[Elsnet-list] Senior Researcher in Speech Recognition, University of Edinburgh

Steve Renals s.renals at ed.ac.uk
Thu Sep 8 12:20:33 CEST 2011


Centre for Speech Technology Research, University of Edinburgh

The Centre for Speech Technology Research in the School of Informatics, University of Edinburgh invites applications for the post of Senior Researcher in Speech Recognition on the EPSRC programme grant Natural Speech Technology (NST). 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.

The successful candidate should have a PhD in speech processing, computer science, cognitive science, linguistics, engineering, mathematics, or a related discipline. They must have a background in statistical modelling and machine learning, research experience in speech recognition, 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.

The successful candidate will lead work on novel statistical modelling and machine learning for large vocabulary conversational speech recognition. This will include design, implementation and evaluation of novel algorithms and models for speech recognition, and testing of algorithms on real-world data obtained from the NST user group. The work will involve close collaboration with other researchers across the three NST partners.

Informal inquiries can be made by email to Prof Steve Renals (s.renals at ed.ac.uk) or Prof Simon King (Simon.King at ed.ac.uk)

This post is fixed-term for 4 years.


Steve Renals
University of Edinburgh

The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.

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