11 experience-design-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" Postdoctoral positions at Empa
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an interdisciplinary team. Your tasks Conduct physical vapor deposition experiments using advanced PVD processes such as synchronized HiPIMS Perform in-depth materials characterization and surface analysis Apply and
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informatics, collaborating in an interdisciplinary team. Postdoctoral Researcher in the Development of Thin Films and Deposition Processes using Artificial Intelligence and Autonomous Experiments. Your tasks
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for structured data is particularly relevant. A strong understanding of modern deep-learning architectures and training strategies, and experience designing and rigorously evaluating new machine-learning methods
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. Empa is a research institution of the ETH Domain. Empa’s Laboratory Materials for Energy Conversion focuses on materials and device innovation for sustainable energy conversion and storage technologies
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degree in Physics/Photonics/Engineering or equivalent Experience: Laser applications (measuring, processing, etc.), optical system design, assembly and usage Skills: Hands-on experimental mindset, strong
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. Empa is a research institution of the ETH Domain. Empa’s Laboratory Materials for Energy Conversion focuses on materials and device innovation for sustainable energy conversion and storage technologies
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, Chemistry, or a related field Strong background in OLEDs, organic electronics, optoelectronics, or photonics Hands-on experience with fabrication and characterization of thin-film optoelectronic devices
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different disciplines. Experience in electrochemistry, solid-state chemistry, neutron or synchrotron techniques, spectroscopy, or related methods will be considered an advantage. The successful candidate is
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Have very good lab skills Have preferably experience in the biomedical domain and in image processing Have preferably experience using ML models and tools (e.g. radiomics) in image processing and very
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results-oriented team player. Ideal profile includes following competencies and experience: Strong programming skills, deep statistical knowledge and a proven track record with machine learning Solid