Where

Postdoctoral Research Associate | Level A

University Of Technology Sydney
Dubbo Full-day Full-time

Description:

University of Technology Sydney (UTS) is located in the heart of Sydney’s creative and digital precinct. With state-of-the-art campuses and facilities, we’re preparing students to become global thinkers, leaders and innovators.

About the Centre

The Global Big Data Technologies Centre (GBDTC) in the Faculty of Engineering and IT is an international centre of excellence for the development of enabling technologies for big data science and analytics, working closely with industry and communities to deliver real-world impact.

About the role

Funded by ARC Linkage Project (LP), this position for a Postdoctoral Research Associate is pivotal in advancing the development of AI-based algorithms aimed for estimating concrete workability. This ARC LP strengthens FEIT’s collaboration with the concrete industry, synergising with FEIT's extensive involvement in the Smartcrete CRC. The postdoc has the potential to become an academic staff member within FEIT, thereby significantly making contributions to cross-disciplinary research collaboration between GBDTC, the School of Electrical and Data Engineering, and the School of Civil and Environmental Engineering, particularly for future large-scale industry projects.

About you

As a Postdoctoral Research Associate , you will have demonstrated track record of significant research and achievements. You will have strong expertise in image processing, computer vision and pattern recognition for practical problem-solving, as well as sophisticated oral and written communication skills.

To be successful in this role you will also have:

  • Doctoral qualifications in the field of computer vision, image processing and pattern recognition
  • Prior research experience in the field of computer vision and pattern recognition
  • Strong track record of involvement in industry projects and, if applicable, patent filing.
  • Demonstrated history of peer-reviewed publications in high ranked journals and Conferences
  • Previous experience in developing algorithms and prototypes for video content analysis and multimedia mobile applications.
  • Proficiency in supervising and teaching graduate students at both PhD and honours levels

For the full list of selection criteria and role responsibilities, please download the Position Statement

Remuneration & Benefits

Base Salary Range: $89,818 to $109,393 pa (Level A)

This role attracts 17% superannuation (pension) in addition to the base salary.

This position is full-time and appointment will be made on a two -year fixed-term basis.

UTS staff also benefit from a wide range of Employee Benefits include flexible work practices, child care centres, generous parental leave and salary packaging opportunities.

How to apply

Please click the Apply link to be taken to the UTS website. Here you can download:
  • full details of the application process;
  • a copy of the position statement; and
  • information on remuneration, benefits, terms and conditions


Please ensure that the file name for each document submitted includes your name and IRC282184

General enquiries or issues with your application may be directed to Melissa Ali in the UTS Recruitment Team at recruitment@uts.edu.au.

Closing Date: Sunday 26 May 2024 at 11.59pm (AEST)

Applicants must have valid Australian work rights

Accessibility

UTS Recruitment care about digital accessibility. If there is any content in our advertising that you have struggled with, please make us aware so that we can make our information accessible to all.

In addition, if you have a disability that requires adjustment to the recruitment process or an alternative application pathway please contact recruitment@uts.edu.au for assistance.

UTS is recognised widely as supporting inclusivity and diversity through our Wingara Indigenous Employment Strategy, Social Impact Framework and UTS Access and Inclusion Plan

We welcome applications from women, Indigenous Australians, people with disability, those who identify as LGBTIQ and applicants from culturally and linguistically diverse backgrounds.

10 May 2024;   from: uworkin.com

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