5 дней назад
Research Fellow / Associate - PRISM (NLP)
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Описание вакансии
Текст:
TL;DR
Research Fellow / Associate - PRISM (NLP): Developing computational approaches to study the rhetorical styles and influence of political influencers across US and UK election contexts with an accent on social media datasets, political communication and natural language processing. Focus on designing machine-learning and NLP methods, classifying communicative frames at scale, and producing reproducible research outputs for academic and stakeholder audiences.
Location: Manchester, United Kingdom
Company
is an academic institution supporting research, teaching and interdisciplinary collaboration.
What you will do
- Support the development of an interdisciplinary framework for identifying the rhetorical brands of online political influencers.
- Collect, clean, document and securely manage social media datasets and metadata from US and UK elections.
- Design, implement and evaluate NLP and machine-learning methods for classifying communicative frames, linguistic features and influencer styles.
- Contribute to annotation, validation and survey experiment analysis.
- Develop reproducible code and support academic publications and stakeholder-facing materials.
Requirements
- PhD or near-completion in Political Science, Media and Communication, Sociology or a related social science field.
- Strong programming and computational methods expertise using Python, R or similar languages.
- Experience with machine learning, NLP, text mining and reproducible coding practices.
- Experience analysing social media data using qualitative and quantitative methods.
- Excellent academic writing, collaboration, organisation and communication skills.
Nice to have
- Experience with transformer-based NLP models.
- Web or social media engagement experience.
- Experience with policy briefing, research server environments or data visualisation.
- Knowledge of social statistics or related academic subjects.
Culture & Benefits
- Interdisciplinary work in political communication and natural language processing.
- Collaborative environment focused on education, learning, community and open debate.
- Generous employer pension contribution.
- 29 days of annual leave plus bank holidays and Christmas closure.
- Ride-to-work and electric vehicle car schemes.
- Flexible and hybrid working arrangements are available according to university policy.
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