Björn-Hergen Laabs
6 months ago
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Postdoc in Statistical Methods and AI in Medicine at University Medical Center Göttingen University Medical Center Göttingen in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
The position is full-time (38.5 hours per week) and funded until 31-10-2028. It is part of the CAIMed consortium, funded by the Ministry of Science and Culture of Lower Saxony and the VolkswagenStiftung. No specific stipend or salary amount is mentioned. The position offers professional training opportunities and is committed to equality and inclusion.
Deadline
Expired
Country
Germany
University
University Medical Center Göttingen

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About this position
The Institute of Medical Statistics at the University Medical Center Göttingen is seeking a Research Associate/Postdoc to join a dynamic team advancing statistical methods and artificial intelligence (AI) in medicine. This full-time position, available until 31 October 2028, offers the opportunity to work at the intersection of innovative statistical methodology, causal inference, and cutting-edge AI applications within a highly collaborative and interdisciplinary research environment.
The successful candidate will contribute to the development of novel statistical methods, implementation of new approaches in statistical software (preferably R), and publication of impactful methodological research. The role involves working within the CAIMed consortium, a Lower Saxony research center for AI and causal methods in medicine, funded by the Ministry of Science and Culture of Lower Saxony and the VolkswagenStiftung. Research topics include evidence synthesis, counterfactual methods, explainability, uncertainty quantification, and federated learning, with applications to personalized healthcare and the management of diseases such as cancer, cardiovascular diseases, and infections.
Applicants should have a doctoral degree in Statistics, Mathematics, Biometry, Bioinformatics, or a related field, with a strong background in statistical methodology for causal inference and AI systems. Excellent programming skills in R and/or Python, high proficiency in English, and a proven research track record are required. Experience in grant writing and proficiency in German are advantageous. The position offers a challenging job in a multidisciplinary team, professional training opportunities, and a commitment to equality and inclusion.
To apply, candidates should submit their application via the official recruiting portal before the deadline of 8 March 2026. For more information and to access the application portal, visit the provided links.
Funding details
The position is full-time (38.5 hours per week) and funded until 31-10-2028. It is part of the CAIMed consortium, funded by the Ministry of Science and Culture of Lower Saxony and the VolkswagenStiftung. No specific stipend or salary amount is mentioned. The position offers professional training opportunities and is committed to equality and inclusion.
What's required
Applicants must hold a doctoral degree (PhD or equivalent) in Statistics, Mathematics, Biometry, Bioinformatics, or a related field. A strong background and research interest in statistical methodology for causal inference and AI systems is required. Proven research track record in the development or application of statistical methodology for evidence synthesis, causal inference, and/or AI systems is expected. Excellent programming skills, preferably in R and/or Python, and high proficiency in English (written and spoken) are required. Proficiency in German is an advantage. Experience in grant writing is welcome. Candidates should demonstrate motivation, teamwork, proactivity, scientific curiosity, and willingness to learn.
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