Postdoc in Epistatic-Aware Machine Learning for Protein Engineering DTU Compute

Kgs. Lyngby - Denmark

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Description

The postdoc will develop machine learning for protein engineering including: (1) investigating how epistatic effects in proteins can be captured by machine learning models; (2) develop machine learning models for protein engineering that are able to optimize additive as well as epistatic effects.

The work will be in collaboration with domain experts who will be working on optimizing an NADPH-dependent enzyme called formate dehydrogenase. Optimizing this enzyme will be a model system used to evaluate the developed methods.

You will join a highly motivated and collaborative team under the supervision of Søren Hauberg Wouter Boomsma and Carlos G. Acevedo-Rocha. The research environment favors creative slow thinking style research and we emphasize having fun along the way. Our work is consistently published at the top venues of machine learning and protein research.

Responsibilities and qualifications
You should have prior experience with machine learning from both a theoretical and practical perspective. Experience in the following topics will be appreciated:

Machine learning for protein engineering
Bayesian optimization
Uncertainty quantification

Basic understanding of proteins and biology is also an advantage. We tend to work in teams so a collaborative spirit is required.

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

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. The allowance will be agreed upon with the relevant union.

The period of employment is 2 years. Starting date is 1 September 2026 or according to mutual agreement. The position is a full-time position.

You can read more aboutcareer paths at DTU here.

Further information
Further information may be obtained from Søren Hauberg <> .

You can read more about DTU Compute at .

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 26 April 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.

DTU Compute
DTU Compute Department of Mathematics and Computer Science is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics data science computer science and computer engineering including artificial intelligence (AI) machine learning internet of things (IoT) chip design cybersecurity human-computer interaction social networks fairness and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world as a basis for the analysis design and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health green transition energy supply and life science. We collaborate with universities public and private organisations and companies in Denmark and abroad and through DTUs startup ecosystem we encourage innovation and entrepreneurship. We have a strong ethical human and sustainable approach that ensures integrity in our work. Therefore we strive for and take responsibility for driving the democratisation of digital technologies so that everyone has the opportunity to actively participate in the development and we ensure a continued open democratic and inclusive society for the benefit of all. At DTU Compute we value diversity inclusion and a flexible work-life more about us at.

DTU For the benefit of society since 1829
DTU is one of Europes 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 Europes 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 13800 students 1600 PhD students and 6500 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.

Required Experience:

DescriptionThe postdoc will develop machine learning for protein engineering including: (1) investigating how epistatic effects in proteins can be captured by machine learning models; (2) develop machine learning models for protein engineering that are able to optimize additive as well as epistatic ...