Kiel University
6 days ago
Postdoc in Computational Bioinspired Materials and Biosensor Technologies at Kiel University Kiel University in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
3-year full-time postdoctoral contract at TV-L E13. Teaching in English is included; habilitation is possible. Supercomputing access and collaborations across materials science, engineering, computer science, and medicine are mentioned.
Deadline
Oct 31, 2026
Country
Germany
University
Kiel University

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About this position
Postdoc position at Kiel University, Germany in the Chair for Bioinspired Materials and Biosensor Technologies (Prof. Zeynep Altintas), Institute for Materials Science, Faculty of Engineering.
The project focuses on computational design of bioinspired materials, including synthetic receptors, molecularly imprinted polymers, nanocomposites, and functional interfaces. The work combines molecular modeling, molecular dynamics, QM/DFT, and in-house machine learning, with experimental validation.
Typical tasks include molecular modeling of biomolecular recognition, MD simulations of proteins, peptides, and polymers, AI/ML workflows for materials discovery, publications, proposal writing, student supervision, and teaching.
Applicants should hold a PhD in computational chemistry, biology, bioinformatics, materials science, or a related field. Required skills include MD, QM/DFT, docking, free-energy methods, ML/deep learning, HPC, and Python. Experience with GROMACS, AMBER, CHARMM, NAMD, or OpenMM is desirable. A strong publication record and excellent English are expected.
The position is a 3-year full-time contract at TV-L E13. Teaching is in English, habilitation is possible, and supercomputing access plus interdisciplinary collaborations are available.
Deadline: 31 Oct 2026. Start: earliest possible.
Funding details
3-year full-time postdoctoral contract at TV-L E13. Teaching in English is included; habilitation is possible. Supercomputing access and collaborations across materials science, engineering, computer science, and medicine are mentioned.
What's required
PhD in computational chemistry, biology, bioinformatics, materials science, or a related field. Required skills include molecular dynamics, QM/DFT, docking, free-energy methods, machine learning/deep learning, HPC, and Python. A strong publication record and excellent English are required; experience with GROMACS, AMBER, CHARMM, NAMD, or OpenMM is desirable.
How to apply
Apply via the Kiel University jobs portal. Use the posted vacancy page and submit your application before 31 Oct 2026. The post also provides the contact email [email protected] for inquiries.
More information can be found here
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