Summer Academy Computer Science Professor (University of Chicago)

Thrive Scholars
University of Chicago

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The Program
As rising high school seniors and rising college first-years, students attend our six-week Summer Academy. At its core, Summer Academy is an academic boot camp where students learn the quantitative and writing skills they need to excel in college and in their preferred majors, with additional time devoted to personal and professional development topics. Summer Academy is a residential program held on the campus of the University of Chicago. This year, we expect to serve 200+ students and are currently planning for an in-person program. We will also continue to monitor COVID developments in order to determine whether a residential program is safe and feasible, or if we will need to pivot to a virtual program as we did in 2020 and 2021. 

The Position
We are seeking a Computer Science Professor to teach an elective coding course (emphasis in Python) of approximately 20-25 students, at the University of Chicago from June 29 to August 9, focused on helping our students further develop the quantitative and problem solving skills they will need to excel in a range of courses at a selective college. The course will meet for 4 hours per week, and will include a combination of professor-led instruction and opportunities for students to engage in hands-on and collaborative work.

The Computer Science Professor will be supported by one Assistant Instructor, who may be an undergraduate student, graduate student or college faculty that the Professor selects, with approval from Thrive Scholars staff. The Professor and Assistant Instructor are expected to be present for the entirety of the course time each day, and available for a minimum of 2 hours of office hours during the week.

The Professor will be expected to participate in an orientation and in course planning before the program begins.

Housing: Room and board will be provided, and covered by Thrive Scholars, for non-local faculty and assistant instructors.

The Ideal Candidate:

  • Experience teaching coding-based course in a selective college setting required
  • Experience teaching and engaging high school students preferred
  • Passion for and experience in working with a diverse, underserved community of high school and rising college students

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