12 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Empa in Switzerland
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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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team members Perform accelerated optical degradation tests of transparent conductive materials Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a
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8 Mar 2025 Job Information Organisation/Company Empa Research Field Computer science » Programming Engineering » Materials engineering Engineering » Mechanical engineering Engineering » Other
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or semester interns. Your profile PhD in Materials Science, Mechanical Engineering, Manufacturing Technology or similar fields Experienced in CFD and FEM simulations using tools such as OpenFOAM (preferably
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and validate the equipment. Your profile PhD in Materials Science, Mechanical Engineering, or Experimental Physics Experience in determining mechanical properties at surfaces Experience in surface
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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
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Collaboration with surgeons, engineers, chemists and fiber technologists Your profile PhD in polymer science or biomedical engineering Hands-on experience in hydrogel development, bacteria-materials interaction
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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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the project's framework and communication of findings at consortium meetings, (inter)national conferences and in peer-reviewed journals. Your profile PhD degree in biology, toxicology, life science or a related
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The candidate should have a PhD degree in Microbiology, Biotechnology, Materials Science or related disciplines with a deep scientific curiosity in bacteria-materials interactions. Key qualifications include