Andreas Laustsen-Kiel
2 weeks ago
Postdoc in AI and Machine Learning for Protein and Antibody Design at DTU Bioengineering Technical University of Denmark in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
A 4-year postdoc position is offered. The post does not specify stipend amount, tuition, or other financial details.
Country
Denmark
University
Technical University of Denmark

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About this position
Postdoctoral opportunity at DTU Bioengineering, Technical University of Denmark, in the Antibody Technologies Group led by Andreas Laustsen-Kiel. The project sits at the intersection of AI, machine learning, deep learning, generative models, and protein engineering, with a focus on designing antibodies, nanobodies, and other binding proteins that can respond to their environment and control biological function with high precision.
The successful candidate will develop computational methods for protein design and work closely with wet-lab scientists who will experimentally test the designs. The post highlights collaboration with leading international partners and offers substantial ownership of the computational side of the project, making it attractive for candidates aiming to build an independent research profile in computational biology and protein design.
Position: 4-year postdoc
Location: DTU Bioengineering, Technical University of Denmark
Research areas: AI, machine learning, protein engineering, antibody design, nanobody design, binding proteins, condition-dependent activity
Eligibility highlights: strong background in deep learning, generative models, and programming; interest in applying these tools to protein design; ambition to grow into a scientific leader.
Funding: The post announces a 4-year postdoc position, but does not specify salary or stipend details.
How to apply: Follow the application link in the post and submit your application through the linked page. The post encourages interested candidates to apply or share the opportunity.
Funding details
A 4-year postdoc position is offered. The post does not specify stipend amount, tuition, or other financial details.
What's required
Strong background in deep learning, generative models, and programming skills. Interest in applying computational methods to protein design and ambition to become a scientific leader are emphasized. The post also implies experience or willingness to work at the interface of computational and wet-lab biology.
How to apply
Use the linked application page to apply for the 4-year postdoc position. Review the post and follow the application link provided in the LinkedIn post.
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