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. The research areas include multimodal sensing, artificial intelligence, environmental perception and situational awareness, as well as real-time motion planning and decision-making, allowing humanoid robots
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their 4th or 5th year of studies (M1, M2 or gap year) - Computer vision skills - Machine learning skills (deep learning, perception models, generative AI…) - Python proficiency in a deep learning framework
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the Behavior, Rights, and Well-being research area, to which the PhD candidate will be affiliated. “Vulnerability to data exchange risks : firm strategies and consumer perceptions ” The doctoral project
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. The research areas include multimodal sensing, artificial intelligence, environmental perception and situational awareness, as well as real-time motion planning and decision-making, allowing humanoid robots
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advanced machine learning models, including multimodal perception and foundation model based systems, within distributed data, training, and inference pipelines. Perform hands-on research engineering at
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
This project develops an AI-informed, community-grounded framework to understand and mitigate antimicrobial resistance (AMR) risks within a planetary health context. Building on the risk modelling
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is available from 01 January 2027 or later. You can submit your application via the 'Apply' button above. Title PhD Position in Physical AI: Adaptive Foundation Models for Robotics Research area and
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, ECG, GSR and other biosignals. Multimodal data analysis Machine learning and advanced statistical modeling Research experience in perception, consciousness, cognition, or emotions will also be valued
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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project - “Multimodal visual route following for UAV precision repeat-pass surveying”. He/She will be required to: (a) conduct research on multimodal visual perception and route-following for UAV repeat