Stefan Konigorski
3 weeks ago
Two Postdoc Positions in Computational Precision Nutrition, Causal Inference, and Deep Learning/Reinforcement Learning German Institute of Human Nutrition Potsdam-Rehbruecke in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
Two postdoctoral positions are being hired in the department. The post does not specify salary, stipend, or funding details, but these are paid postdoc openings rather than self-funded study positions.
Country
Germany
University
German Institute of Human Nutrition

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About this position
Two postdoctoral openings are available in Computational Precision Nutrition at the German Institute of Human Nutrition (DIfE). The department focuses on developing methods and software for personalized health recommendations based on dietary patterns, behaviors, and diet-associated biomarkers, with the broader goal of improving prevention and treatment of chronic diseases.
The research environment is highly interdisciplinary and uses data from large population-level studies and N-of-1 trials, including wearables, omics data, and patient-reported outcomes. The team also contributes to novel trials on the StudyU platform and collaborates with partners in Germany, the US, Australia, and South Korea.
One postdoc position is centered on Causal Inference, with a focus on methodology for individual-level inference on the effects of health interventions. The other focuses on Deep Learning and Reinforcement Learning, aiming to build digital twins and RL agents from multimodal health data to generate personalized dietary and health-behavior recommendations.
This is a strong fit for candidates with backgrounds in computer science, statistics, public health, medical science, or related quantitative/biomedical fields. The post does not list a deadline or detailed eligibility criteria, so interested applicants should review the linked position pages and contact the professor directly for next steps.
Funding details
Two postdoctoral positions are being hired in the department. The post does not specify salary, stipend, or funding details, but these are paid postdoc openings rather than self-funded study positions.
What's required
Applicants should have expertise aligned with either causal inference or deep learning/reinforcement learning. The post mentions work with multimodal health data, wearables, omics data, patient-reported outcomes, N-of-1 trials, and development of methods/software for personalized recommendations. An interdisciplinary profile is preferred; no specific degree, language, or GPA requirements are stated in the post.
How to apply
Review the linked position details for the two postdoc roles. If interested, contact Stefan Konigorski directly to express interest and ask for application instructions. Use the linked pages for more details on the positions.
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