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. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis
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statutory leave – then these may be taken into consideration. We are looking for a candidate with a doctoral degree in physics, physical chemistry, materials science, nanotechnology, spectroscopy, or a
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. The doctoral degree should be in materials science, chemistry, chemical engineering, physics, or a closely related field, with documented experience in electrochemical energy storage, battery materials
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a doctoral degree in Condensed Matter Physics, Materials Science, Chemical Engineering, or a closely related field. Specific entry requirements include: Demonstrated hands-on experience with ultra