31 condition-monitoring-machine-learning PhD positions at Chalmers University of Technology in Sweden
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems
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livable cities. The project will be based in the AI Laboratory for Molecular Engineering (AIME) , led by Assistant Professor Rocío Mercado Oropeza, where researchers develop new machine learning (ML
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. The project will be based in the AI Laboratory for Molecular Engineering (AIME) , led by Assistant Professor Rocío Mercado Oropeza, where researchers develop new machine learning (ML) methods to tackle
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students pursue their Ph.D. in a similar area, which plenty of opportunity to collaborate and learn from and with peers. About the research project This ad is for a Ph.D. student researcher that will work in
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the research project This project is set to explore so-called shared control between the driver of a car and the car's safety systems. By mechanically disconnecting the driver's steering wheel from
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occupational traffic safety, with a focus on the car driving behavior of employees who drive as part of their job but are not professional drivers. Lack of knowledge, training, stress, fatigue, and poorly
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for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum
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on the hypothesis that the future of building design lies at the intersection of physically sound building simulation models and machine learning (ML) techniques. Key considerations include effectively integrating ML
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for the construction of runtime monitors that capture under what conditions an ACPS is guaranteed to maintain safety. A key challenge in developing such monitors is to handle noisy, missing, or delayed data
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2D materials, coatings, nanomaterials, and metal machining. A key focus is improving the sustainability of AM by studying powder degradation and enhancing powder reuse and recycling. We are now seeking