Georgia State University

J. Mack Robinson College of Business

Institute for Insight

The Institute for Insight at Robinson College of Business (RCB) of Georgia State University (GSU) invites applications for one tenure track faculty in Analytics at assistant professor level, effective Fall 2018 or earlier. The Institute focuses on “big data and analytics” with a special emphasis on applications of unstructured data analytics in solving business problems. Successful candidates will have an earned doctorate and a research agenda in the analysis of big data, including its computational aspects. Of particular interest are applicants with backgrounds in Text Analytics, Machine Learning, Image Analytics and related fields and a keen interest in research addressing business problems. Successful candidates will contribute toward the College’s multi-year and multi-disciplinary strategy for developing a significant big-data analytics research program with strong links to industry, including, but not limited to, work with the Institute’s labs and projects focusing on social media intelligence, legal analytics, fintech, and operations.

Minimum requirements are an earned Ph.D. in Computer Science, Statistics, Economics, or related fields from an accredited university or international equivalent, and a strong research program in analytics. Successful candidates will have a strong trajectory of future publications in widely regarded premier journals in business and related disciplines. Ideal candidates will also have teaching capabilities to teach in the College’s MS in Analytics program as well as in college-wide interdisciplinary programs in analytics. Candidates will be expected to interact with the industry in the metro Atlanta area.

The successful candidate’s home will be in the Institute for Insight at the Robinson College of Business. The mission of the Institute for Insight is to serve as a portal into big data analytics for our broad community of students, researchers, entrepreneurs, institutions and industry partners, helping each to create and leverage insight needed to build, innovate and transform their work. Institute faculty teach and participate in research projects in the Insight Lab. More information about the Institute is available at http://insight.gsu.edu and about the MS in Analytics program at http://robinson.gsu.edu/msa/.

ABOUT THE ENVIRONMENT

GSU is a leading urban research university located in the heart of Atlanta. With more than 8,000 students and more than 200 faculty members, RCB is one of the largest and most diverse business schools in the country. The college houses the Department of Computer Information Systems and Department of Risk Management and Insurance, both of which have top-10 rankings, and Robinson’s Marketing Department ranks 4th in Modeling and Quantitative Analysis in scholarly research productivity. Robinson has active research programs in the management of information technology, predictive risk analytics, marketing analytics and health IT and analytics that are relevant to this position. Salary level, course load and additional research support are competitive at the national level.

FURTHER INFORMATION AND APPLICATION PROCEDURE

Further information about the RCB is online at http://robinson.gsu.edu/. Applicants wishing to apply should register with http://academicjobsonline.org/ (the registration is free) and upload their curriculum vita, statements of research and teaching interests, recent publications or working papers, and evidence of teaching performance. Applicants are required to submit their materials via the online system. For any questions related to the position, please contact the search committee co-chairs Professor Charlotte Alexander () and Dr. Denish Shah ().

Review of applications will begin immediately and applicants will be reviewed until positions are filled. Positions are contingent on University budget approval.

Georgia State University is an Equal Opportunity Employer and does not discriminate against applicants due to race, ethnicity, gender, veterans status, or on the basis of disability or any other federal, state, or local protected class.