Research Associate in Adaptive Evolutionary Optimisation

**Job no**: 530412
**Work type**: Full Time
**Location**: Canberra, ACT
**Categories**: Post Doctoral Research Associate

**Research Associate in Adaptive Evolutionary Optimisation, UNSW Canberra**

**Employment type**: Full-time 35 hours per week, fixed-term contract
**Duration**: 2 years
**Remuneration**: Level A from $110,059 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 Research Associate position is situated within the School of Systems and Computing. As a member of a research team, the Research Associate will undertake research as directed by the Team Leader / Chief Investigator (CI) Professor Ruhul Sarker. The position will involve research activity in multidisciplinary settings requiring skills in evolutionary computation, optimisation, algorithm design and programming. The Research Associate will contribute to the development of research results and their publication in international journals, participate at a national and/or international conference/s and undertakes a range of teaching duties. This reports to the Chief Investigator (CI) of the ARC DP’25 “Adaptive Evolutionary Framework for Electric Vehicles and Drones Logistics Systems”.

**Who You Are (skills and experience)**:

- A PhD (completed or near completion) in Computer Science, or a closely related discipline, with expertise in evolutionary computation and optimisation and their integration. Research experience on unmanned logistics systems will be an advantage.
- A demonstrated ability to conduct innovative and independent research.
- A record of papers in high quality journals and/or conferences of high ranking in the field.
- Ability to conduct high quality teaching in a university environment and willingness to undertake teaching duties as required.
- Excellent interpersonal, oral and written communication skills appropriate for interacting effectively team members, collaborators and colleagues across the faculty.
- Demonstrated ability to work as a member of a multi-disciplinary team showing initiative and taking direction as appropriate to the situation.
- Demonstrated ability to complete tasks within agreed time frames, with suitable supervision.
- Knowledge of health and safety responsibilities and the ability and capacity to implement required UNSW health and safety policies and procedures.

**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 University reserves the right not to proceed with any appointment.

**How to apply**:

- your CV
- a 2-page cover letter addressing the skills and experience outlined in the Position Description.

**Applications close**:Wednesday 19 March 2025 at 11.30pm AEST

**Get in Touch**

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._

Position Description

**Advertised**: 20 Feb 2025 AUS Eastern Daylight Time
**Applications close**: 19 Mar 2025 AUS Eastern Daylight Time