Research Associate in Speech Recognition and Machine Learning

King's College London

Salary Details: £33,518 to £35,550 per annum Allowances: Plus £2,923 London Allowance 

Postdoctoral Research Associate Positions in Speech Recognition and Machine Learning at King's College London and the University of Edinburgh.

Applications are invited for two Research Associate positions at the Centre for Telecommunications Research in the Department of Informatics, King’s College London.

The successful candidates will contribute to an EPSRC project “SpeechWave” which aims to develop methods for robust speech recognition. SpeechWave is a collaborative project between the University of Edinburgh and King’s College London, with partners that include University of California, Berkeley, SRI International, Menlo Park, California, the BBC, and two SMEs.

The successful candidates will play a leading role in the development of speech recognition systems that work over a wide range of adverse environments, including high levels of noise and reverberation. A key aspect of the work will be a focus on approaches that operate directly in the domain of acoustic waveforms or some high dimensional representation of speech. The posts will include the development of acoustic models using: recurrent neural networks (RNNs), deep kernel structures and representations such as Deep Scattering Spectrum.

At King's College there are two posts available concerned with deep acoustic models for the waveform domain, including support vector machines, kernel methods in general, and deep scattering spectrum modelling.

The roles are expected to involve working with state-of-the-art and novel acoustic and language modelling methods and architectures for end-to-end learning. The posts will also offer the opportunity for annual extended visits to the Department of Statistics, UC Berkeley and the Speech Technology and Research Laboratory, SRI International, Menlo Park.

Interviews are scheduled to be held in January 2018.

These Full time posts will initially be on a Fixed Term Contract for 3 years.

The selection process will include a presentation and panel interview.If you have questions about this role, please contact: Professor Zoran Cvetkovic, Email:

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