PhD Studentship in Defensive Cybersecurity Management: Continuous Breach Detection Service (CBDS) and Human Reconnaissance
Closing date: 31 July 2021
Applications are invited for a three year Postgraduate studentship in the College of Business and Social Sciences, to be undertaken within the Cyber Security Innovation (CSI) centre at Aston University. The successful applicant will join an established experimental group working on cybersecurity defence. The studentship is offered in collaboration with by the CyberQ group, an industry partner of the CSI. The position is available to start in either October or April 2022, subject to negotiation.
About the project
The PhD candidate will carry out research into Continuous Breach Detection Service (CBDS), Security Operations Centre (SOC) and Human Reconnaissance (Human Recon). Continuous Breach Detection Service monitors the external environment and provides a unique line of sight of an organisation’s online presence. By monitoring the surface, deep and dark web, it is possible listen for what’s being said about an organisation from outside and within, to check if account details are being shared, if intellectual property (IP) or data is at risk and if the organisation’s brand is being misused without their knowledge. The project is closely linked to the cutting edge recon techniques already in use at CyberQ and we would welcome new ideas to further the relevant research agenda, particularly in the areas of emergent technologies. Before submitting a formal application, candidates should contact Prof Vladlena Benson by email for a preliminary discussion: email@example.com. Suitable candidates will then be invited to formally apply. Please include the supervisor name and project reference in your communication. Project Reference: ABS_Benson_CyberQ.
The successful applicant should hold the equivalent of a UK First or Upper Second Class Honours undergraduate degree from an approved university or higher education institution. They should also hold, or expect to achieve, a Masters degree with an overall weighted average of 60% in Computing, Machine Learning, Cybersecurity or Analytics. Preferred skill requirements include knowledge/experience of cybersecurity risk management frameworks, cryptography, UBA, ML/DL, network security, DLT/blockchain and programming languages.
This studentship includes a fee bursary to cover the home fees rate, plus a maintenance allowance of at least £15,609 (subject to eligibility). This studentship is only available to Home UK students.
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