Postdoc: Pioneering Cryosphere Remote Sensing & Modeling

Universitetet I Oslo; Utrecht; Hybrid; EUR 55,000 - 64,000; Full time

Benefits offered by this job

Societal mission and meaningful tasks

Collaborative research environment

Career development opportunities

Pension scheme with pension fund

Job summary

The University of Oslo invites applications for a Postdoctoral Research Fellow in remote sensing and modeling of the cryosphere, based in the Department of Geosciences. The appointment is for three years, with 10% teaching duties and international collaboration with leading research groups.

The candidate will develop and apply cutting-edge remote sensing methods, combine data science with cryospheric models, and contribute to snow and glacier research globally.

Qualifications

• Degree in a relevant field with public defence and doctoral thesis submitted by closing date.
• Fluent oral and written English.
• Strong quantitative background and interest in remote sensing or photogrammetry.
• Scientific programming experience for data processing, analysis, or modeling the cryosphere.
• Evidence of research excellence through publications and conference presentations.

Responsibilities

• Develop and apply cutting-edge remote sensing or photogrammetry methods.
• Combine with data science approaches such as machine learning and data assimilation.
• Focus on snow and glaciers in mountains worldwide; collaborate internationally and with space agencies.
• Prepare a professional development plan within one month of start.

Skills

Fluent English

Strong quantitative background

Scientific programming

Publication record

Education

Norwegian doctoral degree in geomatics / geosciences / environmental sciences or related fields

Job description

The University of Oslo invites applications for a Postdoctoral Research Fellow in remote sensing and modeling of the cryosphere, based in the Department of Geosciences. The appointment is for three years, with 10% teaching duties and international collaboration with leading research groups.

The candidate will develop and apply cutting-edge remote sensing methods, combine data science with cryospheric models, and contribute to snow and glacier research globally.