Closing date: 29 October 2021
Abertay University R-LINCS2 funding. A PhD studentship that comprises tax-free stipend of £15,609 (increasing in line with UKRI per annum) per year over 3.5 years, student tuition fees paid, and a generous study package (e.g. limited research consumables, travel budget, and training when appropriate). The successful candidate will have access to the pan-University Graduate School, which offers facilities and an integrated training programme to the postgraduate community within a single centre, serving to inculcate interdisciplinary and collaborative working in our next generation of researchers. You will be expected to undertake limited teaching duties of no more than 70 hours a year. We provide training on this activity, and it is a valuable part of career development. The Studentship is available for a February 2022 start. Interviews are likely to be online in the November/ December 2021.
Abertay University was the first university in the world to offer degrees in ethical hacking and computer games. Abertay is currently leading a new £11.7 million project to create a cybersecurity research and development centre as part of the Tay Cities Deal. The University has recently been recognised as an Academic Centre of Excellence in Cyber Security Education (Gold Award) by the National Cyber Security Centre. Abertay is also lead of an £11.5 million R&D Centre based in the heart of the Dundee video games cluster, in partnership with Dundee University and the University of St Andrews. Abertay has been named “UK University of the Year for Teaching Quality” by The Times & Sunday Times Good University Guide 2021.
Romance fraud is a form of social engineering, whereby fraudsters create a fake profile on dating platforms and strike up a relationship with their potential victims, with the end goal of conning individuals out of money. Romance fraud is a growing, particularly cruel form of cybercrime. Victims are left heartbroken, often facing financial ruin. Romance fraud has been exacerbated by the COVID-19 pandemic, alongside other cybercrimes (Lallie et al., 2021). This surge in fraud has presented challenges for law enforcement dealing with this volume of cybercrime (Horgan et al., 2021). Although previous research has been conducted into the detection of fake profiles (Suarez-Tangil et al., 2019), more work is needed to support the decision-making processes of potential victims online. The PhD project aims to develop a robust machine learning model to detect fraudster behaviour and applies existing theoretical frameworks and decision-making techniques to enable users to recognise fraudsters. Results will impact on society by keeping individuals safe online and informing the work of our project partners in law enforcement.
The candidate will be supervised within the Division of Cyber Security by Dr Lynsay Shepherd, Prof Graham Johnson and, Dr Andrea Szymkowiak. For informal enquiries about this studentship please contact Dr Lynsay Shepherd (firstname.lastname@example.org).
Candidates must have, or must expect to obtain, a first class or upper second-class honours degree in Computing or related disciplines such as Cyber Security, Artificial Intelligence or Computer Games Technology. Consideration will be given to candidates from other disciplines who can demonstrate appropriate research and programming skills. Candidates must also have:
Applicants who are non-native speakers of English, the University requires IELTS of 6.5 (with no band less than 6.0) or an equivalent qualification accepted by the Home Office.
Call for Events is now open! We're supporting Members and Expert Fellows to lead activities that explore aspects of TIPS in the Digital Economy. We will help to organise the activity with up to £5,000 to cover the associated costs.