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30 Dec 2025 Job Information Organisation/Company Empa Research Field Biological sciences » Biology Biological sciences » Other Computer science » Programming Computer science » Other Medical
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carbide ceramics. This project is a close collaboration between the Smart Materials Processing and Architectured Materials groups of the laboratory and focuses on the design, fabrication and
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
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solution for through-thickness reinforcement of FRPs. Your tasks You will work in collaboration with a postdoctoral researcher/scientist mainly on: Design and manufacturing of SMA Z-pinned FRPs SMA
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applicants with and without a doctoral degree will be considered. Project Focus The innovation project builds on Empa’s extensive experience in silica aerogels, aerogel composites and aerogel product
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
(R1) Application Deadline 3 May 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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14 Feb 2026 Job Information Organisation/Company Empa Research Field Computer science » Other Engineering » Other Mathematics » Applied mathematics Technology » Energy technology Technology
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15 Jan 2026 Job Information Organisation/Company Empa Research Field Computer science » Other Engineering » Other Mathematics » Applied mathematics Mathematics » Statistics Researcher Profile First
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assess the operational feasibility and robustness of urban energy system designs emerging from AI- and multifractal-informed planning approaches. The PhD will develop and apply optimization-based energy