West Virginia University is Hiring Professors

The Lane Department of Computer Science and Electrical Engineering at West Virginia University is hiring!  

Our department currently has the following positions open: 

  • Teaching Assistant/Associate Professor in Software Engineering ID# 20322 


  • Cybersecurity, AI, and CS Assistant/Associate Professor ID#20323 


To apply for this position, visit www.jobs.wvu.eduScreening of applications will begin immediately with an aggressive schedule until the position is filled. For further information or to make nominations, contact Dr. Anurag Srivastava, Chair of the Lane Department by email (anurag.srivastava@mail.wvu.edu). or visit our website at https://lcsee.statler.wvu.edu 

West Virginia University is designated an R1 University (Highest Research Activity) by the Carnegie Classification of Institutions of Higher Education. The Statler College is growing and currently has seven academic departments, over 4,700 students, and 135 faculty members, with about $30M in annual external research expenditures. The Lane Department of Computer Science and Electrical Engineering has 33 faculty members and approximately 500 undergraduate and 160 graduate students.  The successful candidate will greatly benefit from the resources offered by the Lane Department, Statler College, WVU Data Science Program, WVU Energy Institute, WVU Health Sciences Center (HSC), WVU Rockefeller Neuroscience Institute (RNI) and the National Energy Technology Laboratory (NETL). 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.