Research Assistant in Spoken Language Processing

We are seeking a highly motivated and enthusiastic Research Assistant to join our Spoken Language Processing (SLP) project team within the virtual Automated Language Teaching and Assessment (ALTA) Institute in the Department of Engineering. You will help support our research into automatic assessment and feedback for learning spoken English as an additional language. We work on real-life free speaking and conversational exams and practice tests, funded and closely collaborating with Cambridge University Press and Assessment (CUP&A).

The post holder will be located in Central Cambridge, Cambridgeshire, UK.

You will develop speech recognition and automatic marking systems working with colleagues in the Speech Research Group at Cambridge and with the partner groups in ALTA and CUP&A.

The skills, qualifications and experience required to perform the role are a very good first degree or Masters degree in engineering, computer science or a closely related field (or be close to obtaining). It is expected that candidates will have a good knowledge of speech software tools such as Kaldi, ESPnet, and/or general deep-learning tools such as pyTorch, and/or tools for spoken language assessment/CALL. Good knowledge of Python and the Linux OS is desirable. Experience in machine learning techniques and/or speech technology would be beneficial

In addition, applicants should exhibit good oral and written communication skills and have experience both of working in a team and managing their own workload.

Salary Ranges: Research Assistant: £27,929-£32,348

Fixed-term: The funds for this post are available until 30 September 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 about this vacancy please contact Dr Kate Knill (kmk1001@cam.ac.uk). For questions about the application process, please contact: Lina Zvaginyte-Bagociene (Information Engineering Division Administrator) email: div-f@eng.cam.ac.uk (Tel +44 1223 332711).

Please quote reference NM35568 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.

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