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Probability Theory Instructor Jobs (NOW HIRING)

Adjunct instructors at COTK College are therefore teaching courses that support students in an ... including probability theory, linear programming, algorithms, inventory models, PERT/CPM ...

Adjunct instructors at COTK College are therefore teaching courses that support students in an ... including probability theory, linear programming, algorithms, inventory models, PERT/CPM ...

AMT INSTRUCTOR

Inglewood, CA · On-site

$37.86 - $42/hr

Administer and grade lab projects and theory exams required for the course of instruction assigned ... Ability to work with mathematical concepts such as probability and statistical inference ...

Administer and grade lab projects and theory exams required for the course of instruction assigned ... Ability to work with mathematical concepts such as probability and statistical inference ...

AMT INSTRUCTOR

Tulsa, OK · On-site

$12.50 - $16.25/hr

Administer and grad lab projects and theory exams required for the course of instruction assigned ... Ability to work with mathematical concepts such as probability and statistical inference ...

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How much do probability theory instructor jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for probability theory instructor in the United States is $18.17, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.91 per hour, depending on experience, location, and employer.

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Infographic showing various Probability Theory Instructor job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 53% Full Time, 42% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, and 11% Remote job distribution, with an average salary of $37,795 per year, or $18.2 per hour.

William H. Kruskal Instructor of Statistics

Chicago, IL • On-site

The University of Chicago
Colleges, Universities, and Professional Schools • 10K+ employees

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago


University Of Chicago rating

8.3

Company rating: 8.3 out of 10

Based on 48 frontline employees who took The Breakroom Quiz


Job description

Description
The University of Chicago Department of Statistics invites applications for the position of William H. Kruskal Instructor. We seek recent or expected Ph.D. graduates doing advanced research with a connection to statistical theory, methodology and applications, probability theory, machine learning, or data science. Kruskal Instructor responsibilities include engagement in independent research and teaching up to three quarter-long courses per year in statistics or related fields. The appointment is for a term of up to three years.
The University of Chicago has the highest standards for scholarship and academic quality, is dedicated to fundamental research, and has an inherently inter-disciplinary structure that is very supportive of newly emerging research opportunities.
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.
Qualifications
Required: Completion of all requirements for the Ph.D. in statistics, mathematics, computer science, or a related field by the time of hire.
Preferred: Research interests related to those of faculty in the Department of Statistics https://stat.uchicago.edu/people/#faculty.
Application Instructions
Applications must be submitted online through the University of Chicago's Academic Jobs website: apply.interfolio.com/192259. Review of applications will begin on November 1, 2026 and will continue until all positions are filled.
The following materials are required:
  • cover letter;
  • curriculum vitae including a list of publications;
  • statement describing past and current research accomplishments and outlining future research plans;
  • teaching statement;
  • three confidential letters of reference, at least one of which addresses teaching ability.

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