Summary
The Max Planck Institute of Biochemistry (MPIB) in Martinsried near Munich is inviting applications for a Postdoctoral Research Fellow position in the Department of Machine Learning and Systems Biology, led by Prof. Dr. Karsten Borgwardt. The position focuses on developing innovative machine learning methods for large-scale biological data to connect predictive modeling with mechanistic biological insights across areas such as genome regulation, spatial proteomics, mass spectrometry, and protein design.
Designation
- Scientist / Postdoctoral Research Fellow (m/f/d)
Key Position Details
| Category | Details |
| Job Code | 2026_22 |
| Department | Department of Machine Learning and Systems Biology |
| Department Head | Prof. Dr. Karsten Borgwardt |
| Remuneration / Pay Scale | TVöD (German public service tariff scale), based on qualifications |
| Contract Duration | Initial appointment for 2 years (with possibility of extension) |
| Interview Window | October and November 2026 |
| Expected Start Date | Between December 2026 and June 2027 (earlier start preferred) |
| Application Deadline | September 30, 2026 |
Research Area
- Machine Learning & Systems Biology
- Developmental and Evolutionary Biology & Genetics
- Immunobiology and Infection Biology & Medicine
- Structural and Cell Biology
Location
Max Planck Institute of Biochemistry (MPIB)
Am Klopferspitz 18
82152 Martinsried near Munich, Germany
Eligibility / Qualification
- Education: Ph.D. in bioinformatics, computational biology, machine learning, computer science, or a related field.
- Experience: Strong background and demonstrated prior experience in developing and applying machine learning methods to biological/life science problems.
- Desirable Skills: Experience with bioinformatic preprocessing pipelines for large-scale biological datasets.
- Language Requirements: Excellent command of both written and oral English.
Job Description
- Develop advanced machine learning models and computational frameworks to decode how biological functions are represented across multi-modal molecular data.
- Connect predictive ML modeling with mechanistic biological understanding.
- Apply methodological innovations to high-impact biological problems, including spatial proteomics, mass spectrometry, genome regulation, and protein design.
- Utilize and analyze unique, large-scale biological datasets generated across the MPIB network.
How to Apply
Applications must be submitted electronically via the online Application Portal.
Required Documents
- Personal Statement / Cover Letter (1 page): Describing your scientific accomplishments and research interests relevant to the department.
- Curriculum Vitae (CV) & Bibliography
- References: Contact details for at least two professional references.
Informal Inquiries: Contact
borgwardt-office@biochem.mpg.defor questions regarding the role.
Last Date to Apply
September 30, 2026
