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100%, Zurich, fixed-term A PhD student is sought from autumn/winter 2026 for a research project at the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss
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, geriatrics, neurology, paraplegiology or surgery. The research aims to develop biological, chemical, molecular, optical, electrical or other sensing technologies for an early diagnosis of possible pre- and
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reliable methods to detect reliable traces of life (biosignatures), whether through remote sensing or direct onsite measurements, requires significant innovation. These challenges demand close collaboration
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(biosignatures) – whether through remote sensing or direct onsite measurements – requires significant innovation. These challenges demand close collaboration across physics, biology, chemistry and the earth
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-source geospatial datasets (including satellite remote sensing data) Working with large geospatial datasets and implementing scalable workflows Collaborating closely with other project members (including a
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, Enviromental, and Geomatic Engineering, has an opening for a PhD student. This position focuses on leveraging vehicle sensors, remote sensing, and machine learning to support modern urban road safety analysis as
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(biosignatures) – whether through remote sensing or direct on-site measurements – requires significant innovation. These challenges demand close collaboration across physics, biology, chemistry and the earth
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ecology, forest management, remote sensing, decision support, risk analysis, economics, and stakeholder-oriented approaches. We are strongly involved in teaching within the Department of Environmental
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and mobilise strong ETH groups, research institutions, engineering and geology offices, remote-sensing companies, public agencies and implementation partners Represent ETH Swiss GeoLab in Swiss natural
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the Engineering Geology group are also expected Profile Masters degree in Computer Vision, Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering Geology or other related discipline Demonstrated