PhD Position in Greenland Ice Sheet Hydrology and Dynamics
Explore subglacial meltwater dynamics and sediment transport using satellite radar interferometry and machine learning.
Best for:Best for geoscience or physics graduates with an interest in remote sensing, glaciology, and machine learning, seeking hands-on research in polar dynamics.
Overview
This PhD position at the Geological Survey of Denmark and Greenland (GEUS) focuses on investigating how meltwater moves beneath the Greenland Ice Sheet and influences ice flow and sediment transport. The project combines satellite radar interferometry with machine learning to map subglacial water routes and analyze their impact on ice dynamics. Based in Copenhagen, the candidate will collaborate with Prof. Nanna B. Karlsson and co-supervisors from DTU-Space, integrating remote sensing and in-situ datasets. The position is part of the REGLA project and offers enrollment in DTU Space’s PhD program, starting January 1, 2027.
What you'll do
- Map subglacial water routes using satellite radar interferometry (InSAR/DInSAR) and analyze their evolution over time.
- Apply machine learning techniques to study the coupling between meltwater and ice flow dynamics.
- Investigate how meltwater and ice dynamics influence sediment output from glaciers using remote sensing and in-situ datasets.
- Collaborate with supervisors and project team members to integrate data and develop research findings.
- Present research findings at conferences and publish results in peer-reviewed journals.
- Participate in departmental seminars and contribute to GEUS’s multidisciplinary research environment.
Requirements
Degree required: Master's degree in geoscience, physics, geophysics, engineering, or a related field (or equivalent, to be completed by start date).
Degree offered: PhD
Language: English; no formal proficiency test required but must be fluent for research and collaboration.
Instruction: English
- Strong interest in remote sensing, glaciology, or data-driven methods like machine learning.
- Motivation to develop programming and data analysis skills (e.g., Python).
- Ability to work independently and collaboratively in a team.
- Basic understanding of glaciological processes or willingness to learn.
- Proficiency in English (written and spoken).
- No nationality restrictions, but must be admitted to PhD studies at DTU Space.
- No age or residency restrictions mentioned.
Funding & terms
How to apply
Deadline: 2026-11-01 (Europe/Copenhagen)
Submit a CV and degree certificate (or pre-approval signed by supervisor and examiner) via the GEUS application portal. Ensure documents are received by the deadline.
- CV
- Degree certificate or pre-approval signed by supervisor and examiner
Contact
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