Summary
The Technical University of Denmark (DTU) Space department is offering a prestigious PhD scholarship focused on the intersection of climate science and advanced computing. The project, titled Physics-Informed Machine Learning for Greenland’s Firn Tipping Point, aims to utilize innovative machine learning techniques to understand the critical changes in Greenland’s ice sheet dynamics.
Designation
PhD Scholarship / PhD Fellow
Position Overview
| Field | Details |
|---|---|
| University | Technical University of Denmark (DTU) |
| Department | DTU Space |
| Research Area | Physics-Informed Machine Learning (PIML), Glaciology, Climate Science |
| Location | Kongens Lyngby, Denmark |
| Employment Type | Full-time Scholarship |
Research Area
The research focuses on the application of Physics-Informed Machine Learning (PIML) to study the firn layer of the Greenland ice sheet. This involves integrating physical laws into data-driven models to predict tipping points and the impacts of global warming on ice melt and sea-level rise.
Location
The position is based at DTU Space, located in Kongens Lyngby, Denmark. DTU Space is the national space institute and provides a world-class research environment for Earth observation and climate studies.
Eligibility/Qualification
To be considered for this PhD scholarship, applicants must meet the following criteria:
- A two-year master’s degree (120 ECTS points) or an equivalent degree in Physics, Geophysics, Applied Mathematics, Computer Science, or a related field.
- Strong background in programming (e.g., Python, MATLAB) and data analysis.
- Interest in climate science, glaciology, or machine learning.
- Excellent communication skills in English, both written and oral.
- The ability to work independently and as part of an international research team.
Scholarship Description
The PhD project aims to develop a new generation of models that combine the strengths of physical process-based modeling with the flexibility of machine learning. The focus is on the Greenland firn layer—the compressed snow that acts as a buffer for meltwater. Understanding when this layer reaches a tipping point is essential for predicting future sea-level contributions from the Arctic.
How to Apply
Interested candidates must submit their application through the official DTU online recruitment system. The application should typically include:
- A cover letter (letter of motivation).
- A curriculum vitae (CV).
- Grade transcripts and diplomas (BSc and MSc).
- A brief research proposal or statement of interest.
Last Date for Apply
Until position filled
Candidates are encouraged to check the official DTU recruitment portal for the specific closing date for this requisition (Job ID: 8494).
Apply Link
You can view the full job description and submit your application via the official portal: Apply Here
