Research Assistant / Associate in Spoken Language Processing

University of Cambridge Department of Engineering

United Kingdom

Applications are invited for two Research Assistants/Research Associates in the Department of Engineering, to work on an EPSRC funded project Multimodal Video Search by Examples (MVSE). The project is a collaboration between three Universities, Ulster, Surrey and Cambridge, and the BBC as an industrial partner. The overall aim of the project is to enable effective and efficient multimodal video search of large archives, such as BBC TV programmes.

The research associated with these positions will focus on deriving representation for all the information that is contained within the video speech signal, and integrating with other modalities. The forms of representation will include both: voice analytics e.g. speaker and emotion; and topic and audio content analytics e.g. word-sequence and topic classification and tracking. The position will involve close collaboration with Surrey and Ulster Universities to integrate with other information sources, video and the audio scene, to yield a flexible and efficient video search index.

The key responsibilities and duties are to design and develop appropriate methodologies to address the above research objectives. This will involve planning and managing their own research activity and liaising with colleagues in the Speech Research Group at Cambridge.

The skills, qualifications and experience required to perform the role are a very good first degree in engineering, computer science or a closely related field and have obtained or be close to obtaining a PhD degree in an area related to speech technology, or equivalent experience. It is expected that candidates will have a good knowledge of speech software tools such as Kaldi, and/or general deep-learning tools such as pyTorch. Good knowledge of Python and C/C++ is desirable.

Appointment at Research Associate level is dependent on having a PhD, or equivalent experience. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Fixed-term: The funds for this post are available until 31 January 2024 in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload your Curriculum Vitae (CV), a covering letter and a statement of research interests in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions of a technical nature about this vacancy please contact Prof Mark Gales (mjfg@eng.cam.ac.uk) or for the application process, please contact: Lina Zvaginyte-Bagociene, (Information Engineering Division Administrator), email: div-f@eng.cam.ac.uk

Please quote reference NM24542 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.


In your application, please refer to Polytechnicpositions.com

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