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in Geography, Environmental and Earth Sciences. This PhD scholarship is suitable for students with a background in oceanography/marine science, physics, physical/environmental sciences, mathematics
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the Department of Engineering). This project will investigate the convergence of Edge AI and Neuromorphic Computing to enable adaptive, low-power robotic systems. Supervision Team: Background and Motivation: As
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. We will explore both experimental techniques as well as computational models to provide feedback to design higher efficient devices. The materials characterisation will include XRD, SEM/TEM, XPS, and
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and brain tissue mechanics to improve stroke treatment. Stroke is a leading cause of death and disability worldwide, making advancements in its diagnosis and treatment highly relevant. Computational
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honours degree (2:1 with 65% average), or international equivalent, in Engineering, Computer Science, Physics or Mathematics with evidence of programming experience. Equality, diversity and inclusion is
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science, engineering, mathematics, or related subject) Proficiency in English (both oral and written) Essential to have strong foundations in computer systems through degree courses or equivalent work experience
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models that are of relevance to understanding potential future changes in the subpolar gyre of the North Atlantic. The ideal candidate will have a strong background in mathematical and statistical methods
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a student with a background in Mathematics, Computer Science, or a related STEM discipline who is passionate about computer graphics and gaming. A prior interest or experience in ML/AI rendering
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with 65% average), or international equivalent, in Engineering, Computer Science, Physics or Mathematics with evidence of programming experience. Applications should be made through the RAINZ CDT website
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with a first class or upper second-class degree in engineering, physics, applied mathematics or a related field. A solid foundation in fluid dynamics and heat transfer, and experience with computer