Data Scientist

Company:
Location: St Lucia QLD

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School of Information Technology and Electrical Engineering

It is an exciting time to get involved with the School of Information Technology and Electrical Engineering, located on UQ’s St Lucia campus. The School is ramping up its investment in teaching, research and engagement to create an inspiring, diverse and flexible workplace. The direction is backed by a bold, new strategic vision to ensure the School is at the forefront of meaningful research outcomes and pedagogy across its core impact areas of health, data, automation and energy. Boasting strong student enrolments in professionally accredited programs, combined with world-class researchers and facilities, the School is focused on strengthening its position in the global computer science and engineering communities. By attracting the brightest minds and fostering a truly innovative and collaborative work environment, the School will develop global solutions to contemporary issues and mentor the leaders of tomorrow. Details of the School may be accessed on its website at http://www.itee.uq.edu.au.

About This Opportunity

The Auslan Communication Technologies Pipeline project is working to develop new AI technologies for Auslan-based computer interfaces, and through this, support the development of gesture-based human-machine interaction, sign language and gesture recognition technologies

As the Data Scientist within the program you will assist in undertaking research in Auslan recognition, production and processing. Your will be involved in the collection, curation and coding of Auslan video data and assisting with the development of machine learning models for Auslan and sign component recognition, including the training of staff and students.

The successful applicant will have the opportunity to contribute to the processes that enables the team to manage research activities and co-author research papers ad will be required to foster relations with industry, government departments, professional bodies and the wider community.

This position is located at our picturesque St Lucia campus, renowned as one of Australia’s most attractive university campuses, and located just 7km from Brisbane’s city centre. Bounded by the Brisbane River on three sides, and with outstanding public transport connections, our 114-hectare site provides a beautiful work environment – you can enjoy the best of both worlds: a vibrant campus with the tradition of an established university.

Our Ideal Candidate

You should possess qualifications and training equivalent to an undergraduate degree in machine learning or related field and demonstrated expert knowledge in one or more of the following areas:

    • Machine learning model creation and training
    • Collection, curation and coding of machine learning data
    • 3D pose estimation from 2D video frames
    • Video/image processing approaches
    • GANs for video production
    • NLP

You will require excellent interpersonal skills with the ability to form effective relationships with diverse project stakeholders and with the broader project team.

Although not essential, experience in Familiarity with Auslan and the Australian Deaf Community is beneficial for this project.

We value diversity and inclusion, and actively encourage applications from those who bring diversity to the University. Our Diversity and Inclusion webpage contains further information if you require additional support. Accessibility requirements and/or adjustments can be directed to recruitment@uq.edu.au.

You must have unrestricted work rights in Australia for the duration of this appointment to apply. Visa sponsorship is not available for this appointment.

What We Can Offer

This is a full-time fixed term position at Hew level 7. The full-time equivalent base salary will be in the range $88,763 - $96,783 plus super of up to 17%.The total package will be in the range $103,852 - $113,236

You will be able to take advantage of UQ Sport Facilities, salary sacrificing options, on-campus childcare, discounted private health insurance, cheap parking, development programs and many other benefits.

For further information, please review The University of Queensland's Enterprise Bargaining Agreement 2018-2021.


Questions?

To discuss this role please contact Dr Jessica Korte at j.korte@uq.edu.au

*** Mention DataYoshi when applying ***

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