52 parallel-programming positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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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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that are relevant to industry demands while working on research projects in SIT. About the DIGNIFIED programme The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with
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breakwaters that integrate wave energy converters (WECs) and, tidal energy systems. Optimize design configurations to maximize energy harnessing and wave attenuation. 5. Experimental Testing Plan and conduct
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well as academic guidance and mentorship. The scholarship may be awarded to applicants who have just completed their undergraduate studies; or have completed a Bachelor’s degree or a Master’s programme and/or have
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the Integrated Work 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
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, conference proceedings and journal articles based on the outcome of the projects. Prepares and shares fortnightly report of results from the computations with the program director and PI. Support the
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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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support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and
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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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Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch