59 parallel-and-distributed-computing-phd positions at Chalmers University of Technology
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2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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5 Sep 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Physics » Computational physics Researcher Profile Recognised Researcher (R2) Country Sweden
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2 Oct 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 15
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Application Deadline 28 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 304--1
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. The successful candidate is expected to collaborate with PhD students working on related topics within the group. The position involves supporting research through tasks such as: Collecting data from archival
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16 Nov 2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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successful team of PhD students and postdocs in a constellation of local theoretical and experimental groups. For this postdoc project, we seek a dynamic and motivated candidate with an interest in
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Application Deadline 4 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 304--1
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effectively, through publications in high-impact journals and presentations at leading international conferences Your profile A PhD degree in Electrical Engineering, Computer Science, Telecommunications, or a
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systems. This PhD project, part of a national initiative, aims to use AI to design and optimize thermal interface materials (TIMs). It combines machine learning, materials informatics, and experiments