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Senior Instructional Professor (open rank) in Data Science
The University of Chicago is an urban research university that has driven new ways of thinking since 1890. Our commitment to free and open inquiry draws inspired scholars to our global campuses, where ideas are born that challenge and change the world. We empower individuals to challenge conventional thinking in pursuit of original ideas. Students in the College develop critical, analytic, and writing skills in our rigorous, interdisciplinary core curriculum. Through graduate programs, students test their ideas with UChicago scholars, and become the next generation of leaders in academia, industry, nonprofits, and government. UChicago research has led to such breakthroughs as discovering the link between cancer and genetics, establishing revolutionary theories of economics, and developing tools to produce reliably excellent urban schooling. We generate new insights for the benefit of present and future generations with our national and affiliated laboratories: Argonne National Laboratory, Fermi National Accelerator Laboratory, and the Marine Biological Laboratory in Woods Hole, Massachusetts. The University of Chicago is enriched by the city we call home. In partnership with our neighbors, we invest in Chicago's mid-South Side across such areas as health, education, economic growth, and the arts. Together with our medical center, we are the largest private employer on the South Side. In all we do, we are driven to dig deeper, push further, and ask bigger questions—and to leverage our knowledge to enrich all human life. Our diverse and creative students and alumni drive innovation, lead international conversations, and make masterpieces. Alumni and faculty, lecturers and postdocs go on to become Nobel laureates, CEOs, university presidents, attorneys general, literary giants, and astronauts.
The University of Chicago invites applications for a Senior Instructional Professor position in the area of Data Science. The selected candidate will be appointed as Assistant Senior Instructional Professor, Associate Senior Instructional Professor, or Senior Instructional Professor, with rank determined by qualifications and years of experience in a similar role. The appointment will be for a term of up to five years, renewable. This is a career-track position with competitive salary and benefits.
The University of Chicago is initiating an ambitious plan for research and education in Data Science including new academic programs at the undergraduate level. The initiative is a collaboration among the Department of Computer Science, the Department of Statistics, and other units on campus. We particularly seek individuals who can help us fulfil our educational objectives in data science and who can direct our minor and major undergraduate programs. The person hired will teach in the Data Science program. In addition, in consultation with faculty leadership, the person hired will be responsible for leading the design, development, implementation, and academic administration of the undergraduate curriculum in Data Science; supervising other teaching personnel; and providing academic and career advice to students.
Appointments will be made in either department, jointly between Statistics and Computer Science, or jointly with another department in the University.
The Departments of Computer Science (cs.uchicago.edu) and Statistics (stat.uchicago.edu) at University of Chicago are home to a diverse community of educators and researchers focused on advancing the foundations of statistics and computing, and driving their most advanced applications. The larger data science community includes the Center for Data and Applied Computing, the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, the Mansueto Institute for Urban Innovation and Argonne National Laboratory.
A Ph.D. in Statistics, Computer Science, or a related field; two years’ experience teaching in a selective college or university as an instructor of record; and experience in management of academic programs, personnel, and budgets are required.
Preference will be given to candidates whose training and experience make them exceptionally qualified to teach undergraduate courses and develop curriculum in one or more of the following areas: data science, machine learning, artificial intelligence, and applied statistics.
The following materials are required:
statement of teaching philosophy and curricular development experience; ability to interact with a diverse group of students is valued;
syllabi of courses you have designed and taught;
description of experience in managing personnel, budgets, and academic programs;
contact information for three references who can provide confidential letters of evaluation.
The following materials are optional:
Evidence of successful management of programs previously (or evidence of potential to do so)