About DIfE

The German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) is a member of the Leibniz Association. The institute s mission is to conduct experimental and clinical research in the field of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention.

Department and Role

The newly established Department of Computational Precision Nutrition (CPN) invites applications for a Postdoc (m/f/div) in Deep Learning / Reinforcement Learning starting as soon as possible .

The Department of Computational Precision Nutrition develops methods and software for the analysis of both population-level and individual-level data to enable personalized health recommendations based on dietary patterns, behaviors, and diet-associated biomarkers. We aim to contribute to the personalized prevention and treatment of chronic diseases and advance our understanding of the mechanisms underlying their development. Two methodological focus areas are digital N-of-1 trials and deep learning-based modeling of multimodal biomedical data.

Responsibilities

We are seeking one highly motivated scientist with expertise in deep learning / reinforcement learning to join our team.

Tasks include:

Developing, implementing, and applying digital twins and RL agents based on multimodal health data for personalized recommendations of dietary and other health behavior to improve health
Collaborating with causal inference researchers to jointly develop methods for analyzing multimodal digital N-of-1 trials (patient reported outcomes, wearables, images, audio, omics data) linking causal inference and deep learning
Developing methodology for individual-level inference of large epidemiological studies (e.g., EPIC Potsdam study, German National Cohort study), including omics data
Implementing the developed causal inference methodology for studies run on the StudyU platform with collaborators in Germany, Australia, USA, South Korea, and Ghana
Developing clear data visualizations, reports, and written summaries to communicate results for scientific publications but also for study participants and patients
Collaborating with clinicians, epidemiologists, software developers, and laboratory scientists in the design of new studies and analysis of existing data

Skills and requirements

Excellent master s and doctoral degree with demonstrated expertise in deep learning / multimodal learning / reinforcement learning
Publication record at top machine learning conferences
Expertise in programming languages, such as R or Python
Experience with advanced deep learning frameworks and open-source software development
Strong communication skills and ability to work in interdisciplinary teams

We offer

Opportunity to develop your own research profile among the exciting research topics described above
A dynamic, international, and interdisciplinary research environment as well as excellent working conditions and outstanding technical equipment
Employment with remuneration according to TV-L, level 13, plus annual special payment and company pension scheme
Family-friendly working conditions (certificate audit berufundfamilie )
Supporting of mobility with a jobticket for using the public transport
Location close to the vibrant city of Berlin, with easy accessibility by public transport or car
30 days of vacation
Participation in the benefits program for employees ( corporate benefits )

Equal Opportunity

The advertised position is available for initially three years.

We promote the employment of people with severe disabilities and are committed to equal opportunities for them. Applicants with severe disabilities will be given preferential consideration if they have the same qualifications.

Application Process

We look forward to your application!

Please send your documents (cover letter, CV, copies of degrees / certificates, and references) with reference number 2026_W09_AP as a single PDF file before October 15 th , 2026 , via e-mail to jobs@dife.de .

For further information please contact Prof. Dr. Stefan Konigorski Head of the Department of Computational Precision Nutrition E-mail: stefan.konigorski@dife.de

We process your application documents for the purpose of carrying out the application procedure in accordance with Art. 6 para. 1 lit. b) GDPR, Art. 88 GDPR. For more information on the collection, processing, and use of personal data by the German Institute of Human Nutrition as part of the application process and your rights under data protection law, please contact the Department of Human Resources and Social Services ( jobs@dife.de ).