16 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at Lulea University of Technology
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build the sustainable companies and societies of the future. Luleå University of Technology (LTU) is one of Sweden’s leading universities in the area of Machine learning, especially in Deep Learning, with
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for two students who have experience in robotics and Reinforcement Learning to work in projects with a focus on: Designing satellite position controllers using reinforcement learning Where the student's
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LTU’s strong established competence networks. Duties As a PhD student, you will perform both experimental and theoretical work. You will learn how to collect and analyze scientific data within your
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both with the industry and international researchers through LTU's well-established competence network. Duties As a PhD student, you will perform both experimental and theoretical work. You will learn
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experimentally verified results is a necessary: Research Topics: Learning-Based Autonomous Systems for Field Robotics Reinforcement learning-based navigation Multi-agent coordination and communication-aware
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the Department of Engineering Science and Mathematics. The department has several other research topics with activities that border on material technology, such as materials mechanics and machine elements. In
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Swedish. Closing date for applications: February 28,2026 Reference number: 6943-2025 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK
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to communicate research and development activities. Administrative proficiency relevant to the subject area and the duties of the position. The position requires the ability to teach in Swedish and/or English. If
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, electromagnetics, optimization, machine learning, and networking. Strong documented experience in these areas is commendable, particularly by having published your work. Candidates should have an excellent mastering
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opportunity to try out the teaching role. As a researcher, you work as a neutral party in many contexts, which provides a fantastic opportunity to learn how to run challenging development projects