PhD Position in Computer Vision Applied to Natural Hazards ETH Zürich in Switzerland

The Engineering Geology group at ETH Zürich, led by Prof. Jordan Aaron, is offering a fully funded PhD position focused on the application of computer vision to natural hazards, specifically debris flow mechanisms. The position is based in Zurich, Switzerland, and can commence as early as September 1st, 2026, with flexibility in the start date. This opportunity is ideal for candidates passionate about interdisciplinary research at the intersection of computer science and earth sciences.

The research will center on improving the understanding of debris flow motion, a core topic within the Chair of Engineering Geology. The group has collected an unprecedented set of field datasets, including timelapse point clouds, video imagery, and environmental parameter timeseries. These datasets are processed to derive high-resolution estimates of displacement, velocity, strain, surface change, and the driving mechanisms behind debris flows. A large foundational dataset is already available, providing a unique platform for new scientific insights.

The successful candidate will develop advanced algorithms for data processing, with a focus on optical flow and object detection. Responsibilities include interpreting results to elucidate debris flow mechanisms, maintaining monitoring systems, and contributing to teaching within the group. The position also offers significant support for developing independent research ideas and applying for third-party funding.

Applicants should hold a master's degree in Computer Vision, Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering Geology, or a related discipline. Essential qualifications include expertise in machine learning and computer vision algorithms, particularly object tracking, optical flow, and sensor fusion. Knowledge of rock mechanics, soil mechanics, and landslide processes is advantageous, and prior experience with point cloud processing is considered an asset. Strong independent work skills and excellent English communication abilities are required.

ETH Zürich is renowned for its excellence in science and technology, offering a collaborative and inclusive research environment. The university provides numerous benefits, including public transport season tickets, car sharing, sports facilities, childcare, and attractive pension plans. Diversity, equality, and sustainability are core values, and the institution actively supports professional development and societal impact.

To apply, submit your application online by July 1, 2026, including a cover letter, academic CV, contact details of two references, and transcripts. Applications via email or postal services will not be considered. For further information, contact Prof. Jordan Aaron at [email protected] (no applications via email).

This position offers a unique opportunity to engage in cutting-edge research, broaden your academic interests, and contribute to the understanding of natural hazards using advanced computer vision techniques within a world-leading institution.