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. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis
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Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA)
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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, enabling proactive measures against potential threats. Required knowledge Python programming Machine learning background
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to learn robotics or human-centered research methods will also be considered. Experience with programming languages (particularly Python), deep learning frameworks, and robotic simulation platforms (ROS
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experience with programming (e.g., Python), machine learning, or educational data is beneficial, it is not a strict requirement. The project provides ample opportunities to develop these skills over time. What
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Academic transcript Applications Close: Sunday 1 March 2026, 11:55pm AEDT Minimum entry requirements: https://www.monash.edu/admissions/entry-requirements/minimum Research webpages: https://www.monash.edu
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statement of interest Academic transcript Applications Close: Sunday 1 March 2026, 11:55pm AEDT Minimum entry requirements: https://www.monash.edu/admissions/entry-requirements/minimum Research webpages
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applying AI/ML techniques (deep learning, natural language processing, computer vision, reinforcement learning) to complex scientific problems Expert Python programming with major ML frameworks (TensorFlow
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processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based