11 electric-machine-design-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at Macquarie University
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machine learning, mathematical modelling and algorithm design to enable autonomous operation of large satellite constellations. You will also develop an open-source simulation and benchmarking platform
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Electrical Engineering or a closely related field, with a focus on power electronics and electromagnetic systems. Highly skilled in hardware prototyping and system integration. Experience in inverter design
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Advance photoelectrochemical catalysis for sunlight-driven green fuels — from catalyst design to working prototype. · Salary package: $112,550 per annum (Level A.6, PhD awarded rate) plus 17
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the design, fabrication, and characterisation of nanostructured sensing materials, flexible and stretchable electrode networks, and sensor arrays capable of detecting pressure, strain, bending, tactile
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role until August 2028 - Macquarie University, Wallumattagal Campus, North Ryde Drive innovative research addressing climate resilience and sustainable urban greening Inform sustainable landscape design
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. Work collaboratively with multidisciplinary teams across materials, mechanical, and electrical engineering. Conduct laboratory experiments and support prototype development, contributing to system-level
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further develop their expertise. About the role In this position, you will contribute to funded industry projects focused on work design and wellbeing at work. Working closely with the Centre Director
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conditions (e.g., epilepsy, multiple sclerosis). You will provide psychological assessment and therapy, support clinical trial design and management, and contribute to impactful research that advances digital
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.). While the position start date is flexible, the successful applicant must have completed
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include: Flow cytometry assessment of immune cell responses to stimulation. Design and optimisation of flow cytometry panels and analysis and interpretation of resulting data. Integration of flow cytometry