The Department of Computer Science at the University of Chicago seeks qualified lecturers for the 2020/21 school year to design and teach courses in the field of computational data analysis for the Masters Program in Computer Science (http://csmasters.uchicago.edu/).
As part of its curriculum, the MPCS offers a specialization in Data Analytics that involves a rigorous course of study in foundational mathematical topics and machine learning (students in this specialization typically take the following two-course sequence: https://mpcs-courses.cs.uchicago.edu/2019-20/winter/courses/53110 and https://mpcs-courses.cs.uchicago.edu/2019-20/spring/courses/53111). The MPCS seeks to expand its offering of classes in this specialization. Topic of interest include, but are not limited to, Big Data, Data Engineering, Deep Learning, Data Visualization, and Artificial Intelligence.
Courses are held for ten weeks during each academic quarter, with the eleventh week for a final project or exam. Depending on the status of the COVID-19 crisis, lecturers may be hired to teach classes online. Courses can meet in the daytime (meeting 2-3 times a week for a total of three hours) or in the evening (meeting once per week for three hours). The exact day(s)/time(s) are determined in consultation with the lecturer.
This position is part-time and is not benefits eligible. Applicants must currently be authorized to work permanently in the U.S.
Minimum Qualifications:
A Master's degree or doctorate in Computer Science or a related field at the time of appointment, or 5 years of relevant industry experience.
Preferred Qualifications:
A PhD in Computer Science or a related field at the time of appointment, or 10 years of relevant industry experience;
Teaching experience in Computer 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.
The following materials are required:
Curriculum vitae
a cover letter detailing teaching experience and interests as well as technical experience
a list of three references
The following optional materials may be submitted:
A draft syllabus for a data-oriented class the applicant is capable of teaching
Teaching evaluations from past teaching at the university level
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The University's Statements on Diversity are at https://provost.uchicago.edu/statements-diversity.
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-1032 or email equalopportunity@uchicago.edu with their request.
Internal Number: 76365
About University of Chicago (UC)
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