University of the District of Columbia Jobs

University of the District of Columbia

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4200 Connecticut Ave NW, Washington, DC 20008, USA

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"Assistant Professor of Computer Science"

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Assistant Professor of Computer Science

Assistant Professor of Computer Science

Company:
University of the District of Columbia

Job Location:
Washington, 20008

Category:
Computer Science

Type:
Full-Time

Number of Vacancies: 1

Position Status: Full-Time, Regular Tenure Track

Salary Range: Up to $82,000

Closing Date: Open Until Filled

Location: 5171 South Dakota Ave NE, Washington, DC

Brief Description of Duties

The University of the District of Columbia (UDC), a public, urban, land-grant institution dedicated to quality, career-focused undergraduate education, seeks an Assistant Professor in Computer Science to support the Associate of Science (AS) in Computer Science degree program at the UDC-Community College. The Assistant Professor will deliver innovative instruction, advise students, and contribute to curriculum development that prepares District residents for high-demand careers in software development, cybersecurity, cloud computing, and data analytics. The program also provides seamless transfer to four-year universities, specifically UDC, for advanced study. This position advances the University's Delivering on the Promise 2024-2029 strategic plan by expanding workforce-aligned programs, improving student outcomes, and supporting equitable access to technology careers across the District.

The individual reports to the Division Chair for Math and Engineering. All core courses are currently held at the UDC-CC Located at 5171 South Dakota Ave. NE. Washington, DC. 20017. However, there may be times the individual is expected to teach at more than one location. This is a permanent 9-month, tenure-track position.

Essential Duties and Responsibilities

The Assistant Professor must possess experience with hardware, software, and basic network fundamentals including router, modems, and network cabling. Local Area Networking (LAN) and Wide Area Networking (WAN) are definite desirables. Software experience with languages such as UNIX, C++, ADOBE, and/or VBA are highly desirable. Must demonstrate experience using technologies to enhance classroom teaching and student-centered learning.

The Assistant Professor should have an understanding of current issues and student demographics, experience with instructional technology and online learning including Blackboard, skill in teaching a diverse student body with various learning styles, familiarity or knowledge of differentiated instruction, possess a high level of professionalism, including collaboration, excellent communication and customer service skills, and commitment to a learner-centered environment.

The Assistant Professor must also possess the ability to work with colleagues and administrators in the development of goals for the curriculum and the Community College in a fast-paced environment.

Minimum Job Requirements

The individual must have a minimum of a Master's degree in Computer Science or related discipline (e.g. Master's degrees in Information Technology, Networking and Telecommunications, Management Information Systems, Software Engineering, Computer Engineering, including Computer Education, Educational Technologies). At least two (2) years of teaching experience, including two (2) years in Computer Science, preferably at the college level.

A candidate for appointment to the rank of Assistant Professor shall be required to meet the following qualifications:

  1. An appropriate terminal degree or agree to complete this degree within a period of time to be specified in the terms of the initial contract; and
  2. At least three (3) years of full-time teaching experience, including two (2) years in an institution of higher education.

Appropriate professional experience and achievements may be substituted when formal teaching experience is limited or absent.

When formal teaching experience is limited or absent, the candidate shall be required to demonstrate verifiable potential for effective teaching.

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