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Project descriptionAutonomous systems are intelligent agents—such as robots, vehicles, or drones—that can sense their environment, make decisions, and act independently. When multiple such agents
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the MATSim agent-based transport simulation framework. The main task is to enable simulated agents to choose transportation modes, such as car, bus, bike, or walking, based on real-time feedback from
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extended from cloud solutions (such as OpenLLMetry), the research question is how to identify anomalies in collected information that can come from multiple AI services either invoked manually by users or by
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in AI: Generative Diffusion & 3D/4D Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Semantic-Aware Compression & Network Information Theory
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, collaboration, and effective teamwork between human workers and AI agents. The research will employ Participatory Design (PD) approach, emphasizing a democratic approach to technology design. This will require
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functioning [1]. Building on these insights, you will compile and standardise datasets of collective movement and collect new data from multiple species of freshwater fish. From these data, you will identify
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PhD Scholarship Opportunities in Optoelectronic Semiconductors at the Faculty of Engineering and Faculty of Science (Multiple Positions) Job No.: 682543 Location: Clayton campus Employment Type
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-through scientific discoveries. Job Summary As a member of the Globus team, the focus of this position will be to conduct research and development to 1) create agentic systems to address domain-specific
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on an important topic in a well-funded multi-disciplinary international training network. The training involves multiple activities, in addition to your research, and secondments across our partners. Overview
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between environmental factors—including chemical, social, physical-chemical, and lifestyle risk factors—and their effects on human and planetary health. By integrating multiple disciplines, we aim