Research Associate in Civil and Environmental Engineering

Randwick, Australia
14 Jul 2017
End of advertisement period
01 Sep 2017
Contract Type
Fixed Term
Full Time
  • One of Australia‚Äôs leading research & teaching universities
  • Vibrant campus life with a strong sense of community & inclusion
  • Enjoy a career that makes a difference by collaborating & learning from the best

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

The School of Civil & Environmental Engineering / Research Centre of Integrated Transport Innovation

The School of Civil and Environmental Engineering is the largest School in the Faculty of Engineering, with approximately 2600 student enrollments and a budget of over $20 million. The School has 48 full time academic staff, 27 professional staff and technical staff and 75 research only appointments. The School mission is to develop well-educated graduates with the essential skills, attributes and knowledge that will enable them to practice as professional civil or environmental engineers; and to conduct research and development of international distinction to meet the needs of the discipline, industry and society.

For more information visit:

The Research Centre of Integrated Transport Innovation (rCITI) is located within the School of Civil and Environmental Engineering. The Centre represents a strategic effort with research, government and industry partners that unites and substantially augments the wide range of interdisciplinary research across campus.

About the role

  • $72K - $96K per year plus 9.5% superannuation and leave loading
  • Fixed Term 12 Months
  • Full-time  

The Research Centre of Integrated Transport Innovation (rCITI) is seeking a Research Associate who will contribute to initiating and undertaking epidemiological related research in the School of Civil and Environmental Engineering. The applicant will also have the opportunity to collaborate with the Distributed Sensing Systems Group in CSIRO (additional project information available here).

About the successful applicant

To be successful in this role you will have:

  • a PhD in engineering or a related discipline (though candidates who have recently submitted or are about to submit their doctoral thesis may be considered in exceptional cases);
  • expertise in one or more of the following areas: machine learning, statistical modelling, network modelling, data visualization, and ecological modelling.
  • knowledge of network science principles for representing real-world interactions in graph-theoretic terms

Previous experience working on epidemiological applications is highly desired; applicants with experience in modelling vector-borne diseases will be prioritized

You should systematically address the selection criteria listed within the position description in your application. Please apply online - applications will not be accepted if sent directly to the contact listed.


Dr Lauren Gardner, Senior Lecturer


Applications close: 1 September 2017

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