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Job Description If you are aspiring to shape the future of industrial R&D or academia, especially in the rapidly advancing fields of meta-materials, renewable energy systems, and intelligent
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design next-generation computer architectures for running large AI models on embedded and edge systems under strict timing, energy, and memory constraints. You’ll explore hardware-aware optimization and co
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: 281099154 Postdoctoral Research Associate D-26-ENE-00008 | Research | Andlinger Center for Energy and the Environment The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems
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Model. Int. J. Hydrog. Energy 2014, 39 (9), 4516–4530. https://doi.org/10.1016/j.ijhydene.2014.01.036. ; [3] Carral, C.; Mele, P. Modeling the Original and Cyclic Compression Behavior of Non-Woven
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, especially in the rapidly advancing fields of meta-materials, renewable energy systems, and intelligent structural technologies, this PhD position offers a unique opportunity. Join MET2ADAPT to engage with
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for the future in the conversion to sustainable societies. The Department of Electrical Engineering conducts successful research and education in the areas - renewable energy sources, electric vehicles and
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systems on the path towards a sustainable future. The position is initially limited to 6 months, but can be extended (there is funding for up to 4 years). You can expect: Creation of optimization models
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multi-layer systems using a strip casting process. The project is divided into 2 tasks, as follows: 1) Development of an optimum casting formulation based on the starting powder supplied. Optimization
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engines Investigating optimization algorithms for heterogeneous architectures (e.g. AI engines in combination with programmable logic) Deployment of optimization algorithms for energy optimization and
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innovative solutions. By leveraging advanced optimization tools and engineering methodologies, He/she will ensure the resilience of the supply chain against disruptions while minimizing its energy consumption