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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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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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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
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powder bed fusion system, focusing on automation and control aspects of this novel machine and the implementation of an in-process monitoring system. This role is central to our efforts to push the
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equipment. Job Requirements: Education qualifications: PhD (Mechanical Engineering) or above Soft skills: Organization management and project progress control ability, channel development and industry