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systems. Design and develop algorithms for path planning, coordination, and execution in multi-agent environments. Analyze theoretical aspects of distributed systems, including optimization, scalability
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, physical AI, and spatial AI. The RF will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision Group’s long
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supply chain processes, including transport operations, fleet management, and operational readiness frameworks Model & Algorithm Development: Design, build and implement optimisation models for various
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stakeholders across key markets. Key responsibilities include: Media Relations & PR Content Distribution Build and maintain strong relationships with local and international journalists, editors, and media
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distribution, and smart-grid applications. The Research Fellow will contribute to project execution, research proposal preparation, industry collaboration, and the dissemination of research outcomes through
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Autonomous Systems and Control to develop efficient, performance-guaranteed distributed control methods leveraging cutting-edge learning algorithms and AI techniques. The Research Associate is expected
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algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under
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green energy systems design, modelling, analysing the inertia impact on the next-gen transmission and distribution grid network Expertise in EMT & RMS Modelling tools such as PSCAD, DigiSilent