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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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mathematical model and validate it through computational and experimental methods. 3. To determine the optimal airflow parameters that maximize dust suppression efficiency. Objectives The following objectives
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universities - Curtin University and the University of Western Australia - we combine expertise of Geophysics, Applied Mathematics, Geotechnical Engineering, and Statistics to investigate the causal mechanisms
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applicants notified of outcomes by November 2024. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility criteria • Strong mathematical background, particularly
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The University of Adelaide Research Scholarship is established by the University of Adelaide to support full-time PhD students who are commencing research in pure mathematics in the area of 4
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research for further information. The successful applicant will have an undergraduate or postgraduate degree in Computer Science, Physics, Mathematics, Engineering, or related areas. This position is open to
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research. Proficiency in mathematical modelling and simulation software is highly desired. Candidates must be eligible to enrol in PhD programs at Curtin University and demonstrate a keen interest in
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criteria We are looking for a well-motivated PhD student with first-class honour’s degree in any of the following areas: Biomedical Sciences; Mathematics; Physics; Mechanical Engineering; Civil Engineering
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courses All applicable HDR courses. Eligibility criteria We are looking for a PhD candidate with strong analytical skills, a sound mathematical base, and some experience with Matlab. We seek candidates who
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This opportunity is open to students with any science-oriented undergraduate background. Students with a background in physics/astronomy, mathematics/statistics, computer science, or data science are particularly