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Senior Instructional Professor (open rank) Data Science

Company Information

Physical Sciences Division: Data Science

Duties and Responsibilities

Description

The Data Science Institute at the University of Chicago invites applications for a Senior Instructional Professor rank position in the area of Data Science. The selected candidate will be appointed as Assistant Senior Instructional Professor, Associate Senior Instructional Professor, or Senior Instructional Professor, with rank determined by qualifications. The appointment will be for a term of up to five years, renewable. This is a career-track position with competitive salary and benefits.

The successful candidate will be responsible, in consultation with faculty leadership, for leading and directing the new Masters in Data Science program. Duties will include teaching, developing new curriculum, admissions, advising, and managing non-student employees in the program.

The University of Chicago is implementing an ambitious plan for research and education in Data Science including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Committee on Data Science (codas.uchicago.edu) is the home for data science education programs. The Data Science Institute (datascience.uchicago.edu) is a collaboration among the Department of Computer Science (cs.uchicago.edu), the Department of Statistics (stat.uchicago.edu), and other units on campus that focuses on research that advances fundamental theories at the intersection of data science, artificial intelligence, statistics, and computing in the context of real world and domain-specific problems. The larger data science community at the University of Chicago includes the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, and Argonne National Laboratory.

Position Qualifications

Qualifications

Required:

A Ph.D. in Data Science, Statistics, Computer Science, or a related field.
At least two years’ experience teaching at the university level as an instructor of record.

Experience in management of academic programs, personnel, and budgets.

Preferred:

Demonstrable broad knowledge of the field of data science.

Training and experience to teach courses and develop curriculum in one or more of the following areas: data science, machine learning, artificial intelligence, and/or computer science.