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Senior Data Engineer

Chicago, IL

$160K - $220K/yr

Maintain flexibility with availability during evening hours What we're looking for * Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field * 5+ years of ...

Metropolis

Senior Data Engineer

Chicago, IL

$160K - $220K/yr

Maintain flexibility with availability during evening hours What we're looking for * Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field * 5+ years of ...

Metropolis

Senior Data Engineer

Chicago, IL · On-site

$160K - $220K/yr

Maintain flexibility with availability during evening hours What we're looking for * Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field * 5+ years of ...

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Adjunct Professor of Computer Science - MPCS (Open-Rank)

Adjunct Professor of Computer Science - MPCS (Open-Rank)

The University of Chicago

Chicago, IL • On-site

Part-time

Re-posted 17 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

134th of 553 rated colleges and universities

Job description

Description
The Department of Computer Science at the University of Chicago is seeking qualified applicants for the position of part-time Adjunct Professor (open rank) to teach in its Masters Program in Computer Science (MPCS, https://masters.cs.uchicago.edu).
The search is open with respect to subfield, but we encourage applications from practitioners and educators in the fields of Machine Learning and Artificial Intelligence, Computer Systems. More specifically, the MPCS has specific programmatic needs in Generative AI, High-Performance Computing, and Computer Security.
Selected candidates will be appointed as Adjunct Assistant Professor, Adjunct Associate Professor, or Adjunct Professor, depending on qualifications. Adjunct faculty are appointed to an initial one-year term, with possibility of renewal to a three or five year term, and are typically expected to teach at least one course per academic year.
This position is part-time and is not benefits-eligible. Compensation is paid on a per-course basis in the teaching quarter(s). Applicants must currently be authorized to work in the U.S.
Courses are held for nine weeks during each academic quarter, with the tenth week for a final project or exam. Instruction is expected to be primarily in person, with some limited opportunities to offer remote or hybrid courses. Courses can meet in the daytime (meeting 2-3 times a week for a total of up to three hours) or in the evening (meeting once per week for up to three hours). The exact day(s)/time(s) are determined in consultation with the adjunct faculty member.
While university-level teaching experience is preferred, it is not strictly required. Successful applicants without university-level teaching experience will receive coaching and mentoring from more senior instructors before and during a new hire's first course.
Qualifications
Minimum Qualifications:
  • One of the following:
    • A doctorate in Computer Science, Data Science, or a related field at the time of appointment
    • A masters degree and 4 years of relevant professional experience.
    • A bachelor's degree and 8 years of relevant professional experience.

Preferred Qualifications:
  • Teaching experience in Computer Science, Data Science, or a related field at the undergraduate or graduate level, as either an instructor of record or a teaching assistant.
  • Work experience in a computing-related industry.

Application Instructions
Applications must be submitted online through the University of Chicago Jobs website: apply.interfolio.com/170816. Review of applications will begin on September 1, 2025 and continue until the position is filled.
The following materials are required:
  • Cover letter detailing teaching experience (if any) and interests
  • Curriculum vitae
  • A list of three references, including name, title, employer/school and email address

The following optional materials may be submitted:
  • Sample syllabus for a class the applicant has taught before, or would be interested in teaching
  • Teaching evaluations from past teaching at the university level

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