Postdoctoral Researcher (Protein Engineering)

Job summary

This position is for a postdoctoral researcher focused on the engineering of proteins that respond to environmental conditions, starting in September 2026. The role involves developing antibodies and nanobodies with condition-dependent activity as part of a project funded by the Villum Foundation, aiming to control protein-based toxins using binding proteins.

Qualifications

• PhD in Computer Science, Machine Learning, Artificial Intelligence, Computational Biology, or a related field.
• Strong theoretical and practical experience in deep learning.
• Hands-on experience with generative models.
• Proficiency in Python, PyTorch, and/or JAX.
• Experience training large-scale neural networks on HPC or GPU clusters.
• Strong publication record in relevant AI/ML venues or interdisciplinary journals.

Responsibilities

• Design and implement deep learning architectures for generating binding proteins.
• Develop and optimize generative models for binding protein design.
• Collaborate with wet lab scientists for testing designs.
• Publish research findings and contribute to grant applications.
• Manage scientific projects and mentor students.

Skills

• Experience with protein language models and structure prediction frameworks is advantageous.
• Familiarity with computational antibody discovery and molecular modeling.
• Experience with MLOps and scalable AI infrastructure is a plus.

Education

• A PhD degree (or equivalent) is required.

Tools

• Python, PyTorch, JAX, and deep learning frameworks.