The George Mason University Department of Computer Science, within the Volgenau School of Engineering, invites applications for Tenure-Track Assistant Professor positions beginning Fall 2017. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason’s academic and culturally inclusive environment. 


Successful candidates will be expected to teach at the undergraduate and graduate levels; develop an independent, externally funded research program; advise students; participate in all aspects of the department’s mission; and serve the profession. 

Required Qualifications:

Applicants must have received a Ph.D. in computer science or a related field by the start date of the position, and should have demonstrated potential for excellence and productivity in research, and a commitment to high-quality teaching. Exceptionally strong senior candidates may also be considered, and must have an established record of outstanding research and excellent teaching. Such candidates will be eligible for tenured Associate Professor or Professor positions. 

Preferred Qualifications:

While applicants in all areas of computer science will be given serious consideration, we are particularly interested in candidates in the areas of machine learning, artificial intelligence, computer systems (broadly construed), robotics, databases, data analytics, and data-intensive computing. 

About the Department:

The department has over 40 faculty members with wide-ranging research interests including artificial intelligence, algorithms, autonomic computing, computational biology, computer graphics, computer vision, databases, data mining, parallel and distributed systems, real-time systems, robotics, security, software engineering, and wireless and mobile computing. The Computer Science Department has over $6 million in annual research funding and has 11 recipients of the National Science Foundation’s prestigious CAREER awards. 

In addition to B.S., M.S. and Ph.D. programs in Computer Science, the department offers M.S. programs in Information Systems, Information Security and Assurance, and Software Engineering. The department also participates in an interdisciplinary M.S. in Data Analytics Engineering offered by the Volgenau School of Engineering. For more information on the department, visit our Web site: 

George Mason University is the largest public research university in Virginia, with an enrollment of over 35,000 students studying in over 200 degree programs. Mason is an innovative, entrepreneurial institution with national distinction in a range of academic fields. It was classified as an R1 research institution in 2016 by the Carnegie Classifications of Institutes of Higher Education, and was ranked number one in the 2013 U.S. News and World Report “Up-and-Coming” list of national universities. Mason is located in the city of Fairfax in Northern Virginia at the doorstep of the Washington, D.C., metropolitan area, with unmatched geographical access to a number of federal agencies and national laboratories. Northern Virginia is also home to one of the largest concentrations of high-tech firms in the nation, providing excellent opportunities for interaction with industry. Fairfax is consistently rated as being among the best places to live in the country, and has an outstanding local public school system. 

For full consideration, applicants must apply for position number F105Az at; complete and submit the online application; and upload a statement of professional goals including your perspective on teaching and research (to attach as ‘Other Doc’), a complete C.V. with publications, and the names of three professional references. The review of applications will begin February 1, 2017, and continue until the position is filled. 

George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status.