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engineering, materials science, mechanical engineering or other related fields Strong background in physical chemistry and thermodynamics including the development and understanding of phase diagrams Experience
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as well as material science Very good knowledge of vacuum technology, especially in materials science for UHV suitable materials Very good knowledge in the field of design engineering Experience in
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data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s degree in Engineering, Computer Science, Physics
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with physicists, neuroscientists, materials scientists, and engineers Flexible working arrangements 30 days of annual leave as well as an arrangement for bridging days (e.g. between Christmas and New
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thesis. Your Profile: Successfully completed Master`s degree in the field of materials science, engineering, physics or chemistry or a similar field Very good knowledge in the field of solid-state
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interdisciplinary and exciting field of neuromorphic and brain-inspired computing, collaborating with physicists, neuroscientists, materials scientists, and engineers Flexible working arrangements 30 days of annual
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: Successfully completed Master`s degree in the field of materials science, engineering, physics or chemistry Very good knowledge in the field of solid-state chemistry and materials engineering Experience in
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Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and related disciplines Very good grades in the masters and bachelors degrees are mandatory Knowledge
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about new scientific endeavors with interdisciplinary approaches. For this you have: A completed university degree (Master or equivalent) in data science, computer science, mathematics, materials science