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 of Computational Precision Nutrition

The newly established

Department of Computational Precision Nutrition (CPN)

invites applications for a

Postdoc (m/f/div) in Causal Inference / Statistics

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. One focus area of the department are digital N-of-1 trials.

Position Overview

We are seeking one highly motivated scientist with expertise in

causal inference and statistics

to join our team.

Tasks may include:

Developing and applying methodology for individual-level inference on the effect of health interventions
Developing best practices and guidelines for causal inference in N-of-1 trials
Developing and applying methodology to investigate treatment effect heterogeneity
Collaborating with deep learning 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
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 and publications in causal inference and statistics
Expertise in programming languages, such as R or Python
Experience with open-source software development
Strong communication skills and ability to work in interdisciplinary teams

We offer:

Opportunity to develop your own research profile within an exciting research area
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 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_W10_AP

as a single PDF file

before

October 15th, 2026

via e-mail to

jobs@dife.de

Contact Information

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).