|Position ID:||IllinoisTech-CS-TT [#8118]|
|Position Type:||Tenured/Tenure-track faculty|
|Position Location:||Chicago, Illinois 60616, United States [map]|
|Subject Areas:||Computer Science / Computational Science, Security, Programming Languages, Data Science, All areas|
|Appl Deadline:||2017/03/31 (posted 2016/09/27)|
|TENURE-TRACK/TENURED POSITIONS IN COMPUTER SCIENCE
The Department of Computer Science at Illinois Institute of Technology seeks applications for tenure-track/tenured positions at all ranks, with a preference for tenure-track at the rank of Assistant Professor, starting Fall 2017. Exceptional candidates may also be considered for endowed positions at both junior and senior levels.
Applicants must have a Ph.D. in computer science or a closely related field, demonstrated success in research, a record of attracting external research funding appropriate to their rank, and a strong commitment to excellence in teaching. While excellent candidates from all areas of computer science will be considered, candidates in Programming Languages, Security, Data Science, and Computational Science are especially encouraged to apply.
The Department of Computer Science at Illinois Institute of Technology has recently received a major gift and is in the middle of significant growth in enrollments and hiring as well as space and infrastructure improvements. The Department offers B.S, M.S., and Ph.D., degrees in Computer Science, and several of its faculty members are NSF CAREER Award winners and IEEE/ACM/AAAS fellows. Illinois Institute of Technology, located within 10 minutes of downtown Chicago, is in the final stages of a successful capital campaign that has led to the creation of several endowed positions, increased funding for scholarships, and construction of the new Ed Kaplan Family Institute for Innovation and Tech Entrepreneurship.
Evaluation of applications will start on December 1st, 2016 and continue until the position(s) are filled. Illinois Institute of Technology is an equal opportunity/affirmative action employer. Women and Underrepresented Minorities are strongly encouraged to apply. Applicants should apply online at https://academicjobsonline.org/ajo/jobs/8118.