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application! Work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning
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(e.g. in automotive applications) using, for example, vibration and acoustic signals. Research questions include method development for fault detection and isolation, damage estimation systems, including
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and organic solar cell devices. There will also be the opportunity to gain hands-on research supervision experience through the mentoring of PhD students, as well as formulating research projects
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– such as taking statutory leave – then these may be taken into consideration. We are looking for candidates with a PhD in materials engineering, solid mechanics or a closely related research field. Good
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required. Good written and oral communication skills is a plus. Great emphasis will be placed on personal qualities such as curiosity, creativity, motivation, critical and self-critical attitude