Assistant Professor - Computational Sciences

Assistant Professor, Computer Science

Description

The Department of Computer Science in the Physical Sciences Division at the University of Chicago invites applications for tenure-track faculty positions at the rank of Assistant Professor. The search is open with respect to subfield, but we encourage applications from investigators in AI / Machine Learning, Natural Language Processing, Robotics, Human-Computer Interaction, Quantum Computing, and Security.

Members of the faculty in our department are expected to lead research programs that will produce significant contributions to a field, and teach and mentor at the undergraduate and graduate levels.

The Department of Computer Science (cs.uchicago.edu) is the hub of a large, diverse community of researchers focused on advancing the foundations of computing and driving its most advanced applications.

We encourage connections with researchers across the university in such areas as bioinformatics, mathematics, molecular engineering, natural language processing, statistics, public policy, and social science, among others: the University's culture is highly collaborative.

The University of Chicago is in the midst of an ambitious, multi-year effort to significantly expand its computing and data science activities including a recently-opened, state-of-the-art home for the Department of Computer Science.

Qualifications

Completion of all requirements for a Ph.D. in Computer Science or a related field is required at the time of appointment.

Application Instructions

Applications must be submitted online through the University of Chicago's Academic Jobs website: apply.interfolio.com/79574.

The following materials are required:

• cover letter;
• curriculum vitae including a list of publications;
• statement describing past and current research accomplishments and outlining future research plans;
• description of teaching philosophy and experience;
• applicants are required to request at least three confidential letters of recommendation via Interfolio.

The following materials are optional:

• up to three sample publications

 

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