About the opportunity
The Faculty of Science at the University of Helsinki invites applications for a Doctoral Researcher in Atmospheric Sciences. The successful candidate will work on the AI-Dream project, focusing on developing criteria and evaluation suites to test the physical accuracy of deep Machine Learning (ML) models and making these models explainable using Deep Linear Probes and Latent Space Cartography. The researcher will be part of the dynamic meteorology group at the Institute for Atmospheric and Earth System Research (INAR) and will work in close collaboration with the University of Cambridge, Washington University, ECMWF, and Lahti University of Technology.
Salary and benefits
- Starting salary of approximately 2,700–2,900 euros per month, depending on qualifications and experience.
- Occupational health care and health insurance.
- Access to sports facilities.
- Opportunities for professional development.
- Opportunity to attend international conferences and present scientific work.
Who can apply?
- Recently completed an MSc degree in Physics, Meteorology, Computer Science, or a similar field (MSc students near completion are also encouraged to apply).
- Willingness to pursue a PhD degree in meteorology.
- Proficiency in written and spoken English.
- Strong experience in dynamic meteorology.
- Willingness to visit the University of Cambridge for a period of 3 months.
- Must have or obtain the right to pursue a doctoral degree at the University of Helsinki within a six-month probationary period.
- Previous experience in Python programming and statistical analysis of scientific data is desired.
- Previous experience in Machine Learning is an advantage.
Required documents
- One-page motivation letter highlighting research/educational accomplishments.
- Two-page CV highlighting relevant experience in Dynamic Meteorology, Machine Learning, or Numerical Weather Prediction.
- Bachelors/Masters degree grade card, including the thesis topic and grade.
When to apply
- Deadline for applications: August 28, 2026 (23:59 Europe/Helsinki time).
- Position starts latest in January 2027.
How to apply
- Submit all required documents as a single PDF document.
- Apply via the University of Helsinki Recruitment System by clicking "Apply now".
- University of Helsinki employees should apply via SAP Fiori.
Our Take on This Opportunity
This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.
You may be a strong fit if…
- Recent MSc graduates in Physics, Meteorology, or Computer Science.
- Candidates with strong experience in dynamic meteorology and Python programming.
- Those interested in the explainability and physical accuracy of deep Machine Learning models.
What should you think carefully about?
- The role requires a three-month visit to the University of Cambridge, so candidates should plan for this temporary relocation.
- Applicants must secure the right to pursue a PhD at the University of Helsinki within six months of starting.
How could this fit your current goals and plans?
This is an ideal opportunity for someone looking to launch a research career in AI-driven weather forecasting. It combines a funded PhD with high-level international collaboration with institutions like ECMWF and the University of Cambridge, providing a strong foundation for future academic or industry roles in climate science.
Our take
Highly recommended for MSc graduates in Physics or Computer Science who want to merge atmospheric science with cutting-edge AI research in a collaborative, international environment.
Ready to apply?
Review the opportunity on the official website before applying.
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