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In collaboration with people from Monash materials engineering, neuroscience and biochemistry we are developing living AI networks where neurons in a dish are grown to form biological neural
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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an evidence synthesis or implementation science context Why This Role This is a fixed-term, full-time position embedded within one of Australia's most active evidence synthesis groups, located at the Alfred
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, collaborating with academics and staff Transform ideas into impact by enabling research initiatives and programs The Opportunity The Medicine, Nursing and Health Sciences (MNHS) Faculty Office is seeking
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to quantify how weathering, erosion, transport, and sedimentation governed carbon budgets throughout the Cenozoic. By bridging landscape evolution theory with carbon sequestration science, the Research Fellow
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them The Opportunity Join the Department of Data Science and Artificial Intelligence as a Research Fellow and play a leading role in advancing artificial intelligence research for healthcare
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PhD Opportunity - Indigenous (Energy) Job No.: 685291 Faculty: Faculty of Information Technology, Monash Business School and Faculty of Engineering Location: Caulfield or Clayton campuses Duration
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The Opportunity Are you ready to steer one of Australia’s most dynamic biomedical environments and redefine the future of human health? Reporting to the Head, School of Biomedical Sciences and Director, Biomedicine
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In EdgeFusionAI (EFAI): Real-Time Multi-Sensor Multi-Modal Intelligence on Edge Devices, we aim to design and develop efficient techniques for fusing heterogeneous sensory data, including vision, LiDAR, radar, and other modalities, to enable robust and real-time decision-making on...
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In EdgeVLMOpt (EVO): Optimizing Vision-Language Models for Resource-Constrained Edge Devices, we aim to develop efficient and scalable techniques to enable the deployment of advanced vision-language models (VLMs) on edge hardware. While VLMs have demonstrated strong capabilities in multimodal...