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ISCApad Archive  »  2014  »  ISCApad #194  »  Jobs  »  (2014-06-25) RESEARCH FACILITATOR IN SPEECH TECHNOLOGY - CLOUDCAST NETWORK, Univ. Sheffield, UK

ISCApad #194

Monday, August 04, 2014 by Chris Wellekens



Applications are invited for a position as Research Facilitator in the Speech and Hearing (SPandH) research group and the Centre for Assistive Technology and Connected Healthcare at Sheffield University to work on CloudCAST, a recently-awarded international network funded by the Leverhulme Trust and coordinated by Professor Phil Green. The vision of CloudCAST is

'.. to provide a way in which rapid developments in machine learning and speech technology can be placed in the hands of professionals who deal with speech problems: therapists, pathologists, teachers, assistive technology experts.. We intend to do this by creating a free-of-charge, remotely-located, internet-based resource 'in the cloud' which will provide a set of software tools for personalised speech recognition, diagnosis, interactive spoken language learning and the like. We will provide interfaces which make the tools easy to use for people who are not speech technology experts and create a self-sustaining CloudCAST community to manage future development.'

CloudCAST involves collaboration with

The Facilitator will be responsible for the software engineering required to build the CloudCAST resource. This involves taking algorithms and data which have been developed for research and knitting them into a form that

  •     is accessible to people who are not experts in speech technology,
  •     has a uniform look-and-feel,
  •     allows for amendments and additions,
  •     encourages others to contribute
  •     is available over the internet ('resides in the cloud').

The Facilitator may also become involved with pilot research studies using the resource, and will be responsible for organising and participating in an extensive series of visits between the 4 sites involved.

A good degree in Computer Science, Software Engineering, Mathematics or a closely-related subject. Is required for all applicants.  An appointment at Grade 7 will require a PhD. in speech technology or equivalent industrial experience. Applicants should have knowledge of speech technology and software engineering skills. The supporting documentation gives details. You can view the documentation by clicking on About the Job and About the University located near the top of your screen.

This is a full-time post, available now.

For supporting documentation and details of how to apply, visit

Informal enquiries to Professor Phil Green,

Closing Date: 30th June 2014.


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