Lecturer (Part-Time)
Job Description
Teach cybersecurity and digital forensics with UT San Antonio College of AI, Cyber, and Computing in a part-time role that blends on-campus and remote work (hybrid). This position begins in Spring 2027, with $5,000 per course. There may also be opportunities to support graduate-level instruction depending on departmental needs.
What You’ll Do
- Teach undergraduate or graduate courses in cybersecurity and/or digital forensics beginning Spring 2027.
- Possibly teach graduate courses as opportunities arise.
Qualifications
- Master’s degree or higher in Cybersecurity, Digital Forensics, Information Systems, Information Technology, Computer Science, or a related field aligned with the courses of interest.
- Five years of teaching and/or professional experience in cybersecurity, digital forensics, or a related area.
- Ability to maintain the security and integrity of UT San Antonio and its infrastructure in line with Texas EO-GA-48 (as applicable for this role).
Preferred Experience
- Terminal degree in a relevant field, strongly preferred for graduate course instruction due to accreditation requirements.
- Professional certifications such as CISSP, CISM, Security+, GCFA, GCFE, or EnCE.
- Practitioner experience in incident response, forensic investigations, or governance, risk, and compliance.
- Evidence of integrating technology into instruction, online teaching, or other emerging technologies.
- Experience using active or experiential learning and other evidence-based pedagogy.
Application Process
To apply, upload:
- A current curriculum vitae outlining relevant job experience and subject matter expertise for the courses you are qualified and interested to teach, along with professional certifications and past collegiate-level teaching experience (include course number, course name, and institution).
- Contact information for at least three professional references.
- A letter of interest describing professional experience, highlighting work in cybersecurity and/or digital forensics, and listing the course(s) you are qualified to teach in order of preference.
- Optional: a teaching statement (one-page limit).
Work Location and Important Notes
- Hybrid work between on campus and remote.
- Travel and parking expenses are the employee’s responsibility.
Deadline and Conditions
- Applications accepted through 11:59 PM CDT on 11/06/2026 (may close early at the department’s discretion).
- Contingent upon a successful background check.
- Verification of a valid driver’s license and MVR may be required as applicable.
- Selected applicants must provide proof of eligibility to work in the United States by time of hire.