Senior Research Associate in Computational Intelligence
Employment type: Full-time, 35 hours per week. Fixed-term contract
Duration: 18 months
Remuneration: Level B from $ 123,620 per annum plus 17% super
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
You will join a high-performing interdisciplinary team with clear aims to break new scientific ground at the interface of artificial intelligence, ethics and autonomous military systems. Delivering on an externally funded project you will use the skills identified in your position description to achieve clear goals, while negotiating the interface of your contribution with other team members. You may have the opportunity to attend benchmarking events in the US and will work closely with the team at UNSW and a team at Arizona State University. You will grow new skills, practice working in high-performing teams that include computer scientists and legal and ethical scholars, and use a mix of your imagination, creativity and technical skills to break new grounds and reach over-the-horizon impact. You will be a highly trusted individual and will sign on a confidentiality agreement. If the words achievement, breakthrough, challenge, confidentiality, self-derive, impact, interdisciplinarity and quality align with your values and goals, this is the role for you.
Who You Are (skills and experience):
- A PhD in computational intelligence, machine learning or a related discipline, and/or relevant work experience.
- Demonstrated hands-on experience in working with efficient search methods (such as Bayesian Optimisation, Monte Carlo Tree Search, Multi-objective Evolutionary Search, Surrogate Methods) for very large scale and computationally expensive problems with highly rugged landscapes.
- Proven commitment to proactively keeping up to date with discipline knowledge and developments.
- Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
- High level communication skills and ability to network effectively and interact with a diverse range of students and staff.
- 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.
- An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
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.
The successful candidate will be required to work from the UNSW Canberra campus. To be successful in this role it is imperative that you hold Australian Citizenship.
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: 4 March 2025 at 11.30pm AEST
Get in Touch
To discuss the position please contact: h.abbass@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.
