1 Postdoc (m/f/d) in Deep Learning / Reinforcement Learning

Organisation/Company Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke Department CPN Research Field Biological sciences » Nutritional sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 15 Oct 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026_W09_E Is the Job related to staff position within a Research Infrastructure? No

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.

We are seeking one highly motivated scientist with expertise in Deep Learning / Reinforcement Learning to join our team.

Tasks include

• Develop, implement and apply digital twins and RL agents based on multimodal health data for personalized recommendations of dietary and other health behavior to improve health
• Collaborate 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
• Develop methodology for individual-level inference of large epidemiological studies (e.g., EPIC Potsdam study, German National Cohort study) including omics data
• Implement the developed models for multimodal studies run on the StudyU platform with collaborators in Germany, Australia, USA, South Korea and Ghana
• Develop clear data visualizations, reports, and written summaries to communicate results – for scientific publications but also for study participants and patients
• Collaborate with clinicians, epidemiologists, software developers and laboratory scientists in the design of new studies and analysis of existing data

Skills and requirements

• Excellent master 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 & 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“)

The advertised position is available for initially 3 years.

Requirements

Research Field Biological sciences » Nutritional sciences Education Level Master Degree or equivalent

Research Field Biological sciences » Nutritional sciences Education Level PhD or equivalent

Skills/Qualifications

• Excellent master 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 & open-source software development
• Strong communication skills and ability to work in interdisciplinary teams

Languages ENGLISH Level Excellent

Research Field Biological sciences » Nutritional sciences

Additional Information

• 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“)

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 ).

Additional comments

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.

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