Part-Time Adjunct Instructor - Department of Computer Science and Electrical Engineering

Part‑Time Adjunct Instructor - Department of Computer Science and Electrical Engineering - 26802

Join to apply for the Part‑Time Adjunct Instructor - Department of Computer Science and Electrical Engineering - 26802 role at WVU Department of Mechanical, Materials and Aerospace Engineering.

The Lane Department of Computer Science and Electrical Engineering (LCSEE) at West Virginia University (WVU) invites applications for part‑time adjunct instructor positions to support its ongoing expansion and the strategic initiative of enriching its online and in‑person students’ education and research.

• Artificial Intelligence and Machine Learning
• Cybersecurity
• Computer Science
• Software Engineering
• Computer Engineering
• Electrical Engineering

West Virginia University is designated an R1 University (Highest Research Activity) by the Carnegie Classification of Institutions of Higher Education. The Lane Department of Computer Science and Electrical Engineering has 29 faculty members and approximately 750 undergraduate and 150 graduate students. WVU is designated by the National Security Agency (NSA) and the Department of Homeland Security (DHS) as a National Center of Academic Excellence in both Cyber Defense Research and Cyber Defense Education.

WVU is a member of the USCYBERCOM academic engagement network (AEN) and the AFRL Information Institute. WVU is the founding site in the multi‑university Center for Identification Technology Research (CITeR), an NSF Industry/University Cooperative Research Center (I/UCRC) with many center‑funded opportunities for new faculty working in biometrics, machine learning, and computer vision. The Department also offers a graduate area of emphasis in Computational Data Science and digital health.

The Department is home to a master’s in Software Engineering program that is fully online and highly ranked in collaboration with Coursera.

Morgantown is a safe, inclusive, and family‑friendly community. The city is located within reasonable driving distances from Pittsburgh, PA and Washington, DC. Additional details on the area and the university are available at http://(Use the "Apply for this Job" box below). and https:// WVU provides faculty members with a supportive environment for developing a visible and productive career () and a range of progressive policies to support work‑life integration ().

WVU also offers a Dual Career Program to assist partners in their career transition and job search.

Eligible candidates must hold an earned doctorate in Computer Science or Electrical Engineering or Computer Engineering or Software Engineering or a closely related discipline at the time of appointment.

Work responsibilities may include:

• Advise/mentor online graduate students.
• Teach and develop online asynchronous courses.
• Teach in‑person undergraduate or graduate students.

Candidates with BS and MS degrees in Computer Science or Electrical Engineering or Computer Engineering or Software Engineering or a closely related discipline from an accredited university with significant (10+ years) industry experience will also be considered.

Candidates with active research experience in their area of expertise, academic publications, and an interest in advising/mentoring doctoral students are highly desirable.

To apply for this position, visit  Applicants must submit a cover letter that indicates the candidate’s specialty area of interest, a curriculum vitae, a one‑page statement of teaching philosophy, and contact information for at least three professional references. Review of applications will begin on June 1, 2025, and will continue on a rolling basis. For further information, please contact Dr.

Anurag Srivastava, Chair of the Lane Department, by e‑mail (anurag.srivastava.edu), or visit our website at .

West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.

• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Part‑time
• Job function:
  Information Technology
• Industries:
  Higher Education