University of Helsinki
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2 months ago
PhD Scholarship
PhD Scholarship in Atmospheric Sciences / Meteorology / Dynamic Meteorology / AI Weather Forecasting University of Helsinki in Finland
Degree Level
PhD
Field of study
Computer Science
Funding
Fixed-term PhD scholarship/doctoral researcher position for 3 years starting latest in January 2027. The post is described as a PhD scholarship; no stipend amount, tuition, or other financial details are stated in the post.
Deadline
Sep 15, 2026
Country
Finland
University
University of Helsinki
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About this position
PhD scholarship opportunity in atmospheric sciences / meteorology / dynamic meteorology at the University of Helsinki, with a research focus on the AI-Dream project. The project studies how artificial intelligence can be used to improve weather forecasting by simplifying complex AI models and comparing them with traditional physics-based weather models. The work combines weather forecasting, numerical weather prediction, machine learning, Python programming, and statistical analysis of scientific data.
The position is for a doctoral researcher starting latest in January 2027 on a fixed-term 3-year contract in Helsinki, Finland. The candidate should be motivated to pursue a PhD in meteorology, have strong background in dynamic meteorology, and show interest in research close to the project scope. Prior experience in Python and statistical analysis is preferred, and machine learning experience is an advantage. The post also requires good English skills, independent creative thinking, self-discipline, and reasonable communication skills.
Applicants must prepare a one-page motivation letter, a two-page CV highlighting relevant experience in Dynamic Meteorology, Machine Learning, or Numerical Weather Prediction, and a Bachelors/Masters degree grade card including thesis topic and grade. The post mentions a 3-month research visit to the University of Cambridge to work with Pr. Driscoll.
The linked University of Helsinki doctoral admissions page explains that doctoral applications are submitted online during the admission period, with required attachments and language proof. For the fall 2026 doctoral admission round, the deadline is 2026-09-15. Funding details beyond the scholarship/doctoral researcher contract are not specified in the post.
Funding details
Fixed-term PhD scholarship/doctoral researcher position for 3 years starting latest in January 2027. The post is described as a PhD scholarship; no stipend amount, tuition, or other financial details are stated in the post.
What's required
Applicant should be willing to pursue a PhD in meteorology and have good written and spoken English, strong experience in dynamic meteorology, and interest in research aligned with the project scope. Previous experience in Python programming and statistical analysis of scientific data is desired, and machine learning experience is an advantage. The candidate should be able to work independently with creative thinking, self-discipline, and reasonable communication skills, and be willing to visit the University of Cambridge for 3 months to work with Pr. Driscoll. Application materials include a one-page motivation letter, a two-page CV highlighting relevant experience in Dynamic Meteorology, Machine Learning, or Numerical Weather Prediction, and Bachelors/Masters degree grade card including thesis topic and grade.
How to apply
Prepare a one-page motivation letter, a two-page CV, and your Bachelors/Masters degree grade card with thesis topic and grade. Submit the application through the linked application portal during the relevant doctoral admissions period.
More information can be found here
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