PhD scholarship in Probabilistic Machine Learning for Decision-Making under Uncertainty DTU Compute

Are you interested in probabilistic machine learning uncertainty quantification and sequential decision-making

Then this PhD position may be for you. DTU Compute invites applications for a fully funded PhD scholarship with a duration of three years.

The PhD project is part of the research grant Active Inference for Dynamic Pricing funded by the Fund of 20th December. The overall aim of the project is to investigate active inference as a principled framework for developing robust methods for sequential decision-making under uncertainty building on state-of-the-art machine learning methods and architectures. The project will investigate and validate the developed methodology through several real-world applications including dynamic pricing.

Responsibilities and qualifications
As a PhD candidate you will conduct independent and collaborative research on probabilistic machine learning and active inference for sequential decision-making under uncertainty. Your work will involve developing novel models and algorithms as well as implementing and evaluating them using modern machine learning frameworks. You will investigate the proposed methodology through realistic use cases including dynamic pricing. The position also includes disseminating research results through publications in leading international journals and conferences and participating in scientific collaborations. As part of the PhD programme you will complete relevant coursework and contribute to the academic environment at DTU Compute including limited teaching and supervision activities.

Qualifications:

• Strong background in probabilistic machine learning and deep learning
• Mathematical maturity
• Experience in working for HPC enviroments
• Solid programming skills (Python modern machine learning frameworks like PyTorch JaX Tensorflow etc.)

You must have a two-year masters degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year masters degree.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme please seeDTUs rules for the PhD education.

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 appointment terms
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 3 years. Preferred start date is 1September 2026 or according to mutual agreement.

You can read more aboutcareer paths at DTU here.

Further information
For further information contact Associate Professor Bjørn Sand Jensen () or Associate Professor Michael Riis Andersen () from the section of Cognitive Systems at DTU Compute.

You can read more about the DTU Compute at the section at If you are applying from abroad you may find useful information on working in Denmark and at DTU atDTU Moving to you have the option of joining our monthly free seminar PhDrelocation to Denmark and startup Zoom seminar for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.

Application procedure
Your complete online application must be submitted no later than19 May 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:

• A letter motivating the application (cover letter max. 1 A4 page)
• Curriculum vitae (max. 2 pages)
• Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale

You may apply prior to obtaining your masters degree but cannot begin before having received it.

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 Applied 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 balance. Read 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.