a collaborative, interdisciplinary setting involving economists, geographers, and medical researchers. Institution: Uppsala University, Swe...
1 days ago
Keywords
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.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor
Sweden
Research Interests
Clinical Nutrition
Biostatistics
Diabetology
Cardiometabolic Health
Insulin Resistance
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.