Postdoc in Bayesian Deep Learning DTU Compute

Do you want to figure out why Bayesian deep learning doesnt work And afterwards fix it

At DTU Compute we are working towards building highly scalable Bayesian approximations that actually work for deep learning. The driving approach is to first figure out the root cause of why the usual tricks do not work and then secondly fix the issues.

You will join a highly motivated and collaborative team under the supervision of Søren Hauberg. 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 research.

Responsibilities and qualifications
You should have prior experience with machine learning from both a theoretical and practical perspective. Experience in one of the following topics will be appreciated but mostly we look for smart people who enjoy learning new things:

• Approximate Bayesian inference
• Differential geometry
• Numerical computations (ideally with experience in Jax)
• Large-scale computations

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

We tend to work in teams so a collaborative spirit is required.

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 February 2026 or according to mutual agreement. The positions are primarily full-time but other arrangements can be agreed upon.

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 atDTU Moving to Denmark.

Application procedure
Your complete online application must be submitted no later than 15 January 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.

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 UNs 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 13500 students and 6000 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.