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Field
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highly motivated Ph.D. candidate. The background is preferably in electrical engineering, computer architecture, control, computational neuroscience, or similar fields. Unconventional backgrounds supported
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solutions, secure ICT architectures, grid planning, system services and scenario-based simulations. We work closely with grid operators, energy suppliers, and other stakeholders in the power system industry
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domains. Develop hybrid AI architectures combining symbolic domain knowledge, real-time data streams, and probabilistic inference. Design and evaluate decision support tools capable of interacting with
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ECUs are reshaping how connected and autonomous vehicles are designed and validated. The focus is shifting toward creating high-fidelity virtual ECUs that support software-defined vehicle architectures
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exploring various architectures and unsupervised learning techniques to identify anomalies and diagnose specific fault types based on processed sensor data (e.g., vibrations, currents). Edge device deployment
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2 Oct 2025 Job Information Organisation/Company Universidad de Alicante Department University Institute for Computer Research Research Field Computer science » Computer architecture Researcher
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and optimize device architectures using finite element simulations. Fabricate prototypes using 3D printing, and cleanroom technologies. Implement test setups and assess devices performance through
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project will take a comprehensive approach, encompassing the design, manufacturing, and characterisation of metamaterial architectures for advanced radiation detection. The research will involve
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maritime and autonomous. You will have a prior background in naval architecture, ocean engineering and mechanical engineering. You should be already familiar with the majority of simulation and experimental
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matrix operations, or time-domain simulations is a plus. • Knowledge of modern GPU hardware and architectures is a plus. • Experience with commercial software development and GUI development is a