If you are applying for a PhD with us, you will need to think about how to fund your studies. Most applicants apply for a scholarship, either from UCL or another funding body.
We usually have a number of scholarships available through the Dawes Centre for Future Crime at UCL. These scholarships are offered via collaborations with our partner departments or external organisations and may differ in their details, so please be careful to read the exact requirements for each scholarship before applying.
Several scholarships are available for our Route A programme (four-year MRes + PhD) OR Route B programme (three-year PhD, no MRes).
These scholarships are available for pre-set topics or for open topics. Pre-set topics are specific topics that have been suggested by supervisors here at UCL and which they will be happy to supervise. Open topics are topics proposed by the applicant. Further details are below.
Please note: You may apply for either Route A (4 years, i.e. MRes+PhD) or Route B (3 years PhD only) for these scholarships. If you apply for Route B, depending on your background, in instances where we feel that you will benefit substantially from the extra year, we will recommend an offer for the Route A course and will only award a 4-year scholarship to the successful applicant.
|Eligibility||What the awards cover||Deadline for application||How to apply|
|These awards are open to UK-level fee paying students only.||Each award covers full stipend of approx. £17,631 per annum, full UK-level fees, plus conference funds of £1,200 per annum.||15 JULY 2022 However, we advise that you apply early, as we will be awarding the scholarships as soon as we identify excellent candidates.||All applications are made through the usual UCL SECReT application procedure. Please visit the Applying for a PhD page on our website for information on the application process.|
- Anticipating and governing new threats around autonomous vehicles
Self-driving cars have moved rapidly from being seen as impossible to inevitable. The suggested benefits for public safety and transport systems are substantial, but there are a number of important questions around the security of new systems, the possible inability of drivers to escape dangerous situations (e.g. where a crowd is surrounding a self-driving car), and unclear liability in the event of catastrophe. As transport systems become increasingly interconnected, the possibility for error or terror to have broad ramifications increases. This project, based in UCL Science and Technology Studies, and carried out in close collaboration with Dawes Centre for Future Crime at UCL, will seek to understand the possible opportunities and challenges surrounding self-driving cars or ‘autonomous vehicles’. The research will be mainly qualitative, with the possibility for qualitative analysis of trends and other data. It will suit a candidate with interests and expertise in science and technology policy, law, sociology of science or criminology. The successful candidate likely have a strong first degree and an MA/MSc in a relevant discipline, with interests in combining perspectives from the social sciences, humanities and science and engineering. The student will work closely with the Driverless Futures project, which has been funded by the Economic and Social Research Council (ESRC).
Potential supervisor(s): Dr Jack Stilgoe
- Measuring and countering breaches and information theft facilitated by the IoT
Internet connected devices devices are increasingly becoming part of our everyday life. Once everyday objects, such as kettles, doorbells, and televisions are commonly internet connected and collectively represent the Internet of Things (IoT). They may assist in simple tasks at home as well as storing and evaluating personal data about our health or other sensitive information. However, we live in an era where cybercriminals are looking for this information for their own purposes and data breaches are becoming a more and more prominent issue every day. This PhD project aims to measure and understand how IoT devices are affected by these attacks and to develop ways to counter it through cybersecurity frameworks.
- Crime as a Service (CaaS)
Unlike many urban acquisitive crimes, cybercrime does not necessarily require offenders to possess technical ability, as those who seek to monetise crime opportunities sometimes operate a crime-as-a-service (CaaS) model. Examples include the hire of Distributed Denial of Service attacks and ransomware exploits. However, other possibilities exist that extend beyond common conceptions of cyber-criminality and fraud. The aim of this PhD would be to (for example) to examine criminal technology markets (supply chains, CTO roles, skills and knowledge transfer) to better understand this emerging issue.
Potential supervisor(s): Professor Shane Johnson
- Development of novel dry-tagging technologies
An exciting opportunity at UCL Institute for Materials Discovery to create new approaches to molecular identification technologies to ‘invisibly’ tag items of value to be fingerprinted at a future date, without the use of classic liquid dispersions which may damage or compromise high value assets. This project will be carried out in close collaboration with Dawes Centre for Future Crime at UCL. This project will aim to develop a solvent-free route to deposit unique molecular signatures without leaving a visible imprint, which may be quickly and easily analysed. The PhD will cover identifying and establishing a tagging route compatible with the remit, synthesis of the tagging agent(s) and development of the deposition process (including construction and adaptation of existing equipment). The project will also explore the engineering of identification technologies for a robust, reliable, and ideally handheld identification unit. The project will consider both intrinsic scientific issues (to be written into academic papers) and potential commercial application, accounting for scalability, cost, and route to exploitation. This postgraduate research opportunity for a successful candidate with a minimum of an upper second-class degree (or equivalent) in Materials Sciences, Chemistry, Chemical Engineering, Physics, and/or a broad range of relevant backgrounds. The multidisciplinary nature of the project requires a candidate with a keen interest in new materials, fabrication technology and engineering, and experience in a laboratory setting. The successful candidate will conduct research in the state-of-the-art new Institute for Materials Discovery laboratory with well-funded equipment and consumables. This highly interdisciplinary research will involve many national and international academic and industrial collaborations, so a desire to proactively interact with industrial partners is highly desirable.
Potential supervisor(s): Professor Kwang-Leong Choy
- Developing an intervention to protect older people from cybercrime
Older people (aged 60 years or over) are one of the fastest growing demographic groups of novice internet users, commonly using it to access banking, shopping and healthcare management services and for social media and other communication. The growing adaption of internet technology has exposed older adults to threats of online crime. Historically, older people have been a prime target for fraud because of several factors including their relative wealth, loneliness, memory loss, being from a generation characterised by high levels of trust and hesitancy to report the crime to authorities. A move to close down physical bank branches, encouraging their customers to conduct commercial transactions online, has heightened this vulnerability. The current online interfaces that older people use to conduct commercial transactions have a generic design and it is possible that these designs are not supporting older people to negotiate them securely. For example, memory loss has implications for use of passwords and memorable information, and older people may face challenges complying with the technical specifications on secure behaviour. The aim of the PhD is to use stakeholder knowledge to develop appropriate safeguards that support older people to navigate cyberspace safely and protect them from the emerging epidemic of cybercrime victimisation. The PhD student will work with experts from law enforcement, industry (especially banks) and policy makers to deliver pre-emptive interventions for safeguarding older adults who go online.
- Testing the credibility of future threat models in food fraud
Synthetic biology and biohacking are together broadening the toolbox available to criminals and their opportunities to commit profitable crime. We propose to edit the genome of equine and other cell lines in a selection of ways intend to render the cells non-detectable by PCR-based tests for horse meat currently under development by the LGC Group and the UK Food Standards Agency (FSA). This ‘ethical hacking’ project will assist agencies such as FSA in anticipating future threats to food authenticity in the context of horse meat and other food fraud scenarios.
Food fraud is becoming increasingly prevalent within the European food industry, partly due to the pressures faced by producers within the current challenging financial climate and also the international nature of modern food production. The recent Europe-wide issue involving the detection of the undeclared presence of horse meat in beef products destined for human consumption is one high profile example. These and other cases of meat-based food fraud have driven a robust response by the Food Standards Agency, and others, in supporting the establishment of internationally standardised, accurate analytical approaches to the quantitative detection of meat adulteration. These methods are based mostly upon the polymerase chain reaction (PCR) for amplifying DNA.
The main drivers of the emerging discipline of synthetic biology are the rapidly decreasing cost of both DNA synthesis and DNA sequencing – both of which are dropping to the level of cheap, commoditised services. In turn, the CRISPR/Cas9 genome editing technology has reached such a high profile because it is as easy to use and low in cost as it is powerfully effective. All these factors have also combined to enable the emergence of the ‘biohacker’ movement, whereby members of the public can take into their own hands, kitchens, sheds and community spaces the tools of molecular bioscience previously restricted to universities and companies.
- Artificial Intelligence for securing cyber-physical systems
Critical national infrastructure (CNI) services such as utilities, manufacturing, transportation systems and healthcare, are becoming increasingly reliant on computer systems that control physical processes (so-called cyber-physical systems (CPS)) over a network. The adoption of new computing capabilities such as Edge computing, IoT sensors with wireless connectivity, and analytics, collectively known as the Industrial Internet of Things (IIoT) is seen as the next logical step in building smart and efficient CPSs in industrial applications such as agriculture, transportation, utilities and manufacturing. The deployment of IIoT into existing and new systems raise security concerns as these devices and networks have vulnerabilities that can be exploited by attackers. These environments are prone to attacks from a wide variety of adversaries with different sets of skills and capabilities such as disgruntled employees, nation-states, organised crime groups, hacktivists, and lone actors. As in other domains, there is an increased surge in applying AI-based models for improving the security of CPS and making the security more proactive. However, the reliability of these solutions are been questioned as attackers also use the same tools, AI-based techniques to design intelligent attacks that evade detection. Areas of interest include but are not limited to: i) investigating the effectiveness of AI-based security solutions in CPS against existing and future attacks; ii) developing AI-based solutions that prevent, detect and respond to attacks in real-time; and iii) developing performance metrics to explain and demonstrate the reliability of the AI-based security solutions.
Potential supervisor(s): Dr Nilufer Tuptuk
- Securing connected autonomous vehicles against adversarial attacks
Autonomous connected vehicles (ACV) process large sets of data from a wide range of external and internal sensors, such as cameras, LiDAR, radar, GPS and infrared sensors to perceive their environment to make critical decisions related to driving in real-time. The advancement in Artificial Intelligence, in particular, Machine Learning and Deep Learning have a critical role in processing this data to train and validate automation and ensure cars are able to navigate through the traffic effectively and safely. Over the recent years, there has been a significant amount of research on proposing adversarial attacks and some defence mechanisms against them, but we are yet to understand the impact of these attacks (i.e. potential to harm) and the effectiveness of the proposed defence mechanisms. In this project the PhD candidate will investigate i) how Artificial Intelligence (AI) is being used to support automation and decision making, ii) develop a threat model for adversarial attacks; iii) analyse the impact of adversarial attacks on the vehicle and other road users when AI-based decision systems are under attacks; and iv) develop a security monitoring tool that can prevent, diagnose and mitigate adversarial attacks in real-time.
Potential supervisor(s): Dr Nilufer Tuptuk
- Citizen participation in national cybersecurity protection
Cybersecurity of industrial IoT (IIoT) systems together with critical national infrastructure (CNI) along their respective networks has received considerable attention in recent years. The emergence of novel AI-based threats pose an additional challenge for complex industrial systems’ safety and security. The protection of these systems with AI countermeasures, along with scalability demands and other trade-offs, carry inherent vulnerabilities too. Therefore, an effective protection of CNI remains a considerable challenge for the future of these systems.
In this project the PhD candidate will explore the social and technical requirements, conditions, and ethical challenges of citizen participation in the protection of CNI and IIoT systems. These may include, but are not limited to:
- The challenges associated with distributed cybersecurity systems citizen-participation in distributed computing for dynamic national cybersecurity needs;
- The requirements and permissibility of voluntariness and the limits of regulatory policies;
- HW/SW requirements for implementation of such policies;
- Proposal for regulation of active and/or passive, opt-in or opt-out regimes of citizen-participation in national cybersecurity protection.
- Role of time in time-critical cybersecurity decisions
One of the key recognition of the National Digital Twin Programme is the role of time and aspects of timeliness in the datasets about infrastructures. As more and more critical national infrastructure (CNI) and large industrial complex systems are managed by digital technologies, they are also challenged and defended by artificial intelligence (AI) in real-time. Thus, the time-critical nature implies not only datasets, but they poignantly influence the nature and morality of decision-making, possible reaction time intervals, and the justifiability of such decisions.
The importance of time and time-critical automated decisions pose challenging ethical questions and legal liabilities for countries, operators, businesses, as well as users. Therefore, this project will investigate:
- The relevance of time in ethical decision-making in time-critical systems;
- The threats of social engineering in time-critical cybersecurity decisions;
- Relevance of time and timeliness in digital twin solutions, focusing on smart cities and private homes;
- Inherent vulnerabilities of AI systems from the perspective of time-critical automated or augmented decision-making, e.g. lack of data; reliance on historical data that influences future decisions.
If you have a topic that you would like to explore that is not covered by the pre-set topics, you may apply for an ‘open topic’ scholarship. This means you may develop your own idea for a research topic, and then approach academics at UCL to find two potential supervisors, and then apply for one of the DAWES-UCL SECReT scholarships. In this case, please detail your proposed research topic in your application – note that your topic must fit with the future crimes vision and agenda of the Dawes Centre for Future Crime. If you would like to check the suitability of your proposed topic before submitting an application please email Prof Shane Johnson.
Remember that although our focus is future crime, this does not mean that we will only award scholarships to ‘high tech’ research topic proposals. We are equally interested in the way that, for instance, changes in society/demographics/people movement might influence crime – and we are happy to consider proposals that combine social sciences with engineering/mathematical/physical sciences. Possible research areas that we are happy to look at include (but are not restricted to) the following:
- Autonomous vehicles
- Smart rail signalling systems
- Non-GPS navigation
- Brainwave reading/control
- Smart lighting
- Performance-enhancing prosthetics
- Instructional technology
- Generic technologies
- Quantum computing
- 3D printing
- Mass customisation
- Portable, renewable power
- Wearable ICT
- Smart materials
- Stealth technologies
- Sensors, sensor fusion
- Chemical synthesis
- Advanced optics
- Hacking (both senses)
- Background changes
- Climate change e.g. temperature, sea level/acidification, water, food shortage
- Mass migration
- Antimicrobial resistance
- Commodity scarcities
- Commodity substitution e.g. Mo for Pt catalysts
- Universal wage
- New finance/banking models
- New working patterns
- New transport/movement patterns
- Any concentration or dispersal of value, anywhere in the value chain
About the funders
The Dawes Centre for Future Crime at UCL was established in 2016 with a £3.7M grant from the Dawes Trust. It has the broad vision of completing cutting-edge, application-focused research designed to meet the challenges of the changing nature of crime. Research aims to both forecast the nature and spread of future crime opportunities, and to propose methods for tackling them effectively before they become established.
UCL SECReT is a £17m international centre for PhD training in security and crime science at University College London, the first centre of its kind in Europe. We offer the most comprehensive integrated PhD programme for students wishing to pursue multidisciplinary security or crime-related research degrees.
These studentships are offered via the UCL Centre for Doctoral Training in Cybersecurity, an exciting collaboration between three UCL departments - Computer Science (CS), Security and Crime Science (SCS), and Science, Technology, Engineering and Public Policy (STEaPP) - designed to increase the capacity of the UK to respond to future information and cybersecurity challenges.
Several of the 10 studentships on offer via the CDT this year will be awarded to students whose research will span both the Computer Science and Security and Crime Science departments. (We would expect you to identify a potential supervisor in each dept when applying.)
For full details about the CDT in Cybersecurity and the studentships, please click here.
There are other sources of funding available to graduate research students. The UCL website lists some of these, and you can visit external websites such as the Postgraduate Studentships website for funding options external to UCL. Please direct any questions you may have regarding other scholarships to the relevant funding organisation, as we are only able to answer questions about the DAWES-UCL SECReT and CDT Cybersecurity-DAWES scholarships listed above.