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including the application of artificial intelligence and machine learning. You will engage with industry, government, and research collaborators, fostering partnerships that deliver outcomes aligned with
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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campus life with a strong sense of community & inclusion • Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best
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campus life with a strong sense of community & inclusion • Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best
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Intelligence, Machine Learning, Quantum Technologies, Energy Informatics, and Immersive Technologies. Our teaching programs are delivered across Curtin’s global campuses. The discipline of Mathematics and
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functionalisation, fabrication and characterisation of carbon materials for application in solar cells Predication and discovery of new materials for next generation solar cells driven by machine learning
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. Proven track record of mentoring academic staff and managing academic teams. Qualifications Mandatory for Level C and Level D appointment: PhD in Electrical, Electronic Engineering, or a closely related
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. Experience with machine learning techniques applied to numerical simulation and optimisation. Experience with teaching EE/EEE/ECE at undergraduate level. Role Requirements: As this is a fixed-term contract
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community engagement. Our academics are renowned for their expertise across a diverse range of legal fields including Environmental Law and Natural Resources, Military and Space Law, Law Reform, Commercial
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the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop