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project “DepoIon”, we develop physical vapor deposition (PVD) process control for solid state battery relevant material coatings. Your tasks You will work on basic science topics as well as on applied
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industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
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product quality attributes, such as remaining shelf life. Process measured sensor data of commercial cold chains, analyze data for variability, and reformat data in databases. Use the simulation-based
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specifically to XRD-PDF (pair distribution function). The project is linked to crystalline and amorphous alloys, and in an industrial context to process design by establishing the structure-property relationship
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statistical evaluation Machine learning analyses: implementation of established and new workflows Coordination of activities with Consortium partners, including presentation of results at consortium meetings
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. You will perform microstructural characterization of dry coated electrodes using physical and machine learning based methods and the electrochemical assessment of the electrodes in battery cells. Your
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campaigns (one to two weeks per year) Holder of a valid car driving license Our offer We offer a fully funded PhD student position (3 years, full time) at Empa, the Swiss research institute for materials
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is a plus. Enthusiastic about learning new techniques and both independent and as a team member. Our offer We offer a full-time postdoctoral position at Empa in Dübendorf, Switzerland, starting as soon
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is a plus. Enthusiastic about learning new techniques and both independent and as a team member. Our offer We offer a full-time postdoctoral position at Empa in Dübendorf, Switzerland, starting as soon
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solid-state batteries. One of research topics is the method of flash-lamp annealing ( FLA, also called intense pulsed light or photonic curing ), which is used for thermal processing of thin films with