Research Associate in Optimization University of New South Wales, School of Engineering and Information Technology Australia

Research Associate in Optimization

 

Job no: 496559


Work type: Fixed term / Full time


Location: Canberra, ACT


Categories: Post doctoral research fellow


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
  • Australian bush land setting with FREE parking
  • FREE Onsite GYM, pool and Indoor Sports Centre
  • A strong commitment to staff development and learning
  • A strong commitment to work life and family balance
  • Generous superannuation and salary packaging opportunities
  • Location: Canberra, Australia

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work

 

This role will be situated within the School of Engineering and Information Technology (SEIT). The engineering disciplines have close research collaborations promoting multidisciplinary research opportunities. Over recent years SEIT has produced more than 400 high impact research publications each year and continues to perform exceptionally in terms of research outputs and grant funding obtained through competitive funding opportunities as offered by the Australian Research Council, Industry partners and Defence, in addition to generous internal support provided by UNSW Canberra.

 

About the role

  • Level A: $93,578 to 100,090 pa (+17% super and leave loading)
  • Fixed term – Initial 24 months with a possible extension of up to 12 months starting ASAP
  • Full-time

 

UNSW Canberra has an exciting opportunity for a Research Associates in Optimization. You will be a key member of the research team on the Australian Research Council Discovery Project, “A Novel and Efficient Approach for Optimization involving Iterative Solvers”. Your research will focus on the development of novel optimization algorithms to search for robust engineering designs considering multiple conflicting performance criteria. You will also have an opportunity to undertake teaching and supervise students research.

 

With the support of the Chief Investigator and research team you will develop your research to be published in peer reviewed journals. You will also be required to travel to attend meetings related to your research both nationally and internationally as well as present your research findings at national and/or international conferences when required.

 

About the successful applicant

To be successful in this role you will need to have:

  • A PhD in Computer Science, Engineering or related discipline  
  • Excellent programming, analytical, and communication (oral and academic writing) skills.  
  • A demonstrated track record in the field of evolutionary computation and/or design optimization; evidenced through high impact journal/conference publications in these research areas.

Download File Research Associate in Optimization (496559) - Position Description.pdf

How to apply: If you want to continue your research in novel optimization algorithms in a collaborative and supportive environment please submit your CV, cover letter and responses to the selection criteria

 

Contact:

Eugene Aves, Talent Acquisition Consultant

E: eugene.aves@unsw.edu.au

T: (+61 2) 9385 3475

 

Professor Tapabrata Ray

E: t.ray@adfa.edu.au

T: (+61 2) 6268 8248

 

Applications close: 11:30 pm (AEST), Thursday 2nd May 2019

 

 

Find out more about working at UNSW Canberra

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            UNSW is an equal opportunity employer committed to diversity

       Any questions about the application process - please contact Eugene Aves or email unswcanberra.recruitment@adfa.edu.au

 

Position Description

Advertised: 03 Apr 2019 AUS Eastern Daylight Time
Applications close: 02 May 2019 AUS Eastern Standard Time


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