Research Associate In Large-scale Evolutionary Optimisation

Research Associate in Large-scale Evolutionary Optimisation

Job no: 514592
Work type: full time
Location: Canberra, ACT
Categories: Post Doctoral Research Associate

University of New South Wales (UNSW) in Canberra is a campus of UNSW located at the Australian Defence Force Academy in Canberra. UNSW is not like other places you have worked, we are driven to be thoughtful, practical, and purposeful in all we do. Taking this combined approach is what makes our work matter. It is the reason we are one of the top 50 universities in the world and a member of Australia’s prestigious Group of Eight. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place. 

The School of Engineering and Information Technology (SEIT) offers:

A flexible, friendly working environment that is well-resourced. 

A chance to deliver research-informed education to undergraduate and graduate students and professionals who will be Australia’s future technology decision makers. 

An opportunity to be part of a school that’s engineering and computing education programs are accredited and globally recognised.

We strongly encourage Women, First Nations and culturally and linguistically diverse candidates to apply. We are committed to providing career progression and support to women in academia.

The School offers programs in electrical, mechanical, aeronautical, and civil engineering as well as in aviation, information technology and cyber security to graduates and professionals who will be Australia’s future technology decision makers.

About the Role:

This research position will develop evolutionary algorithms-based approaches for solving large-scale optimisation problems. The successful applicant will pursue algorithm design, and experimentation and testing using benchmark and practical problems.

Role:  Research Associate in Large-scale Evolutionary Optimisation
Salary:  Academic Level A $100,318 – $107,299 plus 17% Superannuation
Term:  Full time (1.00 FTE), Fixed Term appointment for up to 1 year

Our Ideal Candidate:

To be successful in this role you will:

Hold a Ph.D. degree (or near completion) or equivalent in Computer Science or a closely related discipline;

Experience in evolutionary computation and optimisation and their integration;

A demonstrated ability to design and development of evolutionary algorithms for solving optimisation problems;

A record of papers in high quality journals and/or conferences of high ranking in the field;

Excellent interpersonal, oral and written communication skills appropriate for interacting effectively team members, collaborators and colleagues;

Demonstrated ability to work as a member of a multi-disciplinary team showing initiative and taking direction as appropriate to the situation.

Benefits:  

Generous superannuation contributions 

Flexible work and leave arrangements 

Employee discounts

A commitment to life long learning

UNSW-wide strategy to focus on Healthy Body, Heathy 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 you will hold Australian Working Rights or Australian Citizenship. UNSW is unable to offer visa sponsorship for this position.

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

How to apply:  

Applications Close:  2 April, 2023, 11:30pm AEDT 

Contact:   
Ruhul Sarker, Professor
E:

P: +61 2 5114 5203

Any questions about the application process – please email

For further information about UNSW Canberra, please visit our website:

Find out more about the lifestyle and benefits when working with   

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 staff. 

Advertised: 14 Mar 2023 AUS Eastern Daylight Time
Applications close: 02 Apr 2023 AUS Eastern Standard Time

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