Irena Hajnsek

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.

ETH Zürich is offering a doctoral position in Earth Observation and Remote Sensing at the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering. The project starts from autumn/winter 2026 and is centered on multi-modal synthetic aperture radar (SAR) for large-scale rapid change observations in permafrost regions. The research will investigate and develop generic methods and algorithms for estimating environmental parameters over Arctic regions, with a particular focus on retrogressive thaw slumps (RTS). These rapidly evolving landforms have important implications for ecosystem balance, hydrology, infrastructure, and climate change because they can mobilize previously frozen organic carbon. Because the study area is remote, the project relies on space-borne observation approaches, especially TanDEM-X difference digital elevation models and related radar satellite data. The successful PhD student will work on detecting RTS at pan-Arctic, watershed, and local scales using TanDEM-X data and other SAR-based methods. The position is well suited to candidates interested in remote sensing, signal processing, geophysics, environmental monitoring, and geoinformatics, particularly those who want to develop advanced computational methods for Earth observation. ETH Zürich is a leading international university in science and technology, and the role sits within a multidisciplinary and international research environment. The university highlights a strong commitment to diversity, sustainability, and excellent working conditions. Applicants should have a master’s degree or diploma in electrical engineering, geomatics engineering, geophysics, physics, or a related field. A background in digital signal processing or image processing is expected, and experience with SAR or array signal processing is an advantage. Programming experience in Matlab, Python, C/C++, or similar languages is required, along with strong analytical skills and fluency in English. A valid European Category B driver’s license is also required. Applications must be submitted online through the ETH Zurich portal. The application package should include a cover letter describing motivation and research experience, a full CV, transcripts with grades, a PDF of the master’s thesis, and contact details for two referees. Email and postal applications will not be considered. For questions about the position, contact Prof. Irena Hajnsek at [email protected].