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Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.
NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow%2C-School-of-Computing/33590-en_GB/
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The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.
The Research Fellow will work on hardware and software co-design for systems targeting energy-efficient chips. The role involves developing, evaluating, and optimizing system-level techniques across hardware architecture, software stack, runtime, and applications.
Job ID: 150629113
Skills:
Industrial and Systems Engineering, Conops Design, AI in Process Mapping, Optimisation, Design and Analysis of Algorithms, Operations Research, Computer Science, High-Performance GPU Computing, Robotics and Automation
Skills:
power converters , Data analysis for clustering and classification, OPAL-RT, RTDS solutions, Visualization tools, PSCAD, Performance validation tools, EMT RMS Modelling tools, Steady-state analysis, DigiSilent PowerFactory, Control optimization algorithms, Siemens PSS-E, Grid converter modelling, Etap
Skills:
Applications, Information Systems, System, Research, computer sciences, Computer Science, wellbeing, Computing, International, Analytics
Skills:
Machine Learning, Artificial Intelligence, Data Analytics, Computer Vision, Deep Learning, Procurement, intelligent systems, Finance Management, Grant Administration, Budget Tracking, Large Language Models
Skills:
Artificial Intelligence, Computer Vision, Software Engineering, Programming Languages, Algorithms, Machine Learning, Systems, Circuits
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