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Computer Science Tenure Track Assistant, Associate, or Full Professor

Job description


Posting Number: F001253 Academic Title: Computer Science Tenure Track Assistant, Associate, or Full Professor Rank: Professor, Associate Professor, Assistant Professor Administrative Title: Discipline STEM/ STEM - Education Specialty: Contract Type: Tenure Track Required Licenses/Certifications and other Specific Requirements: Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search Proposed Start Date: Full-Time/Part-Time: Full-Time Position Description Summary:

The Department of Computer Science at The George Washington University invites applications for two tenure track positions at the Assistant, Associate and Full Professor level, beginning as early as Fall 2018.

We seek candidates that can augment or complement existing research strengths in Machine Learning, NLP, Vision, Graphics, Systems, Mobile Networking and Cybersecurity. New faculty will join a vibrant department housed in a new $275M building that encourages interdisciplinary efforts across science and engineering. Current research is supported by federal sources including NSF, NIH, DARPA, IARPA, DOE, and a variety of industrial sources.

The George Washington University is the largest academic institution in the nation's capital. The exceptional location affords the GW community unique cultural and intellectual opportunities, with close access to many federal funding agencies, research laboratories, and one of the largest concentrations of technology companies in the nation.

Specific Duties and Responsibilities:

Faculty hired into this position will be expected to build a substantial research program, mentor graduate students in research and teach courses at the undergraduate and graduate levels.

Minimum Qualifications:

A Ph.D. in computer science or a related area by date of appointment is required. Applicants must demonstrate potential for developing a quality research program and for attracting research funding. All applicants must have demonstrated teaching excellence or potential at both the undergraduate and graduate levels.

Advertised Salary: Other Benefits: Other Information: Special Instructions to Applicants:

With the online application please upload: (1) a detailed CV or resume; (2) a research statement; (3) a teaching statement; and (4) a cover letter that could describe your goals and why you are applying to this position. Please have your three references email their recommendation letters directly to cssearch@gwu.edu. References will be expected to address research and teaching skills necessary for this appointment. Only complete applications will be considered. Review of applications will begin January 8, 2018 and will continue until the position is filled.

Department Link: Posting Close Date: Open Until Filled: Yes Background Screening Successful Completion of a Background Screening will be required as a condition of hire. EEO Statement:

The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.

Quick Link http://www.gwu.jobs/postings/47834
Posting Specific Questions
Required fields are indicated with an asterisk (*).
  1. * Can you demonstrate potential for developing a quality research program and for attracting research funding?
    • Yes
    • No
  2. * Can you demonstrate potential for teaching excellence at both the undergraduate and graduate levels?
    • Yes
    • No
  3. * Do you currently have or will you have a Ph.D. in Computer Science or related area by date of appointment?
    • Yes
    • No

Applicant Documents
Required Documents
  1. Curriculum Vitae
  2. Cover Letter
  3. Statement of Teaching Interest
  4. Statement of Research Interest
Optional Documents





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    Job No:
    Posted: 3/2/2018
    Application Due: 4/28/2018
    Work Type: