Applications are invited for a research position in statistical spoken dialogue systems in the Dialogue Systems Group at the Cambridge University Engineering Department. The position is sponsored by EPSRC grant "Natural Automated Utility for Mental Health". The main focus of the work will be on the development of techniques and algorithms for implementing a spoken dialogue system that can be used for maintaining well-being in healthy people. This project is a first step in that direction and the main focus of the project is to investigate advances of the technology that are need to support such a challenging task. The successful candidate will have good mathematical skills and be familiar with machine learning. S/he will have the ability to design tests and experiments and to design and develop new methods and algorithms to address research objectives and find solutions. Good communication skills are essential for this role, as the role involves collaborating with mental health specialist on the successful development of the system. The candidate must also have strong programming skills. Preference will be given to candidates with specific understanding of reinforcement learning, experience in spoken dialogue systems, experience in building spoken dialogue systems applications and a strong publication record. Candidates with prior experience in health applications will be at an advantage. Candidates should have, or will shortly have, a PhD in an area related to speech technology. This is an exciting opportunity to join one of the leading groups in statistical speech and language processing. Cambridge provides excellent research facilities and there are extensive opportunities for collaboration, visits and attending conferences.
Salary Ranges: Research Assistant: £25,298 - £29,301 Research Associate: £29,301-£38,183
Fixed-term: The funds for this post are available for 24 months in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Please ensure that you upload your Curriculum Vitae (CV) and a covering letter 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.
Please quote reference NM11539 on your application and in any correspondence about this vacancy.
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