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PhD in Optical Characterization and Photonic Performance Analysis of Liquid Crystal Polymer Coatings
between material development, optical modelling, and prototype integration. Information You will: characterize one-way transparent cholesteric liquid crystal polymer films and switchable photonic coatings
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"The Martian Mindset - A scarcity-driven engineering paradigm” is a newly funded Cluster of Excellence and was established at the University of Bremen in 2026. In this context, a position is available as soon as
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processing or quantitative image analysis (e.g., microscopy or live-cell imaging data) is an advantage What we offer At Maastricht University, you’ll work in an international, open, and engaged environment. We
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, supercapacitors and eco-friendly energy technologies. Fundamental to many geochemical and biochemical processes, proton transport in confined water and at material interfaces remains poorly understood. In
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. This highly innovative project aims to develop a fully AI driven digital twin that enables real-time optimization and control of fermentation processes. The candidate will develop the digital twin for microbial
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corresponds to the level of a Norwegian master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review process by HK-dir may take some time. Therefore
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
application process here. About the position The Department of Department of Mechanical and Industrial Engineering is offering an exciting PhD position within the Norwegian Maritime AI Centre , a national
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PhD candidate, you are expected to bring your own creativity to the challenge: How can image-based AI analysis reveal drug effects? How can mechanistic computational models develo on spheroid morphology
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smart‑city systems. AI vision tools can recognize faces, detect objects, track people, and generate synthetic images with ease. These capabilities also introduce major privacy and ethical risks, amplified
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-of-the-art machine learning methods, acoustic sensing can provide valuable insight into a wide range of processes occurring within the built environment. Potential applications include structural health