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We have 55 Aerospace Engineering (knowledge) PhD Projects, Programmes & Scholarships

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Aerospace Engineering (knowledge) PhD Projects, Programmes & Scholarships

We have 55 Aerospace Engineering (knowledge) PhD Projects, Programmes & Scholarships

Postgraduate Research at the School of Science, Engineering and Environment, University of Salford

At the School of Science, Engineering and Environment (SEE), University of Salford more than 280 postgraduate researchers (PGRs) and 200 academics conduct research that was rated in the 2021 Research Excellent Framework (REF) as “world-leading or internationally excellent” (78%) and as generating “outstanding innovative impact” (88%). Read more

Autonomous Data-Driven Modelling for Advanced Satellite Constellation Management

Who can apply?  Australian Citizens & Permanent Residents New Zealand Citizens Preference is given to international students currently studying in Australia, all nationalities are welcome to apply. Read more

Go On, Disturb the Flow

Supervisory Team. Dr. Swathi Krishna, Prof. Bharath Ganapathisubramani. Project description. If you are a student of aerodynamics, chances are that you have drawn a conventional airfoil with nice, laminar incoming flow at some point. Read more

PhD (4 years, paid) on on Advanced Material Modelling using Finite Element Analysis for Technical Textiles and Textile Manufacturing

Job description. We are seeking a dedicated PhD candidate and postdoc on advanced material modelling in the textile domain. In this project you will dive deep into a cutting-edge research area, exploring the complexities of advanced textile material modelling. Read more

Distributed active reinforcement learning for multi-agent planning and control

With the rapid development of network-connected systems, coordination and cooperation among the subsystems/agents have become increasingly important and powerful in many control and robotics applications. Read more

Model-based Approach for Prognostics Health Management (PHM) for Fusion Reactors

  Research Group: Plasma and fusion science and technologies
The University of York is at the forefront of transformative research in data-centric engineering, digital twins, and AI, bringing about a revolution in the design and operation of systems. Read more

Human Interaction with Low-Speed Autonomous Vehicles

  Research Group: Intelligent Systems and Robotics
The University of York is embarking on ground-breaking research that focuses on data-centric engineering, digital twins, and AI, revolutionizing the way systems are designed and optimized through data. Read more

Explainable AI for Safety Critical Engineering Systems

  Research Group: Intelligent Systems and Robotics
The University of York is at the forefront of transformative research in data-centric engineering, digital twins, and AI. Our pioneering work is revolutionizing the design of complex systems by harnessing the power of data. Read more

A Superconducting Brushless Exciter for High-power Density Electrical Machines

Background. The ability of high-temperature superconducting (HTS) materials to carry large current densities with little or no resistance makes them attractive for providing large rotor magnetic fields in high-power density superconducting electrical machines. Read more

Mechatronics system for hybrid manufacturing processing - (ENG 1316X2)

Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a 3 year PhD program in partnership with industry to address key challenges in on-platform manufacturing engineering. Read more

Computer vision and robot control for performing on-wing repair of aero-engines - (ENG - 1398X1)

Rolls-Royce University Technology Centre (UTC) in manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a 3 year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. Read more

Causal Machine Learning in Aerospace PhD

This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its limitations. Read more

Multiscale investigation of corrosion deposition in high temperature high pressure water for nuclear power plants

We are pleased to present an exciting PhD opportunity in collaboration with Rolls-Royce, providing a unique chance for candidates to participate in a multiscale investigation of corrosion deposition in high-temperature, high-pressure water for nuclear power plants. Read more

Advancements in Biomedical Device Design and Manufacturing for Personalized Healthcare

This research project offers an exciting opportunity for individuals interested in the intersection of biomedical engineering and advanced manufacturing techniques, particularly in the realm of personalized healthcare. Read more

Computational Fluid Dynamics (CFD) for Urban Air Quality Simulation and Management

This research project offers an exciting opportunity for individuals passionate about addressing the critical issue of urban air quality through cutting-edge computational fluid dynamics (CFD) techniques. Read more

Advancements in Finite Element Modeling of Soft Robotics for Biomedical Applications

This research project presents an intriguing opportunity for individuals intrigued by the intersection of finite element modeling and soft robotics, particularly within the realm of biomedical applications. Read more

Additive Manufacturing of High-Performance Composite Materials

This research project offers an exciting opportunity for individuals interested in advancing the field of materials processing science, specifically in the realm of additive manufacturing (AM) of high-performance composite materials. Read more

Research Studentship in Impact Engineering

Research Studentship in Impact Engineering. 3.5-year D.Phil. studentship . Project. New paradigms for X-ray probing of dynamic failure at the mesoscale. Read more

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