Research Fellow in Experimental Sociolinguistics: Accent Bias and Domestic Abuse
Support an ESRC-funded project investigating linguistic discrimination against domestic abuse victims through experimental sociolinguistics.
Best for:Best for researchers with a PhD in sociolinguistics, psychology, or related fields, skilled in experimental design, statistical analysis (R/Python), and qualitative research methods.
Overview
This fixed-term research position at the University of Southampton’s Department of Languages, Cultures and Linguistics supports the ESRC-funded project ‘Accent Bias and Domestic Abuse Victimisation (ABDAVic)’. Led by Dr Matthew Hunt, the project explores how classed and racialised accents may influence perceptions of domestic abuse victims through two experimental stages: matched guise tests with the general public and trained support workers. The successful candidate will design and implement experiments, create auditory stimuli, analyse data using R/Python, and contribute to project outputs, including lead authorship on at least one publication. The role blends experimental design, statistical analysis, and interdisciplinary collaboration, with optional remote work.
What you'll do
- Design and implement matched guise-style experiments to investigate accent bias in domestic abuse victimisation contexts.
- Create auditory stimuli for experimental testing, including recording and editing in Praat/Audacity.
- Conduct statistical analysis using R or Python, including mixed-effects regression and data visualisation.
- Support data collection with the general public and trained domestic abuse support workers.
- Contribute to conference abstracts, presentations, and journal articles, with lead authorship on at least one publication.
- Collaborate with the project team to disseminate findings through academic and public-facing channels.
- Optionally work remotely with occasional visits to Southampton for meetings or conferences.
Requirements
Degree required: PhD in sociolinguistics, experimental social research, psychology, sociology, political science, or a related field
Language: English; proficiency required for academic work and communication
Instruction: English
Publications: Lead authorship on at least one journal article stemming from the project
- Proven expertise in experimental design, particularly matched guise experiments
- Proficiency in survey design and implementation (preferably using Qualtrics)
- Strong skills in statistical analysis using R or Python, including mixed-effects regression and data visualisation
- Experience with auditory stimuli creation (Praat or Audacity)
- Ability to contribute to academic publications with lead authorship
- No formal eligibility restrictions beyond degree requirement
- Open to applicants from diverse disciplinary backgrounds (e.g., sociology, psychology, political science)
Funding & terms
How to apply
Deadline: 2026-10-29
Applicants must submit a CV and cover letter via the university’s application portal. The application should clearly outline relevant experience in experimental design, statistical analysis, and research on language or social issues. No formal application fee is mentioned.
- CV
- Cover letter
Contact
Matthew Hunt· Principal Investigator
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