Job Title: Assistant Professor - Tenure Track

Assistant Professor - Tenure Track (CLOSED)
Howard University
Washington, DC

Job Title: Assistant Professor - Tenure Track
Department of Computer Science
Howard University
Washington, DC

Departmental Website:

The Department of Computer Science at Howard University invites applications for two faculty positions at the Assistant Professor level. The successful applicant will hold a Ph.D. in Computer Science or a closely related field and have a demonstrated commitment to undergraduate computer science education and potential for establishing a strong research program. It is anticipated that the positions may be available as early as January 2016.

Responsibilities will include teaching, research, advising, and professional service. Preference will be given to candidates with expertise in: cybersecurity, cloud computing, machine learning, data analytics, visualization, and human computer interaction although specialists in other branches of computer science will also be considered.

Founded in 1867, Howard University is a federally chartered, private, doctoral university, classified as a high research activity institution. With an enrollment of more than 10,000 students, its undergraduate, graduate, professional and joint degree programs span more than 120 areas of study within 13 schools and colleges.
Howard is recognized by the United States Department of Education as one of the nation’s HBCUs, or Historically Black College or University.

Applicants should send a CV, a statement of teaching and research interests, and contact information for three professional references to Dr. Legand Burge, Chair, Department of Computer Science at Applications will be considered at any time until the positions are filled.

EEO/AA Policy

Howard University prohibits discrimination under Title VII of the Civil Rights Act of 1964, the Rehabilitation Act of 1973, the Americans with Disabilities Act, and the Code of The District of Columbia, including the following: discrimination based on handicap status or discrimination based on race, color, religion, gender, age, national origin, marital status, personal appearance, sexual orientation, family responsibilities, matriculation, or political affiliation.


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