Instructional Professor, Physical Sciences Division
3 days left
- Full Time
The University of Chicago: Physical Sciences Division: Department of Statistics
The Department of Statistics in the Physical Sciences Division at the University of Chicago invites applications for educators of Statistics to help grow our existing program. We invite applications for a position as an Instructional Professor (open rank). The selected candidate will be appointed at the rank of Assistant Instructional Professor, Associate Instructional Professor, or Instructional Professor, depending on qualifications and educational background. The appointment will be for a term of up to five years. This is a career-track position with potential progression, competitive salary, and benefits.
We particularly seek individuals who are committed to help us continue to develop our educational mission in statistics and data science.
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.
By the time of hire candidates must have completed all requirements for the PhD in statistics or some field of mathematics or science where statistical concepts or methods play an important role. Prior college teaching experience, either as an instructor of record or as a teaching assistant, is required. Candidates who are qualified to teach undergraduate courses in one or more of the following areas are preferred: theoretical and applied statistics, data science, machine learning.
Applications must be submitted online through the University of Chicago’s Academic Jobs website: http://apply.interfolio.com/73459. Review of applications will begin on March 1, 2020 and will continue until all positions are filled.
The following materials are required:
- cover letter;
- curriculum vitae including teaching experience and publications;
- description of teaching philosophy and experience; ability to interact with a diverse group of students is valued;
- contact information for three references who can provide confidential letters of evaluation.