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Technische Universität München (TUM) invites applications for an Academic PostDoc/Scientific Programmer in the AI Core Unit of BioSysteM. The role focuses on computational protein design and engineering, leveraging ML/AI to support cross-institutional research data harmonization and workflow standardization.
The position is funded until 2032 and offers TV-L based pay in a full-time academic staff capacity. Applicants should hold a PhD in biosciences, have hands-on experience with
Academic Position, PostDoc, Full time
Scientific Programmer—Computational Protein Design and Engineering
20.08.2026, Academic staff
We are looking for an experienced scientist (m/f/d) with knowledge of computational protein design and engineering to be part of the AI Core Unit of the BioSysteM Cluster of Excellence, as soon as possible. The position is situated at the Cluster of Excellence and is therefore tied to its duration until December 31, 2032.
The BioSysteM Cluster of Excellence is an international research network in which scientists from Munich's two universities, the Helmholtz Zentrum Munich and the Max Planck Institute of Biochemistry, collaborate on an interdisciplinary basis. Since January 1, 2026, the cluster is funded by the DFG as part of the Excellence Strategy of the German federal and state governments, with TUM serving as the administering university. The aim of BioSysteM to learn how to design and control biological systems in a targeted manner.
An integral part of BioSysteM is the AI Core Unit, a cross-institutional support unit. This unit aims to make machine learning (ML) and artificial intelligence (AI) accessible to the members of the Cluster of Excellence, as well as contribute to its development. The unit will establish central services that enable the efficient application of AI tools within the cluster. In addition to the head, this Core Unit comprises a small team of experienced research associates.
A key responsibility of the unit is the precise organization, harmonization, and exchange of research data, which will drive the application of ML approaches. Defining standards and databases for experimental protocols and digital workflows will be of critical importance, particularly for the establishment of a repository for validated lab protocols.
As a central member of this unit, we are looking for an expert in computational protein design and engineering. This person needs to be knowledgeable in common pipelines and workflows. Based on their technical experience, this scientific programmer will assist the implementation and execution of computational protein design or engineering campaigns in collaboration with members of BioSysteM. To enable the implementation of these solutions, this expert will have the computational infrastructure of the Core Unit at their disposal.
This scientific programmer will be responsible for the development and implementation of computational workflows for protein design and engineering. They will oversee and support the execution of these projects, and administrate the available hardware. Key responsibilities are:
We offer a full-time position as academic staff with the opportunity to work within a team of experts (domain specialists) in the AI Core Unit. The AI Core Unit is embedded in an excellent research environment and comes with outstanding, independently managed equipment and resources. The position will be limited to the funding period of BioSysteM. Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV-L).
TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: info@biosystem.design