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Adjunct Professor of Computer Science - MPCS/MS-ADS (Open-Rank) - 140605-3800

at University of Chicago in Chicago, Illinois, United States

Job Description

Description

The Physical Sciences Division of the University of Chicago is seeking qualified applicants for the position of part-time Adjunct Professor (open rank) to teach in the Masters Program in Computer Science (MPCS) and/or the MS in Applied Data Science (MS-ADS).

The search is open with respect to subfield, but we encourage applications from practitioners and educators in Machine Learning and Artificial Intelligence, Cloud Computing, and Computer Systems. More specifically, the MPCS has specific programmatic needs in Generative AI, Cloud Computing for Application Development, Databases, and Computer Security; the MS-ADS program has specific programmatic needs in Statistics and Machine Learning, Cloud Data Architecture for Data Science and AI, and ML and LLM Ops for model implementation and productionisation.

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. Selected candidates will have a primary appointment in one program, with an option to teach in other programs. The primary program and class(es) that selected candidates will teach during their first term will be determined as part of the interview process, and taking into consideration the candidate's background, qualifications, and preferences.

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/147661. Review of applications will begin on July 10, 2024 and continue until the position is filled.

The following materials are required:
  • Cover letter detailing teaching experience and interests
  • Curriculum vitae
  • A list of three references, include 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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Job Posting: 11973629

Posted On: Jun 13, 2024

Updated On: Jul 13, 2024

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