Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 78 Computer Science (cyber) PhD Projects, Programmes & Scholarships

Discipline

Discipline

Computer Science

Location

Location

All locations

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


Computer Science (cyber) PhD Projects, Programmes & Scholarships

We have 78 Computer Science (cyber) PhD Projects, Programmes & Scholarships

Last chance to apply

Cyber Secuirty

An opportunity to apply for a funded full-time PhD in the College of Arts, Technology and Environment, UWE Bristol. The studentship will be funded by the Wallscourt Foundation to further our continued research investment and commitment at UWE for growing capacity and expertise within our Cyber Security team. Read more

Fully funded EPSRC Centre for Doctoral Training (CDT) in Cyber Security

Digital infrastructures are at the heart of our societal fabric. They range from traditional critical infrastructures, for example, water, power to emerging ones such as smart cities, intelligent transportation, Fintech and future banking, through to large social and business interaction platforms. Read more

Fully funded EPSRC Centre for Doctoral Training (CDT) in Cyber Security

Digital infrastructures are at the heart of our societal fabric. They range from traditional critical infrastructures, for example, water, power to emerging ones such as smart cities, intelligent transportation, Fintech and future banking, through to large social and business interaction platforms. Read more

Cyber Resiliency of Electric Vehicle Infrastructure [Self-Funded Students Only]

Cyber resiliency is one of the key requirements for constantly fighting against cyber-attacks on critical infrastructure. Research community as well as industry have realised that providing cyber resiliency is one of the key challenges as of now. Read more

Investigating Quantum Machine Learning for Cyber Security

Quantum Machine Learning (QML) is an emerging field of research that leverages quantum computing to improve the classical machine learning approach to solve complex real-world problems. Read more

Estimate Cyber Risks for Electric Vehicle Infrastructure [Self-Funded Students Only]

Context. Currently there is an urgent need for a sustainable digital route to zero-carbon road transport by facilitating low-carbon charging of electric vehicles (EVs) to meet the 2030 target to ban all new petrol and diesel cars, and 2050 Net-Zero. Read more

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

Cyber Incident-Response of Electric Vehicle Infrastructure [Self-Funded Students Only]

Context. Advanced cyber-attacks can massively disrupt the physical systems such electric vehicle (EV) infrastructure. It is not always possible to protect the system against potential threats and the available detection capabilities may not be enough. Read more

Digital Twins in Cyber Security Analysis of Connected and Autonomous Vehicles (DTCS-CAV)

Connected and automated vehicle (CAV) technology plays a significant role in the exciting transportation revolution today in the UK, offering road safety, high efficiency, less emission and a better user experience. Read more

Design, Implementation and Evaluation of Non-Cooperative Game Theoretic Models for Cyber Security

Cyber security is the assessment of, responding to and monitoring of the security of the cyberspace. It is difficult to pin down to one single scientific discipline, but rather relates to a number of domains and fields such as physical security, network security, security assessment frameworks and the human element. Read more

Agent-based cyber-physical production systems for Industry 4.0

  Research Group: Applied Computing
This project aims to develop novel methods and software tools for the implementation of highly adaptive multi-agent systems for manufacturing control, applying plug-and-produce technology to cyber-physical systems. Read more

Filtering Results