PhD Student (m/w/d)

Join an internationally recognized research team investigating the genetic foundations of sleep disorders through large-scale genomic analyses and machine learning. As the Krombach Fellow, you will contribute to a global multi-ancestry research consortium and help advance precision medicine approaches for restless legs syndrome.

PhD Position (m/f/d) - Krombach Fellow

München | Full-time | As soon as possible | Fixed-term (36 months)

Design and conduct genome-wide association studies (GWAS) and large-scale multi-ancestry meta-analyses using international biobank and research datasets.

Apply advanced statistical genetics methods to identify and prioritize disease-associated variants, genes, and biological pathways.

Develop and benchmark machine-learning models for genetic risk prediction across diverse populations.

Integrate genomic, clinical, and functional genomics data to improve the understanding of sleep disorders and their biological mechanisms.

Build reproducible, version-controlled analysis pipelines on high-performance computing and cloud platforms.

Present research findings within an international consortium and contribute to high-impact scientific publications.

Master’s degree (or equivalent) in bioinformatics, statistics, mathematics, computer science, machine learning, human genetics, epidemiology, or a closely related quantitative discipline.

Strong programming skills in Python and/or R to analyze and interpret large-scale genomic and health-related datasets.

Solid understanding of applied statistics, including regression models, multiple testing, and causal inference, enabling robust analysis of complex biological data.

Experience working with large datasets and high-performance computing environments to manage computationally intensive genomic analyses.

Interest in human disease biology and motivation to translate genetic discoveries into clinically relevant insights through collaboration with clinicians and experimental researchers.

Excellent written and spoken English skills to communicate findings effectively within an international research consortium and at scientific conferences.

A temporary position with the possibility of extension

EGYM well pass, corporate benefits and discounts (e.g. Käfer), cafeteria, sports and cultural offers, company bike

Working in the heart of Munich at Max-Weber-Platz with very good accessibility by public transport such as the subway, S-Bahn or tram

Company pension plan through the Federal and State Pension Institute (VBL)

Self-realization through a varied and technically demanding job with interdisciplinary cooperation between various departments of the TUM Klinikum