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ETH Zurich
We are seeking a motivated PhD candidate to join the Vogt Lab at ETH Zurich to develop deep-learning methods for protein design. You will build generative models that propose novel protein sequences and structures with target functions, and work with our experimental collaborators to test the most promising designs in the lab. WHAT YOU'LL DO • Develop and train generative / geometric deep-learning models for protein…
Vogt Lab — Machine Learning for Molecular Biology
Prof. Dr. Elena Vogt · Department of Biology (D-BIOL)
The Vogt Lab develops machine-learning methods to understand and design biological molecules. We sit at the interface of computational biology, structural biology and deep learning, and work closely with experimental groups to validate our predictions in the wet lab. The group hosts ~12 members from biology, physics, computer science and engineering, and is part of ETH Zurich's Department of Biology and the SIB Swiss…
Research focus
Protein structure & design with deep learning · generative models for molecular interactions · representation learning on biological sequences & graphs · ML-guided experimental design.
Selected publications
• Vogt E. et al. "Geometric deep learning for protein–ligand interaction prediction." Nature Methods (2025). • Keller M., Vogt E. "Diffusion models for de novo enzyme design." Cell Systems (2024). • Haas L. et al. "Self-supervised representations of glycan structures." Bioinformatics (2024).
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Institution
ETH Zurich
Department
Department of Biology (D-BIOL)
Location
🇨🇭 Zurich Switzerland
Category
🎓PhDWorkload
100%
Salary
CHF 50,000–53,000 / year (ETH scale)
Posted
14 Jun 2026
Deadline
31 Aug 2026First seen
14 Jun 2026 (3d ago)
Source
Posted by a lab
Zürich, Switzerland
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