The University of Nevada, Las Vegas (UNLV) appreciates your interest in employment. We ask that you keep in mind the following when completing your application: Once you start the application process you cannot save your work. Please ensure you have all required attachment(s) available to complete your application before you begin the process. Required attachments are listed below on the posting. Your application
will not be considered without the required attachments. Please note that applications must be submitted prior to the close of the recruitment. Once a recruitment has closed, applications will no longer be accepted. If you need assistance or have questions regarding the application process, please contact Human Resources at (702) 895-3504 or unlvjobs@unlv.edu . Job Description The University of Nevada, Las Vegas
invites applications for Lecturer / Assistant Professor-in-Residence, Cybersecurity, College of Engineering [R0152399] . ROLE of the POSITION The Department of Applied and Interdisciplinary Engineering (AIE) in the Howard R. Hughes College of Engineering at the University of Nevada, Las Vegas (UNLV) invites applications for a 9-month, non-tenure track Lecturer, or Assistant Professor-in-Residence position in
Cybersecurity with expertise in Artificial Intelligence beginning July 1, 2027. The successful candidate will primarily teach undergraduate and graduate courses within UNLV's cybersecurity programs while helping expand the integration of artificial intelligence (AI) concepts, tools, and applications throughout the cybersecurity curriculum. The standard teaching load for this position is four courses (12 credits) per
semester during the academic year. Summer teaching opportunities may be available for additional compensation. Primary responsibilities include teaching cybersecurity courses; developing and updating curriculum; mentoring and advising students; supporting program assessment and accreditation activities; and participating in departmental, college, and university service. The successful candidate will be expected to
incorporate contemporary AI technologies and methodologies into cybersecurity education and help prepare students to operate effectively in an increasingly AI-enabled security landscape. Candidates should possess expertise in machine learning, generative AI, large language models (LLMs), agentic AI, CyberAIOps, Secure AI systems, data analytics, or related areas, with an interest in applying these technologies to
Summary from the source posting. Always confirm details on the institution's official career page.