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Deadline: 13th January 2025
Wales
Closing date: 13 January 2025
Funding provider(s): EPSRC DTP
Subject area(s): Artificial Intelligence, Security, IoT
Project start date: 1 October 2025
Supervisors: Dr. Lu Zhang, Prof. Xianghua Xie, Dr. Yang Liu
Aligned programme of study: PhD in Computer Science
Mode of study: Full-time
Project description:
Edge devices, integral to the Internet of Things (IoT) and modern smart applications, have increasingly relied on artificial intelligence (AI) for efficient operation and decision-making. However, these AI-based systems are vulnerable to adversarial attacks, which can compromise their functionality and security. This project aims to investigate the vulnerability of machine learning models deployed on edge devices and develop robust adversarial learning techniques to defend against such attacks. The focus will be on identifying potential weaknesses in current edge computing frameworks and leveraging adversarial learning, edge computing and game theory to create novel methods to enhance their resilience. This includes developing algorithms capable of detecting and mitigating adversarial attacks, ensuring that edge devices can maintain secure and reliable operations even under hostile conditions. Our research will cover various applications of edge devices, including real-time data processing, autonomous decision-making, and network intrusion detection. By addressing these areas, we aim to create a framework that not only secures individual edge devices but also enhances the overall security of interconnected IoT systems. The outcomes of this project will provide critical insights and methodologies for deploying secure, AI-driven edge solutions, thereby fostering safer and more reliable IoT ecosystems.
For more details please see here: https://www.swansea.ac.uk/postgraduate/scholarships/research/fse-epsrc-phd-artificial-intelligence-2024-rs728-.php
Candidates must hold an UK Bachelor degree with a minimum of Upper Second Class honours in Computer Science, Mathematics or a closely related discipline or overseas Bachelor degree deemed equivalent to UK Bachelor (by UK ECCTIS) and achieved a grade equivalent to UK Upper Second Class honours in Computer Science, Mathematics or a closely related discipline.
Or an appropriate master’s degree with a minimum overall grade at ‘Merit’ (or Non-UK equivalent as defined by Swansea University) – see country specific qualifications
IELTS 6.5 Overall (with no individual component below 6.0) or Swansea University recognised equivalent. Full details of our English Language policy, including certificate time validity, can be found here. If you have any questions regarding your academic or fee eligibility based on the above, please email pgrscholarships@swansea.ac.uk with the web-link to the scholarship(s) you are interested in.
Please note that the programme requires some applicants to hold ATAS clearance; further details on ATAS scheme eligibility are available on the UK Government website.
ATAS clearance IS NOT required to be held as part of the scholarship application process. Successful award winners (as appropriate) are provided with details as to how to apply for ATAS clearance in tandem with a scholarship course offer.
Funding
This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (currently £19,237 for 2024/25).
Additional attending conferences expenses of up to £1,000 per year will also be available.
EPSRC DTP studentships are available to home and international students. Up to 30% of our cohort can comprise international students, once the limit has been reached, we are unable to make offers to international students.
To apply, please complete your application online with the following information:
Computer Science / PhD / Full-time / 3 years / October
In the event you have already applied for the above programme previously, the application system may issue a warning notice and prevent application, in this event, please email pgrscholarships@swansea.ac.uk where staff will be happy to assist you in submitting your application.
*It is the responsibility of the applicant to list the above information accurately when applying, please note that applications received without the above information listed will not be considered for the scholarship award.
One application is required per individual Swansea University led research scholarship award; applications cannot be considered listing multiple Swansea University led research scholarship awards.
NOTE: Applicants for PhD/EngD/ProfD/EdD - to support our commitment to providing an environment free of discrimination and celebrating diversity at Swansea University you are required to complete an Equality, Diversity and Inclusion (EDI) Monitoring Form in addition to your programme application form.
Equality, Diversity and Inclusion (EDI) Monitoring Form (online form)
Please note that completion of the EDI Monitoring Form is mandatory; your application may not progress if this information is not submitted.
As part of your online application, you MUST upload the following documents (please do not send these via email):
Informal enquiries are welcome; please contact Dr Lu Zhang lu.zhang@swansea.ac.uk
*External Partner Application Data Sharing – Please note that as part of the scholarship application selection process, application data sharing may occur with external partners outside of the University, when joint/co- funding of a scholarship project is applicable.
EPSRC DTP studentships are available to home and international students. Up to 30% of our cohort can comprise international students, once the limit has been reached, we are unable to make offers to international students.
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