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Infrastructure? No Offer Description If you are building your career as a scientist in advanced manufacturing, materials innovation, or data‑driven process modelling – and you are looking for a PhD position where
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– Adaptive & Agentic AI. The PhD project focuses on developing robust and reliable machine learning systems that can adapt at test time under real-world distribution shifts. Modern foundation models (e.g
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Energy Modelling”. The PhD candidate will be supervised by supervisors from DTU and Chalmers. This project will integrate energy technology, building physics, HVAC systems, control systems architecture
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Mechanical Engineering, Technical University of Denmark, may be the right next step for you. The project investigates how meso‑ and microscale modelling of storm events and other weather conditions can help
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models can be designed and deployed efficiently on constrained hardware platforms while supporting the reliability and security requirements of cyber-physical energy systems. Tasks The PhD student will
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interest in the topic, even if their background does not match every qualification listed above. Stipend 2: Data-driven modeling and optimization for efficient and secure-by-design Power Electronics (Aalborg
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interdisciplinary collaboration. This PhD project is focused on numerical simulation of resistance spot welding with existing electro-thermo-mechanical finite element modeling as a foundation. Computational fluid
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virtual screening, generative machine learning (ML) models, and automated reaction exploration to gain insights into complex chemical systems. This is an opportunity to work at the forefront
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-EEG, rTMS, HD-tDCS), bio-medical techniques (e.g. linked with epigenetics and general biomarkers), quantitative sensory testing (QST) as well as research based on animal models (e.g. rodents and pigs
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crucial role in the modelling, design, and optimization of various systems in product and process engineering. Despite significant progress made over the decades, existing thermodynamic models and theories