[Univ of Cambridge] [Dept of Engineering]

Dialogue Systems Group








[new]Research Staff Vacancies


Research Assistant/Associate in Statistical Spoken Dialogue Systems New

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 "Open Domain Statistical Spoken Dialogue Systems".

The main focus of the work will be on the development of techniques and algorithms for implementing the next generation of statistical dialogue systems which can support natural and rich conversations ranging over very wide, potentially open, domains. The work will extend existing techniques for decision making by distributing policies over the corresponding ontology.

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. Preference will be given to candidates with specific understanding of Reinforcement learning and Gaussian processes, experience in spoken dialogue systems, and strong software engineering skills. Candidates with good communication and writing skills and knowledge of semantic web, OWL and ontologies will be at an advantage. Candidates should have, or be close to obtaining, 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. The post is based in Central Cambridge, Cambridgeshire, UK.

Salary Ranges: Research Assistant: 25,023 - 28,982; Research Associate: 28,982 - 37,768 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 click Apply button below.

The University values diversity and is committed to equality of opportunity.

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

Apply online