Adjunct Faculty, Cybersecurity Management and Business Analytics

Adjunct Faculty, Cybersecurity Management and Business Analytics (4 positions available) At Hofstra University, intellectual curiosity is not just aspirational – it is central to how we engage on a daily basis. Hofstra faculty work within a diverse scholarly community committed to student success, intellectual discovery, free inquiry, inclusivity, and collaboration. Enrolling more than 10,000 students, Hofstra offers students an array of undergraduate and graduate academic programs spanning the arts, humanities, sciences, business, engineering, law, health care, communications, and more. Our accomplished faculty collaborate with students to explore interdisciplinary questions and produce innovative research that lays the foundation for future personal and professional success. With a beautiful campus in Hempstead, NY, Hofstra’s location seamlessly merges the tranquility of coastal suburban living with the boundless opportunities of nearby New York City. Hofstra University is dedicated to recruiting and retaining a highly qualified and diverse academic community of students, faculty, staff, and administrators respectful of the contributions and dignity of each of its members. We welcome applications from individuals of all backgrounds and experiences and are committed to building a diverse and inclusive community. Position Title: Adjunct Faculty, Cybersecurity Management and Business Analytics (4 positions available) Position Number: 999972 School/Division: School of Business Full-Time or Part-Time: Part-Time The Department of Information Systems and Business Analytics (IS/ BAN) at Hofstra University invites applications for adjunct(s) in the field of Cybersecurity Management and Business Analytics. CHARACTERISTIC DUTIES AND RESPONSIBILITIES Responsibilities include, but are not limited to: Teaching topics include Cybersecurity Infrastructure, Cybersecurity Technologies, Cyber Attacks and Protection Strategies, Information Systems Auditing, Cyber Risk Management, Disaster Recovery, Digital Forensics, Introduction to Business Statistics, and Statistical Data Analytics. Qualifications A master’s degree in statistics, IS/ MIS /CS, or a closely related field from an AACSB accredited institution Preferred Qualifications Summary Industry experience and/or professional certifications in cybersecurity are preferred. Ability to teach during daytime hours is preferred. Special Instructions Please upload the following with your application for consideration: Academic transcript(s) Evidence of teaching effectiveness if any Address and phone number of three references Review of applications will continue until the position(s) are filled. Inquiries should be directed to Dr. Hak J. Kim (hak.j.kim@hofstra.edu). Date Posted: 11/11/2025 Hofstra University is an equal opportunity employer and is committed to extending equal opportunity in employment to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national or ethnic origin, physical or mental disability, marital or veteran status or any other characteristic protected by law. Salary/Salary Range: $1,458-$1,839 per credit hour Hofstra University provides the above salary* as a good faith estimate of the starting pay range which considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and education. In addition to the salary offered, we offer a collegial and inclusive culture, and a benefits program which includes: generous paid time off paid holidays tuition remission for employees and eligible dependents a retirement plan with University contributions *Salary ranges indicated for positions covered under a Collective Bargaining Agreement are in accordance with the CBA. Documents needed to apply Required Documents: Transcripts Curriculum Vitae References Cover Letter Optional Documents: Evidence of Effectiveness as an Educator Supplemental Questions Required fields are indicated with an asterisk (*). #J-18808-Ljbffr