Postdoctoral Research Associate Positions in Speech Recognition and Machine Learning King's College London, Department of Informatics

Research Associate Reference: THW/17/059639/001577 Salary Details: £33,518 to £35,550 per annum Allowances: Plus £2,923 London Allowance Contract Type: Temporary/Fixed term Contract Term: Full time 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. This Full time post will initially be on a Fixed Term Contract for 3 years. The selection process will include a presentation and panel interview. Closing date: 17 December 2017 Attachments: Job Pack (Word Document 376k) If you have questions about this role, please contact: Professor Zoran Cvetkovic, Email: zoran.cvetkovic@kcl.ac.uk, Application form: Note: Only one document can be uploaded. If you wish to submit any additional information please include it within the application form. If you apply for this position please say you saw it on Computeroxy Apply

Research Associate

Reference: THW/17/059639/001577

Salary Details: £33,518 to £35,550 per annum

Allowances: Plus £2,923 London Allowance

Contract Type: Temporary/Fixed term

Contract Term: Full time

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.

This Full time post will initially be on a Fixed Term Contract for 3 years.

The selection process will include a presentation and panel interview.

Closing date: 17 December 2017

Attachments:
Job Pack (Word Document 376k)

If you have questions about this role, please contact: Professor Zoran Cvetkovic, Email: zoran.cvetkovic@kcl.ac.uk,

Application form:

Note: Only one document can be uploaded. If you wish to submit any additional information please include it within the application form.

If you apply for this position please say you saw it on Computeroxy

Apply