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formation and how local dose is distributed. In the longer perspective, this knowledge will support optimization and translation of bioelectronic implants towards clinical application. In this project, you
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identify, analyze, and evaluate strategies that can make the last-mile distribution more sustainable than today. You will, for example, analyze different scenarios with mixed vehicle fleets, charging
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telemetry; distributed sensing; and augmented and extended reality. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also
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application! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
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application! Work assignments AIR2 is a five-year multidisciplinary national project financed by the Wallenberg AI, Autonomous systems, and Software Program (WASP) whereby you will have the opportunity
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for the position: An established and active research program in Neuroengineering. Deployment of engineering-based methods for development and analysis. Experience of research conducted in close collaboration with
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, where AI models are trained without having all data in a single computer. This makes it possible to use larger datasets for training, without sending sensitive data between hospitals. The goal is to
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courses in the Division of Logistics and Quality Management starting autumn semester of 2026 until the end of spring semester 2027. Work as a teaching assistant will include teaching, tutoring in computer
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, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy