3 days left
- Part Time
The University of Chicago: Physical Sciences Division: Department of Computer Science
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.
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.
- 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