PhD Research Fellow in Climate Dynamics
Advance subseasonal-to-seasonal climate prediction using hybrid physics-AI models at the University of Bergen.
Best for:Best for aspiring climate scientists with a strong background in atmospheric dynamics and scientific programming in Python, R, or Matlab.
Overview
The Geophysical Institute at the University of Bergen invites applications for a 3-year PhD Research Fellow position in climate dynamics. Working within the NorCPMNext project at the Bjerknes Centre for Climate Research, the candidate will focus on AI-based downscaling of coarse-resolution climate model outputs to improve regional and local climate predictions. The successful applicant will collaborate with an international team of scientists to assess risks associated with extreme climate events. Expected duties include conducting independent research, publishing findings, and potentially participating in departmental teaching activities.
What you'll do
- Develop and apply AI-based downscaling methods for coarse-resolution climate model outputs.
- Conduct research on subseasonal-to-seasonal climate predictions and regional climate hazards.
- Perform stakeholder-oriented case studies assessing risks related to extreme weather events in Norway.
- Collaborate closely with scientific partners within the NorCPMNext project across multiple Norwegian research institutions.
- Prepare scientific manuscripts for publication in peer-reviewed journals.
- Participate in an approved educational training programme leading to a PhD degree.
Requirements
Degree required: Master's degree or equivalent education in atmospheric sciences, physics, applied mathematics, computer science or related disciplines
Degree offered: PhD
Language: English; good written and spoken proficiency
Instruction: English
- Demonstrated experience in atmospheric dynamics gained through academic coursework or research
- Proficiency in scientific programming using Python, R, Matlab, Julia, C/C++ or similar languages
- Ability to work independently and in a structured manner
- Good collaborative and interpersonal skills
- Must hold or successfully complete the required master's degree before starting the position
- Must satisfy enrollment requirements for the PhD programme at the Faculty of Mathematics and Natural Sciences
Funding & terms
How to apply
Deadline: 2026-10-15
Submit your application, motivation letter, project challenge statement, CV, transcripts, diplomas, publication list, and referee details through the Jobbnorge portal. Ensure all attachments are uploaded with certified translations into English or a Scandinavian language.
- CV
- Research interests and motivation statement
- Project challenge statement
- BSc + MSc transcripts
- Diplomas
- 2 reference letters
- Publication list
- English proficiency documentation
Contact
Francine Schevenhoven· Project Supervisor / Researcher
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