PhD Candidate in Earth Observation Remote Sensing / PhD Candidate in Earth Observation Remote Sensing

PhD Position in Earth Observation Remote Sensing

100%, Zurich, fixed-term

Job Description

A doctoral student is sought for a research project at the Institute of Environmental Engineering (IFU), Chair Earth Observation at ETH Zürich, focusing on Snow and ice parameter estimation using high frequency multi-modal SAR.

The research will target the retrieval of snow and ice parameters and their dynamics utilizing multimodal Synthetic Aperture Radar (SAR) observations. The primary focus encompasses two significant scientific topics within the cryosphere domain.

• The first topic involves analyzing SAR interferometry to generate time series of digital elevation models, enabling the quantification of changes in glaciers and ice sheets at a large scale for assessing and estimating mass balance.
• The second topic revolves around the characterization and identification of glacier crevasses and their dynamics over time, achieved through high-resolution SAR data.

For the first topic, the methodology is well-established; however, there remains potential to expand the analysis into new regions and timeframes to investigate dynamic changes. Conversely, the application of SAR for identifying and characterizing crevasses has seen limited exploration, highlighting the need for developing new methods. This approach will leverage high-resolution data (e.g., airborne acquisitions) and explore various imaging modes, including polarimetry, interferometry, and tomography.

Numerous snow and glacier test sites are globally available for these topics, providing valuable ground validation measurements and serving as reference data for satellite observations. All research topics will be evaluated concerning upcoming mission proposals and existing missions, with the collaboration of a multidisciplinary and international team.

Profile

We are seeking a highly motivated candidate with a master's degree or a diploma in electrical engineering, geomatics engineering, geophysics, computational science, mathematics, physics, or a related field. The ideal candidate will possess strong analytical skills and programming experience in either Python, C/C++, or equivalent languages. Prior experience in snow/ice modeling, field work, and handling large datasets will be advantageous for this project. Fluency in English (oral and written) is required, along with a willingness to work in a multidisciplinary and international research team. A valid driver’s license (European Cat. B) is also essential.

Workplace

Join an attractive research environment within a young, highly motivated, and international team at ETH Zurich.

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Curious? So Are We.

Apply online using the form below. We look forward to reviewing your application, which should include:

• A cover letter detailing your motivation and research experience
• Your current CV
• Academic transcripts/list of completed or ongoing courses, including grades
• A digital copy (PDF) of your master's thesis
• Contact details for two referees

Only applications matching the job profile will be considered.

About ETH Zürich

ETH Zurich is one of the world's leading universities specializing in science and technology. We are renowned for our excellent education, cutting-edge fundamental research, and direct transfer of new knowledge into society. Over 30,000 individuals from more than 120 countries find our university to be a place that fosters independent thinking and an environment that inspires excellence. Located in the heart of Europe and forging connections worldwide, we collaborate to develop solutions for the global challenges of today and tomorrow.