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- Tasks: Develop AI-driven tools for network topology reconstruction in a Defence-funded project.
- Company: Join UNSW, a leading university with a focus on innovation and research.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Other info: Fixed-term position until March 2027 with a dynamic research environment.
- Why this job: Make a real impact in enhancing situational awareness in complex environments.
- Qualifications: PhD (or soon to be awarded) in a relevant field and expertise in AI and networks.
The predicted salary is between 30000 - 40000 £ per year.
UNSW is seeking a Research Associate to work on a Defence-funded project focused on developing LLM-agent-driven tools for network topology reconstruction. This position requires a PhD (or soon to be awarded) in a relevant field, alongside expertise in computer networks and artificial intelligence. Candidates must hold Australian working rights or citizenship and will play a critical role in enhancing situational awareness in multi-vendor environments. This full-time role is fixed-term until March 2027.
AI‐Driven Network Defense Research Associate in Bristol employer: UNSW
Contact Detail:
UNSW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI‐Driven Network Defense Research Associate in Bristol
✨Tip Number 1
Network, network, network! Reach out to professionals in the field of AI and computer networks. Attend relevant events or webinars where you can meet potential colleagues or mentors who might help you land that dream role.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or presentation that highlights your previous work in AI and network defence. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses. Focus on articulating your research and how it relates to the job description, especially around LLM-agent-driven tools.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It’s a great way to ensure your application gets the attention it deserves and shows your enthusiasm for the role.
We think you need these skills to ace AI‐Driven Network Defense Research Associate in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in computer networks and artificial intelligence. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD work or any projects that relate to LLM-agent-driven tools.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this Defence-funded project and how your background makes you the perfect fit. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Research Skills: Since this is a research associate position, make sure to highlight any relevant research experience. Discuss your methodologies, findings, and how they can contribute to enhancing situational awareness in multi-vendor environments. We’re keen to see your analytical side!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at UNSW
✨Know Your Stuff
Make sure you brush up on your knowledge of computer networks and artificial intelligence. Be ready to discuss specific projects or research you've done in these areas, especially anything related to LLM-agent-driven tools. This will show that you're not just familiar with the concepts but can also apply them practically.
✨Showcase Your Research Skills
Prepare to talk about your PhD work and how it relates to the role. Highlight any experience you have with network topology reconstruction or similar projects. We recommend bringing along a portfolio or presentation that outlines your key findings and methodologies.
✨Understand the Defence Context
Since this role is Defence-funded, it's crucial to understand the implications of your work in a multi-vendor environment. Familiarise yourself with current trends and challenges in network defence. This will help you articulate how your skills can enhance situational awareness in such settings.
✨Be Ready for Technical Questions
Expect some technical questions during the interview. We suggest practising answers to common scenarios you might face in network defence. Think about how you would approach problem-solving in real-world situations, as this will demonstrate your critical thinking and analytical skills.