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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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of Engineering (Honours) (Computer and Software Systems) EN01 Bachelor of Engineering (Honours) (Mechatronics) EN01 Bachelor of Engineering (Honours) (Mechanical) EV02 Bachelor of Engineering (Honours
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of Engineering (Honours) (Computer and Software Systems) EN01 Bachelor of Engineering (Honours) (Mechatronics) EN01 Bachelor of Engineering (Honours) (Mechanical) EV02 Bachelor of Engineering (Honours
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, UTS, UWA, Deakin, and Swinburne), and industry leaders such as Ford Australia, Seeing Machines, RACQ, The Department of Transport and Main Roads, National Transport Commission, Transport For NSW, and
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of system and data confidentiality and complete any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply
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researchers, to undertake your own innovative research in and across the fields of robotics, electrical power and signal processing, machine learning and AI within the School of Electrical Engineering and
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle