Data Science InternshipIntern

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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Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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