203 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at ETH Zurich
Sort by
Refine Your Search
-
of Environmental Engineering. Project background The two PhD positions are part of a recently funded SNSF project aimed at systematically investigating nonlinear biofilm rheology, with emphasis on the role
-
R. Studart, Tel +41 44 633 70 50 or email andre.studart@mat.ethz.ch (no applications). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
-
completion) in Chemistry, Material Science, Chemical or Process Engineering or closely related We are looking for candidates who are self-driven and highly motivated, creative and excited to work in
-
using emerging non-invasive exhalomics (exhaled breath metabolomics) approach. The research program integrates animal experiments with advanced analytical techniques and bioinformatics to enhance
-
90%, Basel, permanent The Laboratory Automation Facility (LAF) is a central research and service platform within the Department of Biosystems Science and Engineering (D-BSSE) at ETH Zurich
-
out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
-
diverse input pathways into engineered systems (i.e., wastewater) and natural terrestrial and aquatic environments (soils, rivers, lakes). The project will study enzymatic and abiotic breakdown
-
that unites researchers, entrepreneurs, and industry leaders to explore how AI transforms science, technology, and society—showcasing cutting-edge research and cross-disciplinary collaboration from three
-
A doctoral student is sought from spring 2026 for a research project at the Institute of Environmental Engineering (IFU), Chair Earth Observation at the ETH Zürich on Snow and ice parameter
-
-phonon coupling elements. With these, dedicated scattering rates can be computed and then used in quantum transport simulations. Down the line, we aim to pre-train a common GNN backbone model capable