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

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Machine Learning Professor information

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.

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.
Infographic showing various Machine Learning Professor job openings in Chicago, IL as of May 2026, with employment types broken down into 1% As Needed, 75% Full Time, and 24% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Instructional Professors (Open Rank)- Master of Science in Precision Health #FMD017

Instructional Professors (Open Rank)- Master of Science in Precision Health #FMD017

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Posted 6 days ago


University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

110th of 535 rated colleges and universities


Job description

Description
The University of Chicago's Department of Family Medicine and the Institute for Population and Precision Health is accepting applications for Instructional Professors (open rank) in the Master of Science in Precision Health program (MsPH, https://precisionhealth.bsd.uchicago.edu). The Master of Science in Precision Health (MsPH) program at the University of Chicago is the first of its kind, applying emerging technologies and research methodologies in precision medicine in the context of a broader population health perspective to improve disease prevention and health promotion while also addressing health disparities. The MsPH's bold translational agenda in education and research aims to transform clinical practice through the application of big data, computational science, genetics, biology, policy, ethics, societal factors and other determinants of health to better understand precision techniques for preventing disease, promoting wellness, and developing better treatment options that improve patient health and sustain wellness.
Appointees will teach 4-6 courses per academic year in addition to substantial mentoring and service responsibilities. Appointees will be responsible for developing courses in areas such as clinical epidemiology, biostatistics, machine learning and AI, and genomics. Additional courses can be developed based on the expertise and interest of the appointee, in consultation with the program's faculty director. Appointees will also advise students on quarterly course selection and provide broad academic and professional guidance to a cohort of master's students in weekly office hours. They will also closely advise students and alumni who are applying to postgraduate programs. Other non-classroom duties include participating in admissions and recruiting as well as other co-curricular academic programming. They hire and manage teaching assistants, contribute to program operations, and participate in pedagogy workshops. This is a full-time, career-track teaching position. The initial three-year appointment will begin in Academic Year 2025-2026 and is renewable with opportunity for promotion. Academic rank and compensation (including a generous package of fringe benefits) are dependent upon qualifications. 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.
Prior to the start of employment, qualified applicants must have: 1) completed a PhD in biomedical sciences, bioinformatics, data science or related fields, or an MD with advanced training and 2) have prior University level teaching experience in relevant course(s).
To be considered, those interested must apply through the University of Chicago's Recruitment job board, which uses Interfolio to accept applications: https://apply.interfolio.com/169716. Applicants are required to upload the following materials with their application: 1) a cover letter; 2) a curriculum vitae including bibliography; 3) a teaching statement; 4) a syllabus from a course taught as primary instructor; 5) teaching evaluations from the past two years; and 6) names and contact information for three references. Review of applications will end when the positions are filled.
For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp.

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