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Mathematical and numerical models of piezoelectric wave energy converters (MPhil or PhD scholarship)
undergraduate degree or equivalent, in applied mathematics, engineering, or a related discipline have experience writing numerical software in a relevant language (e.g., MATLAB, Julia, Python or C) and modelling
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to Operations and Supply Chain Management. Candidates with a bachelor's and master's degree in Operations Research, Applied Mathematics, Data Science, Computer Science Engineering, Artificial Intelligence, and
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of women in senior academic and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM).Research funded by the Hopkins PhD scholarships must have direct relevance
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. Candidates with a bachelor's and master's degree in Operations Research, Applied Mathematics, Data Science, Computer Science Engineering, Artificial Intelligence, and Information Technology will also be
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to Operations and Supply Chain Management. Candidates with a bachelor's and master's degree in Operations Research, Applied Mathematics, Data Science, Computer Science Engineering, Artificial Intelligence, and
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student willing to use mathematical modelling and simulation in engineering and physical problems. Eligibility criteria Strong mathematical background Strong analytic abilities Experience in developing
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courses Any HDR students wishing to study in the engineering/mathematics field. Eligibility criteria Local and international students Full-time enrolment Strong background in fluid-structure interaction
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the engineering/mathematics field. Eligibility criteria Local and international students Full-time enrolment Strong background in fluid-structure interaction or in systems and control Solid background in
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: an honours degree, Master of Philosophy degree or equivalent in applied mathematics, quantitative ecology, economics, engineering, or other relevant quantitative discipline. The desirable criteria
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2024 RTP round - IoT framework for real-time monitoring and control for reused water fit-for-purpose
dissolved solids. • Apply mathematical modelling techniques. • Develop an IoT framework enabling real-time data reporting and compliance tracking so that the water quality meets the required fit-for-purpose