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Status: Open Applications open: 30/10/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Applications are open for the 2024 HDR Scholarship in flow assurance and corrosion mitigation at Curtin Corrosion Centre. Curtin...
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PhD Scholarship in Design optimizer tool and predictive control system of a Megawatt Charging System
deliver cutting-edge research, provide top-notch designs and developments on power electronics, powertrains and smart green energy solutions with intelligent control systems for tomorrow's mobility
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Application deadline: All year round Research theme: Systems and Control How to apply: uom.link/pgr-apply-2425 This 3.5 year PhD project is funded by The School of Engineering and is available
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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complex metal structures. This opportunity is centred around improving manufacturing productivity with advanced laser-matter interactions control and optimisation. The PhD will advance our comprehension
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will also be part of the Neural Control Project, which is a collaboration between Maastricht University and Radboud University. You will work closely with leading researchers in machine learning
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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, voltage and reactive power control, grid stability enhancement, black start capability, and renewable energy firming. There is also a growing need for HVDC converters to provide grid-forming services
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Organisation Job description Project and job description This PhD position is dedicated to advancing autonomous robotic manipulation and control within a textile-sorting cell, where garments arrive
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at the University of Oxford has world leading expertise in flow and temperature control and cooling technologies. The research will study systems and components that will minimize any thermodynamic penalties