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diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components
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. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis
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and biomedical engineering. The Automatic Control division conducts research and education in the analysis and control of dynamic systems. Our work combines fundamental control theory with applications
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theory, and learning theory to design efficient and robust decentralized AI systems. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a
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for robotics - Meta-learning for adaptive coordination Duties The duties of a Postdoc primarily comprise research. You will perform research with substantial experimental components that should be published in
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KTH, Mathematics Position ID: 421-POSTDOC35 [#28189, PA-2026-0538] Position Title: Position Type: Postdoctoral Position Location: Stockholm, Stockholm 10044, Sweden [map ] Subject Area: Postdoc in
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
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-symbolic and context-aware reasoning for robotics - Meta-learning for adaptive coordination Duties The duties of a Postdoc primarily comprise research. You will perform research with substantial experimental
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and Engineering. About us You will join the Healthy AI Lab , a research group led by Associate Professor Fredrik Johansson , that develops machine learning methods and theory to improve data-driven
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for a postdoc to join our team at the Division of Systems and Control, Department of Electrical Engineering. Become part of our innovative group and contribute to exciting research in learning-based