We're seeking a motivated intern to join our team in developing an innovative AI system that automates the literature review writing process. The intern will help create and implement an agentic workflow using Large Language Models (LLMs) to streamline academic research.
Key Responsibilities:
- Design and develop specialized AI agents for different aspects of literature review writing
- Implement and test various LLM architectures for specific tasks (planning, research, writing, revision)
- Integrate with academic databases (ScienceDirect, Scopus, SSRN) for data collection
- Collaborate with Subject Matter Experts to evaluate and improve system performance
- Document development progress and technical specifications
Required Qualifications:
- Currently pursuing a degree in Computer Science, Data Science, or related field
- Strong programming skills, preferably in Python
- Understanding of NLP and machine learning concepts
- Familiarity with LLMs and prompt engineering
- Experience with API integrations
Preferred Qualifications:
- Knowledge of academic research methodologies
- Experience with scientific writing
- Familiarity with academic databases
- Background in agent-based systems
This internship offers hands-on experience with cutting-edge AI technology and access to Elsevier's extensive computational resources and databases.
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