13 high-performance-computing Postdoctoral research jobs at Chalmers University of Technology
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the resulting data. For the optical-communications position, develop microcomb-based multiwavelength sources, integrate and evaluate them with silicon-photonic transmitter and receiver devices, and perform high
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evaluate them with silicon-photonic transmitter and receiver devices, and perform high-speed coherent transmission and transceiver experiments. For the optical-clocks and precision-metrology position
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meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline Experience in scientific computing and high-performance computing Experience in coupling
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We are offering a postdoc position in an exciting national project focusing on software security, with great opportunities for collaborations with top researchers in cybersecurity, program analysis
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collaborate with Doctoral students and postdocs working on similar topics! About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans
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control engineering at both undergraduate and graduate level at Chalmers, including within the master’s programme Systems, Control and Mechatronics. About the research project High-power charging is
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, or reinforcement learning. Experience with high-performance computing (HPC). Experience supervising students or junior researchers. What you will do As a postdoctoral researcher, you will: Develop machine-learning
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9 Jul 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Other Computer science » Other Engineering » Chemical engineering Engineering » Control
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3 Jul 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Computer science » Other Engineering » Communication engineering
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python