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.

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

We look forward to receiving your online application with the following documents:

• Motivation letter (1 page)
• CV
• List of publications
• Research statement (1 page excluding bibliography)
• 2-minute video explaining your current and proposed work (YouTube, Vimeo or Google Drive only, submit as PDF with the link written in full)
• Electronic copies of university transcripts and certificates
• Name and email address of two referees

Application deadline: until the position is filled.

Please note that we exclusively accept complete applications submitted through our online application portal. Incomplete applications or applications via email or postal services will not be considered.

Further information about the Chair of Space Geodesy can be found on our website. Questions regarding the position should be directed to Benedikt Soja at soja@ethz.ch (no applications).

ETH Zurich is one of the world’s leading universities specialising 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 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.