Max Planck Institute of Biochemistry
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Postdoctoral Research Fellow in Graph Learning Max Planck Institute of Biochemistry in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
Paid postdoctoral position with salary according to qualifications and TVöD (German public service tariff scale). Initial appointment is for two years with the possibility of extension.
Deadline
Sep 30, 2026
Country
Germany
University
Max Planck Institute of Biochemistry

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About this position
Postdoctoral Research Fellow (m/f/d) in Graph Learning at the Max Planck Institute of Biochemistry in Martinsried near Munich, Germany.
This postdoctoral opening is hosted by the Department of Machine Learning and Systems Biology headed by Prof. Dr. Karsten Borgwardt. The project focuses on graph learning, machine learning, graph-structured data, and geometric deep learning, with applications to frontier problems in biology using large-scale experimental datasets.
The successful candidate will develop new algorithms for graph-structured data, revisit classical graph problems with modern machine learning, and contribute to generative models for graphs. The work sits at the intersection of computer science, bioinformatics, and biology.
Eligibility: applicants should hold a Ph.D. in computer science, machine learning, bioinformatics, or a related field. Prior experience in machine learning method development is expected, ideally with a background in graph-based or geometric deep learning. Strong written and oral English skills are required.
Funding: this is a paid postdoctoral position; salary is according to qualifications and the German public service tariff scale (TVöD). The initial appointment is for two years, with the possibility of extension.
How to apply: submit a one-page letter with a personal statement, CV, bibliography, and contact details for at least two references via the application portal. Informal inquiries can be sent to [email protected].
Deadline: 2026-09-30. Interviews are planned for October and November 2026, and the preferred start date is between December 2026 and June 2027.
Funding details
Paid postdoctoral position with salary according to qualifications and TVöD (German public service tariff scale). Initial appointment is for two years with the possibility of extension.
What's required
Ph.D. in computer science, machine learning, bioinformatics, or a related field. Strong interest and prior experience in developing machine learning methods, ideally with a background in graph-based or geometric deep learning. Written and oral English proficiency is essential.
How to apply
Prepare a one-page letter with a personal statement, CV, bibliography, and contact information for at least two references. Submit the complete application electronically through the application portal before the deadline.
More information can be found here
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