Research Associate in Manufacturing Engineering

Company Details

World-class research & teaching excellence

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.

This research position will work closely with the industry partner to apply machine learning approaches to monitor for spot weld quality. The successful applicant will undertake model development, validation, and assist with industrial in-process verification of the models.

To be successful in this role you will:

  • Hold a Ph.D. degree or equivalent in Engineering, Applied Mathematics, Machining Learning or related discipline;
  • Experience of working with large complex data sets in the context of applied research.
  • A demonstrated ability to apply machine learning techniques for model development of manufacturing systems or other similar physical systems;
  • A record of papers in high quality journals and/or conferences of high ranking in the field;
  • Experience working with industrial partners will be highly desirable;
  • Demonstrated ability to work as a member of a multi-disciplinary distributed team showing initiative and taking direction as appropriate to the situation.

Tagged as: applied mathematics, manufacturing systems, applied research

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