ETH Zurich
1 month ago
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PhD Opportunity in Earth Observation and Remote Sensing at ETH Zurich ETH Zurich in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
100% full-time PhD position with competitive Swiss doctoral salary and pension. The post also mentions world-class computing infrastructure, high-impact journal publishing opportunities, conference travel, and public transit discounts.
Country
Switzerland
University
ETH Zurich

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About this position
ETH Zurich is advertising a PhD position at the Chair of Earth Observation and Remote Sensing with Prof. Irena Hajnsek. The project focuses on Earth Observation, Remote Sensing, Synthetic Aperture Radar (SAR), signal processing, Arctic climate science, permafrost, and geospatial AI.
The research will use multi-modal SAR to monitor rapid environmental shifts and climate impacts across Arctic permafrost landscapes. Technical work includes developing advanced algorithms for multi-modal radar, array signal processing, satellite remote sensing, and computational data pipelines for large-scale environmental monitoring.
Applicants should have a Master's degree in Geomatics, Geophysics, Electrical Engineering, Physics, Remote Sensing, or Environmental Engineering. Desired skills include digital signal processing, image processing, remote sensing, and strong programming ability in Python, MATLAB, C, or C++. Excellent English fluency and a valid European Category B driver's license are required for possible fieldwork.
The position is described as 100% full-time and offers a competitive Swiss doctoral salary and pension, world-class computing infrastructure, publication opportunities, conference travel, and public transit discounts. Applications must be submitted via the ETH online portal only; email applications are not accepted.
For inquiries, contact Prof. Irena Hajnsek at [email protected]. The post does not provide a deadline.
Funding details
100% full-time PhD position with competitive Swiss doctoral salary and pension. The post also mentions world-class computing infrastructure, high-impact journal publishing opportunities, conference travel, and public transit discounts.
What's required
Applicants should hold a Master's degree in Geomatics, Geophysics, Electrical Engineering, Physics, Remote Sensing, or Environmental Engineering. Experience in digital signal processing, image processing, or remote sensing is expected, along with strong programming skills in Python, MATLAB, C, or C++. Excellent English fluency and a valid European Category B driver's license are required for potential fieldwork.
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