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Field
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an important part of a Monash AI institute collaboration between the Arts and IT faculties around technology for orientation and mobility for Blind and Low Vision people. The PhD project will undertake
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-expression research from predominantly vision-only pipelines towards multimodal foundation-model approaches that combine subtle visual motion with structured language-level representations such as action units
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integrating AI with vision at the edge. Despite recent advancements, the synergy between AI and computer vision remains constrained by fundamental imaging bottlenecks. Conventional HDR techniques frequently
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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for data-efficient vision foundation models. Foundation models in computer vision currently rely on massive datasets and brute-force scaling. This leads to high data requirements, hidden biases, limited
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robot learning and edge deployment. Closing date: 15 August Overview Robotics is entering a new phase where foundation models connect perception, language and action. Vision-language-action models, robot
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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application! We are now looking for 1–2 PhD students for the Division of Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit
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on the development of first-time-right design tools for multi-optics imaging systems, to be implemented in harsh condition vision applications. In modern perception, navigation and quality inspection applications
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of vision systems and AI techniques for perception, decision-making, and control, enabling robots to operate reliably in complex agricultural environments. The research will involve design, experimentation