Topics Master in Earth Sciences ETH
Master's thesis topics on research group websites
Master's thesis topics in SiROP
Many research groups in the Department of Earth and Planetary Sciences advertise Master's theses through the external page student research project website SiROP.
The feed below shows a selection of currently available projects.
Investigating global ice temperatures
This project aims to investigate a global database of glacier temperatures with the aim of improving our understanding of ice temperature distributions in glaciers and their connection with climate.
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Master Thesis
Description
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Published since: 2026-04-15
Applications limited to ETH Zurich
Organization Glaciology (Prof. Farinotti)
Hosts Jacquemart Mylène
Topics Earth Sciences
Analyzing ice avalanche dynamics from long-term monitoring data
The goal of this project is to analyze operational monitoring data (camera and ground based radar data) of avalanching glaciers in order to assess shifts in ice avalanche activity that may be related to climatic changes.
Keywords
glaciers, ice avalanches, hazards, risk, monitoring, early warming, climate change
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Master Thesis , ETH Zurich (ETHZ)
Description
Goal
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Published since: 2026-04-15
Organization Glaciology (Prof. Farinotti)
Hosts Jacquemart Mylène
Topics Earth Sciences
High-mountain hazards in the Swiss Alps
This project aims to identify and analyze changes in the Swiss Alps that relate to geologic or glaciologic hazards by comparing large-scale elevation datasets.
Keywords
glaciers, hazards, risk, mass movements, geology, rockfall, rock avalanche, permafrost
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Master Thesis , ETH Zurich (ETHZ)
Description
Goal
Contact Details
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Published since: 2026-04-15
Organization Glaciology (Prof. Farinotti)
Hosts Jacquemart Mylène
Topics Engineering and Technology , Earth Sciences
AI-powered Earthquake Data Denoising
Seismologists use earthquake recordings to monitor seismic activity, but these recordings are often mixed with noise from the environment, making it challenging to automatically process earthquake signals. This project focuses on using deep learning techniques to remove noise from earthquake recordings. By building on existing methods and introducing new ideas, the goal is to create a reliable tool that makes earthquake monitoring more accurate and efficient.
Keywords
Earthquake monitoring, Deep Learning, AI, Denoising, Signal Processing, High-Performance-Computing, Seismology
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Master Thesis
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Published since: 2025-11-28 , Earliest start: 2025-12-01
Applications limited to Department of Physics , Department of Mathematics , Department of Information Technology and Electrical Engineering , Department of Earth and Planetary Sciences , ETH Competence Center - ETH AI Center , Swiss Data Science Center - ETHZ , Department of Computer Science , IDEA League
Organization Seismology and Geodynamics
Hosts Dahmen Nikolaj , Meier Men-Andrin
Topics Information, Computing and Communication Sciences , Earth Sciences