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Jordan Aaron

Prof. Dr. at ETH Zürich

ETH Zürich
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Switzerland

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About

Prof. Dr. Jordan Aaron is a faculty member at ETH Zürich in Switzerland. His research focuses on landslide and debris flow dynamics, employing innovative machine learning methods and high-resolution monitoring techniques. Recent publications include studies on landslide initiation modeling, debris flow velocity estimation, and multistage rock avalanche behavior. He is dedicated to advancing understanding of geohazards and improving early warning systems.

Recent Grants

Grant: Close

Measuring and Modelling Catastrophic Landslides and Debris Flows

Open Date: 2021-08-01

Close Date: 2025-07-31

Grant: Close

Analogue Modelling of Large Landslides

Open Date: 2020-01-01

Close Date: 2021-01-01

Grant: Close

Improvement and Calibration of an Existing Landslide Runout Model

Open Date: 2017-04-01

Close Date: 2018-03-31

Grant: Close

Improvement and Calibration of an Existing Landslide Runout Model

Open Date: 2016-04-01

Close Date: 2017-03-31

Grant: Close

Improvement and Calibration of an Existing Landslide Runout Model

Open Date: 2015-04-01

Close Date: 2016-03-31

Positions (3)

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Jordan Aaron

University Name
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ETH Zürich

PhD Position in Computer Vision Applied to Natural Hazards

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.

1 month ago

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Jordan Aaron

University Name
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ETH Zürich

PhD Position in Numerical Modelling of Debris Flows

The Chair of Engineering Geology at ETH Zürich, led by Prof. Dr. Jordan Aaron, invites applications for a fully funded PhD position in Numerical Modelling of Debris Flows. This opportunity is ideal for candidates passionate about fluid mechanics, numerical modelling, and natural hazards. The research will focus on developing a novel coupled solid/fluid mechanics-based numerical model to simulate debris flow motion, integrating innovative field data collected globally to validate and enhance the model. The project aims to advance scientific understanding of debris flows by combining simulation results with real-world observations. Applicants should possess an MSc in Fluid Mechanics, Hydraulics, Engineering Geology, Geological Engineering, Geophysics, or related fields, with a strong background in numerical modelling. The ideal candidate will demonstrate motivation, creativity, independence, teamwork, and excellent English communication skills. The research group offers a collaborative and multidisciplinary environment, access to state-of-the-art computing infrastructure, laboratories, and research equipment, as well as training in teaching through assistantships. ETH Zürich is renowned for its excellence in science and technology, fostering independent thinking and a climate-neutral future. The university values diversity, sustainability, and equal opportunity, providing a supportive environment for academic and personal growth. The Department of Earth and Planetary Sciences offers further information about its research and community. The position is fully funded for four years, including a stipend and access to research resources. The expected start date is September 2026. To apply, submit your application online via the ETH Zürich portal by 1 July 2026, including a cover letter, CV, transcripts, and contact details of two references. Applications sent by email or postal services will not be considered. For inquiries about the position, contact Prof. Jordan Aaron at [email protected] (no applications by email). This PhD position provides an excellent opportunity to engage in cutting-edge research, broaden your academic interests, and contribute to the understanding of debris flows and natural hazards within a world-leading institution.

1 month ago

Publisher
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Jordan Aaron

University Name
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ETH Zürich

Doctoral Position in Debris Flow Monitoring

Doctoral Position in Debris Flow Monitoring at ETH Zurich (Engineering Geology Group, Geological Institute). This PhD project focuses on understanding and managing debris flows , one of the most important natural hazards in mountainous regions. The research is supervised by Prof. Dr. Jordan Aaron and is based in a collaborative, multidisciplinary environment within ETH Zurich’s Department of Earth Sciences. The project is SNSF funded and the doctoral position is fully funded for 4 years , with an expected start date in January 2027 . The research will use a unique field dataset collected with sensors originally developed for mobile robotics applications. A major goal is to derive velocity and flow-depth estimates at unprecedented spatial and temporal resolution using point cloud and camera data . The successful candidate will develop a deep understanding of debris-flow motion and apply hypothesis-driven analysis to in-situ debris-flow measurements. Fieldwork is an important part of the role and includes installing and operating monitoring systems, as well as investigating sediment transfer at five study sites. The project aims to generate new knowledge that improves both scientific understanding and practical risk management of debris flows. Applicants should have an MSc in Engineering Geology, Earth Sciences, Geological Engineering, Geotechnical Engineering , or a related discipline. Experience with or interest in point cloud analysis is an advantage. The ideal candidate will show strong interest in debris-flow mechanisms and preferably have a background or strong interest in landslide hazard and risk assessment . The project also values motivation, creativity, independence, teamwork, and excellent English communication skills. ETH Zurich offers access to state-of-the-art laboratories and research equipment, training in teaching through teaching assistantships, and strong opportunities for academic development in engineering geology. The university emphasizes diversity, sustainability, and an inclusive research and learning environment. To apply, submit your application online via the ETH Zurich portal with a brief cover letter, CV, transcripts, and the contact details of two references. Applications by email or postal mail are not accepted. Questions regarding the position may be addressed to Prof. Jordan Aaron at [email protected] . Application deadline: 1 October 2026.

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Articles (15)

Collaborators (8)

Peter Lehmann

ETH Zurich

SWITZERLAND

Roland Kaitna

University of Natural Resources and Life Sciences

AUSTRIA

Clément Roques

University of Neuchatel

SWITZERLAND

Matthew Perras

Assistant Professor of Geological Engineering

York University

CANADA

Simon Loew

Professor emeritus

ETH Zurich

SWITZERLAND

B. Menounos

-

CANADA

John Gray

The University of Manchester

UNITED KINGDOM

James Kirchner

Professor

ETH Zürich

SWITZERLAND
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