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PhD Studentship: Advancing solid-state battery electrolyte manufacturing with terahertz spectroscopy
-generation solid-state batteries due to their improved thermal stability, reduced flammability, enhanced durability, and potential for higher energy density. However, manufacturing high-performance
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agreed upon with their supervisors. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application periods The following is valid for applicants from: all countries
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. The project combines transition studies, modularity theory and economic geography and compares case studies in European and Indian cities. You will be part of a project team consisting of the principal
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) Application Deadline 22 Oct 2026 - 00:00 (UTC) Country Austria Type of Contract Temporary Job Status Part-time Hours Per Week 20 hours per week; will be increased to 30 hours per week once the dissertation
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Engineers usually want predictability. This project embraces chaos! – Excited about control theory? Then join us to build the math of chaotic sampling for greener and more secure control systems
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at
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Some of the biggest open questions in modern physics concern the limits of the Standard Model and General Relativity. The nature of dark matter and dark energy remains unknown, and many theories
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on the candidate’s skills and interests, but may include genetically engineering microbes to change form and function, developing theory and AI methods that advance our ability to design reliable, engineered
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. The weekly working time is 39 hours. This position is also available on a part-time basis. The position is initially limited to 3 years. Employment as a postdoc is desired. We value and promote the diversity
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technologies to enable efficient, reliable, and intelligent communication between human operators and multiple robotic systems. Furthermore, the developed methods will be translated from theory to practice