Postdoc: AI-Driven Design of Environment-Sensing Antibodies

Technical University of Denmark (DTU); Kongens Lyngby; On-site; DKK 420,000 - 540,000; Full time

Job summary

DTU Bioengineering in Denmark seeks a postdoctoral researcher to design environment-sensing antibodies and binding proteins using machine learning. You will work at the interface of ML and protein engineering, developing deep learning and generative models, and collaborating with wet lab scientists to test designs.

You will join an international, interdisciplinary team in the Antibody Technologies Group, contributing to translational biotechnological solutions and advancing computational methods

Qualifications

• PhD in Computer Science, Machine Learning, Artificial Intelligence, Computational Biology, or closely related field.
• Strong theoretical and practical experience in deep learning.
• Hands-on experience developing generative models.
• Proficiency in Python, PyTorch and/or JAX.
• Experience training large-scale neural networks on HPC or GPU clusters.
• Experience with representation learning and sequence/structural modeling.
• Strong publication record in AI/ML venues or interdisciplinary journals.
• Ability to work independently and drive technical innovation.
• Ability to manage projects and mentor students.

Responsibilities

• Designing and implementing state-of-the-art deep learning architectures for generating binding proteins.
• Developing generative models for de novo design of environment-sensing proteins
• Collaborating with wet lab scientists to validate designs
• Publishing results in high-impact journals and contributing to grant applications
• Scientific project management and co-leadership
• Mentoring PhD and MSc/BSc students

Skills

Deep learning

Generative models

Python

PyTorch

JAX

HPC/GPU training

sequence modeling

representation learning

independent work

mentoring

Education

PhD in Computer Science/ML/AI/Computational Biology

Tools

Python

PyTorch

JAX

Job description

DTU Bioengineering in Denmark seeks a postdoctoral researcher to design environment-sensing antibodies and binding proteins using machine learning. You will work at the interface of ML and protein engineering, developing deep learning and generative models, and collaborating with wet lab scientists to test designs.

You will join an international, interdisciplinary team in the Antibody Technologies Group, contributing to translational biotechnological solutions and advancing computational methods