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Are you passionate about the world of process control and multiple technologies that will contribute to the next generation control and automation solutions? The Department of Chemical and Metallurgical
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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is to apply theories, models, and methods from psychology to improve Human-AI interaction. Your network and team The Aalto Engineering Psychology Group concentrates on research in human-AI interaction
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generated from density functional theory simulations, we aim to interpret complex TERS images and push the limits of nanoscale optical imaging. The student will develop and implement new theoretical
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Theoretical Quantum Materials We invite applications for a PhD position in theory of quantum materials at Aalto University, Department of Applied Physics. The position is part of the FUN-VAN Research Council
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for Artificial Intelligence (FCAI), ELLIS Institute Finland, and Aalto University House of AI, invites applications for multiple postdoctoral positions. Our team works actively to develop intelligent robotic
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gas. This has the potential to significantly reduce energy consumption, lower operational costs, and support sustainability goals across multiple sectors. Over the next 18 months, we will build a
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supervision of Prof. Vanni Noferini. Your role and goals You will work on the theme of “Matrix nearness problems via Riemannian optimisation’’. Areas of mathematics that are relevant include matrix theory
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management, and proven track record in both. The ideal candidate will contribute to our strong expertise in strategy and organization theory and connect to existing research interests of our faculty while
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for different tasks Good programming skills - you are required to provide a sample of your code during the recruitment process Strong interest and motivation in improving the sustainability of networked systems