Senior Researcher in Speech Technology
Centre for Speech Technology Research
University of Edinburgh

The School of Informatics, University of Edinburgh invites applications for the post of Senior Researcher in Speech Technology on the EPSRC programme grant Natural Speech Technology (NST, http://www.natural-speech-technology.org/). NST is a collaboration between the Universities of Edinburgh, Cambridge, and Sheffield, whose objective is to significantly advance the state-of-the-art in speech technology by making it more natural, approaching human levels of reliability, adaptability and conversational richness.

You should have a PhD (or equivalent experience) in speech processing, computer science, linguistics, engineering, mathematics, or a related discipline. You must have a background in statistical modelling and machine learning, research experience in speech recognition and/or speech synthesis, excellent programming skills, and a strong publications record in international journals and conferences. In addition, experience of project development and project leadership in a research context, together with excellent communication, presentation, and organisational skills are highly desirable.

You will be part of the Centre for Speech Technology Research (CSTR, http://www.cstr.ed.ac.uk), leading work on novel statistical modelling and machine learning for speech technology. We are interested in research on either large vocabulary conversational speech recognition, or on natural expressive speech synthesis. This will include design, implementation and evaluation of novel algorithms and models for speech recognition or speech synthesis, and testing of algorithms on 'real-world' data and tasks obtained from the NST user group. The work will involve close collaboration with other researchers across the three NST partners.

Fixed Term: 3 years
Closing date for applications: 10 April 2012

For further details and to apply: http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.detail&vacancy_ref=3015400