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PhD Research Fellow in Remote Sensing of the Cryosphere at the University of Oslo University of Oslo in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Three-year PhD Research Fellowship, with a possible fourth year including 25% career-promoting work such as teaching, supervision, or research assistance. Salary is NOK 550,800–595,000 depending on competence and experience, with 2% statutory pension contribution deducted. The position is temporary and research-focused.
Deadline
Oct 13, 2026
Country
Norway
University
University of Oslo

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About this position
PhD Research Fellow position at the University of Oslo in remote sensing of the cryosphere, based in the Department of Geosciences, Faculty of Mathematics and Natural Sciences, Oslo, Norway.
The project sits in a strong research environment working on glaciology, remote sensing, photogrammetry, geohazards, hydrology, and geomatics, with links to international projects such as ERC SnowShifts, SchmidtSciences MountAInWater, and ESA cryosphere missions. The successful candidate will develop and apply cutting-edge methods in remote sensing, photogrammetry, machine learning, and data assimilation with cryospheric models, with a main focus on snow and glaciers in mountain regions worldwide.
Applicants should have a Master’s degree or equivalent in a relevant quantitative field such as geosciences, geomatics, computer science/data science/statistics, physics, mathematics, environmental sciences, or geophysics. Strong programming and data analysis skills are required, along with fluent English. Prior experience with satellite Earth observation, optical/radar/lidar methods, cryospheric or mountain processes, numerical modeling, and fieldwork in cold/high-mountain environments is advantageous.
The fellowship lasts three years, with a possible fourth year including teaching or other career-promoting work. Salary is NOK 550,800–595,000 depending on competence and experience. Application deadline: 13 October 2026.
Apply through Jobbnorge with a cover letter, CV, diplomas and transcripts, publication list, and 2–3 references. Foreign applicants should include an explanation of their grading system.
Funding details
Three-year PhD Research Fellowship, with a possible fourth year including 25% career-promoting work such as teaching, supervision, or research assistance. Salary is NOK 550,800–595,000 depending on competence and experience, with 2% statutory pension contribution deducted. The position is temporary and research-focused.
What's required
Applicants must have a Master’s degree or equivalent in geomatics, geosciences, computer science/data science/statistics, physics, mathematics, environmental sciences, geophysics or a similar field, and the degree must be submitted and defended before the starting date. A foreign completed degree must correspond to at least four years in the Norwegian educational system. Candidates should have a strong quantitative background, interest in remote sensing and data science approaches, scientific programming skills for processing and analyzing large datasets, evidence of creativity and independent research ability, and fluent oral and written English. Preferred qualifications include experience with satellite-based remote sensing or photogrammetry, knowledge of cryospheric and mountain processes, data assimilation and numerical modeling, automated processing of large data volumes, scientific publishing, and willingness for fieldwork in high-mountain or cold environments. Applicants from outside the EU/EEA must meet the English language requirements.
How to apply
Prepare a cover letter describing motivation and research interests, a CV, copies of Bachelor’s and Master’s diplomas and transcripts, a publication list, and contact details for 2–3 references. Submit the application and attachments through the Jobbnorge recruitment system via the Apply for this job link. Foreign applicants should also attach an official explanation of their university grading system and upload documents in English or a Scandinavian language.
More information can be found here
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