Doctoral Researcher in Atmospheric Sciences / AI-Dream: Deep Learning, Explainable AI, and Dynamic Meteorology University of Helsinki in Finland

Open call for a Doctoral Researcher position at the University of Helsinki in Atmospheric Sciences, within the AI-Dream project.

The project focuses on developing criteria and evaluation suites to test the physical accuracy of deep machine learning models, with additional work on explainable AI using Deep Linear Probes and Latent Space Cartography. The role also involves large dataset management in a HPC environment.

The successful candidate will work with dynamic meteorology and may visit Professor Simon Driscoll at the University of Cambridge for several months. The post is announced by Clément Bouvier, Principal Investigator at the University of Helsinki.

Eligibility highlights: willingness to pursue a PhD in meteorology, excellent English, strong background in dynamic meteorology, and desirable experience in Python programming, statistical analysis of scientific data, and machine learning.

Application deadline: 28 August 2026.

Interested applicants should use the official University of Helsinki job posting and follow the application instructions on the careers page.