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Research Associate in High Dimensional Problem Solving

Apply now Job no: 509193
Work type: Part time
Location: Canberra, ACT
Categories: Post Doctoral Research Associate

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. 
  • 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 high dimensional optimisation problems. The successful applicant will pursue algorithm design, and experimentation and testing using benchmark and practical problems.

Role:                       Research Associate in High Dimensional Problem Solving
Salary:                    Academic Level A $99,325 - $106,237 plus 17% Superannuation      
Term:                     Part time, 20hrs (0.57 FTE), Fixed Term appointment up to 2 years

Our ideal candidate:

To be successful in this role you will:      

  • Hold a Ph.D. degree or equivalent in Computer Science or a closely related discipline;
  • Experience in evolutionary computation and constrained 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.

How to apply:

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.

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 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:
Ruhul Sarker, Professor
E:  r.sarker@adfa.edu.au
P: +61 2 5114 5203

Applications Close: 20 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 unswcanberra.recruitment@adfa.edu.au

Position Description

Advertised: AUS Eastern Standard Time
Applications close: AUS Eastern Standard Time

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