PhD Position in Earth Observation and Remote Sensing 1935 views

The Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology – ETH Zurich has an open PhD student position from summer/autumn 2019 for a research project on differential SAR interferometry for landslides monitoring.

About the research:

• The research focuses on investigating generic methods and algorithms in the context of synthetic aperture radar (SAR) imaging and differential SAR interferometry. SAR interferometry-based measurements of ground displacements using time-series of spaceborne SAR data and, more recently, also using ground-based radar devices is an emerging technology that supports applications such as:

1. monitoring of critical areas to better assess geohazards (e.g., in alpine areas),
2. measurement of subsidence (mm/cm scale over years) due to groundwater/oil/coal extraction,
3. monitoring of slopes in open pit mines, etc.

Requirements:

• Applicant must be highly motivated candidate holding a master’s degree or a diploma in Electrical Engineering, Geomatics Engineering, Geophysics, Physics or a related field.
• Applicant must have a background in digital signal processing and/or image processing. Some experience in SAR data processing or another field of array signal processing is an asset.
• Applicant must possess strong analytical skills and programming experience in Matlab, Python, C/C++, or equivalent, and is able and/or eager to develop and implement signal-processing algorithms in such a programming language.
• Applicant must have fluency in English (oral and written), and essentially candidate must be willing to work in a multidisciplinary and international research team.
• Applicants should hold a valid driver’s license (European Cat. B).

Applications:

• Apply via the online application system including the following:
• Cover letter that describes the candidate’s motivation and research experience
• Full CV
• Academic transcripts/list of courses completed or on-going, including grades
• Digital copy (PDF) of the master’s thesis
• Name and address/contact details of two referees.
• Address application to Ms. Corina Niescher, Human Resources.