Join a leading research team to advance riverine ecosystem science by applying and developing new underwater imaging technology. You will work on an interdisciplinary project to study drift in riverine systems and help transform how aquatic organisms are monitored in their natural habitats.

• Deploy, operate, and maintain the Riverine Organism Drift Imager (RODI) at field sites in Switzerland and internationally, especially in Finland.
• Develop and lead new research ideas using RODI for drift studies in riverine systems.
• Test, benchmark, and validate RODI as a drift sampling tool by comparing it with traditional methods.
• Work with project partners to develop and apply machine-learning models for RODI data.
• Design and manage an image-based database for data collected from live organisms with RODI.
• Contribute to improvements of RODI hardware and software based on field and analytical feedback.
• Write and co-author scientific publications and present findings at international conferences.

• PhD in Environmental Science, Environmental Engineering, Ecology, Ecohydraulics, or a related field.
• Experience in planning and conducting fieldwork in freshwater ecosystems.
• Strong skills in data management, visualization, and quantitative analysis.
• Experience with statistical modeling; interest in machine learning is a plus.
• Excellent written and spoken English communication skills.
• Interest in interdisciplinary research and ability to work in a dynamic research environment.
• Ability to work independently and as part of an international team.
• Willingness and enthusiasm to travel for field deployments nationally and internationally.
• Availability to start as soon as possible (target start date: May 2026 or earlier).

• 2-year postdoctoral position.
• Work in a highly interdisciplinary and international research environment.
• Opportunity to use and further develop a world-first imaging device for riverine drift studies.
• Access to a strong network in Ecohydraulics and freshwater research.
• Scientific independence, visibility, and career development opportunities.
• Collaboration with world-class machine learning and AI specialists in freshwater science.
• Competitive pay and employment conditions according to ETH Zurich regulations.