项目介绍

2026年5月14日

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 master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s 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 see DTU’s 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 about career paths at DTU here.

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

You can read more about the DTU Compute at www.compute.dtu.dk/ and the section at www.compute.dtu.dk/sections/cogsys.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar “PhD relocation 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 than 19 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 master’s degree but cannot begin before having received it.