Research Associate, Intelligent Systems Solutions, UNSW Canberra
Employment type: Fixed-term, full-time 35 hours per week
Duration: To end June 2026
Remuneration: Level A from $110,059 (with PhD) plus 17% superannuation
Location: UNSW Canberra, ADFA Campus
About UNSW Canberra
University of New South Wales (UNSW) in Canberra has multiple locations in the Nation’s Capital.
UNSW Canberra distinguishes itself from other institutions by its commitment to being thoughtful, practical, and purposeful in all endeavours. This combined approach is integral to the university's impact and contributes to its recognition as one of the top 20 universities globally, as well as a proud member of Australia's esteemed Group of Eight. Choosing a career at UNSW means embracing an environment where thriving, facing challenges, and engaging in meaningful work are not just encouraged but integral to the university experience. If you seek a career where you can excel and contribute meaningfully, you've found the right place.
At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.
Why Your Role Matters
The Intelligent Systems for State and Societal Resilience Hub (ISSSRH) is a team of digital technical experts, thematic (security-development) experts, and associated academics addressing the challenges of vulnerable states. The team works with local partners in high priority sectors within such societies – codesigning, building, and deploying technical platforms and solutions to increase their agency (ie collective impact of local change agents) through greater access to resources, information, and informed decision-making. The ISSSSRH is attached to the School of Systems & Computing. The Research Associate in AI, Machine Learning, Data Analytics or User Interaction works as a member of the Hub’s technical team to design, develop, and deliver Intelligent System solutions to local partners in high priority sectors. The Research Associate reports to the Hub’s Lead of Innovation and has no direct reports.
Who You Are (skills and experience):
- A PhD in a related discipline (AI, Machine Learning, Data Analytics, User Interaction), and/or relevant work experience.
- Proven commitment to proactively keeping up to date with discipline knowledge and developments.
- Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision.
- Capability to develop software solutions within the research field, independently or as part of a small team.
- Demonstrated track record of publications and conference presentations relative to opportunity.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
Benefits and Culture:
UNSW is committed to helping staff balance work-life responsibilities, by providing access to high-quality services, facilities, and flexible work and leave arrangements.
- Flexible working options (work from home, flexible hours etc)
- Additional three days leave during December festive period
- Career development opportunities
- Up to 50% discount on UNSW courses
- Flexible 17% superannuation contributions, additional leave-loading payments and salary sacrifice
- Free gym access
- UNSW-wide strategy to focus on Healthy Body, Healthy Mind, Healthy Places and Healthy Culture.
Eligibility:
The successful candidate will be required to undertake pre-employment checks prior to commencement in this role. The checks that will be undertaken are listed in the Position Description. You will not be required to provide any further documentation or information regarding the checks until directly requested by UNSW.
To be successful you will hold Australian Working Rights. UNSW is unable to offer visa sponsorship for this position.
The University reserves the right not to proceed with any appointment.
How to apply:
Make each day matter with a meaningful career at UNSW. Please apply via our online recruitment system.
In your application, please include:
- your CV
- a 2-page cover letter addressing the skills and experience outlined in the Position Description.
In order to view the position description, please ensure that you allow pop-ups for https://www.jobs.unsw.edu.au
Applications close: Tuesday 18 March 2025 at 11.30pm AEST
Get in Touch
For job-related queries – please contact Spike Barlow: michael.barlow@unsw.edu.au
Queries regarding applications - please contact: h.whale@unsw.edu.au
(for job related queries only – applications will not be accepted if sent to the contact listed)
Find out more about the lifestyle and benefits when working with UNSW
For further information about UNSW Canberra, please visit: UNSW Canberra
For further information on living in Canberra, please visit: Living in Canberra
UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.
