Research Associate, School of Mathematics and Statistics

Location
Sydney, Australia
Posted
30 May 2019
End of advertisement period
30 Jun 2019
Ref
497101
Contract Type
Fixed Term
Hours
Full Time
  • One of Australia’s 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 Mathematics and Statistics at UNSW is a leading research mathematics school in Australia and enjoys a strong international reputation. The Department of Applied Mathematics is one of the largest and most successful in Australia. In particular, UNSW has received the highest-ranking of 5 (well above world standard) on Applied Mathematics in the ARC Excellence in Research review of Australian University Research. The school is an active centre for fundamental research and has a particular strength in the area of optimisation (https://www.maths.unsw.edu.au/research/optimisation ).  

About the role

  • $76K - $102K plus 9.5% Superannuation and annual leave loading
  • Fixed Term – 12 months – with possibility of a further 12 months depending on funding.
  • Full time (35 hours)

The Research Associate will undertake collaborative and self-directed research on an Australian Research Council (ARC) funded Discovery Project.

The core of this project is to advance the area of nonconvex optimisation. These include but are not limited to, developing innovative fundamental theoretical tools and efficient numerical schemes for solving challenging nonconvex optimisation problems arises in the area such as engineering, computer science and signal processing. New applications to emerging areas such as data science and medical science is also a part of this project.

The role of Research Associate reports to Associate Professor Guoyin Li and has nil direct reports.

Specific responsibilities for this role include:

  • Conduct research in optimisation and its related computational methods.
  • Seek new applications to machine learning and data science.
  • Contribute to the writing of scientific papers and reports for international journals and progress reporting to other researchers and industry partners.
  • Contribute to the preparation of research proposal submissions to funding bodies and actively seek collaboration with industry partners as appropriate.
  • Perform research collaboratively and individually, which will lead to high quality research articles for publication in internationally refereed journals in mathematics or related disciplines.
  • Participate in and/or present results of research at conferences and other venues.
  • Coordinate research activities and participate in the setting of future research directions of the project.
  • Assist with the supervision of research students in the research area where required.
  • Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

About the successful applicant

To be successful in this role you will have:

  • PhD in Mathematics, or close to completion, in optimisation or related areas.
  • Demonstrated ability to conduct independent research with limited supervision.
  • Demonstrated high level skills in numerical computations.
  • Demonstrated capacity to deliver high quality project outcomes in a timely manner.
  • Demonstrated track record of research publications (relative to career opportunity).
  • Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
  • Demonstrated high level analytical and problem solving skills.
  • Excellent verbal and written communication skills.
  • Demonstrated ability to work independently and as part of a team with minimal supervision.
  • Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

You should systematically address the selection criteria listed within the position description in your application. For informal queries, please see the below contact details. 

Otherwise, please apply online - applications will not be accepted if sent directly to the contact listed.

Contact:
Guoyin Li
E: g.li@unssw.edu.au

Applications close: June 30th, 2019

Find out more about working at UNSW at www.unsw.edu.au

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, and support for carers (childcare, parent rooms, parental leave).

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