16 condition-monitoring-machine-learning PhD positions at Chalmers University of Technology
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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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reinforcement learning, robotics, and the development of reactive software systems. It enables the creation of robust, reliable programs by specifying what a system should do, while automatically deriving how it
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, and explore whether and under what conditions changes can occur as well as the cost-effectiveness and environmental effects of such changes. Research tools include techno-economic assessments
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student at Chalmers, you are an employee and enjoy all employee benefits. The position is limited to four (4) years, with the possibility to teach up to 10%, which extends the position to 4.5 years