27 condition-monitoring-machine-learning PhD positions at Chalmers University of Technology
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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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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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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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characterisation to machining of primarily metals. We employ a range of technologies - powder metallurgy, electroplating, additive manufacturing and material removal - and a range of advanced characterisation
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team of over 15 full-time researchers offers a stimulating and supportive environment to learn and grow. Your profile Required qualifications: Undergraduate degree in Civil Engineering or a related topic
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courses, including several master’s programmes. Learn more at: www.chalmers.se/en/departments/e2 Qualifications To qualify, you must: Hold a Master’s degree (or equivalent, 240 ECTS) in Engineering Physics
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all employee benefits. Read more about working at Chalmers and our benefits for employees. The position is limited to four years, with the possibility to teach up to 20%, which extends the position
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at Chalmers and our benefits for employees. The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years. A dynamic and inspiring working