At a Glance
- Tasks: Research Generative AI for Cyber Security Response and develop innovative applications.
- Company: City, University of London, in collaboration with British Telecom.
- Benefits: Tax-free stipend, tuition coverage, conference budget, and teaching opportunities.
- Other info: 4-year studentship with excellent research and career development opportunities.
- Why this job: Make a real impact in cybersecurity while working closely with industry leaders.
- Qualifications: Postgraduate degree in Computer Science or related field; programming skills required.
The predicted salary is between 20622 - 29000 £ per year.
This ICASE EPSRC PhD studentship will involve research on Generative AI for Cyber Security Response. It will involve investigating the use of generative AI models to synthesize data for use in developing cybersecurity AI-based applications. As a starting point of particular interest, it will look at the generation of realistic network topologies for use with an industry tool tailored to represent specific environments of interest. The project also aims at investigating the uses of generative AI in general for cybersecurity, beyond network topology creation. These include the generation of background network traffic, the generation of malicious cyber threat attack paths, the population of existing networks with potential vulnerabilities of interest, etc.
This is an opportunity to conduct research of high importance, with close involvement from industry (namely British Telecom (BT), who are partially funding this studentship) and to create strong research impact beyond academia.
Funding and Schedule
- Funding for: UK, EU, International students
- Funding amount: UK/Overseas tuition fees and tax-free stipend at current UKRI rate £20,622 plus BT sponsorship covers additional stipend up to £29,000 for UK students.
- Hours: Full Time
- Closes: 23rd April 2024
Studentship Details
- Duration: 4 years and will provide an annual stipend at current UKRI rate £20,622 per year and will cover the UK tuition fees.
- Sponsorship by BT will cover additional stipend amount up to £29,000 for UK students and for overseas students’ sponsorship will cover difference in overseas tuition fees for three years. Currently for academic year 2023/24 the difference is £12,740).
- In addition, there will be a generous budget (over £5k) for conference attendance.
- Each student may be able to earn around £2,200/year through teaching and demonstration work.
Eligibility and Requirements
- You should have a postgraduate degree (e.g. MSc, MA) in Computer Science, or a related discipline (e.g. CyberSecurity, Data Science, Artificial Intelligence, Machine Learning).
- You should demonstrate aptitude for original research.
- Ability to program capably in different languages and frameworks (from AI frameworks, to Linux-based commands).
- Ability to conduct independent research, including a critical assessment of their own and others’ research.
- AI algorithms including those for Natural Language Processing.
Desirable experience
- Understanding of cybersecurity concepts, especially penetration testing.
- Having published (or demonstrating the aptitude and enthusiasm to publish) high-quality papers in reputable peer-reviewed conferences and journals.
Equal Opportunity Statement
City, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors.
PhD Studentship: Generative AI for Cyber Security Response employer: City, University of London
City, University of London offers an exceptional environment for PhD students, particularly in the cutting-edge field of Generative AI for Cyber Security Response. With strong industry collaboration, notably with British Telecom, students benefit from generous funding, a supportive work culture that fosters innovation and research impact, and ample opportunities for professional growth through conference attendance and teaching roles. This is a unique chance to engage in meaningful research while being part of a diverse and inclusive academic community.
Contact Details:
City, University of London Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land PhD Studentship: Generative AI for Cyber Security Response
✨Tip Number 1
Network like a pro! Attend industry events, workshops, and conferences related to AI and cybersecurity. This is your chance to meet potential collaborators and mentors who can help you land that PhD studentship.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving generative AI or cybersecurity. This will give you an edge and demonstrate your hands-on experience to the selection committee.
✨Tip Number 3
Don’t be shy about reaching out! Contact current or past students of the programme to get insights and advice. They can provide valuable tips on how to make your application stand out.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always looking for passionate individuals ready to dive into groundbreaking research.
We think you need these skills to ace PhD Studentship: Generative AI for Cyber Security Response
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with the specifics of the PhD studentship. We want to see your passion for generative AI and cybersecurity shine through!
Showcase Your Research Skills:Since this role involves original research, be sure to emphasise any previous research experience you have. We love seeing examples of your critical thinking and problem-solving abilities in action!
Highlight Relevant Experience:If you've got programming skills or experience with AI frameworks, make it known! We’re looking for candidates who can hit the ground running, so don’t hold back on showcasing your technical prowess.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure we receive all your details correctly and gives you a chance to explore more about us and the exciting work we do!
How to prepare for a job interview at City, University of London
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of generative AI, especially in the context of cybersecurity. Be prepared to discuss how these models can be applied to synthesize data and create realistic network topologies. Having specific examples or case studies in mind will show your depth of understanding.
✨Showcase Your Research Skills
Since this role involves original research, be ready to talk about your previous research experiences. Highlight any projects where you conducted independent research or published papers. This will demonstrate your capability and enthusiasm for contributing to the field.
✨Demonstrate Programming Proficiency
You’ll need to prove your programming skills during the interview. Brush up on different languages and frameworks relevant to AI and cybersecurity. If possible, prepare to discuss specific coding challenges you've tackled or projects where you implemented AI algorithms.
✨Understand the Industry Context
Familiarise yourself with current trends in cybersecurity and how generative AI is being used. Knowing about British Telecom's involvement and their focus areas can give you an edge. It shows that you're not just interested in the academic side but also in real-world applications.
