Connect with ProQuest
Join Our Team: Be Extraordinary
ProQuest’s Extraordinary Internship Program is designed to provide students with challenging projects and real-world learning opportunities.
What makes this internship so Extraordinary?
Interns will partner on a project and upon successful completion, will be evaluated for a full-time job offer following graduation!
As a leading technology provider, ProQuest drives better outcomes for researchers and greater efficiency for the libraries and organizations that serve them. The Extraordinary Internship Program encompasses:
- Developing real-life products
- Using your academic experience in a professional environment
- Exploring career paths
- Experiencing the ProQuest culture
- Challenging your technical skills
- Growing your professional presence
- Building a powerful resume
- Shaping your professional network
- Working for a purpose-driven organization
See below for examples of some of the exciting projects that were completed during the summer of 2020.
Content Acquisition System for Libraries
Sponsored by Jay Nayegandhi, Director of Technology Rialto is a ground-breaking marketplace enabling libraries to acquire content from a variety of publishers and platforms. We need a talented, innovative student to join the team responsible for delivering search and recommender functionality for this product. This project will Require working knowledge of Python (NumPy, SciPy, Pandas), and coursework or experience in machine learning, natural language processing, data mining, search, or recommender systems.
Discovery Service Improvements using OCR and AI
Sponsored by Vinay Bharadwaj, VP of Technology & Joseph Wyrembelski, Director of Technology ProQuest’s collections include a great many works preserved on microfilm. We’ll be working on a project to mine references using optical character recognition; document associations between the works in a graph database; and develop artificial intelligence to deliver more relevant recommendations to our users.
Platform Services Team Internship
AWS Billing Project
Sponsored by Andy Schmitt, VP of Enterprise Systems The technology team at ProQuest uses many Amazon Web Service (AWS) products. Each month, the team reviews usage and cost data. We have an opportunity to use other AWS tools such as Amazon Machine Learning (ML) and QuickSight to improve our monthly review process. By helping to visualize, analyze and predict usage data, we are hopeful that we will be able to better identify trends and anomalies. Anticipated Technologies to be used: AWS Lambda AWS Athena AWS Redshift AWS QuickSight Spark Python Java