151 high-performance-computing-postdoc positions at Singapore Institute of Technology
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promote cross-cultural understanding. Collaborate with the Community Engagement Programme (CEP) Taskforce and external cultural/community partners. Student Development & Collaboration: Mentor students in
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organizations globally while enhancing the overall visibility of SIT’s global learning initiatives. Key Responsibilities: Programme Support: Assist in the promotion and execution of overseas immersion and student
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Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and
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Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and
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: process monitoring and control, industry 4.0, modeling, AI and ML applications for the process industries with particular emphasis on delivering step change improvements in process performance; Informatics
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of the project is to develop a real-time occupant centric sensing and control strategy that optimises total building performance for mixed-mode ventilation in the tropics Under this job title, you will be part of
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Bachelor’s degree or a Master’s programme and/or have worked for some years; or are currently enrolled in a PhD programme overseas Upon successful completion of the PhD programme, the scholar will be
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of experiment, data logging and analysis of data collected. Work with computational fluid dynamics (CFD) results generated by an expert to correlate with experimental data Assists the PI in drafting of reports
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postdoctoral training Excellent academic record plus a high degree of proficiency and motivation for a research area that is strongly aligned with SIT’s supported areas Strong passion for teaching, research and
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maintenance of equipment. • To work with international and interdisciplinary team on developing high performance urban farming module via computational and empirical analysis • Support in the design and