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-year project carried out in close collaboration with our industry partner. The goal is to develop methods for an ML-based decision support system for monitoring and fault diagnosis of gas turbines
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application! Work assignments The postdoctoral fellow will work within ASC’s research field ‘ageing and work‘ in close collaboration with the Swedish Research Centre for Return to Work in Later Life RELATE
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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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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials
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postdoc based at Linköping University (working with Tom Ziemke) will also collaborate with other Principal Investigators involved in the research group with expertise in human-robot interaction