Two PhD studentships in Spoken Language Technologies - University of Sheffield - deadline 13 Apr 2025

SW
Stuart Wrigley
Fri, Mar 7, 2025 1:11 PM

[Apologies for cross/multi-posting]

Dear all,

Applications are invited for two fully-funded 3.5 year PhD studentships in
Spoken Language Technologies with a September 2025 start hosted in the School
of Computer Science, University of Sheffield, UK
https://www.sheffield.ac.uk/cs.

We are seeking two candidates to each work on an interdisciplinary SLT
research project covering both fields of speech and language research on
one of the following topics:

  • Accessible Democracy: UK Houses of Parliament and cross-party Select
    Committees are at the core of UK democracy. Making the proceedings of these
    bodies accessible to citizens and journalists is key to holding politicians
    accountable. This research aims to develop technologies to provide access
    to the rich linguistic and paralinguistic information in parliamentary
    audio recordings. Helping journalists to identify newsworthy events is one
    of the example objectives, alongside more standard tasks such as search,
    creating alerts or summarisation.
  • Analytics of conversations: Spoken conversations are complex and
    difficult to understand for AI systems. While the words spoken are of
    obvious importance, paralinguistic information often plays an essential
    role for a satisfactory and efficient exchange. In practice only goal
    oriented metrics are used to assess the quality of an exchange, which are
    not helpful to describe a wide range of conversations such as interviews,
    story telling or even examinations. Modelling of the participants’
    knowledge and state as well as paralinguistic signalling and perception
    should be used to research novel methods to interpret and understand
    conversations.
  • Evolving communication in embodied agents: Spoken and written
    language have developed in the course of human evolution and can be viewed
    as key species-wide adaptations that have enabled us to better survive on
    our planet. Modelling the development of language in artificial agents with
    sensory apparatus that are embedded in a physical environment is an
    exciting research methodology that promises both deeper understanding of
    human languages and their origins, as well as insights into how to build
    more effective autonomous agents. This research will build on the state of
    the art in this area.

Home and International students are eligible to apply. Regardless of fees
status (Home or International), all fees will be paid (in addition to an
enhanced stipend and a research and training support grant to cover
research expenses and conference attendance).

The deadline for applications is 13 April 2025.

For more information, please visit our website:
https://slt-cdt.sheffield.ac.uk/apply

Please feel free to circulate to those who might be interested.

Many thanks and best wishes,
Stuart

--
Stuart N Wrigley BSc(Hons) PhD MIET MBCS SMIEEE MAHEP (he/him)
Operations and Business Development Manager
UKRI AI Centre for Doctoral Training in Speech and Language Technologies
and their Applications
slt-cdt.ac.uk        twitter.com/sltcdt        linkedin.com/company/sltcdt

School of Computer Science, University of Sheffield, UK
s.wrigley@sheffield.ac.uk
http://staffwww.dcs.shef.ac.uk/people/S.Wrigley/
https://www.linkedin.com/in/stuart-wrigley/

[Apologies for cross/multi-posting] Dear all, Applications are invited for two fully-funded 3.5 year PhD studentships in Spoken Language Technologies with a September 2025 start hosted in the School of Computer Science, University of Sheffield, UK <https://www.sheffield.ac.uk/cs>. We are seeking two candidates to each work on an interdisciplinary SLT research project covering both fields of speech and language research on one of the following topics: - *Accessible Democracy:* UK Houses of Parliament and cross-party Select Committees are at the core of UK democracy. Making the proceedings of these bodies accessible to citizens and journalists is key to holding politicians accountable. This research aims to develop technologies to provide access to the rich linguistic and paralinguistic information in parliamentary audio recordings. Helping journalists to identify newsworthy events is one of the example objectives, alongside more standard tasks such as search, creating alerts or summarisation. - *Analytics of conversations:* Spoken conversations are complex and difficult to understand for AI systems. While the words spoken are of obvious importance, paralinguistic information often plays an essential role for a satisfactory and efficient exchange. In practice only goal oriented metrics are used to assess the quality of an exchange, which are not helpful to describe a wide range of conversations such as interviews, story telling or even examinations. Modelling of the participants’ knowledge and state as well as paralinguistic signalling and perception should be used to research novel methods to interpret and understand conversations. - *Evolving communication in embodied agents:* Spoken and written language have developed in the course of human evolution and can be viewed as key species-wide adaptations that have enabled us to better survive on our planet. Modelling the development of language in artificial agents with sensory apparatus that are embedded in a physical environment is an exciting research methodology that promises both deeper understanding of human languages and their origins, as well as insights into how to build more effective autonomous agents. This research will build on the state of the art in this area. Home and International students are eligible to apply. Regardless of fees status (Home or International), all fees will be paid (in addition to an enhanced stipend and a research and training support grant to cover research expenses and conference attendance). The deadline for applications is *13 April 2025*. For more information, please visit our website: https://slt-cdt.sheffield.ac.uk/apply Please feel free to circulate to those who might be interested. Many thanks and best wishes, Stuart -- *Stuart N Wrigley BSc(Hons) PhD MIET MBCS SMIEEE MAHEP* (he/him) Operations and Business Development Manager UKRI AI Centre for Doctoral Training in Speech and Language Technologies and their Applications slt-cdt.ac.uk twitter.com/sltcdt linkedin.com/company/sltcdt School of Computer Science, University of Sheffield, UK s.wrigley@sheffield.ac.uk http://staffwww.dcs.shef.ac.uk/people/S.Wrigley/ https://www.linkedin.com/in/stuart-wrigley/