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University of Bergen

Postdoctoral Research Fellow in Physics of Weather and Climate and Machine Learning University of Bergen in Norway

Degree Level

Postdoc

Field of study

Computer Science

Funding

Fixed-term postdoctoral position for 3 years, with possible extension up to 4 years total in some cases. Gross annual salary is NOK 685,900 upon appointment, with possible higher salary for a particularly well-qualified applicant. Includes enrolment in the Norwegian Public Service Pension Fund and welfare benefits. The project is funded by an ERC Starting Grant.

Deadline

Oct 12, 2026

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Country

Norway

University

University of Bergen

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Keywords

Computer Science
Environmental Science
Climatology
Spatial Analysis
Earth Science
Statistics
Physics
ML

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About this position

University of Bergen is advertising a Postdoctoral Research Fellow position in the physics of weather and climate, with a strong focus on machine learning for the Earth system. The role is based at the Geophysical Institute and the Bjerknes Center for Climate Research in Bergen, Norway, and is part of the ERC Starting Grant project RAPTURE (Reaching AI Projections Trustworthy for Unseen Rainfall Extremes).

The project combines high-resolution physical simulations, machine-learning climate emulators, and dynamical meteorology to study extreme rainfall and climate hazards. The successful candidate will train and refine cutting-edge ML emulators, use diagnostic tools to assess their physical realism, and contribute to questions about trustworthy climate projections, data sources for reliable predictions, and modelling weather systems in data-sparse regions.

Eligibility: applicants must hold a PhD or equivalent doctoral degree in atmospheric physics, meteorology, climate science, or machine learning. PhD students may apply only if the defence is completed by March 2027, and the PhD must be awarded for employment. Strong mathematical, analytical, and programming skills are required. Experience with Python, geospatial data analysis, HPC, PyTorch, and GitHub is an advantage. Good written and spoken English is required.

Funding and terms: the appointment is fixed-term for 3 years, with possible extension up to 4 years total in some cases. The gross annual salary is NOK 685,900 on appointment, with pension enrolment and welfare benefits.

Application deadline: 12 October 2026. Apply via JobbNorge with a cover letter, CV, transcripts/diplomas, proof of expected PhD completion if relevant, references, and a list of relevant scientific works.

Contacts: Dr. Joshua Oldham-Dorrington and Head of Department Tor Eldevik at the Geophysical Institute, University of Bergen.

Funding details

Fixed-term postdoctoral position for 3 years, with possible extension up to 4 years total in some cases. Gross annual salary is NOK 685,900 upon appointment, with possible higher salary for a particularly well-qualified applicant. Includes enrolment in the Norwegian Public Service Pension Fund and welfare benefits. The project is funded by an ERC Starting Grant.

What's required

Applicants must hold a PhD or equivalent doctoral degree in atmospheric physics, meteorology, climate science or machine learning. PhD students may apply only if the PhD defence is completed by March 2027, and the PhD must be awarded for employment. Strong mathematical and analytical skills are required, along with an interest in extreme-event meteorology and machine learning for the earth system. Strong programming skills are required; experience with geospatial data analysis in Python, scientific HPC environments, machine learning frameworks such as PyTorch, and version control such as GitHub is an advantage. Applicants must work independently and in a structured manner, collaborate well, and have good written and spoken English.

How to apply

Prepare a cover letter, CV, transcripts and diplomas, proof of expected PhD award if not yet completed, relevant certificates/references, and a list of relevant scientific works. Upload the application and certified translations in English or a Scandinavian language through JobbNorge.

More information can be found here

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