Two Fully-funded PhD Studentships in Spoken Language Technologies

Two Fully-funded PhD Studentships in Spoken Language Technologies, University of Sheffield, UK

Deadline for applications: 13 April 2025.

Home and International students may apply. Regardless of your fees status (Home or International), all fees will be paid (in addition to a full stipend).

Speech and Language Technologies (SLTs) are a range of Artificial Intelligence (AI) approaches for analysing, producing, modifying or responding to spoken and written language. SLTs are underpinned by a number of fundamental research fields including acoustics, signal processing, speech processing, natural language processing, computational linguistics, mathematics, machine learning, physics, psychology, and computer science.

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.

About the School/Research Groups

You will be a member of the Speech and Hearing and Natural Language Processing research groups in the School of Computer Science at the University of Sheffield and an affiliated member of the UKRI AI Centre for Doctoral Training (CDT) in Speech and Language Technologies (SLT) and their Applications. In the School of Computer Science, 99% of our research was rated in the highest two categories in REF2021 (world-leading or internationally excellent).

Funding

Full funding for 3.5 years covering Home or International tuition fees, an enhanced stipend (£24,280 tax free for 2025/26), and a research and training support grant of £2,500 pa to cover research expenses and conference attendance.

Application Process
The deadline for applications is 23:59 on 13 April 2025. Eligibility and application guidance can be found on our website: https://slt-cdt.sheffield.ac.uk/apply