Assistant or Associate Professor in Computational Science
: Job Details :

Assistant or Associate Professor in Computational Science

Candidates are expected to have the following:

Strong interests in public policy, ideally indicating interests or participation in public policy administration, design, implementation, evaluation, and/or how governments use computational social science methods in public policy.

Expertise in computational social science methods such as machine learning, text as data, spatial data, computation using large-scale data, network analysis, and data visualization.

Completion of a Ph.D. in economics, public policy, political science, sociology, statistics, information science, computer science, or a related field by August 1, 2025.

The person hired in this search will be expected to do research at the intersection of data science and public policy and teach courses in Python and/or R for McCourt's Data Science for Public Policy (DSPP) program. The DSPP program is a two-year MS degree program that trains students to use modern computing power to understand important issues in public policy. DSPP courses include topics such as programming, machine learning, probability and statistics, data visualization, databases, and data infrastructure.

The projected base salary range is Assistant: $103,800-$182,000, Associate: $118,700 – $210,000. Compensation is determined by a number of factors including, but not limited to, the candidate's individual qualifications, experience, education, skills, and certifications, as well as the University's business needs and external factors.

To apply, applicants should submit a cover letter, CV, teaching statement, writing sample, and three letters of recommendation by 11:59pm EST on Friday November 1, 2024.

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