POST-DOCTORAL POSITIONS in DATA SCIENCE AND DIGITAL ANALYTICS

Postdoctoral positions in data science and digital analytics with focus on information systems and statistics, are available under the joint supervision of Dr. Paul Pavlou and Dr. Edoardo Airoldi.

We are seeking outstanding postdoctoral candidates with a strong interdisciplinary background across information systems and other quantitative business disciplines, economics and game theory, statistics and computer science. Potential projects include: (A) design and analysis of digital experiments involving network data; (B) sampling, modeling and inference with social network data; (C) confirmatory and causal analyses in complex observational studies, with a time, space, and/or network component; (D) financial technology (FinTech), crowdfunding, and emerging technologies.

The ideal project for this position is to develop and apply new quantitative approaches to important problems. Areas of special interest include social media platforms; social and economic networks; discrete choice models, equilibrium models, and co-evolution models; MOOCs and online education; FinTech and other emerging technologies.

More details on recent research is available online:

Preprints and publications by Paul Pavlou

Preprints and publications by Edoardo Airoldi

This joint research effort offers a highly energetic environment for working on a wide range of challenging methodological problems in data science, information systems, statistics, and other areas. We work closely with collaborators at other universities (e.g., Columbia, MIT, Stanford, the Broad Institute, University of Chicago, Yale) and industry (e.g., Amazon, Google, LinkedIn, Microsoft, and Uber) to identify and address problems for which a solution would have a substantial impact in the world. Postdocs will contribute to the data science initiative currently in place at Temple University, primarily based in the Fox School of Business.

The ideal candidates will have deep knowledge of one or more areas of statistics and machine learning, game theory, and a strong track record of research in quantitative methods, with interests toward applications in business disciplines, computational social science, or in the computer and information sciences, evidenced by high-quality publications; be able to communicate and collaborate with student/postdocs and external PIs; and be able to carry out research and develop ideas independently. Programming skills (e.g., SQL, R, Python) are also required.

Salary and benefits are competitive and commensurate with experience. Review of applications will begin immediately and continue until positions are filled.

HOW TO APPLY

Applications should include: (a) cover letter; (b) full curriculum vitae; (c) brief research statement; (d) evidence of excellence in research; (e) the names and contact info of three references. Please send all materials to: Dr. Paul A. Pavlou at pavlou@temple.edu and Dr. Edoardo M. Airoldi at airoldi@fas.harvard.edu. Please note that we only review electronic submissions.

BACKGROUND

The Data Science Institute’s mission is to explore how large-scale data can transform organizations, markets, government, the private and public sector, and society in general. The Data Science Institute aims to advance scientific inquiry and academic scholarship on data sciences and data analytics and serve as a bridge for translational science between academia, industry, and society with real-world applications.

The Fox School’s mission statement includes a focus on the driving forces of the economy: Information Technology (IT), globalization, and Innovation/Entrepreneurship.

Temple University of the Pennsylvania Commonwealth System of Higher Education serves over 40,000 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, and a network of more than 51,000 alumni, the Fox School of Business is one of the largest, most comprehensive business schools in the nation. Fox offers degrees at the Bachelors and Masters levels, along with two Doctoral Programs – a traditional PhD, and an Executive Doctoral in Business Administration, serving business, industry, and academia in traditional and specialized areas 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. Additional information is available from the university, college, and department websites at: http://www.temple.edu, http://www.fox.temple.edu, and https://www.fox.temple.edu/institutes-and-centers/data-science.

Temple

Harvard

NSF