Masters Theses
Are you a master's student eager to delve into cutting-edge research and make a meaningful contribution to emerging fields remote sensing with computer vision? Our chair invites you to write your master's thesis with us, offering a dynamic and supportive environment where your ideas can thrive.
What we offer
We offer an opportunity to use the fast resources of our chair to not just fulfill the last step of your master’s study but to make contribute to an existing research field and possibly launch your journey towards a PhD position with a high-ranking publication. More concretely we offer mentorship by a multidisciplinary team of data scientists and economists, the opportunity to nest your research in a bigger research project and potent computational resources. We have extensive in-house data sets and deep learning models that we are happy to share. Students should be trained in remote sensing, econometrics, GIS, data science or similar. Your specific study background is less important than research interests that align with ours, a high level of motivation and the technical skill set you bring.
Current opportunities
To get a glimpse of our current projects have a look polybox (ethz.ch), external page [2303.02230] Building Floorspace in China: A Dataset and Learning Pipeline (arxiv.org) and external page Urban Growth Unveiled.
We are currently looking for students to take on the following challenges:
- Use a XGBoost-model for post-processing of building height prediction similar to external page essd-2024-217.pdf
- Temporal smoothing for post-processing of building height prediction (in principle we are open for any unsupervised method)
Needed skills and attributes:
- Very good Python or R skills and ability to write efficient code for scalability
- Prior knowledge of computer vision
- Highly motivated to dive into unknown territory with uncertain outcomes
- Prior knowledge of GIS is a plus
- Willingness to turn the thesis into a publication is a plus
How to Apply If you are interested in joining our group for your master's thesis, please fill in the following form: external page https://forms.gle/JVG4w1KBnjRsKX8X6. Non-ETH-students are welcome to apply, please make sure that your study program agrees to external master-thesis supervisors. If there are any questions, please contact Sebastiano Papini: