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We have 895 computer PhD Projects, Programmes & Scholarships

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computer PhD Projects, Programmes & Scholarships

We have 895 computer PhD Projects, Programmes & Scholarships

Cyber Security for Active and Flexible Networks (Cyber-SAFEN)

The electricity network serves as the interface between distributed generation, active demand and local flexibility market, and digital substations are enablers for the network power flow to be controlled and directed safely and securely. Read more
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Mathematics: Fully Funded UKRI and Swansea PhD Scholarship: Optimal problems under contagious markets with regime switching and risk uncertainty

Funding providers: UKRI and Swansea University's Faculty of Science and Engineering. Subject areas: Stochastic Optimal Controls, Point Processes, insurance strategies, regime switchings, and Risk Uncertainty. Read more

Multimodal Control of Prosthetic Limbs/Paralysed Muscles

This project aims to enhance the quality of life of patients with amputees, spinal cord injury, stroke and brain injury by developing advanced control strategies for artificial limbs. Read more

Reconfigurable Antennas for Computational Microwave Imaging

Conventional microwave imaging methods involve variants of synthetic aperture radar and phased arrays. These techniques offer significant drawbacks in terms of key system metrics, including data acquisition speed, imaging resolution, and hardware-layer complexity. Read more

Formal Verification of Robot Swarms

CRADLE is an EPSRC funded Prosperity Partnership that brings together the industrial experience that Jacobs have in applied robotics and autonomous systems (RAS) with the research expertise at the University of Manchester in this field. Read more

Formal Verification of Robot Teams or Human-Robot Interaction

CRADLE is an EPSRC funded Prosperity Partnership that brings together the industrial experience that Jacobs have in applied robotics and autonomous systems (RAS) with the research expertise at the University of Manchester in this field. Read more

Assured and Scalable Self-Adaptation for the Engineering of Trustworthy Autonomous Robotic Teams

About the Project. Robotic teams and other distributed autonomous systems (DAS) are increasingly used in several application domains including logistics, manufacturing, and infrastructure inspection. Read more

Intelligent and Efficient Testing and Verification of Deep Neural Networks

About the Project. Deep Neural Networks (DNNs) have demonstrated human-level capabilities in several challenging machine learning tasks including image classification, natural language processing and speech recognition. Read more

Large Language Modeling (LMM) for unstructured dialogues

Language models such as ChatGPT have become increasingly popular in recent years due to their ability to generate human-like text and assist with a wide range of natural language processing tasks. Read more

Design principles for glancing at information by visually disabled users

We wish to explore the principles for the provision of glances at information to be used by those with visual disabilities. A glance, gist or brief look is an important aspect of interaction with the world via the visual system. Read more

Situation Coverage Testing in Simulation for Mobile Robots

As part of the Assuring International Programme we are developing a mobile robot to demonstrate our safety engineering guidance, in particular our top-level safety guidance (SACE) and our machine learning safety guidance (AMLAS). Read more

Foam improved oil recovery

Typically in oil and gas production, only a small fraction of the oil present manages to flow out of an oil reservoir under the reservoir’s own pressure. Read more

Integrating information from vision and touch in virtual reality telepresence systems

Virtual reality systems are fundamentally altering how we study human sensory perception. Similarly, to build good virtual reality systems we need a clear understanding of how the brain integrates sensory information into a robust and useful percept. Read more

How observers could represent a 3D space

Currently, we have very little idea about how the human brain represents 3D space. This is a particularly difficult problem when you consider how much the retinal image changes as people move their head and eyes. Read more

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