Association of Polar Early Career Scientists

 

Job Board

PhD: Causal-informed Machine Learning Methods for Climate Modelling - DTU Compute
Kgs. Lyngby, Denmark
DTU
  • Graduate Position
2026-08-09

Do you want to do research on causal-informed machine learning methods for climate modelling? 

If you are establishing a career as a researcher in machine learning and are motivated to work with the latest generative models for climate modelling, we can offer you a strong foundation.

We seek a highly motivated and talented PhD student to join our group at DTU Compute, offering a fully funded PhD scholarship (3-year employment) in a vibrant interdisciplinary research environment. The position is part of the research project “IcyAlert - Intelligent Climate Early Warning Alert for Arctic Ice-Free Summers”, funded under the NNF Grand AI Challenge programme. You will become part of an enthusiastic team working closely with collaborators at DMI (Danish Meteorological Institute) and RMI (Royal Meteorological Institute of Belgium) to advance neural network-based methods for climate modelling. 

2026-07-07

Contact APECS

APECS International Directorate
UiT The Arctic University of Norway
Huginbakken 14
9019 Tromsø
Norway
Email: info(at)apecs.is

Our Sponsors

APECS Directorate Sponsor
 
UiTNPIFRAM
 
Further Sponsors and Partners for APECS projects, activities and events