The Chair of Groundwater and Hydromechanics at the Institute for Environmental Engineering (IfU), ETH Zürich, invites applications for a postdoctoral position in "Ecohydraulics and drift in riverine systems." This opportunity is part of a Swiss National Science Foundation (SNSF) funded project led by Dr Luiz G. M. Silva, within the group of Prof. Roman Stocker, and includes collaboration with Associate Professor Jenni Raitoharju from the University of Jyväskylä, Finland. The research focuses on the development and deployment of the Riverine Organism Drift Imager (RODI), a new-generation underwater imaging device designed to transform drift studies in riverine ecosystems.

Many small riverine organisms, such as aquatic invertebrates and fish larvae, rely on flow-mediated drift for downstream dispersal. Despite its ecological importance, the spatial and temporal dynamics of drift remain poorly quantified due to limitations in current sampling methods. The project aims to address these gaps by deploying RODI, a camera-based system capable of continuous, in situ detection, classification, and quantification of drifting organisms. This technology enables highly resolved, long-term monitoring of species presence, abundance, and movement patterns in rivers and streams, bridging engineering, imaging, and aquatic ecology.

The postdoctoral researcher will apply RODI to investigate macroinvertebrate and fish larval drift, focusing on scientific questions related to drift dynamics under varying flow regimes, hydropower impacts, mitigation and restoration measures, and drift-related foraging strategies. Responsibilities include deploying, operating, and maintaining RODI at field sites in Switzerland and internationally (notably Finland), developing novel research ideas, benchmarking RODI against traditional sampling methods, contributing to machine-learning model development, designing an image-based database, and iteratively improving RODI hardware and software. The candidate will also author and co-author scientific publications and present findings at international conferences.

Applicants must hold a PhD in Environmental Science, Environmental Engineering, Ecology, Ecohydraulics, or a related discipline, with demonstrated experience in freshwater fieldwork. Essential skills include data management, visualisation, quantitative analysis, and statistical modelling; familiarity with machine learning is advantageous. Strong English communication skills, interdisciplinary research interest, and willingness to travel for field deployments are required. The position offers a 2-year contract, competitive remuneration, scientific independence, and access to a network of ecohydraulics and ML/AI specialists. ETH Zürich provides a diverse, inclusive, and sustainable research environment.

Applications must be submitted online via the ETH application portal, including a CV, full undergraduate transcripts, a cover letter (1-2 pages), and at least two (preferably three) letters of reference. The deadline for applications is February 28, 2026, with the review process beginning as applications are received. The target start date is May 1, 2026, or earlier. For questions, contact Dr Luiz Silva at [email protected] (do not send applications to this email).

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