Machine Intelligence Laboratory

Cambridge University Department of Engineering

Jobs and Studentships

Academic Staff Posts

[ no academic staff posts currently advertised ]

Postdoctoral (and other) jobs

No specific posts currently open. Those interested in working in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly.

If you are interested in vacancies elsewhere in Cambridge University Engineering Department, there is a list available at http://www.eng.cam.ac.uk/admin/jobs.htm

Studentships

Research Studentships in Speech and Language Processing

Cambridge University Engineering Department (CUED) hopes to offer, subject to confirmation of funding, a number of well-funded three year PhD research studentships associated with a new grant from the DARPA Global Autonomous Language Exploitation (GALE) program. The aim of the GALE program is to develop and apply speech and language processing technologies to recognise, analyze and translate large volumes of speech and text in multiple languages. A wide range of PhD topics under this project are possible. These include: improving the word error rate of conventional speech recognition systems; extracting additional acoustic and linguistic metadata from acoustic data to aid recognition and translation; improving statistical machine translation; integration of speech recognition and machine translation. The PhD work will build on the existing state-of-the-art large vocabulary recognition systems and statistical machine translation systems developed at Cambridge. For further details see the AGILE web-page.

These studentships give an opportunity for study towards a PhD while working in a research group which has a world-leading reputation in speech and machine translation research. There are excellent opportunities for publications, travel and conference visits. The group has outstanding research facilities.

Candidates must have a very good first degree in a relevant discipline and a relevant Masters degree is an advantage. Since the project will use and extend the HTK large vocabulary speech recognition system and the translation template model toolkit, familiarity with the HTK toolkit and a good knowledge of C is a distinct advantage.

The research studentship positions are available from October 2006. The studentships will cover fees and a maintenance allowance in excess of current EPSRC awards from the UK Government. For non-EU candidates, the studentships will also cover all overseas fees.

For further details about the studentships you should contact one of the academic staff associated with the AGILE project.