The Fox School of Business at Temple University invites applications for three open rank faculty positions in Data Sciences beginning in fall 2017. We prefer senior candidates with an established record of scholarship under the broader rubric of data science, data analytics, and business analytics and who have the demonstrated ability to publish in top journals and obtain competitive external grants. Candidates may come from different backgrounds, such as statistics, information systems, computer science, marketing science, operations management, econometrics, or related data science fields, but preference will be given to candidates with an inter-disciplinary focus. Candidates should have excellent communication skills, and they should be able work with other faculty, PhD students, and industry partners on cutting-edge topics.
These three positions are part of the broader efforts of the Fox School of Business to lead the “Data Science” initiative under the umbrella of the Big Data Institute, housed in the Fox School. The Big Data Institute aims to advance scientific inquiry and academic scholarship on data sciences and data analytics, and to serve as a bridge for translational science between academia, industry, and society with real-world applications. The broader goal of the “Data Science” initiative at Temple
University is to explore how large-scale data can inform and transform organizations, markets, government, and society in general.
Applications should include:
- cover letter
- full curriculum vitae
- a brief statement of research interests
- evidence of excellence in research
- the names and contact info of three references
Please send all materials to: Dr. Paul A. Pavlou at email@example.com. We only review electronic submissions; please do not send paper applications.
Salary is competitive and commensurate with rank and qualifications. Review of applications will begin immediately and continue until all positions are filled. The positions are subject to final budgetary approval.
The Fox School mission statement includes a focus on the driving forces of the economy: Information Technology (IT), globalization, and Innovation/Entrepreneurship. The Fox School programs are among the best in the world and are highly ranked by the Financial Times, The Economist, U.S. News and World Report, Forbes, Princeton Review, and Computerworld.
In their most-recent rankings:
For more details, please visit: Fox Rankings
Temple University of the Pennsylvania Commonwealth System of Higher Education serves over 39,000 students around the globe, and is one of the three major state-related, research universities in Pennsylvania. Established in 1918, and with over 8,500 students and more than 200 full-time faculty, the Fox School of Business is one of the largest, most comprehensive business schools in the region and in the nation, offering Bachelors, Masters, PhD, and Executive DBA Programs in traditional and specialized areas at urban and suburban campuses in the Philadelphia region and worldwide.
Philadelphia is the fifth largest city in the United States and is a major cultural center with a high concentration of dining and other attractions, as well as easy international access. Housing and living costs in Philadelphia are among the lowest of major U.S. cities. Philadelphia also has a significant presence of IT, financial services, pharmaceutical and other industries, providing opportunities for interaction with businesses and research.
Temple University is an Equal Opportunity/Affirmative Action Employer and specifically invites and encourages applications from women and minorities.
Temple University's Annual Security and Fire Safety Report contains statistics, policies, and procedures related to campus safety and can be found at: www.temple.edu/safety/asfr/. You may request a copy of the report by calling Temple University’s Campus Safety Services at 215-204-7900.
Additional information is available from the university, college, and department websites at: http://www.temple.edu, http://www.fox.temple.edu, and www.fox.temple.edu/bigdata.