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that translate this data into meaningful indicators of battery health, performance, and lifetime. The work combines physics-based modelling with data-driven approaches, with the goal of enabling accurate and
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, or applied physics and electrical engineering, with at least 240 ECTS credits, of which at least 60 are cycle 2, with a specialization in computer vision or equivalent. Alternatively, you have acquired
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. The applicant should have a PhD in materials science, chemistry, physics, chemical engineering, or a related field. The following qualifications are considered particularly meritorious: experience in processing
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maximum of 20 per cent of full-time. Your qualifications You have a master’s degree in electrical engineering, engineering physics, computer science, applied mathematics or have completed courses with a
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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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the Division of Logistics and Quality Management, preferably second cycle level courses, and that the applicant has proficiency in statistical process control. Teaching is mostly done in English, thereby
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other departmental duties, up to a maximum of 20% of full-time. Your qualifications You have graduated at Master’s level in biomedical engineering, biophysics, applied physics, materials science, organic
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, modelling, and understanding the function of the nervous system. The field encompasses hardware-oriented instrumentation, signal and image processing, data-driven and physics-based models, as well as clinical
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backgrounds include agricultural science, environmental science, geography, environmental engineering, physics, biology, engineering, or other related fields. We value motivation, curiosity, and the ability
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technologies. The OEM group is part of the Laboratory of Organic Electronics (LOE) (https://liu.se/LOE ), an internationally renowned research environment comprising more than 150 researchers from diverse