Research Associate in Evolutionary Computation

UNSW Canberra is a campus of the University of New South Wales located at the Australian Defence Force Academy in Canberra. UNSW Canberra endeavours to offer staff a rewarding experience and offers many opportunities and attractive benefits, including:

One of Australia’s leading research and teaching universities
Strong commitment to staff development and learning
Strong commitment to work-life and family balance
Generous superannuation opportunities
At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.

The School of Engineering and Information Technology (SEIT) offers a flexible, friendly working environment that is well-resourced and delivers research-informed education as part of its accredited, globally recognised engineering and computing degrees to its undergraduate students. 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.

As a key member of the research team on the ARC Discovery Project Evolutionary computation for expensive bilevel multiobjective problems, the Research Associate will conduct fundamental research into modelling, solving, benchmarking and analyzing the problems involving hierarchical and conflicting performance objectives.

About the Role:

Role:                    Research Associate in Evolutionary Computation/Design Optimization
Salary:                 Academic Level A $99,325 – $106,237 plus 17% Superannuation

Term:                   Full-time, Fixed Term appointment for 2 years

About the Successful Applicants

To be successful in this role you will need:

A PhD degree in the field of Computer Science, Engineering, or related discipline.
A demonstrated ability to conduct internationally competitive research in the field of evolutionary computation/computational intelligence/design optimization, evidenced through publications in prominent journals/conferences or other novel outputs.
Analytical skills and understanding of relevant mathematical and computational tools and techniques for in-depth investigation of research problems.
A demonstrated ability to think about challenging research problems independently, systematically, and critically, and pursue novel approaches to address them.
Excellent programming skills in at least one of the key platforms MATLAB/Python/C/C++ etc. Ability to effectively adapt to other platforms where necessitated by research scope (e.g. benchmarking with other existing codes).
Excellent communication and technical writing skills appropriate for high-quality research outcomes including academic publications, presentations, and effective collaboration with the researchers internal and external to UNSW.
In your application, please upload a 2-page pitch 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 Jobs@UNSW Portal.

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 position is located in Canberra, ACT. 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. Visa sponsorship is not available for this appointment.

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

Contact:
Hemant Singh, Senior Lecturer
E:  [email protected]

Applications Close: 31 July 2022, 11:30PM AEST

Find out more about working at UNSW Canberra

UNSW aspires to be the exemplar Australian university and employer of choice for people from diverse backgrounds. UNSW aims to ensure equality in recruitment, development, retention and promotion of staff and that no-one is disadvantaged on the basis of their gender, cultural background, disability, sexual orientation or identity or Indigenous heritage. We encourage everyone who meets the selection criteria to apply.

UNSW partners with Australia’s leading diversity organisations, networks, and campaigns. Please refer to UNSW’s diversity offerings for further information on our flexible work and leave options.

Any questions about the application process – please email [email protected]
Position Description

Advertised: 01 Jul 2022 AUS Eastern Standard Time
Applications close: 31 Jul 2022 AUS Eastern Standard Time