At a Glance
- Tasks: Research Generative AI applications for Cyber Security, focusing on data synthesis and network topology generation.
- Company: City, University of London, in collaboration with British Telecom.
- Benefits: Generous stipend, tuition coverage, and budget for conferences.
- Other info: Full-time studentship with excellent research opportunities and potential for publication.
- Why this job: Make a real impact in cybersecurity while collaborating 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 in London 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 conferences 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 in London
✨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 or employers face-to-face, so don’t be shy – introduce yourself and share your passion for generative AI!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to generative AI and cybersecurity. Whether it’s a GitHub repository or a personal website, having tangible examples of your work can really impress potential supervisors or employers.
✨Tip Number 3
Don’t just apply – engage! When you find a PhD studentship that excites you, reach out to the faculty or current students involved in the project. Ask questions, express your enthusiasm, and show that you’re genuinely interested in contributing to their research.
✨Tip Number 4
Keep an eye on our website! We regularly post opportunities that align with your interests in AI and cybersecurity. Applying through our platform not only streamlines the process but also keeps you updated on the latest openings and events in the field.
We think you need these skills to ace PhD Studentship: Generative AI for Cyber Security Response in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with the PhD studentship. We want to see your passion for generative AI and cybersecurity, so don’t hold back on showcasing relevant projects or research!
Show Off Your Research Skills:Since this role involves original research, it’s crucial to demonstrate your ability to conduct independent research. We recommend including examples of past research work or any publications you’ve contributed to, as this will really make your application stand out.
Highlight Technical Proficiency:We’re looking for candidates who can program in various languages and frameworks. Be sure to mention your technical skills clearly, especially if you have experience with AI algorithms or Linux commands. This is your chance to shine!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your details correctly. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at City, University of London
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest trends and applications of generative AI, especially in cybersecurity. Be ready to discuss how these technologies can be applied to real-world scenarios, like generating network topologies or simulating cyber threats.
✨Showcase Your Research Skills
Prepare to talk about your previous research experiences and how they relate to this studentship. Highlight any original research you've conducted, particularly in AI or cybersecurity, and be ready to discuss your critical assessment skills.
✨Demonstrate Programming Proficiency
Since programming is key for this role, be prepared to discuss your experience with various programming languages and frameworks. Bring examples of projects where you've used these skills, especially in AI frameworks or Linux commands.
✨Engage with Industry Insights
Since this studentship involves collaboration with British Telecom, do some homework on their current projects and challenges in cybersecurity. Showing that you understand their needs and how your research could impact their work will set you apart.
