Instructional Professor (open rank) in Data Science

The University of Chicago; Chicago (IL); In loco; USD 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

The University of Chicago invites applications for an Instructional Professor (open rank) in Data Science. Appointments may be Assistant, Associate, or Instructional Professor based on qualifications, for up to five years with renewal.

The role combines teaching (about 2 courses per quarter) with regular office hours, non-classroom duties, and ongoing professional development. Benefits eligible; SEIU bargaining agreement applies.

Competenze

• PhD in statistics, computer science, or a closely related field.
• At least one year of university-level teaching experience as instructor of record or teaching assistant.
• Preferred: training or credentials in teaching undergraduate and graduate courses in data science or machine learning.

Mansioni

• Teach an average of 2 courses per quarter (fall, winter, spring).
• Keep regular office hours and participate in non-classroom instructional duties.
• Engage in ongoing professional development and related service activities.

Conoscenze

Teaching experience

Office hours

Formazione

PhD in statistics, computer science, or related field

Descrizione del lavoro

The Data Science Institute invites applications for the position of Instructional Professor (open rank) in the area of Data Science.

The selected candidate will be appointed as Assistant Instructional Professor, Associate Instructional Professor, or Instructional Professor, depending on qualifications.

Appointments will be made in the Data Science Institute. The appointment will be for a term of up to five years, renewable.

This is a career-track position with potential progression, competitive salary, and benefits. This position is expected to begin on or around September 1, 2027. The terms and conditions of employment for this position are covered by a collective bargaining agreement between the Service Employees International Union (SEIU) and the University.

In addition to teaching (an average teaching load is 2 courses per quarter in the fall, winter, and spring quarters), the candidate will also be expected to keep regular office hours, contribute to non-classroom instructional or service duties and ongoing professional development. This position is benefits-eligible.

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.

The University of Chicago is implementing an ambitious plan for research and education in Data Science and AI, including new undergraduate and graduate academic programs and new cross-disciplinary research 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.

Topics of interest include safe and trustworthy AI, foundations and applications of artificial intelligence, world models, large language models, scientific AI, data ethics and privacy, data visualization, societal impacts of data and AI, data engineering, and scalable data and AI systems.

The Data Science Institute focuses on fundamental advances at the intersection of data science, artificial intelligence, statistics, and computing in the context of real-world and domain-specific problems.

The Committee on Data Science (codas.uchicago.edu) is the home of data science education programs.

The larger data science community at the University of Chicago includes the Committee on Computational and Applied Mathematics (cam.uchicago.edu), the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, Fermilab, and Argonne National Laboratory.

Qualifications Required

By the time of appointment, a PhD in statistics, computer science, or some field of mathematics or science where data science concepts play an important role. At least one year of university-level teaching experience, either as an instructor of record or as a teaching assistant.

Preferred

Training, credentials, or experience in teaching undergraduate and graduate courses in data science or machine learning.