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We have 86 Engineering PhD Projects, Programmes & Scholarships for Self-funded Students in York
Engineering PhD Projects, Programmes & Scholarships for Self-funded Students in York
We have 86 Engineering PhD Projects, Programmes & Scholarships for Self-funded Students in York
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
Autonomous Sensor Design and Verification
Research Group:
Intelligent Systems and Robotics
Sensing is essential for machines to interact intelligently and safely with the external environment, much like humans do[1, 2]. Human tactile sensing, for instance, allows us to handle a variety of objects, from delicate berries to heavy payloads – by adapting our touch and pressure accordingly. Read more
Advanced Proprioception for Robotic Legs
Humans are complex mechanical systems of interconnected bodies with a high degree of freedom (DOF). Our inner structures/bodies have naturally evolved with advanced proprioception and control, enabling us to perform a wide range of actions/movements, such as running, walking, sitting, and jumping. Read more
Clinical assessment and prediction of outcome post shoulder joint replacement using a smart device
Research Group:
Healthcare Engineering
More than 8000 shoulder replacements are performed annually in the UK alone, with numbers continuing to grow. Read more
Robotic human leg simulation
Research Group:
Healthcare Engineering
Humans are bodies; and bodies are movement. Read more
Design for functionally graded 3D printing
Research Group:
Healthcare Engineering
This project will investigate methods to design and develop functionally graded parts through 3D printed plastics. The primary focus will be on orthopaedic medical devices used to replace bone where current parts often fail due to stress discontinuities between implants and bone. Read more
Intelligent Proprioceptive Anthropomorphic Robotic Hands
Research Group:
Intelligent Systems and Robotics
Robotic hands and grippers are pivotal in robotic handling or interactions with objects, and similarly, a robot can intelligently manipulate an object. Read more
Robust Model-based Predictive Control for Hybrid Robotic Arms
Research Group:
Intelligent Systems and Robotics
In contrast to conventional robots, hybrid (soft-rigid) robots offer enhanced interaction safety alongside sensorised, repeatable performance. Read more
Dexterous Manipulation for Hybrid Robots Using Reinforcement Learning
Research Group:
Intelligent Systems and Robotics
Hybrid Robotic manipulators combine soft and rigid components that allow them to be safer and more reliable than their rigid counterparts during their interactions with the world. Read more
Hybrid Articulated Robotic Systems for Safe Human-Robot Collaboration
Research Group:
Intelligent Systems and Robotics
Articulated joints make up much of the conventional robotic systems, however, the rigidity of these systems despite artificially enhanced safety through algorithms remains a safety concern owing to critical algorithmic limitations and failures. Read more
Development of a robotic device for Anterior Cruciate Ligament (ACL) reconstruction surgery
Research Group:
Intelligent Systems and Robotics
Up to 25% of patients who undergo Anterior Cruciate Ligament (ACL) reconstruction surgery report unsatisfactory functional outcomes (Lord et al., 2019). Read more
Innovative Approaches to Sustainable Ammonia Production
Research Group:
Intelligent Systems and Robotics
Ammonia is an essential chemical widely used in agriculture and industry, with growing potential as a clean energy carrier. However, traditional ammonia synthesis via the Haber-Bosch process is highly energy-intensive and heavily dependent on fossil fuels, significantly contributing to global greenhouse gas emissions. Read more
Advanced State Estimation Techniques for Battery Packs in Electric Vehicles and Energy Storage Systems
Research Group:
Intelligent Systems and Robotics
Accurate estimation of battery pack states, such as State of Charge (SOC), State of Health (SOH), and State of Power (SOP), is essential for the safe and efficient operation of electric vehicles (EVs) and energy storage systems. Read more
York YBDTP project: Accelerating protein library screening via innovative sensor arrays
Lead supervisor. Dr Michael Plevin. Co-supervisors. Prof Steven Johnson - PET York and Prof Christoph Wälti, School of Electronic and Electrical Engineering, Leeds. Read more
Large Language models for Maintenance Optimisation
Research Group:
Intelligent Systems and Robotics
The University of York is embarking on transformative research in data-centric engineering, digital twins, and AI, revolutionizing the way systems are designed and operated. Read more