Research Assistant/Associate in Dialogue Systems University of Cambridge

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Amar Annamalai
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Research Assistant/Associate in Dialogue Systems University of Cambridge

Job Ref: NM03182

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 Toshiba Cambridge Research Laboratory.
 
The main focus of the work will be on the development of techniques and algorithms for implementing robust statistical dialogue systems which can support conversations ranging over very wide, potentially open, domains.  The work will extend existing techniques for belief tracking and decision making by distributing classifiers and policies over the corresponding ontology.
 
The successful candidate will be 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.  Preference will be given to candidates with specific understanding of Bayesian methods and reinforcement learning and experience in spoken dialogue systems. Candidates with good communication and writing skills and knowledge of semantic web, OWL and ontologies will be at an advantage.  Candidates should have, or will shortly have, a PhD.  However, candidates with comparable research experience are also encouraged to apply. 
 
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: ?24,289 - ?27,318 Research Associate: ?28,132 - ?36,661
 
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 and to view further information about the role, please visit:
http://www.jobs.cam.ac.uk/job/3726.
 
This will take you to the role on the University?s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form.
 
If you have any questions about this vacancy or the application process, please contact: Elisabeth Barlow, email  Elisabeth.Barlow@admin.cam.ac.uk. (Tel +44 01223 765692)
 
Please quote reference NM03182 on your application and in any correspondence about this vacancy.
 
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