38 computational-physics-"https:"-"https:"-"https:"-"https:"-"CESBIO" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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deployment. Our research staff are equipped with industry-relevant skills through hands-on work on operational research platforms and systems. The Future Ship and System Design (FSSD) programme aims to develop
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design decisions. Failure Analysis: Root-cause investigation of material failures; recommend and validate corrective actions. Process Development: Optimize manufacturing processes (e.g., casting, coating
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of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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well as overseeing AM process and reporting. The role also involves designing and validating connectors for the modular system to ensure mechanical integrity, printability and adaptability. Key Responsibilities
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Requirements Bachelor’s degree or above in Electrical Engineering, Computer Engineering, or a related field from a recognised university. Strong programming skills in MATLAB/Simulink, Python, C/C++, or similar
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such as Typhoon power-in-loop and Opal-RT systems with physical real connections to the EMS controller to perform deterministic simulations for unit, sub-system and whole system verification and
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engineering, computer science, physics or related fields). A PhD* (or equivalent research experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are
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that are relevant to industry demands while working on research projects in SIT. The Future Ship and System Design (FSSD) programme aims to develop strategic and innovative design capabilities for the maritime
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of final year projects (FYP) or capstone projects students under the Project PI. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope