182 high-performance-computing-postdoc positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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conduct innovative research on applied artificial intelligence computing. Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers. Participate in
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for industry-driven applications, with an emphasis on contact-rich manipulation, robustness, and safe operation. The successful candidate will work closely with physical robots to translate recent advances in
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) Application Deadline 22 Feb 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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the area of chemical engineering, thermal systems, and mechanical engineering. Conduct design and improvement of the existing pyrolysis system, Perform experiments, data analysis, and technical reporting
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analysis. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration
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under varying operating and marine environmental conditions. Integrate and evaluate auxiliary energy sources such as solar power within the onboard microgrid. Perform energy consumption, battery sizing
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mechanical ventilation, simulation, building automation and control, sensor network, thermal energy storage, indoor air quality, heat transfer, and building energy performance evaluation. Experience of test
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the project requirements. Job Requirements: Competence in working with languages such as C along with AI applications as well as Python-based coding . Have a degree in Computer Science/Computer Engineering
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operating conditions. The research staff will develop, simulate, and test controller logic using MATLAB/Simulink or similar environments, analyse performance across diverse scenarios, and document results
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offloading for public safety services. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence