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environments.DutiesThe PhD student will carry out research in the area of cooperative autonomous systems. The successful candidate will explore topics such as: Multi-agent reinforcement learning Distributed control
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Autonomous cyber-physical systems (ACPS) have great potential to improve our ways of life, increasing mobility, cutting costs, and saving lives. Considering the complexity of the environments
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This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control
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of robotics, electromobility and autonomous driving. We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Join us for a fully funded PhD position in theoretical machine learning to uncover how and why transformers work. Explore their inner mechanisms using information theory. As part of this project
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commitment to WASP (Wallenberg AI, Autonomous Systems and Software Program) . Hence, SEDDIT PhD students can, if they are interested, apply for affiliation with the WASP graduate school. As a PhD student, you
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application! We are looking for a PhD student in Computer Science formally based at the Department of Computer and Information Science (IDA) as part of the national research program WASP. Wallenberg AI
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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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application! At the Department of Electrical Engineering, Division of Automatic Control, we are now looking for a PhD student, to be admitted to the WASP graduate school. Your work assignments The research area
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and application architectures with implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable