Publisher
source

International PhD Programme (IPP) Mainz, Institute of Molecular Biology

Just Landed

PhD in Causal Multi-Omics Modeling of Disease Biology at International PhD Programme (IPP) Mainz International PhD Programme (IPP) Mainz in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position with financing until completion of the thesis.

Deadline

Oct 15, 2026

Country flag

Country

Germany

University

International PhD Programme (IPP) Mainz, Institute of Molecular Biology

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Biomedical Engineering
Biology
Mathematics
Systems Biology
Hierarchical Modeling
Graphical Models
Genomic
Statistics
Metabolomic
Physics
Transcriptomic
ML

Suggested positions

About this position

PhD opportunity in causal multi-omics modeling of disease biology at the International PhD Programme (IPP) Mainz, Germany, within the Institute of Molecular Biology. The project is hosted by the research group of Vincent ten Cate and sits in the context of the BMFTR-funded DIASyM project.

This PhD focuses on developing new statistical and computational methods for integrating heterogeneous molecular data to infer causal mechanisms of disease. The work combines statistical genetics, systems biology, and machine learning, with emphasis on causal inference across genomics, transcriptomics, proteomics, metabolomics, and related omics layers. The disease area of interest is cardiovascular disease.

Possible methodological directions include Mendelian randomization, Bayesian hierarchical models, Gaussian graphical models, multi-layer data integration, network-based regularization informed by protein structure and embeddings, and scalable inference for genome-wide applications. The project also highlights protein-protein interaction patterns, structural similarity, and data-driven embeddings as prior information for causal modeling.

Applicants should have a Master’s degree or equivalent in statistics, mathematics, data science, bioinformatics, physics, engineering, or a related quantitative field. Required/preferred skills include knowledge of statistics, interest in machine learning, experience with R and/or Python, good English, an interactive personality, and two letters of reference.

The position is fully funded until completion of the thesis. The application deadline is 15 October 2026. Interviews are planned for 18–19 January 2027 in Mainz, and the starting date is between 1 February and 31 July 2027.

Apply through the IPP online application platform and select ten Cate as your group preference.

Funding details

Fully funded PhD position with financing until completion of the thesis.

What's required

Master’s degree or equivalent in statistics, mathematics, data science, bioinformatics, physics, engineering, or a related quantitative field; knowledge of statistics; interest in machine learning; experience with R and/or Python; good command of English; interactive personality; two letters of reference.

How to apply

Apply via the IPP online application platform using the apply button. In the application, select ten Cate as your group preference. Submit before the deadline and prepare two letters of reference.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?