15 10-phd-candidates-or-postdoctoral-researchers-in-machine-learning-and-deep-learning PhD positions at Empa
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engineering applications. Empa's Centre for X-ray Analytics develops X-ray analytical and imaging methods for understanding materials structure in material, life- and medical sciences. This is a joint PhD
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. Empa is a research institution of the ETH Domain. At Empa’s Centre for X-ray Analytics, we investigate bio-nano assemblies from lipid nanoparticles (LNPs) to polymer-based nanosystems using powerful
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) project, we are looking for a motivated and experienced PhD candidate to perform consumer flexibility aware planning of multi-energy districts. A particular focus lies on the modelling and optimization
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Application Deadline 10 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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affiliated with the Department of Environmental Sciences (D-USYS). The candidate will perform the research at Empa in St. Gallen. The starting date is upon mutual Agreement. This project is performed in close
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campaigns (one to two weeks per year) Holder of a valid car driving license Our offer We offer a fully funded PhD student position (3 years, full time) at Empa, the Swiss research institute for materials
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cutting-edge research for the benefits of industry and the wellbeing of society. The working place will be in Dübendorf ZH and the PhD candidate will be enrolled at DTU Denmark. The position is available
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in German are desirable. Our offer We offer a multifaceted and challenging position in a modern research environment with excellent infrastructure. The PhD candidate is intended to be enrolled
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cathodes in solid-state thin-film batteries. Your tasks We are looking for a motivated PhD candidate, who is eager to pursue hands-on, exploratory PhD research. This includes deposition of the precursor
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. Empa is a research institution of the ETH Domain. The Empa Laboratory of Cellulose & Wood Materials invites applications for a PhD student position on advanced assembly of bio-intelligent materials