10 design-"https:"-"https:"-"https:"-"The-University-of-Manchester" PhD positions at Empa
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the growing challenge of infections caused by resistant bacteria through designing innovative, non-toxic, and durable antimicrobial solutions. This highly interdisciplinary project will be conducted in
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. Empa is a research institution of the ETH Domain. Empa’s Laboratory Materials for Energy Conversion focuses on materials and device innovation for sustainable energy technologies. Your tasks This PhD
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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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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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sensing systems Design and validate machine learning models for predictive monitoring of physiological states Analyse large experimental datasets and quantify sensor performance (accuracy, robustness
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of electrochemistry. Your tasks The student will be involved in tasks such as Designing innovative electrode materials with precisely engineered nanostructures; Fabricating the electrode materials using micro
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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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key contributions to novel personalized strategies of particles design for drug delivery, imaging, or diagnosis. Characterize, understand, the interaction of particulate materials with cells or tissues
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antimicrobial coatings. This project aims to tackle the growing challenge of infections caused by resistant bacteria through designing innovative, non-toxic, and durable antimicrobial solutions. This highly
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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