Research Fellow, Computer Vision / Deep Learning

Department of Computer Science and Software Engineering

• Fundamental research with an opportunity to co-supervise PhD students 
• 3-year fixed term full time contract
• Salary range: Level B $105,043 - $112,748p.a.(pro rata) plus 17% superannuation 
• Position only open to Australian citizens or permanent residents

The University of Western Australia (UWA) is ranked amongst the top 100 universities in the world and a member of the prestigious Australian Group of Eight research-intensive universities. With an enviable research track record, vibrant campus and working environments, supported by the freedom to ‘innovate and inspire’ there is no better time to join Western Australia’s top University.

About the team

The Department of Computer Science and Software Engineering under the School of Physics, Mathematics and Computing is renowned for its award-winning researchers, teachers and facilities. The broad-based 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 performing complex computations and processing data. In the resource rich state of Western Australia the opportunities for partnership and collaborative research are extensive and the School has well established links with industry.  

About the opportunity

A unique opportunity to work with a team of renowned scientists in computer vision, including Prof. Richard Hartley (ANU), Prof. Ajmal Mian (UWA) and Dr. Naveed Akhtar (UWA).

The research project will focus on developing techniques and algorithms to secure computer vision deep learning models against adversarial attacks, Trojans and backdoor attacks. It is expected to provide a new perspective on the composition of adversarial examples and the utility of explainable AI in the context of adversarial manipulation of deep learning models.

In addition to leading the blue-sky research, you will co-supervise PhD students and conduct your independent research towards the project goals. Focusing on the fundamental problems in adversarial deep learning, the research outcomes for the project are expected to be published in the top-tier venues.

About you

An ideal candidate will have the following background

PhD in computer vision, machine learning or closely related field A track-record of high-quality research in computer vision or deep learning First-author publications in the leading sources of the field Experience with deep learning frameworks, e.g., Pytorch orTensorflow Desire to build prominent research profile Prior experience with adversarial deep learningis desirablebut not necessary Full details of the position's responsibilities and the selection criteria are outlined in the position description. Please see the position description prior to applying: PD 512706.pdf

You are required to address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Addressing the selection criteria

Closing date: Applications will remain open until the position is filled.

Applications received by Sunday, 5 March 2023 will be considered with higher priority.

Suitable applicants may be contacted for an interview prior to the close date. Please apply as soon as possible for consideration.

To learn more about this opportunity, please contact Ajmal Mian on (08) 6488 2702 or at [email protected]

This position is only open to applicants that 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 an equitable and inclusive workplace. We celebrate difference and believe diversity is fundamental to achieving our goals as a globally recognised Top 100 educational and research institution. We are committed to creating a safe work environment for Aboriginal and Torres Strait Islander people, women, people from culturally and linguistically diverse backgrounds, the LGBTIQA+ community and people living with disability.

• We have a globally competitive, gender neutral parental leave policy with 26 weeks paid leave after 12 months service and 36 weeks after 5 years.
• We have on-campus childcare facilities for childrenaged 6 weeks to kindy. 
• We facilitate flexible working, with part-time and job-sharing arrangements considered.
• We have an ongoing partnership with Pride in Diversity and were recently awarded a Bronze Employer status for LGBTIQA+ inclusion.
• We have Athena SWAN Bronze accreditation and actively work to improve gender equity.  

Should you have any queries relating to your application, please contact the individual named in the advertisement. Alternatively, contact the Talent team at [email protected] with details of your query. To enable a quick response, please include the 6-digit job reference number and a member of the team will respond to your enquiry.