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• Enjoy a supportive and inclusive work environment that values diversity and innovation
• Fixed Term contract 12 months - Level B

In partnership with industry, University of Adelaide (UoA) and UNSW, the Defence Trailblazer is strengthening Australia’s defence sovereign capabilities through the commercialisation of new technologies and solutions, coupled with the development of specialised knowledge and skills for the current and future workforce to meet the needs of defence. 

Why your role is important 

As the Senior Research Associate you will carry out research activity in a multidisciplinary setting, for the development of innovative approaches to maximize the utility of visual sensor data through the use of embedded and real-time artificial intelligence algorithms.

Benefits and Culture: 

People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world.  Our benefits include: 

• Flexible/Hybrid working
• Career development opportunities 
• 17% Superannuation contributions and additional leave loading payments 
• Additional 3 days of leave over Christmas period 
• Discounts and entitlements (retail, education, fitness) 

Skills and Experience Required

Ideally you will have extensive experience in machine learning, AI and computer vision. You will also need:

• A PhD in a related discipline, and/or relevant work experience.
• Proven commitment to proactively keeping up to date with discipline knowledge and developments.
• Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
• A track record of significant involvement with the profession and/or industry.
• High level communication skills and ability to network effectively and interact with a diverse range of students and staff.
• Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
• Evidence of highly developed interpersonal and organisational skills.
• Deep understanding of up-to-date research in machine learning and artificial intelligence.
• Knowledge of modern programming languages (C/C++, Python) preferred but not essential.
• Experience with open-source AI tools and resources – HuggingFace, OpenCV, Keras, PyTorch, TensorFlow, scikit-learn.
• Familiarity with the limitations and constraints of operating in an embedded sensing environment.

To apply:  Please submit your CV, Cover Letter and responses to Skills and Experience required in the Position Description via the APPLY button.

Pre-employment checks required for these positions

• Verification of qualifications
• Criminal History Check
• Identification Check
• Australian Work Rights Check

Note: Visa sponsorship is not available for these appointments. The successful candidates may be required to hold or attain an Australian government security clearance.

Contact:  Kim Symons - Talent Acquisition Consultant

e: k.symons@unsw.edu.au

Applications close: 11.55pm, Monday 21st April 

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.

The University reserves the right not to proceed with any appointment.