185 high-performance-computing-postdoc positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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. Degree in Infocomm, Computer Science, Cyber Security, Computer/Electrical Engineering, Information Technology or equivalent. Possessing a Master’s or PhD degree will be advantageous. Strong interest and
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. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development
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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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) Application Deadline 9 Apr 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 Job
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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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interest in food chemistry, applications of hydrocolloids and proteins, emulsions and sensory evaluation Evidence of ability to lead, manage and perform research independently as well as in a group Key
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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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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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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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, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models