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. Fabricate the selected microfluidic designs in RMIT’s cleanroom facilities. Test the functional performance of these designs using micro particle image velocimetry (μPIV). Integration of Machine Learning
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achieves shared goals and objectives. An in-depth knowledge of Supply Chain Analytics, including mathematical modelling, optimisation, and/or machine learning, and/or decision sciences. Advanced expertise in
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researching and implementing secure, AI-driven information systems and data analytics solutions using Python, R, and other advanced languages, with a strong focus on machine learning frameworks, generative AI
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below. Relevant Research Areas and Capabilities: Digital Engineering, Artificial Intelligence (AI) and Human Machine-Teaming Aerostructures and Flight Science Advanced Composite and Alloy Additive
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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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: Minimum Bachelor (Honours) or above. Note: PhD qualification is required to teach into Master-level courses. Candidates who hold Bachelor’s Degree but have extensive teaching and/or industry experience
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and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 123rd globally and 10th in Australia in QS World University Rankings 2024. To learn more
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are particularly interested in growing our strengths in areas such as: Algorithmic transparency/fairness Reinforcement learning We also are open to further developing existing capabilities in: Machine learning
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to effective learning. Emerging track record and recognition for quality research outputs which will contribute to existing Discipline and School research areas evidenced by publications, development of new
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: Search and Recommendation Human-Computer Interaction Artificial Intelligence and Natural Language Processing Data Science, Machine Learning, and Big Data Analysis Cybersecurity Distributed Computing