Research Fellow, Department of Computer Science and Software Engineering, working with UNIVERSITY OF WESTERN AUSTRALIA

School of Physics, Mathematics and Computer Science

  • Fundamental research with the possibility of co-supervising doctoral students
  • Full-time 3-year CDD
  • Salary scale: Level B $105,043 – $112,748 pa (prorated) plus 17% superannuation

The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of Australia’s prestigious group of eight research-intensive universities. With an enviable research experience, vibrant campus and work environments, backed by the freedom to “innovate and inspire”, there’s no better time to join Western Australia’s top university.

About the team

The Department of Computer Science and Software Engineering in the School of Physics, Mathematics, and Computer Science is renowned for its award-winning researchers, teachers, and facilities. The extensive undergraduate and postgraduate programs are complemented by a wide range of research activities and the School is a leader in developing graduates with high-level expertise in computer programming and the methods involved in computer science. performing complex calculations and processing data. In the resource-rich state of Western Australia, opportunities for partnership and collaborative research are plentiful and the school has well-established links with industry.

About the Opportunity

This role offers you the opportunity to work with a team of renowned computer vision scientists, including Professor Richard Hartley (ANU), Professor Ajmal Mian (UWA) and Dr Naveed Akhtar (UWA). The research project will focus on the development of techniques and algorithms to secure computer vision deep learning models against adversarial attacks, Trojan horses and backdoor attacks. It should provide a new perspective on the composition of adversarial examples and the usefulness of explainable AI in the context of adversarial manipulation of deep learning models.

In addition to directing blue sky research, you will co-supervise PhD students and conduct your independent research towards project goals. Focusing on the core issues of adversarial deep learning, the research results of the project are expected to be published in top sites, for example, CVPR, ICCV, ICLR, NeurIPS and AAAI.

About you

An ideal candidate will have the following background

  • PhD in computer vision, machine learning, or closely related field
  • A record of high-quality research in computer vision
  • First author publications in major sources in the field, e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, TPAMI, IJCV, etc.
  • Experience with deep learning frameworks, eg, Pytorch, Tensorflow
  • Desire to develop a top research profile with top quality results
  • Prior experience with adversarial deep learning and PhD co-supervision is highly desirable

Full details of position responsibilities and selection criteria are described in the position description. Please review the job description before applying.

You must meet the selection criteria in your submission in a separate document. For information to help you compile statements to meet the selection criteria, please see Meeting the Selection Criteria

Closing Date: 11:55 p.m. AWST, Sunday, November 13, 2022

This position is only open to candidates who are Australian citizens or Australian permanent residents.

Application Details: Please apply online via the Apply Now button.

Our commitment to inclusion and diversity

UWA is committed to a diverse workforce and a fair and inclusive workplace. We celebrate difference and believe that diversity is fundamental to achieving our goals as a globally recognized educational and research institution. We are committed to creating a safe working environment for Aboriginal and Torres Strait Islander people, women, people from diverse cultural and linguistic backgrounds, the LGBTIQA+ community and people living with disabilities.

  • We have a globally competitive, gender-neutral parental leave policy with 26 weeks of paid leave after 12 months of service and 36 weeks after 5 years.
  • We have on-campus childcare facilities for children ages 6 weeks through kindergarten.
  • We facilitate flexible working, with part-time and job-sharing arrangements considered.
  • We have an ongoing partnership with Pride in Diversity and recently received Bronze Employer Status for LGBTIQA+ Inclusion.
  • We have Athena SWAN Bronze accreditation and are actively working to improve gender equity.

If you have any questions regarding your application, please contact the person named in the advertisement. You can also contact the Talent team at [email protected] with details of your query. To allow for a quick response, please include the 6 digit job reference number and a member of the team will respond to your enquiry.

Gordon K. Morehouse