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Research Associate

Language and Linguistic Science
Based at
University of York - Heslington Campus
Hours of work
Contract status
Fixed term
32,817 - 33,797 per year
Interview Date
10 September 2021
Posted Date
Apply by
Job Reference

Role Description


The Department of Language and Linguistic Science is seeking to appoint a Research Associate to work with Dr Vincent Hughes (Principal Investigator) and Prof Carmen Llamas (Co-investigator), in collaboration with the Digital Creativity Labs, on their AHRC-funded project ‘Humans and Machines: Novel Methods for Testing Speaker Recognition Performance’. The project will examine the speaker recognition performance of human listeners and machines (automatic speaker recognition systems), comparing the conditions under which the different methods outperform one another. As part of the collaboration with the Digital Creativity Labs, the project will create a novel computer game to elicit responses from human participants that are equivalent to the type of statistical responses that machines produce.

The successful applicant will start on 1 November 2021 or as soon as possible thereafter. The post is full-time and fixed term for 13 months.


You will initially be required to work through existing corpora to choose appropriate speech samples to use as stimuli within the experiments and to collaborate with the Digital Creativity Labs, under the supervision of Dr Vincent Hughes and Prof Carmen Llamas, to help design the computer game. Once the game has been developed, you will use it to run in-person and online experiments to test human speaker recognition performance. You will also process the same stimuli using a commercial automatic speaker recognition system available at York (training will be provided where necessary), before analysing both the human and machine results using established statistical methods. You will also collaborate with the PI and CI on dissemination and impact activities.

Skills, Experience & Qualification needed

  • PhD in Linguistics or a related discipline, or equivalent experience
  • Ability to arrange and run human experiments both in-person and online
  • Experience of conducting quantitative research in forensic speech science, phonetics or sociolinguistics
  • Ability to apply established statistical methods from forensic science
  • Excellent communication skills to engage effectively with a range of audiences

Interview date: September 2021

For informal enquiries: please contact the PI, Dr Vincent Hughes, at

The University strives to be diverse and inclusive  – a place where we can ALL be ourselves.

We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University. 

We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork

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