Position: Assistant Professor (9-month) tenure-track position

Qualifications: Candidates must demonstrate an active research program with strong potential for external funding. The ideal candidate will also have on-going and completed research that uses innovative methods for large-scale data analysis to investigate substantive research questions. The set of possible topics ranges widely. Possible research applications range from research on how business managers can improve the processes they use to plan the menu of products or services they offer or how business managers choose to market those products/services across a network of sources/locations/industry channels; research on private and public institutions that offer mental and physical health programs and services, how managers of those organizations can improve the efficacy of programs they run that seek to improve individuals' physical and mental health; and research on how individuals, couples, and households allocate time, money, and other resources when they take life-course decisions to study, marry, divorce, consume, exercise, travel, save, and retire. The successful candidate will have scholarly interests that overlap the department's multiple academic program areas.

A PhD is required in either: economics, information systems, epidemiology, demography, mathematics, or statistics.

Responsibilities: 40 percent research, 40 percent teaching, 20 percent service. We expect the successful candidate to actively pursue a research agenda; publish in high-impact journals; secure external research funding; teach four courses per year in our graduate or undergraduate programs; advise master's and Ph.D. students; help improve our curriculum; and provide service to the department, college, and the university community appropriate for rank.

Salary: Salary is negotiable and commensurate with qualifications.

Review of Applications: Review will begin as applications arrive and continue until position is filled. Applications received before December 15, 2013, will receive priority.

Effective Date: Autumn Semester 2014 (negotiable).

Applicants should send a letter of application with names of three references, CV, and up to three representative publications to: Big Data Human Science Search Committee c/o, Mark Wallace, 305 West 17th Avenue, A135 PAES Building, Columbus, OH 43210. Hard copy applications are required.
Direct inquiries to wallace.269@osu.edu.