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Application deadline:
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Job no: 496897
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
About the role
· Research Associate Level A: $95,449 to $102,091 pa (+17% super and leave loading)
· Fixed term – 24 months starting ASAP
· Full-time
UNSW Canberra has an exciting opportunity for a Research Associate in Quantum System Identification. You will be a key member of the research team on the Australian Research Council Discovery Project “Efficient and high-precision system identification in quantum cybernetics”. Your research will focus on the development of novel efficient algorithms and approaches for high-precision quantum system identification. You will also have an opportunity to undertake teaching and supervise students research.
With the support of senior academics and the 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 (or PhD thesis submission by 1 May 2019) in Electrical Engineering or an are related to quantum information, control and system identification.
· Demonstrated ability to conduct research in Quantum System Identification with limited supervision.
· A demonstrated track record of publications and conference presentations relative to opportunity.
How to apply: If you want to continue your research in novel efficient 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
T: (+61 2) 9385 3475
Associate Professor Daoyi Dong
T: +61 2 6268 6285
Applications close: 11:30 pm (AEST), Sunday 21st July 2019