Professor in Probabilistic Machine Learning for Science – DTU Compute
DTUCopenhagen, Capital Region of Denmark, Denmark
Posted March 18, 2026
Full Time
About the Company
DTU is a technical university that develops technology for people. With its international elite research and study programmes, DTU is helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals.
Job Description
DTU Compute is seeking a Professor in Probabilistic Machine Learning for Science to lead research in probabilistic machine learning, with a focus on areas such as deep generative models, Bayesian methods, and uncertainty-calibrated AI. The successful candidate will play a key role in strengthening DTU Compute's activities in probabilistic machine learning and will help build a strong research community around applied AI.
Requirements
- Define teaching within the core areas of DTU Compute
- Conduct innovative research in probabilistic machine learning
- Collaborate with academic and industrial partners
- Ensure high-quality teaching and supervision at all levels
- Attract research funding and understand its societal and scientific impact
Benefits
- Competitive salary and benefits
- Opportunities for professional development and growth
- Collaborative and dynamic work environment
- Access to state-of-the-art research facilities and equipment