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Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a multidisciplinary team to accelerate functional thin film development Your work will be part of a larger
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residual stress analysis. The objective will be to investigate these phenomena using simulation tools and via sophisticated experiments. Besides, the candidate is expected to supervise BSc-/MSc students
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participate in the experiments, advise/guide for long-term knowhow transfer Publish the results in peer-reviewed journals and present at international conferences Your profile PhD degree in Physics or a related
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microscopy (QPlus AFM), integrated with electron spin resonance (ESR) capabilities. Your profile We are looking for a highly motivated experimentalist who meets the following criteria: PhD in Physics
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and validation through indoor and outdoor experiments. Your profile We seek a highly motivated and dedicated postdoctoral researcher with a PhD (or equivalent) in robotics, materials science/engineering