7 computational-materials-physics Postdoctoral research jobs at Chalmers University of Technology
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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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energy use and minimizing environmental impact. This collaborative effort brings together expertise in materials science, physics, polymer chemistry, and composite mechanics, with a particular emphasis on
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the following qualifications: PhD in Physics, Chemistry or Materials Science, you must hold a doctoral degree awarded no more than three years prior to the application deadline. * Experience from first-principles
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abundant side streams into high-value bio-based materials, contributing directly to the circular bioeconomy. You’ll work with cutting-edge bioprocessing tools, collaborate with leading European partners, and
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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, computational materials science, computer science, or a related field, awarded no more than three years prior to the application deadline*. Background in physics-based battery modelling and/or machine learning is
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qubits (i.e. the building blocks of the quantum computer) —caused by ionizing radiation from cosmic rays and radioactive materials— which tend to be correlated and cannot be corrected using existing error