Project Manager – Transcription Acceleration

Applications need to be made online. See the position description and application at http://jobs.uq.edu.au/caw/en/job/499607/project-manager-transcription-acceleration

Closing date: 17th November 2016


Research Officer

Primary Purpose of Position(s)
We are looking for multiple software and technology professionals to join us in developing novel techniques for the automatic evaluation of communication dynamics in areas such as education, health, public discourse, and science communication.

The successful applicant(s) will work within our multidisciplinary inter-school team, focussing 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 the skills and interests of the applicant.

All work will be performed in close collaboration with Team Leaders, Professor Janet Wiles and Dr Daniel Angus, and the multidisciplinary project team, and is expected to perform high-quality technology development work in this team environment.

CoEDL projects requiring speech processing and software engineering skills. 

Speech processing is inherent in many of CoEDL’s projects, including:

  • extracting linguistic information (automatic speech recognition);
  • extracting paralinguistic information from speech, such as speaker and emotion recognition; ·
  • speech production including adding intonation to text-to-speech.

These tasks are part of - 

  • 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).

Applications need to be made online. See the position description and application at http://jobs.uq.edu.au/caw/en/job/499644/research-officer

Closing date: 18th November 2016