University of Oslo
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Postdoctoral Research Fellow in Remote Sensing and Modeling of the Cryosphere University of Oslo in Norway
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time postdoctoral fellowship for three years, with 10% devoted to career-promoting work such as teaching. Salary is NOK 595,000–690,000 depending on competence and experience, with 2% statutory pension contribution deducted. The position may be extended by up to 12 months if the fellow secures and is granted funding for a full-time research stay abroad, up to a maximum total employment of four years.
Deadline
Oct 13, 2026
Country
Norway
University
University of Oslo
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About this position
University of Oslo is inviting applications for a Postdoctoral Research Fellow position in remote sensing and modeling of the cryosphere at the Department of Geosciences, Faculty of Mathematics and Natural Sciences, in Oslo, Norway.
The position sits within the Section for Physical Geography and Hydrology and connects to a strong research environment in glaciology, cryosphere science, remote sensing, photogrammetry, geohazards, hydrology, geomatics, machine learning, data science, and data assimilation. The successful candidate will work on snow and glaciers in mountain regions worldwide, with opportunities for international collaboration, field work in mountain and Arctic environments, and engagement with major projects and space-agency partnerships.
Relevant project links mentioned include the ERC Synergy Grant SnowShifts, the Schmidt Sciences project MountAInWater, and several ESA projects such as Glaciers_CCI, Permafrost_CCI, Karakoram Anomaly, and the forthcoming Harmony mission.
The research focus is to develop and apply cutting-edge remote sensing or photogrammetry methods together with data science approaches such as machine learning and data assimilation via cryospheric models. Prior experience in cryospheric and mountain processes, automated processing of large Earth observation datasets, Bayesian inference, or probabilistic machine learning is considered beneficial.
This is a full-time postdoctoral fellowship for three years, with 10% of the time devoted to career-promoting work such as teaching. Salary is listed at NOK 595,000–690,000 depending on competence and experience. The position may be extended by up to 12 months if the fellow secures funded full-time research stay abroad, up to a maximum of four years.
Applicants must hold a degree equivalent to a Norwegian doctoral degree in geomatics, geosciences, geophysics, environmental sciences, computer/data science, or a related field. The doctoral dissertation must be submitted by the deadline, and only candidates with an approved thesis and public defence are eligible. Strong quantitative skills, scientific programming experience, fluent English, and a strong publication record are required.
Deadline: 13 October 2026. Apply via Jobbnorge with a cover letter, CV, transcripts/certificates, publication list, selected works, and references.
Funding details
Full-time postdoctoral fellowship for three years, with 10% devoted to career-promoting work such as teaching. Salary is NOK 595,000–690,000 depending on competence and experience, with 2% statutory pension contribution deducted. The position may be extended by up to 12 months if the fellow secures and is granted funding for a full-time research stay abroad, up to a maximum total employment of four years.
What's required
Applicants must hold a degree equivalent to a Norwegian doctoral degree in geomatics, geosciences, geophysics, environmental sciences, computer/data science, or a relevant related field. The doctoral dissertation must be submitted for evaluation by the closing date, and only applicants with an approved doctoral thesis and public defence are eligible for appointment. Candidates must have fluent oral and written English, a strong quantitative background, documented interest in remote sensing or photogrammetry and related data science approaches, strong interest in geosciences/climate sciences, scientific programming experience for data processing, analysis or modeling of the cryosphere, and a strong publication record showing creativity and independent research. Experience or interest in cryospheric and mountain processes, field work in high-mountain/cold environments, automated processing of large Earth observation datasets, Bayesian inference, or probabilistic machine learning is advantageous.
How to apply
Prepare a cover letter, CV, copies of educational certificates and transcripts, a complete publication list with up to five selected works, and contact details for 2–3 references. Submit the application and attachments through the Jobbnorge recruitment system via the Apply for this job link. Ensure documentation is in English or a Scandinavian language and retrieve education results from Vitnemålsportalen if available.
More information can be found here
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