At a Glance
- Tasks: Join a Defence-funded project to develop innovative LLM-agent-driven tools for crisis management.
- Company: UNSW, a leading university fostering a diverse and inclusive community.
- Benefits: Competitive salary, superannuation, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on equity and inclusion.
- Why this job: Make a real impact in crisis situations while collaborating with top researchers.
- Qualifications: PhD in computer science or related field with experience in AI and networking.
The predicted salary is between 91381 - 121838 £ per year.
Opportunity: The Research Associate will work on a Defence‑funded project to develop LLM‑agent‑driven tools that reconstruct network topology, services, and administrator intent from partial information during crises, enabling rapid situational awareness across diverse, multi‑vendor environments. The project is conducted in collaboration with colleagues from the University of Sydney.
Salary: Level A – $91,381 – $121,838 per annum + 17% superannuation
Employment type: Full Time
Contract duration: Fixed‑term to March 2027
Location: Kensington, Sydney, Australia
Key Qualifications:
- PhD (or soon to be awarded) in computer science, electrical engineering, or related area with demonstrated experience in computer networks and artificial intelligence.
- Experience researching computer networking, network protocols, routing protocols, network management, and network performance measurement.
- Hands‑on experience with networking tools and simulators.
- Good understanding and experience with machine learning and Large Language Models (LLMs).
- Demonstrated ability to conduct independent research with limited supervision.
- Demonstrated track record of publications in top‑rated journals and conferences in the discipline.
- Demonstrated ability to work in a team, collaborate across disciplines, and build effective relationships.
- Strong interpersonal skills with demonstrated ability to communicate and interact with a diverse range of stakeholders, external clients and students.
- Ability to supervise undergraduate students or equivalent experience in the supervision of junior staff in related projects.
Application Eligibility:
Visa sponsorship is not available for this appointment. Applicants must hold Australian working rights or Australian citizenship. Eligible candidates are citizens of Australia, the Five Eyes Countries (New Zealand, Canada, the USA, and the UK) and NATO member countries.
Additional Information:
UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.
Research Associate – UNSW Defence-funded project in Bristol employer: UNSW
Contact Detail:
UNSW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate – UNSW Defence-funded project in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the field, especially those at UNSW or related institutions. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of LLMs and networking protocols. We recommend doing mock interviews with friends or colleagues to get comfortable discussing your research and experiences.
✨Tip Number 3
Showcase your publications and projects during interviews. Bring along a portfolio or a digital presentation that highlights your best work. This will help you stand out and demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at UNSW.
We think you need these skills to ace Research Associate – UNSW Defence-funded project in Bristol
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in computer networks and AI. We want to see how your skills align with the project goals, so don’t hold back on showcasing relevant projects or research!
Show Off Your Research Skills: Since this role involves independent research, be sure to mention any publications or projects you've worked on. We love seeing a strong track record, so let us know how you’ve contributed to the field!
Highlight Teamwork and Communication: This position requires collaboration across disciplines, so share examples of how you've successfully worked in teams. We value strong interpersonal skills, so don’t forget to mention your ability to communicate with diverse stakeholders.
Apply Through Our Website: We encourage you to submit your application through our website for a smoother process. It’s the best way to ensure your application gets into the right hands, so don’t miss out on this opportunity!
How to prepare for a job interview at UNSW
✨Know Your Stuff
Make sure you brush up on your knowledge of computer networks, network protocols, and artificial intelligence. Be ready to discuss your PhD research and any relevant publications. This will show that you’re not just a candidate but a passionate expert in your field.
✨Showcase Your Team Spirit
Since the role involves collaboration with colleagues from different disciplines, be prepared to share examples of how you've successfully worked in teams before. Highlight your interpersonal skills and how you’ve built effective relationships in past projects.
✨Prepare for Technical Questions
Expect some technical questions related to networking tools and machine learning. Practise explaining complex concepts in simple terms, as you may need to communicate with diverse stakeholders. This will demonstrate your ability to convey information clearly.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the project’s goals, the team dynamics, or how success is measured. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.