15 algorithm-"Multiple"-"U"-"Simons-Foundation" "Prof" PhD scholarships at Chalmers University of Technology in Sweden
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theoretical research, algorithm design, and the development of software tools that demonstrate the applicability of the new methods. Research environment The positions are hosted by the Department
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modular, scalable, and transparent control algorithms suitable for real-time implementation across different vehicle platforms. - Contribute to theoretical developments in stochastic model predictive
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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer
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safety. You will work on developing control algorithms all the way to performance assessment in test vehicles. The project combines theoretical aspects of control algorithms, experimental design, and
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contact: Prof. Eduard Hryha, director of CAM2 and topic leader: hryha@chalmers.se Prof. Uta Klement, head of Division of Materials and Manufacture: uta.klement@chalmers.se We look forward to your
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Tenants’ Association. The supervisors represent expertise in: Sustainable architectural design, building transformation and renovation (Prof. Paula Femenías, Chalmers) Sociology with focus on environmental
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to references will be requested after the interview. We welcome your application no later than July 12th, 2025 For questions, please contact: Associate Prof. Jinhua Sun, jinhua@chalmers.se Prof. Uta Klement (Head
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sent by email will not be considered. Application deadline: July 9, 2025 For questions, please contact: Prof., Nikolce Murgovski, Systems and Control Email: nikolce.murgovski@chalmers.se Tel: +46-31-772
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research in system and circuit design for next generation wideband radio frontends. The position allows access to fabrication in multiple semiconductor technologies provided by international partners inside
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it