Postdoc in Satellite Gravimetry
Are you passionate about advancing research in space geodesy to tackle critical global challenges? Are you experienced in satellite gravimetry and eager to explore cutting-edge AI and machine learning technologies in this field?
Join our young and dynamic team at the Chair of Space Geodesy, led by Prof. Benedikt Soja. We are at the forefront of developing innovative methods for space- and ground-based geodetic applications, enabling long-term, continuous, and real-time monitoring of the Earth and its environment. Our team has rapidly gained prominence for our work in applying machine learning to geodetic problems, including spatio-temporal modeling, prediction, and anomaly detection.
The selected candidate will be responsible for shaping the gravity-related research conducted at the Chair of Space Geodesy and building a compelling line of research that incorporates aspects of machine learning. Ideally, the position will concentrate on the application of deep learning to satellite gravimetry data from the GRACE and GRACE-FO missions to address key issues such as the detection of hydroclimatic extreme events, enhancing the spatial and/or temporal resolution of GRACE(-FO) products, reconstructing past and/or predicting future hydrological conditions, separation of water storage components, or fusing gravity measurements with GNSS, InSAR, satellite altimetry, or hydrological/environmental models. A focus will be on the development of machine learning-based strategies and algorithms for such purposes, utilizing concepts from probabilistic, explainable or physics-informed machine learning. In this framework, the postdoc will conduct original research, with the specific topic being flexible and ideally benefitting from the applicant’s previous experience. While the focus of the position is on research, the postdoc will also be involved in teaching activities related to physical geodesy, the supervision of student works and the guidance of doctoral students.
- PhD in geodesy, geosciences, physics, computer science or a related field
- Strong background in satellite gravimetry; extensive experience with GRACE(-FO) data or products
- Experience with machine learning methods is advantageous; willingness to learn these techniques is essential
- Solid foundation in mathematics, physics, data exploration and programming
- Fluency in English (written and spoken); knowledge of German is advantageous
- Strong collaboration and communication skills
- Ability to conduct, present and publish scientific results with integrity
- Independent research at a world-leading academic institution
- A dynamic and international team that embraces fresh perspectives
- A supportive and inclusive work environment that fosters professional growth and development
- Opportunities to attend conferences and collaborate with international experts
- Salary and benefits according to ETH Zurich standards
- Flexible working hours with the option for part-time home office
- An attractive workplace surrounded by nature with quick access to the city center
The position is set to begin as soon as possible but no later than March 2025. The initial contract duration is 1 year, with a possibility of extension.
Working, teaching and research at ETH Zurichscience and technology. We are renowned for our excellent education,
cutting-edge fundamental research and direct transfer of new knowledge
into society. Over 30,000 people from more than 120 countries find our
university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe,
yet forging connections all over the world, we work together to
develop solutions for the global challenges of today and tomorrow.