CareerBuilder is committed to making human capital data meaningful to society. The potential for new technologies and big data insights to solve real-world challenges in job search, talent acquisition and human resources is evolving daily. To achieve our mission, we strive to work with creative, ambitious academic researchers who share our passion for empowering employment.
Leveraging CareerBuilder’s proprietary resume and job posting datasets, ideal ARC projects explore research areas of mutual interest and result in the creation of cutting-edge business applications or findings that further our understanding of modern labor markets and talent acquisition best practices. Selected faculty participants have the opportunity to access our industry-level datasets for novel research and visit CareerBuilder campuses to promote their work and further collaborative efforts. Grants of up to $10,000 (plus travel reimbursements) will be awarded to winning research proposals.
The program is currently accepting proposals in several areas of interest, including, but not limited to, the following:
|Data Science||Machine Learning||Semantic Web||Natural Language Processing|
|Information Retrieval||Web Mining and Search||Mobile Computing||Model-based Software Development|
|Recommender Systems||Distributed Computing||Big Data Analytics||Big Data Infrastructure|
|Graph Analytics||Security and Privacy||Cloud Computing||Software Engineering|
Collaborators must be current faculty members at an accredited university in the United States. Full-time students cannot submit proposals, but may be listed as participants. Proposals have to be submitted in collaboration with a CareerBuilder Technology employee and can be submitted at any time. Project durations must be a maximum of six months, but may be extended upon review and a resubmission of proposal.
To begin the proposal process or request more information about the ARC program, CareerBuilder and its proprietary data, please submit inquiries to: firstname.lastname@example.org.