Research Associate in Large Language Models for Biodiversity Data Extraction
University of Cambridge
Research Associate role developing large-language-model methods for biodiversity data extraction at the University of Cambridge.
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Vacancy terms
- Career stage
- Research associate
- Employment type
- Not stated
- Contract
- Not stated
- Contract ends
- Not stated
- Original contract term
- Fixed-term appointment for up to 3 years.
- Schedule
- Not stated
- Workplace
- Not stated
- FTE
- Not stated
- Salary
- £37,694-£46,049
- Department or school
- Not stated
- Posted
- Not stated
Responsibilities
- Develop and evaluate LLM-based data extraction methods
- Work with biodiversity research data
Qualifications and requirements
Qualifications
- PhD in computer science, machine learning, artificial intelligence, bioinformatics, computational biology, or a related field
- Strong quantitative background
- Substantial experience with large language models, NLP, information extraction, retrieval-augmented generation, or agentic AI
Requirements
- Develop large-language-model approaches for biodiversity data extraction
Preferred qualifications
- Experience with ecology or biodiversity data
- Geospatial methods
- Scientific text mining
Documents and steps
Documents
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Steps
Use the Apply button on the official Cambridge vacancy page to apply online through the University recruitment system.
Sources behind this vacancy
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Research Associate in Large Language Models for Biodiversity Data Extraction
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