Research Officer School of Information Technology & Electrical Engineering

School of Information Technology & 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 in line with 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 ICT 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.

The ARC Centre for Excellence for the Dynamics of Language (CoEDL) is launching an ambitious series of interlinked projects, focusing on language as a dynamic and variable system, and drawing on the full diversity of the world's languages, through four programs focusing on the design space of language (Shape), how it is learned (Learning) and processed (Processing), and how linguistic structures evolve at various timescales (Evolution).

CoEDL projects requiring speech science, signal processing and software engineering skills include:

• the Transcription Acceleration Project (TAP), which aims to create an interactive pipeline to assist field linguists;

• the Florence project, which aims to develop assistive technology for people with dementia and their carers;

• the Discursis project which develops novel techniques for the automatic evaluation of communication dynamics;

• the OPAL project, which is developing a child-friendly robot.

Software engineering is involved in all the above projects, including:

• development of interactive interfaces for TAP and Florence;

• extension of Discursis metrics from text to speech;

• development of the cognitive architecture for OPAL based on Robot Operating System (ROS).

The role

The successful appointee/s will work within a multidisciplinary inter-school team, with a focus on the development of computational approaches that could include audio and speech processing; natural language processing; data fusion; machine learning; and information visualisation technologies, depending on your skills and interests.

The person

Applicants should possess a postgraduate qualification or equivalent industry experience in Computer Science, Software Engineering, Information Technology, or commensurate discipline with extensive experience in software/technology development.  In addition you will have expert knowledge in signal processing or software engineering.  Knowledge of key concepts which could include: natural language processing, artificial intelligence, information visualisation, computational linguistics, text analytics, signal processing is desirable.

The University of Queensland values diversity and inclusion.

Applications are particularly encouraged from Aboriginal and Torres Strait Islander peoples.

Remuneration

There are up to four positions available on a full-time, fixed term (1 year) basis at Academic Research Level A.  The remuneration package will be in the range $62,654 - $84.986 per annum, plus employer superannuation contributions of up to 17% (total package will be in the range $73,305 - $99,434 per annum).

Position Description

 499644_NEW_Research Officer.pdf

Enquiries

To discuss this role in relation to the Discursis project please contact Dr Daniel Angus on d.angus@uq.edu.au. To discuss the TAP, Florence and OPAL projects pleast contact Professor Janet Wiles on janetw@itee.uq.edu.au.

To submit an application for this role, use the Apply button below. All applicants must supply the following documents: Cover letter, Resume and Selection Criteria responses.

For information on completing the application process click here

Reference: 499644