Summary: The Max Planck Institute of Biochemistry (MPIB) is seeking a highly motivated Postdoctoral Research Fellow to join the Department of Machine Learning and Systems Biology, headed by Prof. Dr. Karsten Borgwardt. This role offers a rare opportunity to pioneer new algorithms for graph-structured data and apply them to frontier problems in biology using large-scale experimental datasets. The initial appointment is for two years, with the possibility of extension, and payment is in accordance with the TVöD (German public service tariff scale).
Postdoctoral Research Fellow (m/f/d) Graph Learning, Max Planck Institute, Germany
Key Details
| Category | Information |
|---|---|
| Job Code | 2026_21 |
| Designation | Postdoctoral Research Fellow (Scientist) |
| Department | Department of Machine Learning and Systems Biology |
| Location | Martinsried (near Munich), Germany |
| Application Deadline | September 30, 2026 |
| Expected Start | Between December 2026 and June 2027 |
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Designation
Postdoctoral Research Fellow (Scientist)
Research Area
- Machine Learning and Systems Biology
- Graph Learning / Graph-based and Geometric Deep Learning
- Applications in Developmental and Evolutionary Biology & Genetics, Immunobiology and Infection Biology & Medicine, and Structural and Cell Biology.
Location
Max Planck Institute of Biochemistry Am Klopferspitz 18, 82152 Martinsried, Germany
Job Description
As part of the Department of Machine Learning and Systems Biology, the successful candidate will:
- Contribute to the future of machine learning for graph-structured data.
- Pioneer new algorithms specifically tailored for graph-structured data.
- Revisit classical graph problems through the lens of modern machine learning.
- Help define the next generation of generative models for graphs.
- Provide the methodological foundation for a broad range of downstream analyses.
- Apply methodological advances directly to frontier problems in biology using unique, large-scale experimental datasets generated across the institute.
Eligibility / Qualification
- Education: Ph.D. in computer science, machine learning, bioinformatics, or related fields.
- Experience: Strong interest and prior experience in developing machine learning methods. A background in graph-based or geometric deep learning is highly ideal.
- Language: Written and oral command of English is essential.
How to Apply
Interested candidates must submit their application in electronic form via the MPIB application portal. Complete application documents must include:
- A one-page letter containing a personal statement that describes your scientific accomplishments and your interest in the department and its research.
- Your Curriculum Vitae (CV) and bibliography.
- Contact information for at least two references.
Informal inquiries are welcome and should be sent to: borgwardt-office@biochem.mpg.de
Last Date for Apply
September 30, 2026 (Interviews will be held in October and November 2026).
