Position Summary
Position:
Department:
Department of Materials and Surface Engineering
Institute:
Denmark Technical University
Country:
Denmark
Research Field:
Machine Learning
Posted Date:
Mar 26, 2026
Deadline:
Apr 26, 2026
Offer Period:
2 Years
Offer Start Date:
Sep 01, 2026
Postdoc position in Epistatic-Aware Machine Learning for Protein Engineering
Project 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.
Your responsibility will be to:
- Design and carry out organic and inorganic syntheses
- Develop and optimize electrochemical experiments and measurements
- Characterize materials and compounds using standard analytical techniques
- Analyse data and document results
- Collaborate with researchers across different disciplines
- Contribute to publications, reports, and project deliverables
- You will also actively participate in the supervision and mentoring of bachelor’s, master’s, and PhD students.
Required Qualification:
Essential Qualification:
- 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).
- 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).
Preferred Qualification:
Not Available
Employment Conditions and Benefits:
Contract duration:
- 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.
Benefits:
- 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.
- 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.
Application Process:
Documents Required:
- A motivation letter (cover letter)
- CV
- Academic Diplomas (MSc/PhD – in English)
- List of publications
How to apply:
- 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.
- Applications received after the deadline will not be considered.
About the Host Lab Group/Institution:
DTU Energy is focused on education, research, and development within functional materials and their application in sustainable energy technologies. In a sustainable energy system, a large part of the energy will be supplied by fluctuating sources such as solar and wind power. This makes it critically important to be able to convert and store the energy as needed. Our research areas include fuel and electrolysis cells, solar cells, and batteries as well as advanced filtration devices. We are ca. 300 employees. Additional information about the department can be found on http://www.energy.dtu.dk. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
Explore Other Similar Positions:
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Frequently Asked Questions:
Who can apply for a postdoctoral position?
Postdoctoral positions are open to candidates who have completed a PhD or will complete their doctoral degree before the start date. Eligibility requirements may vary depending on the funding scheme and host institution.
Can international candidates apply?
Yes. Most postdoctoral positions are open to international applicants. Visa sponsorship and work permit support are usually provided by the host institution, subject to local regulations.
Is prior postdoctoral experience required?
In most cases, prior postdoctoral experience is not mandatory. However, candidates with relevant research experience beyond the PhD may be preferred for certain positions.
What is the typical duration of a postdoctoral contract?
Postdoctoral contracts typically range from six months to three years, with the possibility of extension depending on funding availability and performance.
Are teaching responsibilities included?
Teaching responsibilities vary by institution and position. Some postdoctoral roles are research-only, while others may include limited teaching or supervision duties.
Can I apply for multiple postdoctoral positions?
Yes. Candidates are encouraged to apply for multiple suitable postdoctoral positions to increase their chances of selection.
Disclaimer:
This position is published for informational purposes. Please refer to the official application link for the most accurate and up-to-date details.