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Luiz G. M. Silva

8 months ago

Postdoctoral position in Ecohydraulics and Drift in Riverine Systems ETH Zürich in Switzerland

Degree Level

Postdoc

Field of study

Machine Learning

Funding

Available

Deadline

Expired

Country flag

Country

Switzerland

University

ETH Zürich

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Keywords

Machine Learning
Environmental Science
Biology
Marine Biology
Quantitative Analysis
Database Management
Hydraulic Engineering
Freshwater Ecology
Restoration
Statistical Modelling

About this position

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).

ETH Zürich is a world-leading university in science and technology, renowned for its excellent education, fundamental research, and commitment to diversity and sustainability. The university offers a vibrant international community and opportunities for career development and scientific visibility.

Funding details

Available

What's required

Applicants must hold a PhD in Environmental Science, Environmental Engineering, Ecology, Ecohydraulics or a related discipline. Demonstrated experience in planning and conducting fieldwork in freshwater ecosystems is required. Strong skills in data management, visualisation, and quantitative analysis are essential. Experience with statistical modelling is expected; familiarity with or interest in machine-learning approaches is advantageous but not mandatory. Excellent written and spoken English communication skills are required. Candidates should have a genuine interest in interdisciplinary research, the ability to work independently and collaboratively within an international team, and be available and enthusiastic for national and international field deployments. Application materials include a CV, full undergraduate transcripts, a brief cover letter (1-2 pages) stating research interests and motivation, and at least two (preferably three) letters of reference.

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Professors

Professor at ETH Zürich

University Name
Country flag

Switzerland

Research Interests

Microbiology

Polymer Chemistry

Biology

Materials Science

Biophysics

Associate Professor at ETH Zürich

University Name
Country flag

Switzerland

Research Interests

Marine Biology

Database Management

Restoration

Quantitative Analysis

Environmental Science