项目介绍

2026年4月9日

Do you want to figure out why Bayesian deep learning doesn’t 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
• Master’s degree preferably in computer science, mathematics, or statistics

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

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. 

Assessment
The assessment of the applicants will be made by Søren Hauberg.

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 starting date is 1 August 2026 or according to mutual agreement.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Søren Hauberg <sohau@dtu.dk>, http://hauberg.org 

You can read more about DTU Compute at www.compute.dtu.dk 

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 22 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:

• A letter motivating the application (cover letter)
• Curriculum vitae 
• 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.

Applications received after the deadline will not be considered.