Research Assistant – Computer Vision, Image Understanding (CVIU) | WP-367

Research Assistant – Computer Vision, Image Understanding (CVIU) | WP-367

16 Aug
University of New South Wales

16 Aug

University of New South Wales


Sydney NSW


$87,033 - $92,843 a year

Job no: 497498
Work type: Fixed term / Full time
Location: Sydney, NSW
Categories: Post doctoral research fellow

Research Assistant – Computer Vision, Image Understanding (CVIU)

Research Assistant on an industry supported project, involves image processing, computer vision, machine learning

The Opportunity

You will work on an industry supported project which aims to develop new techniques and tools for detection, recognition and quantification of mites and bedbugs in images.

The role of the Research Assistant reports to Professor Arcot Sowmya and has no direct reports.

- Salary: $87,033 - $92,843 + superannuation
- Full time (35 hours)

- Fixed-term contract – 1 years (potential for extension)
- Location: Kensington – Sydney, Australia

About UNSW

UNSW is currently implementing a ten-year strategy to 2025 and our ambition for the next decade is nothing less than to establish UNSW as Australia’s global university. This position is within the School of Computer Science and Engineering

Position Description - Research Assistant (497498).pdf

Selection Criteria

About the successful applicant:

- Degree in Computer Engineering, Software Engineering or a related discipline, with subsequent relevant experience and/or an equivalent level of knowledge gained through any combination of education, training and/or experience
- Experience in the areas of image processing, computer vision and/or machine learning
- Experience with image analysis, software development and evaluation
- Good interpersonal and communication skills
- Able to work in a team, collaborate across disciplines and build effective relationships
- You understand Equity and Diversity principles
- Knowledge of health and safety responsibilities
- Prior project management experience is desirable

Additional details about the specific responsibilities for this role can be found in the attached position description below.

- Within your application you should address the selection criteria which are listed within the position description.

Please apply online. Applications will not be accepted if sent to the contact listed below.


Penny Spencer

E: [email protected]

T: +61 2 9385 2459

Applications close: 11:50pm, Sunday 1st September 2019

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. We encourage everyone who meets the selection criteria to apply.

Position Description

Advertised: 16 Aug 2019 AUS Eastern Standard Time
Applications close: 01 Sep 2019 AUS Eastern Standard Time

The original job offer can be found in Kit Job:

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