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the industry with new, more cost-effective and robust solutions and more affordable rail transport and higher operational reliability for passengers and freight traffic. About the research project With
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120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. The department also participates in the Wallenberg AI, Autonomous
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, integrity, and a strong sense of responsibility to reliably complete agreed research tasks. Required qualifications are: A PhD degree (or a foreign degree deemed equivalent) in Chemistry, Physics, Materials
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innovative statistical methods. The main focus will be on methods for sample size estimation and reliability for functional data. More applied projects aimed at improving the understanding of movement data may
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understand why species and populations differ in their vulnerability, so that research can inform conservation, management, and policy. However, we still cannot reliably predict how climate change will affect
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expected to contribute to the development of the group. Qualification requirements The applicant is required to have a PhD degree in energy engineering. The applicant must have completed the degree
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industry, we advance sustainable, reliable engineering systems in an inclusive and supportive environment. Our research group, the Robot Athletic Intelligence Lab (RAIL), focuses on legged robotics and
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. Experience with 5G or 6G transport, Xhaul, network slicing, SDN, or software-based network control. Familiarity with network modeling and simulation tools and with resilience and reliability metrics
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. Experience with 5G or 6G transport, Xhaul, network slicing, SDN, or software-based network control. Familiarity with network modeling and simulation tools and with resilience and reliability metrics