LINGUIST List 28.1588
Fri Mar 31 2017
Support: Computational Linguistics; General Linguistics; Phonetics; Phonology; Sociolinguistics / United Kingdom
Editor for this issue: Amanda Foster <amandalinguistlist.org>
Andrew Gargett <andrew.gargett
Computational Linguistics; General Linguistics; Phonetics; Phonology; Sociolinguistics, PhD Student, University of Liverpool, United Kingdom E-mail this message to a friend
Department: Department of English
Web Address: https://www.liverpool.ac.uk/english/
Institution/Organization: University of Liverpool
Duties: Research,Project Work
Specialty Areas: Computational Linguistics; General Linguistics; Phonetics; Phonology; Sociolinguistics; Text/Corpus Linguistics
Stipend: The studentship will cover University fees and, depending on eligibility, an annual stipend, starting at £14,553, for 3 years. DTP students also have access to research and training expenses, and can apply for further funding to pursue fieldwork, academic exchange, and collaboration with non-academic organisations.
Closing Date: The deadline for receipt of applications is Thursday 20th April, 2017.
Applications are invited for a 3-year PhD studentship in the Department of English, as part of the ESRC North West Social Science Doctoral Training Partnership (NWSSDTP) at the University of Liverpool in collaboration with the Hartree Centre, a non-HEI partner organisation. The PhD project entitled ‘Variation and style in Liverpool English: building corpora to support automatic dialect recognition’ will be the first systematic study of variation of Liverpool English (LE) which will result in a spoken corpus of LE. The corpus will be used to build a state-of-the-art automatic speech recognition system for this regional variation. The project is designed for students with interdisciplinary interests in sociolinguistics, computational phonetics and natural language processing. It will contribute to knowledge and understanding of regional speech through the prism of new methodologies and techniques that can be applied in industry. The student will be based in the department of English (https://www.liverpool.ac.uk/english/
). Due to the interdisciplinary nature of the project, the student will also complete a substantial amount of work at the Hartree Centre (http://www.hartree.stfc.ac.uk/hartree/
), with supervision in all disciplines.
DTP students will acquire a unique set of skills that will equip them for high-profile careers as leading social scientists, in academia or in other government, industrial, commercial and third sector organisations either in the UK or elsewhere.
You will have a good Bachelor degree (equivalent of first-class distinction) in (computational) linguistics and a Master’s in a related area, preferably with a specialization in sociophonetics, completed by September 30th 2016. Due to a significant component of the project involving some intensive work in the area of computational modelling of natural language speech, the successful candidate will need strong programming skills (i.e. at least Python and/or Java and or C++, but R and/or Matlab would be an advantage), as well as a solid background in statistical modelling of speech and/or language.
You will work with Dr Sofia Lampropoulou and with Dr Paul Cooper as members of the UoL English department and with Dr Andrew Gargett as researcher at the Hartree Centre. The successful candidate will join the research cluster for ‘Language Variation’ and will be part of a world-class research environment.
DTP studentships are currently only open to UK and EU citizens. You can find out more here about the residency requirements that apply: http://www.esrc.ac.uk/files/skills-and-careers/studentships/postgraduate-funding-guide/
Further information about the ESRC North West Social Science Doctoral Training Partnership is available here: https://nwssdtp.ac.uk/
To apply for this vacancy please send a statement of interest and CV to: artshr
Informal inquiries can be sent to: s.lampropoulou
Interviews are scheduled for the week beginning 24th April.
Applications Deadline: 20-Apr-2017
Web Address for Applications: artshr
Page Updated: 31-Mar-2017