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Research Collaboration (MQ Collab), a three-year research program focused on advancing Road Transport Psychology and Road Transport Safe Systems. With over 30 staff and postgraduate scholars, the key areas
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they will need in an increasingly disrupted and challenged world. The Research Fellow will be located in the MAIC-QUT Road Safety Research Collaboration (MQ Collab), a three-year research program focused
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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. This position is best suited for candidates with a strong background in computational material science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary (Level A) – AUD
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to develop their research expertise relevant to their particular field of research. This position is funded by the ASIC Defence Trailblazer Grant. To be successful you will need: A PhD in Mathematics, Computer
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we are looking for (Selection Criteria): Essential: A PhD (or near completion) in geochemistry, geology, data science or a related discipline. Demonstrated knowledge of, or strong interest in critical
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CEPAR’s Asia program. Conduct research independently or as part of a team. Build and use models, software, and databases; analyse data and share findings. Help prepare funding applications with guidance
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academic, industry, and government partners Participate in team meetings and cross-disciplinary discussions Publish high-quality research in journals and conferences Who You Are: PhD in actuarial studies
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predictive control, and/or reinforcement learning. PhD (or soon to be completed) in engineering, applied mathematics, or computer science, with an ability to start in mid-late 2025 a research track record
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-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing