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Machine Learning Professor Jobs in Chicago, IL (NOW HIRING)

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Machine Learning Professor information

What does a machine learning professor do?

A Machine Learning Professor teaches university-level courses on machine learning, data science, and related topics. They conduct original research in the field, often publishing their findings in academic journals and presenting at conferences. In addition to lecturing, they mentor students, supervise theses or dissertations, and may collaborate with industry partners on research projects. Their work helps advance the understanding and applications of machine learning.

What are the key skills and qualifications needed to thrive as a machine learning professor, and why are they important?

To thrive as a Machine Learning Professor, you need deep expertise in machine learning algorithms, mathematics, and data science, typically supported by a Ph.D. in computer science or a related field. Familiarity with programming languages like Python and R, as well as tools such as TensorFlow, PyTorch, and academic research platforms, is essential. Exceptional communication, mentorship abilities, and enthusiasm for teaching help inspire and guide students and peers. These skills ensure effective research output, high-quality teaching, and the development of future leaders in the field.

How does a machine learning professor typically balance research, teaching, and mentorship responsibilities?

Machine Learning Professors usually split their time between conducting original research, teaching undergraduate and graduate courses, and mentoring students. Balancing these responsibilities can be challenging, particularly when managing multiple research projects and supervising student theses. Professors often collaborate with industry partners and other academic departments, which enhances research opportunities but also adds to their workload. Effective time management and prioritization are key to thriving in this dynamic environment, and universities often provide some flexibility in teaching loads or research support to help maintain this balance.
Machine Learning Professor jobs near you
Infographic showing various Machine Learning Professor job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Assistant Professor of Computer Science

Chicago, IL • On-site

Chicago State University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Chicago State Universityexternal

$80K - $90K/yr

Full-time

Medical, Dental, Life

Re-posted 13 days ago

Job description

Posting Details
Position Information
Posting Number
F260040P
Open Date
02/01/2026
Close Date
Faculty Rank
Assistant Professor
Title
Assistant Professor of Computer Science
Salary
$80,000 - $90,000 Annual
Benefits
This position is eligible for health, dental, life insurance and other benefits through Chicago State University. Click here for a complete list of benefits: https://csu.edu/humanresources/benefits.htm
Is Tenured/ Tenure Track
Yes
Full-time/ Part-time
Full-time
Job Description Summary
The Department of Computing, Information and Mathematical Sciences, and Technology (CIMST) at Chicago State University invites applications for a tenure-track Assistant Professor position in Computer Science beginning Fall 2026.
CIMST is a vibrant and diverse academic unit that emphasizes the intersections of people, computing, information, and technology. The department offers Bachelor of Science (BS) and Master of Science (MS) degrees in Computer Science. Our faculty and students represent a wide range of backgrounds, contributing to a dynamic and inclusive academic community.
Responsibilities
Faculty members are expected to contribute to teaching, research, and service, as outlined in the collective bargaining agreement.
  • Teaching: Teach up to 24 credit-unit equivalents per year; develop syllabi, instructional materials, and innovative course content; advise students; supervise graduate theses and research projects; engage in professional development and participate in assessment activities tied to accreditation and program evaluation.
  • Research: Conduct research in computer science or related fields, publish in peer-reviewed venues, seek external funding, and present work at academic and professional conferences.
  • Service: Participate actively in departmental, college, university, professional, and community committees and initiatives, assuming leadership roles as appropriate over time.

Appointment Details
  • Rank: Assistant Professor (Tenure-Track)
  • Term: Full-time, 9-month appointment
  • Start Date: Fall 2026

All faculty positions are governed by the university's collective bargaining agreement, which ensures clear guidelines for hiring, evaluation, promotion, tenure, and professional responsibilities.
The primary responsibilities of this position include teaching and related academic activities throughout the academic year. Faculty are also expected to uphold the University's commitment to academic excellence by fostering an engaging and inclusive learning environment that supports, values, and challenges students from diverse ethnic, religious, gender, and socioeconomic backgrounds.
Required Education
  • Applicants must hold a Ph.D. in Computer Science or a closely related field from an accredited institution.
  • Evidence of or potential for scholarly research and publications in machine learning, data science, cybersecurity, or a related discipline.
  • Demonstrate excellence in teaching and advising undergraduate and graduate students and mentoring graduate research.
  • Strong communication and interpersonal skills.
  • Commitment to supporting diverse student populations and fostering an inclusive learning environment.

Required Knowledge, Skills and Abilities
Ability and commitment to actively contribute to departmental, college, and university initiatives through high-quality teaching, scholarly research, and professional service.
Preferred Qualifications
  • Teaching and research experience in Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, and Computer Networks.
  • Evidence of successful teaching experience in higher education.
  • Demonstrated ability or interest in mentoring students in research or academic success.
  • Record of or potential for grant writing and external funding.
  • Interest in contributing to departmental service, curriculum development, and program assessment.
  • Experience working at a Predominantly Black Institution (PBI), HBCU, or other minority-serving institution is highly desirable.
  • Prior experience delivering undergraduate or graduate courses online or in hybrid formats.
  • amiliarity with learning management systems (LMS) such as Brightspace.

Special Requirements
Doctoral and master's transcripts are required.

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