Research & Development
Postdoc in AI-driven design of environment-responsive antibodies and nanobodies - DTU Bioengineering
Summary
Postdoc en diseño computacional de anticuerpos, nanocuerpos y proteínas de unión sensibles al entorno, desarrollando modelos de aprendizaje profundo y colaborando con científicos de laboratorio para probar los diseños.
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Opportunity summary
Are you interested in using machine learning to design proteins that respond to their environment and control biological function with high precision? We are looking for a postdoc for a 4-year position starting 1st of September 2026 (or soon thereafter) in the Antibody Technologies Group at DTU Bioengineering, led by Professor & Head of Section Andreas Hougaard Laustsen-Kiel.
In this project, you will work at the interface of machine learning and protein engineering, computationally designing antibodies, nanobodies, and binding proteins with condition-dependent activity. You will develop deep learning and generative models for binder design, work closely with wet lab scientists who express and test your designs, and collaborate with leading international partners.
The position offers the opportunity to take ownership of your project and contribute to new strategies for controlling protein function in complex biological environments.
The research project
PROTÆCT This postdoc position is part of the Villum Foundation funded project, PROTÆCT:
Precision Regulation Of Toxin Activity through Environmentally-Controlled Targeting, which aims to uncover how protein-based toxins can be controlled using binding proteins that respond to environmental cues such as pH and metal ions1 …
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