36 channel-coding-electrical-engineering PhD positions at Monash University in Australia
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PhD Scholarship Opportunities in Optoelectronic Semiconductors at the Faculty of Engineering and Faculty of Science (Multiple Positions) Job No.: 682543 Location: Clayton campus Employment Type
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Australian Research Council (ARC) Funded PhD Opportunity at Faculty of Engineering: High-Speed Rail and Sustainable City Sizes in Australia Location: Clayton campus Department/Unit: Monash Institute
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outstanding candidates for Master’s by Research or PhD study in all departments, within the Faculty of Engineering. These departments include: ● Chemical Engineering ● Civil Engineering ● Electrical and
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outstanding domestic candidates for Master’s by Research or PhD study in all departments, within the Faculty of Engineering. These departments include: ● Chemical Engineering ● Civil Engineering ● Electrical
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(AI) technologies have advanced significantly, current software engineering methodologies remain insufficiently equipped to integrate responsible, reliable, and scalable AI-driven solutions into systems
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PhD Scholarship - Zema Energy Studies Scholarship Domestic opportunities in Engineering, IT and Business and Economics Job No.: 677906 Location: Clayton campus / Caulfield campus Employment Type
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As part of the establishment grant for the Monash Assistive Technology and Society (MATS) Centre (https://www.monash.edu/mats/about), the Faculty of IT is providing a scholarship to support the
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statistical analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., eye-tracking, pupillometry) Interest or training in technology law, digital regulation, or AI
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
appointment Remuneration: The successful applicant will receive a Research Living Allowance, at current value of $52,352 AUD per annum 2025 full-time rate (tax-free stipend), indexed plus allowances as per RTP
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clinical stakeholders and system engineers. This research does not centre on the hardware design but on the technologies and systems that support its use, including AI, embedded interfaces, and mixed-reality