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Irena Hajnsek

7 months ago

Doctoral Position in Earth Observation and Remote Sensing ETH Zürich in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Expired

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Country

Switzerland

University

ETH Zürich

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Keywords

Computer Science
Geology
Environmental Science
Electrical Engineering
Remote Sensing
Geography
Polarimetry
Geophysics
Earth Science
Python Programming
Earth Observation
Tomography
Cryosphere Science
Ice Mechanics
Synthetic Aperture Radar
Physics
Ice Sheet

About this position

This doctoral position at ETH Zürich’s Institute of Environmental Engineering (IFU), Chair Earth Observation, offers an exciting opportunity for research in Earth Observation and Remote Sensing, specifically focusing on snow and ice parameter estimation using high-frequency multi-modal Synthetic Aperture Radar (SAR). The project aims to advance scientific understanding in the cryosphere domain through two main topics: (1) analyzing SAR interferometry to generate time series of digital elevation models for quantifying changes in glaciers and ice sheets, and (2) characterizing and identifying glacier crevasses and their dynamics using high-resolution SAR data. The first topic leverages established methodologies to extend analysis to new regions and timeframes, while the second requires the development of novel methods for crevasse identification, utilizing airborne acquisitions and exploring imaging modes such as polarimetry, interferometry, and tomography.

Numerous snow and glacier test sites worldwide will provide ground validation measurements and reference data for satellite observations. The research will be conducted in collaboration with a multidisciplinary and international team, and will be assessed in relation to upcoming and existing mission proposals. The position is embedded in a vibrant, young, and highly motivated research group at ETH Zürich, one of the world’s leading universities in science and technology, renowned for its commitment to excellence, diversity, and sustainability.

Applicants should hold a master’s degree or diploma in electrical engineering, geomatics engineering, geophysics, computational science, mathematics, physics, or a related field. Strong analytical skills and programming experience in Python, C/C++, or equivalent are required. Experience in snow/ice modelling, field work, and handling large datasets is advantageous. Fluency in English (oral and written) is mandatory, and candidates must be willing to work in a multidisciplinary and international team. A valid European Category B driver’s license is also required.

The position is fully funded, with benefits including public transport season tickets, car sharing, access to sports facilities, childcare, and attractive pension benefits. ETH Zürich fosters an inclusive culture, values diversity, and is committed to sustainability and climate neutrality. The university provides an environment that supports professional development and encourages independent thinking.

To apply, candidates must submit their application online via the ETH Zürich application portal, including a cover letter describing motivation and research experience, a full CV, academic transcripts with grades, a digital copy of the master’s thesis, and contact details for two referees. Applications via email or postal services will not be considered. For further information, contact Prof. Irena Hajnsek at [email protected].

ETH Zürich is located in Zurich, Switzerland, and is home to over 30,000 people from more than 120 countries. The university is dedicated to developing solutions for global challenges and offers a stimulating environment for research and learning.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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