PhD Scholarship in Modelling: The Technical University of Denmark (DTU) is inviting applications for a 3-year PhD position focused on developing an innovative flood forecasting system utilizing remote sensing data and hydrology models. This position is part of the ESA-funded project EO4FLOOD and offers an opportunity to be part of an international research team dedicated to advancing flood modeling forecasting techniques.
PhD Scholarship in Data-Driven and Process-Based Modelling of Rivers Using Satellite Earth Observation
Designation
PhD Candidate
Table
| Feature | Details |
|---|---|
| Research Area | Remote Sensing Data, Hydrology, Flood Forecasting |
| Location | Kgs. Lyngby, Denmark |
| Eligibility/Qualification | 1. A master’s degree within natural science or environmental engineering. 2. Excellent programming skills in R, Python, Matlab, or similar. 3. Some experience with remote sensing data, especially satellite altimetry, SAR, or optical imagery. |
| Description | The PhD project focuses on developing methods to utilize remote sensing data for mapping and modeling water level and river discharge, enhancing flood prediction models. Responsibilities include advancing hydrodynamic modeling techniques, contributing to academic publications, and teaching. |
| How to Apply | Interested candidates must submit a complete online application, including: 1. A cover letter motivating the application. 2. Curriculum Vitae. 3. Grade transcripts and BSc/MSc diploma in English, including the official grading scale. 4. Additional relevant documents. The complete application must be submitted as one PDF file. |
| Last Date to Apply | 30 January 2025 (23:59 Danish time) |
Research Area
- Remote Sensing
- Hydrology
- Flood Modelling and Forecasting
Location
Kgs. Lyngby, Denmark at DTU Space
Eligibility/Qualification
- A two-year master’s degree (120 ECTS points) or similar academic level equivalent.
- Proficiency in programming (R, Python, Matlab).
- Experience with remote sensing data (satellite altimetry, SAR, and optical imagery).
- Strong collaboration, communication, and analytical skills.
Description
The PhD candidate will work in collaboration with the University of Copenhagen and contribute significantly to advancements in flood forecasting. The role involves developing methodologies that leverage remote sensing data, enhancing existing modeling techniques, and engaging in academic publishing and mentoring students. The position aims to address global flood risks, particularly in developing areas.
How to Apply
Applicants must complete an online application and submit all required documents as a single PDF file by the deadline stated above, through the link provided in the official job posting.
Last Date to Apply
30 January 2025 (23:59 Danish time)
For more details or to apply, visit the official DTU Space website.
