Publisher
source

Nansen Environmental and Remote Sensing Center

Just Landed

Postdoctoral Fellow in Climate Reanalysis, Data Assimilation, and Machine Learning Nansen Environmental and Remote Sensing Center in Norway

Degree Level

Postdoc

Field of study

Computer Science

Funding

Three-year postdoctoral research fellow position. Salary according to qualifications; other benefits include pension schemes and flexible working hours. The post is a full-time employment position, not a scholarship.

Deadline

Oct 27, 2026

Country flag

Country

Norway

University

Nansen Environmental and Remote Sensing Center

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Environmental Science
Mathematics
Geophysics
Earth Science
Data Assimilation
Physics
ML

Suggested positions

About this position

Vacant three-year postdoctoral fellow position in climate reanalysis at the Nansen Environmental and Remote Sensing Center in Bergen, Norway.

The project sits within the center’s Climate Dynamics and Prediction group and its work on data assimilation, climate prediction, and long-term coupled reanalyses. The successful candidate will help develop a hybrid AI-physics version of NorCPM for long coupled reanalysis, combining the Norwegian Earth System Model with machine learning forecasting systems such as GraphCast and GLONET. The role is linked to the EU project CLIMATE_NEXT, which aims to reduce reanalysis computational costs, improve fidelity and physical consistency, and maximize use of observations.

Research keywords: climate reanalysis, data assimilation, Ensemble Kalman Filter (EnKF), machine learning, geophysics, climate modelling, climate dynamics, climate prediction, ocean forecasting.

Eligibility highlights: applicants should hold a degree equivalent to a Norwegian doctoral degree in climate, meteorology, oceanography, and/or applied mathematics. The doctoral dissertation must already be submitted for evaluation by the deadline, and only candidates with an approved doctoral thesis and defence are eligible for employment. Strong programming skills (Fortran, shell scripting, Python/Matlab/R) and fluent English at C1 level are required. Experience with climate simulations, reanalysis, EnKF, machine learning, or climate prediction is an advantage.

Funding and conditions: this is a paid postdoctoral employment position with salary according to qualifications, plus pension schemes and flexible working hours. It is not described as a scholarship.

Application window: deadline is 27 October 2026. Start date is 1 March 2027. Apply via the job portal button and include a CV with contact information and two references.

Funding details

Three-year postdoctoral research fellow position. Salary according to qualifications; other benefits include pension schemes and flexible working hours. The post is a full-time employment position, not a scholarship.

What's required

Applicants must have a degree equivalent to a Norwegian doctoral degree in climate, meteorology, oceanography, and/or applied mathematics. The doctoral dissertation must be submitted for evaluation by the application deadline, and only applicants with an approved doctoral thesis and defence are eligible for employment. Strong programming skills (e.g., Fortran), shell scripting, and data analysis software skills (Python, Matlab, or R) are required. Fluent spoken and written English at C1 Advanced level is required. Experience in climate modelling and simulations, reanalysis, ensemble-based data assimilation methods (especially EnKF), machine learning, and climate dynamics/prediction is an advantage.

How to apply

Click the "Apply for this job" button on the posting page and submit the application electronically. Include a CV with contact information and two references. Applications may be reviewed and candidates contacted before the deadline.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?