241 software-formal-method-phd Fellowship research jobs at Nanyang Technological University
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AI methods and systems, and support the University’s mission in advancing high-impact research, innovation, and global research excellence in AI and computing. Job Responsibilities: Expected to work
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of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop software prototypes for AI-for-Science systems tailored to scientific discovery and data
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requirements PhD in Physics, Applied Mathematics, Computational Science, or a related field Strong background in machine learning, particularly in the development and application of neural networks
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closely with other team members to develop OpenFOAM methods, processes and workflows; Develop and implement mesh, solver and post-processing methodologies to improve the efficiency and effectiveness of our
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technical support and feedback. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player
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mechanism analysis, electrothermal modeling, and structural design to enhance device performance and capability. Perform software & hardware validation using simulation tools and converter experiments
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with comprehensive baselines and validate results Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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methods to accelerate and improve the robustness of microwave device modelling and inverse design. Publish research outcomes in top-tier journals and present findings at international conferences. Assist in
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the development of photo(electro)chemical methods for energy and environmental applications. It will help to advance research excellence in Sustainable Earth, one of the key pillars of research in NTU, and also
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characterization using techniques such as XRD, SEM-EDS, and related in-house or collaborative methods. Job Requirements: PhD (with strong research experience) in Chemistry, Materials Science, or related disciplines