Description

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 1^st 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 ions.

Most engineered proteins function under static conditions, whereas biological systems are dynamic. PROTÆCT addresses this by developing binding proteins with condition-dependent activity, enabling selective modulation of protein function in defined microenvironments.

You will computationally design antibodies and nanobodies whose binding changes with environmental conditions. This could e.g. enable the development of proteins that are only active in specific tissue environments or are activated when conditions change during a fermentation process, with potential applications in targeted therapeutics, biosensing, and synthetic biology.

The project integrates computational design with advanced in vitro selection technologies. You will play a central role in developing the computational models and in linking these to how environmental factors influence protein–protein interactions.

The research group
You will join the Antibody Technologies Group at DTU Bioengineering, working at the interface of toxinology, antibody engineering, and protein science. The group has a strong track record in developing recombinant antivenoms, environment-responsive antibodies, and translational biotechnological solutions.

We are an international and interdisciplinary team combining experimental and computational expertise. You will be expected to take ownership of your project and work independently, while contributing to a collaborative environment where ideas and expertise are shared across the team.

The group offers a setting with strong academic and industrial connections, providing opportunities to engage with leading collaborators and contribute to research with both fundamental and translational impact.

Responsibilities and qualifications
The postdoc project will focus on in silico design, discovery, and characterization of environment-sensing binding proteins targeting natural toxins.

Key tasks may include:

Designing and implementing state-of-the-art deep learning architectures for generating binding proteins that sense their biochemical environment
Developing and optimizing generative models for de novo design of binding proteins that sense their biochemical environment
Collaborating closely with wet lab scientists who will express and test the designs that have been created
Publishing results in impactful journals and contributing to future grant applications
Scientific project management and co-leadership
Mentoring and training PhD students and MSc/BSc students

We are looking for a candidate who:

Holds a PhD in Computer Science, Machine Learning, Artificial Intelligence, Computational Biology, or a closely related field
Has strong theoretical and practical experience in deep learning
Has hands-on experience developing generative models
Is highly proficient in Python, PyTorch and/or JAX
Has experience training large-scale neural networks on HPC or GPU clusters
Has experience with representation learning and sequence or structural modeling
Has a strong publication record in relevant AI/ML venues or interdisciplinary journals
Demonstrates the ability to work independently and drive technical innovation
Demonstrates the ability to manage projects and mentor students

It will be considered an advantage if you have:

Experience with protein language models (e.g., ESM, ProtT5) and/or antibody specific language models (e.g., AntiBERTy, AbLang2)
Experience with structure prediction frameworks, geometric deep learning, or graph neural networks
Familiarity with computational antibody/binder discovery or molecular modeling

The candidate will collaborate closely with other postdocs and PhD students as well as our international collaborators (particularly University of Porto and the Scripps Research Institute) to strengthen computational and interdisciplinary skills.

As a formal qualification, you must hold a PhD degree (or equivalent).

Assessment
The assessment of applicants will be made by Professor & Head of Section Andreas Hougaard Laustsen-Kiel together with relevant colleagues, group members, and/or project partners.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. In addition, supplements can be negotiated in accordance with DTU’s salary structure for scientific staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures.

The period of employment is 4 years. Desired starting date is 1 February 2027. The position is a full-time position.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Professor & Head of Section Andreas Hougaard Laustsen-Kiel (ahola@bio.dtu.dk).

You can read more at www.bioengineering.dtu.dk

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application procedure
Your complete online application must be submitted no later than 3 November 2026 (23:59 Danish time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

Application (cover letter)
CV
Academic Diplomas (MSc/PhD – in English)
List of publications

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

The Department of Biotechnology and Biomedicine (DTU Bioengineering) is an international leader in the areas of biotechnology and biomedicine. Our engineering approach to all aspects of biotechnology and biomedicine positions us as a valuable player with unique competences in a growing bio-based economy and with health systems transforming towards personalized medicine. We have a clear focus on the needs in the life science- and biotech industries and point towards innovation, new businesses, and scientific services for the benefit of society. The department has extensive collaborations with national and international research units and industry. DTU Bioengineering has approx. 400 employees, of which 2/3 are scientific staff. The department is located at DTU Lyngby Campus.

DTU – For the benefit of society since 1829
DTU is one of Europe's leading elite technical universities. Through research and education at an international top level, we create solutions to the major societal challenges of our time and help secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13,800 students, 1,600 PhD students, and 6,500 employees. We work in an international environment and have an inclusive, stimulating, and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.

Postdoc in AI-driven design of environment-responsive antibodies and nanobodies - DTU Bioengineering jobs

Postdoc in AI-driven design of environment-responsive antibodies and nanobodies - DTU Bioengineering