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Field
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. The project focuses on the development of trustworthy, transparent, open and explainable Artificial Intelligence methods and their application in complex and dynamic environments. The TUAI consortium brings
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evaluate large language models (LLMs) assisted methods for extracting, organising and assessing complex scientific information related to materials. The initial application will be phase diagrams and related
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, Applied Physics, Process Technology, Civil Engineering or a closely related discipline) You have received training in multiphase flow physics, numerical methods, and computational fluid dynamics (CFD
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, SIMS or related methods is highly desirable. Experience with mechanical testing, fracture mechanics, hydrogen embrittlement research or materials degradation is an advantage but not mandatory. You have
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computational methods along the way. We are looking for someone who cares about users. You will work directly with researchers developing new algorithms, experimentalists acquiring imaging data, and external
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, the project will explore new methods for representing system dependencies, designing realistic cyber scenarios, and evaluating cyber resilience through automated and scalable cyber range exercises. The project
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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for admission to a PhD programme. Strong background in Computational Mechanics, Solid Mechanics and Numerical Methods. Knowledge of the Finite Element Method. Programming skills (Python & Fortran). Good written
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skills in energy engineering. Basic understanding of modelling and quantitative analytical methods. Ability to approach, formulate, and analyse scientific problems. Additional merits for this specific
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, numerical methods, and computational fluid dynamics (CFD), ideally complemented by application in your MSc thesis, research projects, or internships. Have excellent communication skills and command of English