Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Those interested in working with particular academic staff in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly.
Postgraduate Applications | ||||||||
Changed: | ||||||||
< < | General information about applying for postgraduate study is available on the Board of Graduate Studies website. More specific information is available on the Department of Engineering's own Graduate Studies pages. | |||||||
> > | General information about applying for postgraduate study is available on the Board of Graduate Studies website. | |||||||
Changed: | ||||||||
< < |
The previous system for online submission of expressions of interest is no longer in operation, and now redirects to this page.
| |||||||
> > | More specific information is available on the Department of Engineering's own Graduate Studies pages. | |||||||
|
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Those interested in working with particular academic staff in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly.
Postgraduate Applications | ||||||||
Line: 6 to 6 | ||||||||
General information about applying for postgraduate study is available on the Board of Graduate Studies website. More specific information is available on the Department of Engineering's own Graduate Studies pages. The previous system for online submission of expressions of interest is no longer in operation, and now redirects to this page. | ||||||||
Changed: | ||||||||
< < |
Postdoc PositionsThe following positions are available in the Machine Intelligence Laboratory: BABEL project Research Assistant/Associate in Speech Processing (Fixed Term) http://www.jobs.cam.ac.uk/job/7638/ (Closing date 24 August 2015) Automated Language Teaching and Assessment (ALTA) Research Assistant/Associate in Speech Processing (Fixed Term) http://www.jobs.cam.ac.uk/job/7632/ (Closing date 24 August 2015) Senior Research Associate in Speech Processing (Fixed Term) http://www.jobs.cam.ac.uk/job/7635/ (Closing date 24 August 2015) | |||||||
> > |
| |||||||
|
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Those interested in working with particular academic staff in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | ||||||||
Deleted: | ||||||||
< < | ||||||||
Postgraduate ApplicationsGeneral information about applying for postgraduate study is available on the Board of Graduate Studies website. More specific information is available on the Department of Engineering's own Graduate Studies pages. | ||||||||
Line: 8 to 6 | ||||||||
General information about applying for postgraduate study is available on the Board of Graduate Studies website. More specific information is available on the Department of Engineering's own Graduate Studies pages. The previous system for online submission of expressions of interest is no longer in operation, and now redirects to this page. | ||||||||
Added: | ||||||||
> > |
Postdoc PositionsThe following positions are available in the Machine Intelligence Laboratory: BABEL project Research Assistant/Associate in Speech Processing (Fixed Term) http://www.jobs.cam.ac.uk/job/7638/ (Closing date 24 August 2015) Automated Language Teaching and Assessment (ALTA) | |||||||
Added: | ||||||||
> > | Research Assistant/Associate in Speech Processing (Fixed Term) http://www.jobs.cam.ac.uk/job/7632/ (Closing date 24 August 2015) | |||||||
Added: | ||||||||
> > | Senior Research Associate in Speech Processing (Fixed Term) http://www.jobs.cam.ac.uk/job/7635/ (Closing date 24 August 2015) | |||||||
|
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Those interested in working with particular academic staff in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | ||||||||
Line: 10 to 10 | ||||||||
The previous system for online submission of expressions of interest is no longer in operation, and now redirects to this page. | ||||||||
Deleted: | ||||||||
< < |
Research Assistants/Associates in Speech Technology (Fixed Term)Closing Date 18 July 2014 Full details here | |||||||
|
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Those interested in working with particular academic staff in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | ||||||||
Line: 10 to 10 | ||||||||
The previous system for online submission of expressions of interest is no longer in operation, and now redirects to this page. | ||||||||
Deleted: | ||||||||
< < |
Research Assistant/Associate in Speech Technology (Fixed Term)Closing Date 16 July 2014 Full details here | |||||||
Research Assistants/Associates in Speech Technology (Fixed Term)Closing Date 18 July 2014 Full details here |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Changed: | ||||||||
< < | Those interested in working with particular academic staff in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | |||||||
> > | Those interested in working with particular academic staff in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | |||||||
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Those interested in working with particular academic staff in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | ||||||||
Line: 9 to 9 | ||||||||
The previous system for online submission of expressions of interest is no longer in operation, and now redirects to this page. | ||||||||
Added: | ||||||||
> > |
Research Assistant/Associate in Speech Technology (Fixed Term)Closing Date 16 July 2014 Full details hereResearch Assistants/Associates in Speech Technology (Fixed Term)Closing Date 18 July 2014 Full details here | |||||||
|
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Those interested in working with particular academic staff in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | ||||||||
Deleted: | ||||||||
< < |
Current Postdoctoral jobsResearch Associate/Senior Research Associate in Ultrasonic Imaging (Fixed Term) closing date 20 December 2013. | |||||||
Postgraduate Applications |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Changed: | ||||||||
< < |
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobs | |||||||
> > | Those interested in working with particular academic staff in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | |||||||
Changed: | ||||||||
< < | [ no postdoctoral posts currently advertised ] | |||||||
> > |
Current Postdoctoral jobs | |||||||
Changed: | ||||||||
< < | Those interested in working with particular academic staff in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | |||||||
> > | Research Associate/Senior Research Associate in Ultrasonic Imaging (Fixed Term) closing date 20 December 2013. | |||||||
Deleted: | ||||||||
< < | 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 | |||||||
Changed: | ||||||||
< < |
Studentships | |||||||
> > |
Postgraduate Applications | |||||||
General information about applying for postgraduate study is available on the Board of Graduate Studies website. More specific information is available on the Department of Engineering's own Graduate Studies pages. |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobs | ||||||||
Changed: | ||||||||
< < | One post is available in Speech Technology working on the Natural Speech Technology (NST) project with Prof Phil Woodland. The closing date is 12 July 2013 and details can be found here | |||||||
> > | [ no postdoctoral posts currently advertised ] | |||||||
Changed: | ||||||||
< < | Two posts are expected to become available working on a DARPA-funded project with Prof Phil Woodland. The closing date is 12 July 2013 and details can be found here Those interested in working with other staff in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | |||||||
> > | Those interested in working with particular academic staff 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 |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobs | ||||||||
Changed: | ||||||||
< < | Those interested in working in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | |||||||
> > | One post is available in Speech Technology working on the Natural Speech Technology (NST) project with Prof Phil Woodland. The closing date is 12 July 2013 and details can be found here Two posts are expected to become available working on a DARPA-funded project with Prof Phil Woodland. The closing date is 12 July 2013 and details can be found here Those interested in working with other staff 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 |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobs | ||||||||
Changed: | ||||||||
< < |
Research Associate/Senior Research Associate in Speech ProcessingSee also the original advertisement at http://www.jobs.cam.ac.uk/job/-18422/ A position is expected to become available for a Research Associate, or Senior Research Associate, to work on a new 4 year project funded by the US Government. The project will develop speech recognition and keyword spotting techniques aimed at situations with only small amounts of language-specific data. This research will build on the current CUED HTK-based speech recognition systems. This is an opportunity to work in a research group with a world-leading reputation and there are excellent opportunities for publications, travel and conference visits. Successful candidates would be expected to have a PhD or equivalent experience in speech recognition, word spotting or a closely related area as well as a very good first degree in engineering, computer science or a closely related field. Further details about the work in group may be viewed at http://mi.eng.cam.ac.uk/~mjfg or obtained from Dr Mark Gales mjfg@eng.cam.ac.uk. To apply complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send with your C.V. and covering letter to Rachel Fogg, Department of Engineering, Trumpington Street, Cambridge, CB2 1PZ, (Fax +44 01223 332662, email div-f@eng.cam.ac.uk * Limit of tenure:28 February 2014 Quote Reference: NA18422,Closing Date: 7 August 2012Interview Date(s): Interviews will be held with selected candidates as soon as possible after the closing date. OtherThose interested in working elsewhere in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | |||||||
> > | 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 |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts | ||||||||
Line: 17 to 17 | ||||||||
Quote Reference: NA18422,Closing Date: 7 August 2012 Interview Date(s): Interviews will be held with selected candidates as soon as possible after the closing date. | ||||||||
Deleted: | ||||||||
< < |
Senior Research Associate or Research AssociateApplications are invited for the position of Research Associate or Senior Research Associate to work on the EU Parlance Project which aims to build robust statistical spoken dialogue systems in open domains. The specific area of responsibility for this position concerns the development of speech recognition and understanding to support noise robust incremental dialogue in which partial phrases are decoded and interpreted on-the-fly whilst the user is still speaking. Candidates should have a PhD or comparable research experience in a relevant area. Salaries will be in the range £27428 to £44016 depending on qualifications and experience, and the position is open for an immediate start. This is an exciting opportunity to join one of the leading groups in statistical spoken dialogue systems. Cambridge provides excellent research facilities and there are extensive opportunities for collaboration, visits and attending conferences. Further information on the work of the Dialogue Systems Group can be found at http://mi.eng.cam.ac.uk/research/dialogue Prospective candidates should send their CV as soon as possible to Professor Steve Young (sjy@eng.cam.ac.uk). | |||||||
OtherThose interested in working elsewhere in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobs | ||||||||
Added: | ||||||||
> > |
Research Associate/Senior Research Associate in Speech ProcessingSee also the original advertisement at http://www.jobs.cam.ac.uk/job/-18422/ A position is expected to become available for a Research Associate, or Senior Research Associate, to work on a new 4 year project funded by the US Government. The project will develop speech recognition and keyword spotting techniques aimed at situations with only small amounts of language-specific data. This research will build on the current CUED HTK-based speech recognition systems. This is an opportunity to work in a research group with a world-leading reputation and there are excellent opportunities for publications, travel and conference visits. Successful candidates would be expected to have a PhD or equivalent experience in speech recognition, word spotting or a closely related area as well as a very good first degree in engineering, computer science or a closely related field. Further details about the work in group may be viewed at http://mi.eng.cam.ac.uk/~mjfg or obtained from Dr Mark Gales mjfg@eng.cam.ac.uk. To apply complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send with your C.V. and covering letter to Rachel Fogg, Department of Engineering, Trumpington Street, Cambridge, CB2 1PZ, (Fax +44 01223 332662, email div-f@eng.cam.ac.uk * Limit of tenure:28 February 2014 Quote Reference: NA18422,Closing Date: 7 August 2012Interview Date(s): Interviews will be held with selected candidates as soon as possible after the closing date. | |||||||
Senior Research Associate or Research AssociateApplications are invited for the position of Research Associate or Senior Research Associate to work on the EU Parlance Project which aims to build robust statistical spoken dialogue systems in open domains. The specific area of responsibility for this position concerns the development of speech recognition and understanding to support noise robust incremental dialogue in which partial phrases are decoded and interpreted on-the-fly whilst the user is still speaking. Candidates should have a PhD or comparable research experience in a relevant area. Salaries will be in the range £27428 to £44016 depending on qualifications and experience, and the position is open for an immediate start. |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobs | ||||||||
Changed: | ||||||||
< < |
| |||||||
> > |
Senior Research Associate or Research Associate | |||||||
Changed: | ||||||||
< < | Applications are invited for one research assistant position to work on automatic evaluation of oral communication skills. The aim of the project, which is sponsored by Cambridge Assessment, is to investigate a statistical approach to automatically evaluate oral communication skill in speaking test. | |||||||
> > | Applications are invited for the position of Research Associate or Senior Research Associate to work on the EU Parlance Project which aims to build robust statistical spoken dialogue systems in open domains. The specific area of responsibility for this position concerns the development of speech recognition and understanding to support noise robust incremental dialogue in which partial phrases are decoded and interpreted on-the-fly whilst the user is still speaking. Candidates should have a PhD or comparable research experience in a relevant area. Salaries will be in the range £27428 to £44016 depending on qualifications and experience, and the position is open for an immediate start. | |||||||
Changed: | ||||||||
< < | Full details are available here http://www.jobs.cam.ac.uk/job/-11832/. | |||||||
> > | This is an exciting opportunity to join one of the leading groups in statistical spoken dialogue systems. Cambridge provides excellent research facilities and there are extensive opportunities for collaboration, visits and attending conferences. Further information on the work of the Dialogue Systems Group can be found at http://mi.eng.cam.ac.uk/research/dialogue | |||||||
Changed: | ||||||||
< < |
Other | |||||||
> > |
Prospective candidates should send their CV as soon as possible to Professor Steve Young (sjy@eng.cam.ac.uk).
Other | |||||||
Those interested in working elsewhere in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobs | ||||||||
Changed: | ||||||||
< < |
| |||||||
> > |
| |||||||
Changed: | ||||||||
< < | Applications are invited for one research assistant position in automatic speech recognition and assessment. This position will be associated with a project which is set up to develop methods to automatically evaluate English-speaking skills of non-native speakers in oral communication tests. The specific task is to investigate non-native speech recognition and associated scoring approaches. HTK platform will be used as the speech recognition platform. The successful candidate will be familiar with HMM based speech recognition and machine learning techniques. Preference will be given to candidates with experience in language assessment related research and familiarity with the HTK platform. Candidates who have or will shortly have a Ph.D. are preferred although 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. To apply, complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send electronically with your C.V. and covering letter to Mrs Janet Milne, email: div-f@eng.cam.ac.uk. The application is open now and will be closed in Feb. 2012. | |||||||
> > | Applications are invited for one research assistant position to work on automatic evaluation of oral communication skills. The aim of the project, which is sponsored by Cambridge Assessment, is to investigate a statistical approach to automatically evaluate oral communication skill in speaking test. | |||||||
Added: | ||||||||
> > | Full details are available here http://www.jobs.cam.ac.uk/job/-11832/. | |||||||
Other |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts | ||||||||
Line: 13 to 13 | ||||||||
This is an exciting opportunity to join one of the leading groups in statistical speech and language processing. Cambridge provides excellent research facilities. To apply, complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send electronically with your C.V. and covering letter to Mrs Janet Milne, email: div-f@eng.cam.ac.uk. The application is open now and will be closed in Feb. 2012. | ||||||||
Deleted: | ||||||||
< < |
Senior Research Associate/Research Assistant/Associates in Speech Recognition and Speech Synthesis, Dialogue Systems Group | |||||||
Deleted: | ||||||||
< < |
Applications are invited for two research positions in automatic speech recognition (ASR) and statistical speech synthesis. These will be associated with projects based in the Dialogue Systems Group at the Cambridge University Engineering Department.
One project is to develop methods to automatically evaluate English-speaking skills of non-native speakers in oral tests. The specific task is to investigate non-native speech recognition and associated scoring approaches. This position is available immediately.
The second project concerns the development of dialogue systems for interactive web-search using natural conversation with specific interests in fast adaptation and noise robustness for real-time speech recognition; and expressive statistical synthesis with rich contexts. This position will be available in the fall of 2011.
HTK and ATK is used as the speech recognition platforms for all our projects. The successful candidate will be familiar with HMM based speech recognition or synthesis techniques. Preference will be given to candidates with experience in adaptation techniques, noise robustness, end-to-end implementation of speech recognition systems, and familiarity with the ATK/HTK platform. Candidates who have or will shortly have a PhD are preferred although candidates with comparable research experience are also encouraged to apply. Salaries will be in the range £27428 to £46696 depending on qualifications and experience.
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.
To apply, complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send electronically with your C.V. and covering letter to Mrs Janet Milne, email: div-f@eng.cam.ac.uk. The closing date for the application is Nov. 10th, 2011.
Research Associate in Statistical Dialogue Systems, Dialogue Systems GroupApplications are invited for a research position in statistical spoken dialogue systems associated with projects based in the Dialogue Systems Group at the Cambridge University Engineering Department.The main focus of the work will be on the development of techniques and algorithms for implementing robust statistical dialogue systems which can reconfigure on-line using dynamic ontologies with the aim of providing natural conversational spoken access to hyper-local web-based information sources. This work will build on our existing dynamic Bayesian Network dialogue management framework and a new micro-turn architecture which provides a sophisticated natural turn-taking capability. The successful candidate will be familiar with machine learning and Bayesian Networks and preference will be given to candidates with experience in spoken dialogue systems. Candidates should have, or will shortly have, a PhD. However, candidates with comparable research experience are also encouraged to apply. Salaries will be in the range £27428 to £35788 depending on qualifications and experience. 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. To apply, complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send electronically with your C.V. and covering letter to Mrs Janet Milne, email: div-f@eng.cam.ac.uk. The closing date for the application is Nov. 10th, 2011. | |||||||
OtherThose interested in working elsewhere in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobs | ||||||||
Changed: | ||||||||
< < |
| |||||||
> > |
Applications are invited for one research assistant position in automatic speech recognition and assessment. This position will be associated with a project which is set up to develop methods to automatically evaluate English-speaking skills of non-native speakers in oral communication tests. The specific task is to investigate non-native speech recognition and associated scoring approaches.
HTK platform will be used as the speech recognition platform. The successful candidate will be familiar with HMM based speech recognition and machine learning techniques. Preference will be given to candidates with experience in language assessment related research and familiarity with the HTK platform. Candidates who have or will shortly have a Ph.D. are preferred although 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. To apply, complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send electronically with your C.V. and covering letter to Mrs Janet Milne, email: div-f@eng.cam.ac.uk. The application is open now and will be closed in Feb. 2012.
| |||||||
Applications are invited for two research positions in automatic speech recognition (ASR) and statistical speech synthesis. These will be associated with projects based in the Dialogue Systems Group at the Cambridge University Engineering Department. | ||||||||
Line: 18 to 26 | ||||||||
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. To apply, complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send electronically with your C.V. and covering letter to Mrs Janet Milne, email: div-f@eng.cam.ac.uk. The closing date for the application is Nov. 10th, 2011. | ||||||||
Changed: | ||||||||
< < |
| |||||||
> > |
Research Associate in Statistical Dialogue Systems, Dialogue Systems Group | |||||||
Applications are invited for a research position in statistical spoken dialogue systems associated with projects based in the Dialogue Systems Group at the Cambridge University Engineering Department. The main focus of the work will be on the development of techniques and algorithms for implementing robust statistical dialogue systems which can reconfigure on-line using dynamic ontologies with the aim of providing natural conversational spoken access to hyper-local web-based information sources. This work will build on our existing dynamic Bayesian Network dialogue management framework and a new micro-turn architecture which provides a sophisticated natural turn-taking capability. The successful candidate will be familiar with machine learning and Bayesian Networks and preference will be given to candidates with experience in spoken dialogue systems. Candidates should have, or will shortly have, a PhD. However, candidates with comparable research experience are also encouraged to apply. Salaries will be in the range £27428 to £35788 depending on qualifications and experience. 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. |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts | ||||||||
Line: 17 to 17 | ||||||||
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. | ||||||||
Changed: | ||||||||
< < | To apply, complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send electronically with your C.V. and covering letter to Mrs Janet Milne, email: jrm16@eng.cam.ac.uk | |||||||
> > | To apply, complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send electronically with your C.V. and covering letter to Mrs Janet Milne, email: div-f@eng.cam.ac.uk. The closing date for the application is Nov. 10th, 2011. | |||||||
Applications are invited for a research position in statistical spoken dialogue systems associated with projects based in the Dialogue Systems Group at the Cambridge University Engineering Department. | ||||||||
Changed: | ||||||||
< < | To apply, complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send electronically with your C.V. and covering letter to Mrs Janet Milne, email: jrm16@eng.cam.ac.uk | |||||||
> > | To apply, complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send electronically with your C.V. and covering letter to Mrs Janet Milne, email: div-f@eng.cam.ac.uk. The closing date for the application is Nov. 10th, 2011. | |||||||
Other |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobs | ||||||||
Changed: | ||||||||
< < |
| |||||||
> > |
| |||||||
Applications are invited for two research positions in automatic speech recognition (ASR) and statistical speech synthesis. These will be associated with projects based in the Dialogue Systems Group at the Cambridge University Engineering Department. | ||||||||
Line: 13 to 13 | ||||||||
The second project concerns the development of dialogue systems for interactive web-search using natural conversation with specific interests in fast adaptation and noise robustness for real-time speech recognition; and expressive statistical synthesis with rich contexts. This position will be available in the fall of 2011. | ||||||||
Changed: | ||||||||
< < | HTK and ATK is used as the speech recognition platforms for all our projects. The successful candidate will be familiar with HMM based speech recognition or synthesis techniques. Preference will be given to candidates with experience in adaptation techniques, noise robustness, end-to-end implementation of speech recognition systems, and familiarity with the ATK/HTK platform. Candidates who have or will shortly have a PhD are preferred although candidates with comparable research experience are also encouraged to apply. Salaries will be in the range £27428 to £35788 depending on qualifications and experience. | |||||||
> > | HTK and ATK is used as the speech recognition platforms for all our projects. The successful candidate will be familiar with HMM based speech recognition or synthesis techniques. Preference will be given to candidates with experience in adaptation techniques, noise robustness, end-to-end implementation of speech recognition systems, and familiarity with the ATK/HTK platform. Candidates who have or will shortly have a PhD are preferred although candidates with comparable research experience are also encouraged to apply. Salaries will be in the range £27428 to £46696 depending on qualifications and experience. | |||||||
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. | ||||||||
Changed: | ||||||||
< < | Prospective candidates should send their CV as soon as possible to Dr Kai Yu (ky219@cam.ac.uk). | |||||||
> > | To apply, complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send electronically with your C.V. and covering letter to Mrs Janet Milne, email: jrm16@eng.cam.ac.uk | |||||||
| ||||||||
Changed: | ||||||||
< < |
Applications are invited for a research position in statistical spoken dialogue systems associated with projects based in the Dialogue Systems Group at the Cambridge University Engineering Department. The main focus of the work will be on the development of techniques and algorithms for implementing robust statistical dialogue systems which can reconfigure on-line using dynamic ontologies with the aim of providing natural conversational spoken access to hyper-local web-based information sources. This work will build on our existing dynamic Bayesian Network dialogue management framework and a new micro-turn architecture which provides a sophisticated natural turn-taking capability. The successful candidate will be familiar with machine learning and Bayesian Networks and preference will be given to candidates with experience in spoken dialogue systems. Candidates should have, or will shortly have, a PhD. However, candidates with comparable research experience are also encouraged to apply. Salaries will be in the range £27428 to £35788 depending on qualifications and experience. 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. Prospective candidates should send their CV as soon as possible to Dr Kai Yu (ky219@cam.ac.uk). | |||||||
> > |
Applications are invited for a research position in statistical spoken dialogue systems associated with projects based in the Dialogue Systems Group at the Cambridge University Engineering Department. The main focus of the work will be on the development of techniques and algorithms for implementing robust statistical dialogue systems which can reconfigure on-line using dynamic ontologies with the aim of providing natural conversational spoken access to hyper-local web-based information sources. This work will build on our existing dynamic Bayesian Network dialogue management framework and a new micro-turn architecture which provides a sophisticated natural turn-taking capability. The successful candidate will be familiar with machine learning and Bayesian Networks and preference will be given to candidates with experience in spoken dialogue systems. Candidates should have, or will shortly have, a PhD. However, candidates with comparable research experience are also encouraged to apply. Salaries will be in the range £27428 to £35788 depending on qualifications and experience. 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. To apply, complete form CHRIS /6 (cover sheet for C.V.s) available at http://www.admin.cam.ac.uk/offices/hr/forms/ and send electronically with your C.V. and covering letter to Mrs Janet Milne, email: jrm16@eng.cam.ac.uk | |||||||
Other |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobs | ||||||||
Deleted: | ||||||||
< < |
Job advertisement, EPSRC NST project | |||||||
Applications are invited for two research positions in automatic speech recognition (ASR) and statistical speech synthesis. These will be associated with projects based in the Dialogue Systems Group at the Cambridge University Engineering Department. | ||||||||
Line: 17 to 13 | ||||||||
The second project concerns the development of dialogue systems for interactive web-search using natural conversation with specific interests in fast adaptation and noise robustness for real-time speech recognition; and expressive statistical synthesis with rich contexts. This position will be available in the fall of 2011. | ||||||||
Changed: | ||||||||
< < | HTK and ATK is used as the speech recognition platforms for all our projects. The successful candidate will be familiar with HMM based speech recognition or synthesis techniques. Preference will be given to candidates with experience in adaptation techniques, noise robustness, end-to-end implementation of speech recognition systems, and familiarity with the ATK/HTK platform. Candidates who have or will shortly have a PhD are preferred although candidates with comparable research experience are also encouraged to apply. Salaries will be in the range £27428 to £35788 depending on qualifications and experience. | |||||||
> > | HTK and ATK is used as the speech recognition platforms for all our projects. The successful candidate will be familiar with HMM based speech recognition or synthesis techniques. Preference will be given to candidates with experience in adaptation techniques, noise robustness, end-to-end implementation of speech recognition systems, and familiarity with the ATK/HTK platform. Candidates who have or will shortly have a PhD are preferred although candidates with comparable research experience are also encouraged to apply. Salaries will be in the range £27428 to £35788 depending on qualifications and experience. | |||||||
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. | ||||||||
Line: 25 to 21 | ||||||||
| ||||||||
Changed: | ||||||||
< < |
Applications are invited for a research position in statistical spoken dialogue systems associated with projects based in the Dialogue Systems Group at the Cambridge University Engineering Department. The main focus of the work will be on the development of techniques and algorithms for implementing robust statistical dialogue systems which can reconfigure on-line using dynamic ontologies with the aim of providing natural conversational spoken access to hyper-local web-based information sources. This work will build on our existing dynamic Bayesian Network dialogue management framework and a new micro-turn architecture which provides a sophisticated natural turn-taking capability. The successful candidate will be familiar with machine learning and Bayesian Networks and preference will be given to candidates with experience in spoken dialogue systems. Candidates should have, or will shortly have, a PhD. However, candidates with comparable research experience are also encouraged to apply. Salaries will be in the range £27428 to £35788 depending on qualifications and experience. 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. Prospective candidates should send their CV as soon as possible to Dr Kai Yu (ky219@cam.ac.uk). | |||||||
> > |
Applications are invited for a research position in statistical spoken dialogue systems associated with projects based in the Dialogue Systems Group at the Cambridge University Engineering Department. The main focus of the work will be on the development of techniques and algorithms for implementing robust statistical dialogue systems which can reconfigure on-line using dynamic ontologies with the aim of providing natural conversational spoken access to hyper-local web-based information sources. This work will build on our existing dynamic Bayesian Network dialogue management framework and a new micro-turn architecture which provides a sophisticated natural turn-taking capability. The successful candidate will be familiar with machine learning and Bayesian Networks and preference will be given to candidates with experience in spoken dialogue systems. Candidates should have, or will shortly have, a PhD. However, candidates with comparable research experience are also encouraged to apply. Salaries will be in the range £27428 to £35788 depending on qualifications and experience. 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. Prospective candidates should send their CV as soon as possible to Dr Kai Yu (ky219@cam.ac.uk). | |||||||
Other |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts | ||||||||
Line: 9 to 9 | ||||||||
Job advertisement, EPSRC NST project | ||||||||
Changed: | ||||||||
< < |
| |||||||
> > |
| |||||||
Changed: | ||||||||
< < | Applications are invited for Research Associate positions in automatic speech recognition (ASR) and statistical speech synthesis. The RA positions will be associated with two projects based in the Dialogue Systems Group at the Cambridge University Engineering Department. | |||||||
> > | Applications are invited for two research positions in automatic speech recognition (ASR) and statistical speech synthesis. These will be associated with projects based in the Dialogue Systems Group at the Cambridge University Engineering Department. | |||||||
Changed: | ||||||||
< < | One project is to develop methods to automatically evaluate English-speaking skills of non-native speakers in oral tests. The specific task is to investigate non-native speech recognition and scoring approach. This project will be a one-year project starting in early Aug. 2011. | |||||||
> > | One project is to develop methods to automatically evaluate English-speaking skills of non-native speakers in oral tests. The specific task is to investigate non-native speech recognition and associated scoring approaches. This position is available immediately. | |||||||
Changed: | ||||||||
< < | The second project is to develop dialogue systems for interactive web-search based on natural conversation. On the ASR side, the project will investigate fast adaptation for real-time systems and noise-robust ASR. On the synthesis side, the project will investigate expressive statistical synthesis with rich contexts. This project is expected to start from Nov. 2011 and last for 3 years. | |||||||
> > | The second project concerns the development of dialogue systems for interactive web-search using natural conversation with specific interests in fast adaptation and noise robustness for real-time speech recognition; and expressive statistical synthesis with rich contexts. This position will be available in the fall of 2011. | |||||||
Changed: | ||||||||
< < | HTK and ATK will be used as the speech recognition platforms for both projects. The successful candidate will be familiar with HMM based speech recognition or synthesis techniques. Preference will be given to candidates with experience in adaptation techniques, noise robustness, end-to-end implementation of speech recognition systems, and familiarity with the ATK/HTK platform. Candidates who have or will shortly have a PhD are preferred although candidates with comparable research experience are also encouraged to apply. | |||||||
> > | HTK and ATK is used as the speech recognition platforms for all our projects. The successful candidate will be familiar with HMM based speech recognition or synthesis techniques. Preference will be given to candidates with experience in adaptation techniques, noise robustness, end-to-end implementation of speech recognition systems, and familiarity with the ATK/HTK platform. Candidates who have or will shortly have a PhD are preferred although candidates with comparable research experience are also encouraged to apply. Salaries will be in the range £27428 to £35788 depending on qualifications and experience. 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. | |||||||
Prospective candidates should send their CV as soon as possible to Dr Kai Yu (ky219@cam.ac.uk). | ||||||||
Added: | ||||||||
> > |
Applications are invited for a research position in statistical spoken dialogue systems associated with projects based in the Dialogue Systems Group at the Cambridge University Engineering Department. | |||||||
Other |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts | ||||||||
Line: 9 to 9 | ||||||||
Job advertisement, EPSRC NST project | ||||||||
Changed: | ||||||||
< < |
Research Associate, Dialogue Systems Group | |||||||
> > |
| |||||||
Changed: | ||||||||
< < | Applications are invited for a Research Associate position, working on automatic speech recognition. The project will be based in the Dialogue Systems Group, in the machine intelligence lab at the Cambridge University Engineering Department with an anticipated start date of May 1st, 2011 or soon after. | |||||||
> > | Applications are invited for Research Associate positions in automatic speech recognition (ASR) and statistical speech synthesis. The RA positions will be associated with two projects based in the Dialogue Systems Group at the Cambridge University Engineering Department. | |||||||
Changed: | ||||||||
< < | The aim of the project is to build a server-based robust spoken dialogue system providing tourist information for in-car users. The research associate will be involved in building the system's real-time conversational speech recognition engine. Tasks will include acoustic/language model training, implementing noise robustness techniques, decoder optimization, silence detection and turn taking research. ATK and HTK will be used as the speech recognition platform. The successful candidate will have a PhD in a relevant area, such as speech recognition or computer science, and be familiar with HMM based speech recognition techniques. Preference will be given to candidates with experience in noise robustness research, end-to-end implementation of speech recognition systems, and those familiar with the ATK/HTK platforms. | |||||||
> > | One project is to develop methods to automatically evaluate English-speaking skills of non-native speakers in oral tests. The specific task is to investigate non-native speech recognition and scoring approach. This project will be a one-year project starting in early Aug. 2011. | |||||||
Changed: | ||||||||
< < | The Dialogue Systems Group is a world-leading research group working on robust statistical spoken dialogue systems. During the project, there will be good opportunities to attend international conferences and workshops. The formal application process starts from Mar. 14 and will close on Apr. 14. Prospective candidates can send their CV immediately to Dr Kai Yu (ky219@cam.ac.uk) or Prof. Steve Young (sjy@eng.cam.ac.uk). | |||||||
> > | The second project is to develop dialogue systems for interactive web-search based on natural conversation. On the ASR side, the project will investigate fast adaptation for real-time systems and noise-robust ASR. On the synthesis side, the project will investigate expressive statistical synthesis with rich contexts. This project is expected to start from Nov. 2011 and last for 3 years. | |||||||
Changed: | ||||||||
< < | The Dialogue Systems Group expects to have further vacancies in the near future and if you would like to be kept informed please also contact Dr Yu. | |||||||
> > | HTK and ATK will be used as the speech recognition platforms for both projects. The successful candidate will be familiar with HMM based speech recognition or synthesis techniques. Preference will be given to candidates with experience in adaptation techniques, noise robustness, end-to-end implementation of speech recognition systems, and familiarity with the ATK/HTK platform. Candidates who have or will shortly have a PhD are preferred although candidates with comparable research experience are also encouraged to apply. | |||||||
Added: | ||||||||
> > |
Prospective candidates should send their CV as soon as possible to Dr Kai Yu (ky219@cam.ac.uk).
| |||||||
OtherThose interested in working elsewhere in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobs | ||||||||
Changed: | ||||||||
< < |
| |||||||
> > |
Job advertisement, EPSRC NST project
| |||||||
Applications are invited for a Research Associate position, working on automatic speech recognition. The project will be based in the Dialogue Systems Group, in the machine intelligence lab at the Cambridge University Engineering Department with an anticipated start date of May 1st, 2011 or soon after. |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts | ||||||||
Line: 13 to 13 | ||||||||
The aim of the project is to build a server-based robust spoken dialogue system providing tourist information for in-car users. The research associate will be involved in building the system's real-time conversational speech recognition engine. Tasks will include acoustic/language model training, implementing noise robustness techniques, decoder optimization, silence detection and turn taking research. ATK and HTK will be used as the speech recognition platform. The successful candidate will have a PhD in a relevant area, such as speech recognition or computer science, and be familiar with HMM based speech recognition techniques. Preference will be given to candidates with experience in noise robustness research, end-to-end implementation of speech recognition systems, and those familiar with the ATK/HTK platforms. | ||||||||
Changed: | ||||||||
< < | The Dialogue Systems Group is a world-leading research group working on robust statistical spoken dialogue systems. During the project, there will be good opportunities to attend international conferences and workshops. The formal application process starts from Mar. 14 and will close on Apr. 14. Prospective candidates can send their CV immediately to Dr Kai Yu (ky219@cam.ac.uk). | |||||||
> > | The Dialogue Systems Group is a world-leading research group working on robust statistical spoken dialogue systems. During the project, there will be good opportunities to attend international conferences and workshops. The formal application process starts from Mar. 14 and will close on Apr. 14. Prospective candidates can send their CV immediately to Dr Kai Yu (ky219@cam.ac.uk) or Prof. Steve Young (sjy@eng.cam.ac.uk). | |||||||
The Dialogue Systems Group expects to have further vacancies in the near future and if you would like to be kept informed please also contact Dr Yu. |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobs | ||||||||
Changed: | ||||||||
< < |
Research Associate, Dialogue Systems Group | |||||||
> > |
| |||||||
Changed: | ||||||||
< < | Applications will shortly be invited for a Research Associate position, working on automatic speech recognition. The project will be based in the Dialogue Systems Group, in the machine intelligence lab at the Cambridge University Engineering Department with an anticipated start date of March 2011 or soon after. The aim of the project is to build a server-based robust spoken dialogue system providing tourist information for in-car users. The research associate will be involved in building the system's real-time conversational speech recognition engine. Tasks will include acoustic/language model training, implementing noise robustness techniques, decoder optimization, silence detection and turn taking research. ATK and HTK will be used as the speech recognition platform. The successful candidate will have a PhD in a relevant area, such as speech recognition or computer science, and be familiar with HMM based speech recognition techniques. Preference will be given to candidates with experience in noise robustness research, end-to-end implementation of speech recognition systems, and those familiar with the ATK/HTK platforms. The Dialogue Systems Group is a world-leading research group working on robust statistical spoken dialogue systems. During the project, there will be good opportunities to attend international conferences and workshops. The formal application process is expected to begin in February but prospective candidates are encouraged to send their CV immediately to Dr Kai Yu (ky219@cam.ac.uk). | |||||||
> > | Applications are invited for a Research Associate position, working on automatic speech recognition. The project will be based in the Dialogue Systems Group, in the machine intelligence lab at the Cambridge University Engineering Department with an anticipated start date of May 1st, 2011 or soon after. The aim of the project is to build a server-based robust spoken dialogue system providing tourist information for in-car users. The research associate will be involved in building the system's real-time conversational speech recognition engine. Tasks will include acoustic/language model training, implementing noise robustness techniques, decoder optimization, silence detection and turn taking research. ATK and HTK will be used as the speech recognition platform. The successful candidate will have a PhD in a relevant area, such as speech recognition or computer science, and be familiar with HMM based speech recognition techniques. Preference will be given to candidates with experience in noise robustness research, end-to-end implementation of speech recognition systems, and those familiar with the ATK/HTK platforms. The Dialogue Systems Group is a world-leading research group working on robust statistical spoken dialogue systems. During the project, there will be good opportunities to attend international conferences and workshops. The formal application process starts from Mar. 14 and will close on Apr. 14. Prospective candidates can send their CV immediately to Dr Kai Yu (ky219@cam.ac.uk). | |||||||
The Dialogue Systems Group expects to have further vacancies in the near future and if you would like to be kept informed please also contact Dr Yu. | ||||||||
Line: 47 to 29 | ||||||||
The previous system for online submission of expressions of interest is no longer in operation, and now redirects to this page. | ||||||||
Added: | ||||||||
> > |
|
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobs | ||||||||
Changed: | ||||||||
< < | No specific posts currently open. Those interested in working in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | |||||||
> > |
Research Associate, Dialogue Systems GroupApplications will shortly be invited for a Research Associate position, working on automatic speech recognition. The project will be based in the Dialogue Systems Group, in the machine intelligence lab at the Cambridge University Engineering Department with an anticipated start date of March 2011 or soon after. The aim of the project is to build a server-based robust spoken dialogue system providing tourist information for in-car users. The research associate will be involved in building the system's real-time conversational speech recognition engine. Tasks will include acoustic/language model training, implementing noise robustness techniques, decoder optimization, silence detection and turn taking research. ATK and HTK will be used as the speech recognition platform. The successful candidate will have a PhD in a relevant area, such as speech recognition or computer science, and be familiar with HMM based speech recognition techniques. Preference will be given to candidates with experience in noise robustness research, end-to-end implementation of speech recognition systems, and those familiar with the ATK/HTK platforms. The Dialogue Systems Group is a world-leading research group working on robust statistical spoken dialogue systems. During the project, there will be good opportunities to attend international conferences and workshops. The formal application process is expected to begin in February but prospective candidates are encouraged to send their CV immediately to Dr Kai Yu (ky219@cam.ac.uk). The Dialogue Systems Group expects to have further vacancies in the near future and if you would like to be kept informed please also contact Dr Yu.OtherThose interested in working elsewhere 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 | ||||||||
Added: | ||||||||
> > | ||||||||
StudentshipsGeneral information about applying for postgraduate study is available on the Board of Graduate Studies website. More specific information is available on the Department of Engineering's own Graduate Studies pages. |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts | ||||||||
Line: 10 to 10 | ||||||||
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 | ||||||||
Changed: | ||||||||
< < | Preliminary enquiries about the possibility of studying for a postgraduate research degree (MPhil or PhD) in the Machine Intelligence Laboratory, should initially be made by email to div-f-phd-info at eng.cam.ac.uk. | |||||||
> > | General information about applying for postgraduate study is available on the Board of Graduate Studies website. More specific information is available on the Department of Engineering's own Graduate Studies pages. | |||||||
The previous system for online submission of expressions of interest is no longer in operation, and now redirects to this page. |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts | ||||||||
Line: 10 to 10 | ||||||||
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 | ||||||||
Changed: | ||||||||
< < |
Research Studentships in Speech and Language Processing | |||||||
> > | Preliminary enquiries about the possibility of studying for a postgraduate research degree (MPhil or PhD) in the Machine Intelligence Laboratory, should initially be made by email to div-f-phd-info at eng.cam.ac.uk. | |||||||
Changed: | ||||||||
< < | 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. | |||||||
> > | The previous system for online submission of expressions of interest is no longer in operation, and now redirects to this page. | |||||||
Deleted: | ||||||||
< < | 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. |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jobs and StudentshipsAcademic Staff Posts | ||||||||
Added: | ||||||||
> > | ||||||||
[ no academic staff posts currently advertised ]
Postdoctoral (and other) jobs | ||||||||
Deleted: | ||||||||
< < | No specific posts currently open. Those interested in working in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly. | |||||||
Changed: | ||||||||
< < | 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 | |||||||
> > | 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 | ||||||||
Added: | ||||||||
> > | ||||||||
Research Studentships in Speech and Language Processing | ||||||||
Added: | ||||||||
> > | ||||||||
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. |
Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Changed: | ||||||||
< < | fjiewo | |||||||
> > |
Jobs and StudentshipsAcademic Staff Posts[ no academic staff posts currently advertised ]Postdoctoral (and other) jobsNo 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.htmStudentshipsResearch Studentships in Speech and Language ProcessingCambridge 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. |