A reproducible Sentinel-1 data pipeline
Build a documented workflow to retrieve, prepare and quality-check public SAR data, with reproducible results.
Recommended background
Introductory probability, R or Python, and an interest in simulation.
Supervision
Supervision topics
Potential undergraduate, master's, and PhD topics, with scope tailored to students' backgrounds and interests.
Supervision: These are potential topics, not advertised vacancies or a guarantee of supervision availability. The directions below are proposals subject to feasibility and availability review; they are not open positions.
Supervision topics
Potential topics by level
Choose a level to explore proposed projects and recommended background.
Remote-sensing time series in agriculture
Study temporal variation in radar observations for agricultural applications and learn to validate interpretations against reference data.
Recommended background
Introductory probability, R or Python, and an interest in simulation.
Delineating agricultural areas in SAR imagery
Compare established image-analysis procedures to identify field boundaries and evaluate their results using georeferenced data.
Recommended background
Introductory probability, R or Python, and an interest in simulation.
Statistical simulation for complex radar data
Use simulation to explore probability models for complex-valued observations and learn how to evaluate estimators.
Recommended background
Introductory probability, R or Python, and an interest in simulation.
Likelihood visualization in dependent-data models
Visualize likelihood profiles and study estimation algorithms in established models for dependent observations.
Recommended background
Introductory probability, R or Python, and an interest in simulation.
Evaluating methods for outlier detection
Compare established diagnostics under controlled contamination scenarios and discuss detection errors and stability.
Recommended background
Introductory probability, R or Python, and an interest in simulation.
How to start a conversation
A proposal starts with a good question.
Explore a topic
Read the description, identify a question, and review the recommended background.
Prepare a brief
Write up to one page with motivation, goals, academic background, and weekly availability.
Get in touch
Send your proposal and academic CV via the contact details on the contact page.
FAQ
Frequently asked questions
Do I need a complete proposal?
No. A well-founded interest, an initial question, and willingness to learn are enough for a first conversation.
Can I suggest a different topic?
Yes. Proposals related to the research areas may be considered depending on scientific fit and availability.
Is funding or a position available?
No scholarship or position is advertised on this website. Availability must be confirmed individually.