Stefan Konigorski

Two postdoctoral positions are available in Causal Inference , Statistics , Reinforcement Learning , AI , and Bioinformatics with Stefan Konigorski , Professor in Computational Precision Nutrition at the German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) and the University of Potsdam . This opportunity is aimed at researchers with a strong quantitative and computational background who want to work at the intersection of data science, health, and nutrition-related research. The post highlights methods-oriented areas including causal inference and statistics, alongside modern machine learning and bioinformatics applications. The announcer is an academic staff member and appears to be directly recruiting for the positions. The post states that applicants should apply directly through the website, and that the LinkedIn application route was only temporary but the positions remain open. No deadline, funding details, or formal eligibility criteria are provided in the post. Interested candidates should follow the application instructions from the website or contact the professor for further information.

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.