-
Research Fellow in AI‑Driven Community Safety Research Job No.: 685050 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $83,280 - $113,025 pa
-
Research Fellow in Computational Neuroscience Job No.: 686523 Location: Clayton campus Employment Type: Part-time, fraction (0.7) Duration: Fixed-term appointment until 30 November 2026 Remuneration
-
them Help shape healthier, more sustainable cities. Healthy Active Cities (formerly Sustainable Mobility and Safety Research) is Australia’s leading active transport research group. We create people
-
program that advances the understanding within the scientific fields of brain and mental health. This position will contribute to the research priorities of the Turner Institute for Brain and Mental Health
-
join our Injury Analysis and Data team. In this pivotal role, you will contribute to cutting-edge research that informs policy and practice applying safety science to prevent injuries in areas such as
-
across academia and industry. This position forms part of a major national program in Australian green ironmaking and will utilise Monash’s world-class analytical capabilities and pilot-scale facilities
-
the guidance of artificial intelligence techniques. The project will develop novel design processes that embed material behaviour within agent-based and machine learning computational design systems
-
Research Fellow in Fractional Edge Decompositions of Graphs Job No.: 687653 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A (plus 17% employer superannuation) Amplify your impact at a world top 50...
-
evaluate methods via experiments, benchmarking, simulation and/or real‑world data. The successful candidate will have: A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field
-
. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film