or
Continue with FacebookLooking to list your PhD opportunities? Log in here.
We have 44 Electronic Engineering PhD Projects, Programmes & Scholarships for Self-funded Students in York
Electronic Engineering PhD Projects, Programmes & Scholarships for Self-funded Students in York
We have 44 Electronic Engineering PhD Projects, Programmes & Scholarships for Self-funded Students in York
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
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
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
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
Generative AI in 6G and beyond networks
Research Group:
Communication Technologies
As the world anticipates the rollout of 6G networks, there's a growing need to explore innovative technologies that can empower these networks to meet the evolving demands of connectivity. Read more
Intelligent microsystems – Micro-sensors with in-sensor computing capabilities
Research Group:
Intelligent Systems and Robotics
In the era of Internet-of-Things (IoT), there will be an astronomical amount of data generated from numerous sensors worldwide. It is extremely insecure, power-inefficient, and time-consuming to transfer all the data between sensor nodes and computing units frequently. Read more
High-lifespan many-core devices
Research Group:
Intelligent Systems and Robotics
Switching activity and other technology-related parameters have a significant effect on circuit aging and can therefore affect the lifespan of devices. Read more
Bio-inspired Systems, Neuromorphic Hardware, Unconventional Computing
Research Group:
Intelligent Systems and Robotics
Applicants are invited in one, or a combination of, the following areas. Bio-inspired Systems. Read more
Multi-Fidelity Modelling of Rechargeable Battery Degradation
Research Group:
Intelligent Systems and Robotics
Rechargeable batteries play a key role in electric vehicles and transition to net zero. One of the current challenges in batteries is degradation, which causes capacity retention and resistance increase as the battery cycles. Read more
Integrated High Altitude Platform: LEO Satellite Mega-Constellations for Next Generation Non-Terrestrial Networks
Research Group:
Communication Technologies
LEO satellite mega constellations promise to revolutionise wireless connectivity in many areas of the world. However, they have a fundamental drawback… Read more
Artificial Intelligence enabled Distributed Edge-Centric Cellular Networks
Research Group:
Communication Technologies
Today, wireless cellular networks rely heavily on the core network to deliver services. This introduces latency and other inefficiencies. Next generation networks will be much more edge centric, enabling ultra-reliable low latency (URLLC) services to be delivered. This requires a fundamental rethink in how edge-centric cellular networks should be delivered. Read more
6G Wireless Communications for Connected and Autonomous Vehicles in Challenging Environments
Research Group:
Communication Technologies
Future autonomous and semi-autonomous vehicles will rely significantly on wireless connectivity to exchange information between other vehicles (V2V) and… Read more
Artificial Intelligence based Electric Vehicle Motor Design
Research Group:
Intelligent Systems and Robotics
Electric vehicle development has been a hot topic around the world. This PhD programme will develop artificial intelligence based computational tools to accelerate electric vehicle motor design and optimization process. Read more