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PhD Stipend in Intelligent Industrial Energy Systems, Physics-informed AI, digital twins and advanced control Apply Vacant position PhD Stipend in Intelligent Industrial Energy Systems, Physics
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Professor (all ranks) – Physical AI in Robotics & Manufacturing Arizona State University: Office of the University Provost: Ira A. Fulton Schools of Engineering: School of Manufacturing Systems and
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predictive control, adaptive modelling, and advanced dynamical systems and contribute to the rapidly changing landscape of adaptive control. At the same time, you will also help develop advanced control
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technologies Polymer science & engineering, process systems engineering & modelling, chemical reaction engineering, fluid dynamics & microfluidics AI, machine learning & automation technologies for
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(RPP) section at DTU Wind and Energy Systems and help shape the next generation of control systems for hybrid wind, solar, and battery power plants. This position is ideal for candidates with a strong
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-standard tools such as Matlab Simulink to connect with existing control systems and support SIL/MIL simulation, and the resulting algorithm must run efficiently within the CPU constraints of an embedded
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Job Description Join us in building a new research lab that develops and safety-tests AI tools for engineering work, running on local compute infrastructure that we build and control ourselves. You
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application! The Division of Automatic Control is now seeking a PhD student to work in the new national Center for Heterogeneous Adaptive Swarm Systems (CHASS) funded by the Swedish Foundation for
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Job Description If you are looking to advance both theory and practice of advanced systems engineering with the help of AI, then come and join our growing group. Join us in building a new research
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Job Description If you are building your career as a researcher in systems engineering, interface management, and complex product development — and you are looking for a PhD where your research