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We have 21 Cyber Security PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Edinburgh



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Edinburgh  United Kingdom



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Cyber Security PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Edinburgh

We have 21 Cyber Security PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Edinburgh

A PhD in Cyber Security research is aimed at tackling the vulnerabilities in the information system of a country to help mitigate the chance of a cyber attack.

What's it like to do a PhD in Cyber Security?

Cyber Security is a fast-growing field of study in both the public and private sectors. A PhD in Cyber Security will help governments and organisations develop strategies to improve their cyber- resilience against cyber attacks.

Some popular areas of research in Cyber Security include:

Digital forensics

Cyber attacks are becoming increasingly sophisticated and to help mitigate the damage, you'll be researching into the methods to recover digital assets.


As the world makes more and more use of data, the need for secure data transmission has become inevitable. You'll likely be looking into the methods of encryption and decryption of data to help ensure it's safe during transmission.

Cyber attacks

Cyber Security is also a field of study that looks into the methods to protect people and organisations from cyber attacks. You may look into methods to detect, investigate and mitigate cyber attacks.

For a PhD in Cyber Security, you may write a thesis that's self-contained and also contributes to wider academic fields. You may also be required to submit an oral defence of your thesis.

Like most other STEM subjects, a PhD in Cyber Security is usually advertised with a research aim already attached.

Entry requirements for a PhD in Cyber Security

A PhD in Cyber Security will require you to hold a Masters with at least an Upper Second-class honours degree in a related subject.

Some programmes may accept a Lower-Second class honours degree with a certain amount of extra modules or work experience.

You may also be asked to prove that you've the necessary language skills to complete your PhD, certain programmes may require you to demonstrate that you have certain level of language proficiency before you can be accepted.

PhD in Cyber Security funding options

In the UK, a PhD in Cyber Security is funded by the Engineering and Physical Sciences Research Council (EPSRC) which provides a fully-funded studentship along with a monthly stipend.

If you are applying for a PhD that is advertised with funding attached, you'll automatically be considered for funding if you're successful in your application. However, if you are proposing your own project, you'll have to first be accepted onto a PhD programme and then apply for funding if you wish to receive it.

PhD in Cyber Security careers

Cyber Security careers are as diverse as the field of study itself. You may end up working in Information Security for a large company, work for the government as a digital forensics expert or be an integral part of a hackers' team.

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Cyber Digital Twin for Clean Water Treatment Systems

Most organisations/companies use bug bounty hunting programs to identify and then fix security vulnerabilities in their systems. Bounty hunters, in return for a reward, address cybersecurity flaws faced by organisations/companies before criminals/state-sponsored hackers exploit them. Read more

Towards an Evolving Approach to Evaluate Security Monitoring Tools

With continuing growth in the size of computer networks and applications, the potential damage that can be caused is increasing. Intrusion detection is a common cyber security mechanism used to detect malicious activities in host and/or network environments. Read more

Behavioural Analysis for Ransomware Detection

Edinburgh Napier University’s Cyber Security and Forensics Research Group focuses on applied research in core areas of threat analysis and detection, digital forensic triage, trust, identity and cryptography, and has had successful real world impact with several spin-out companies, including in the area of Ransomware. Read more

Adversarial Learning for Industrial Control Systems

Cyber-attacks are increasingly posing more and more threat to information assets and computer systems in general. This is particularly so in industrial control systems which refer to a generalized group of automation systems employed in controlling and keeping track of industrial and manufacturing facilities [1]. Read more

Social Media Information Leakage and Privacy Preserving Mechanisms

In early 2018 when it was revealed that Cambridge Analytica had harvested the personal data of millions of peoples' Facebook profiles without their consent and used it for political advertising purposes, thus resulting in a major political scandal, a massive fall in Facebook's stock price and calls for tighter regulation of tech companies' use of personal data. Read more

PhD studentship in Quantum Computing

One fully funded PhD position to work with Prof Elham Kashefi in the School of Informatics at the University of Edinburgh on a project titled “Quantum Computing”. Read more

Trust, risk and digital identity for digitally-unsure citizens

There is an increasing research interest in security as a user experience issue (Zagouras et al, 2017), and some calls to examine the information practices around privacy and security (eg Dourish & Anderson, 2006). Read more

Security of Electric Vehicle Charging Infrastructure

The rise of Electric Vehicles (EVs) drives an increase in demand and rapid development of the charging infrastructure, where a charger interconnects with an EV and a charging provider as well as a site controller to authorise charging sessions and report any errors. Read more

Multi-modal machine learning for cybersecurity in the Internet-of-Things (IoT)

With the time, the intruders are becoming more intelligent with higher ability of attacking networks without being identified. Multi-modal machine learning-based intelligent intrusion detection systems must be designed to identify stealthy and adversarial cyber attacks. Read more

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