140 big-data-and-machine-learning-phd positions at Swinburne University of Technology
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Systems (LMS) and assistive learning technologies to support inclusive and flexible learning experiences Further information about this role can be found in the attached position description. Qualifications
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applications for a fully funded PhD scholarship to work on a cutting-edge research project supported by the Australian Research Council. This project focuses on polarons—quasiparticles representing impurities in
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Exciting opportunity for Data Engineers to join the Data and Insights team at Swinburne. Fixed term, (June 2026) full time role based in Hawthorn. Attractive Salary and hybrid working environment
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and confident really helps. Some experience or familiarity with CNC machines, surface engineering or automated manufacturing systems. An interest in machine learning or data analysis, especially
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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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, functionalising, and characterising nanoparticles for targeted delivery in the human body. Responsibilities also include in vitro cellular testing, data analysis from cytotoxicity and bioavailability studies, and
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Opportunity to help develop a novel nanophotonic therapy targeting drug-resistant hypertension Full-time, fixed term (3.5 years) position at our Hawthorn campus Annual stipend $40,000 About the Role We are seeking a talented and motivated graduate in biomedical engineering, mechanical...
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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seeking a skilled and motivated Teaching and Learning Officer to support the smooth delivery of Vocational Education and Training (VET) programs. In this dynamic role, you’ll provide vital administrative
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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research