University of Sheffield

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Research Associate on AI for Scientometrics @ University of Sheffield

Sheffield, HybridHybridContract
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About this role

Job description:

We have an exciting opportunity for a 12-month postdoctoral research position on the ESRC-funded metascience project “Rigour Hygiene Indicators for Research Assessment”. You will work with Dr Xiaorui Jiang as part of a team of researchers developing an indicator that determines whether a research body reports statistically significant results more often than would be plausible given typical study sizes. You will support the technical delivery of an automated natural language processing pipeline for extracting statistical metrics and study design features from full texts. This includes developing and maintaining the automated full‑text processing workflow, implementing extraction methods, and supporting the integration of structured data into the indicator pipeline. This role requires specialist expertise in computational text processing, natural language processing and large language models.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more.

Find out more at sheffield.ac.uk/jobs/benefits and join us to become part of something special.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to the greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

Skills

Artificial IntelligenceAcademic or ResearchInformation SystemsHigher EducationAcademicComputer SciencesComputer Science

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