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challenges. Working within a collaborative, inclusive and high-performing research environment, you will help advance process modelling, soft sensor development, process control and comminution technologies
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process control while building your research profile and professional network. Key responsibilities will include: Research: Maintain and develop expertise in mineral processing research, undertake
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. • Author the process-of-record (flow sheet, recipes, metrology plan, in-line control limits) and support its lab-to-fab transfer to the partner line, including joint failure analysis and corrective process
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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-UAS technologies o Multi-agent systems and swarm robotics o Autonomous navigation and guidance o Computer vision and perception o Machine learning
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PMSRM/PMSynRel) control using inverters, high-performance motor drive control, and Battery Management Systems. • Develop digital twins of the detailed electrical power system based on the concept
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28th October 2026 Languages English English English PhD Research Fellow in Learning-based Control of Autonomous Robot Manipulation Apply for this job See advertisement About the position A fixed
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systems, quantum control, quantum stochastic processes, quantum information, or the mathematics of dynamical systems and machine learning. Knowledge of input-driven and stochastic dynamical systems
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Job Description • Develop dynamic models and simulation frameworks for a novel pier-free telescopic coastal barrier system. • Design and implement coordinated control algorithms
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prototyping of intelligent HVOF spraying equipment with integrated control systems; (c) contribute to the development of multi sensor fusion technologies for defect prediction and process parameter