Lecturer (Part-Time) - College of AI, Cyber and Computing (CAICC), Information Systems and Cybersecurity

University of Texas at San Antonio; San Antonio (TX); Vor Ort; USD 51.000 - 61.000; Teilzeit

Zusammenfassung

The University of Texas at San Antonio is seeking a part-time Lecturer for the College of AI, Cyber and Computing to teach cybersecurity and/or digital forensics. The role starts Spring 2027 with potential for graduate course instruction, and may involve teaching on campus and remotely.

Minimum qualifications include a master's degree or higher in a related field and five years of teaching or professional experience in cybersecurity or digital forensics.

Qualifikationen

• Master's degree or higher in Cybersecurity, Digital Forensics, Information Systems, Information Technology, Computer Science, or a related field.
• 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 per Texas EO-GA-48.

Aufgaben

• Teach undergraduate or graduate courses in cybersecurity and/or digital forensics beginning Spring 2027, with possible opportunities to teach graduate courses.

Kenntnisse

Teaching experience

Ausbildung

Master's degree or higher in cybersecurity or related field

Jobbeschreibung

Lecturer (Part-Time) - College of AI, Cyber and Computing (CAICC), Information Systems and Cybersecurity

Location: San Antonio, TX

Regular/Temporary: Regular

Job ID: 16692

Full/Part Time: Part Time

Position Summary

The successful candidate will teach undergraduate or graduate courses in cybersecurity and/or digital forensics beginning in Spring 2027, with possible opportunities to teach graduate courses. Full lists of course offerings and descriptions are available here:

• Undergraduate Catalog: https://catalog.utsa.edu/undergraduate/aicybercomputing/informationsystemscybersecurity/#text
• Graduate Catalog: https://catalog.utsa.edu/graduate/aicybercomputing/informationsystemscybersecurity/#degreestext

Salary and Employment Details

• Salary Range: $5,000 per course
• Job Type: Part Time

Qualifications

• Master's degree or higher in Cybersecurity, Digital Forensics, Information Systems, Information Technology, Computer Science, or a related field relevant to the courses of interest.
• Five years of teaching and/or professional experience in cybersecurity, digital forensics, or a related area.
• This position may require the ability to maintain the security and integrity of UT San Antonio and its infrastructure per Texas EO-GA-48.

Preferred Qualifications

• Terminal degree in a relevant field. A terminal degree is highly preferred for graduate course instruction due to accreditation requirements.
• Professional certifications such as CISSP, CISM, Security+, GCFA, GCFE, or EnCE.
• Practitioner experience in areas such as incident response, forensic investigations, or governance, risk, and compliance.
• Evidence of integrating technology into instruction, online teaching, or using other emerging technologies.
• Experience incorporating active or experiential learning, or other evidence-based pedagogy.

Posting Close Date

Applications will be accepted through 11:59 PM CDT on 11/06/2026. At the discretion of the hiring department, this posting may close once a sufficient number of qualified applications have been received.

This Position

This position will work both on campus and remote. Travel and parking expenses are the employee's responsibility.

This position is contingent upon a successful background check. Verification of a valid driver's license and Motor Vehicle Record (MVR) may be completed as applicable. Applicants selected must be able to show proof of eligibility to work in the United States by time of hire.

Equal Employment Opportunity

As an equal employment opportunity and affirmative action employer, it is the policy of The University of Texas at San Antonio to promote and ensure equal employment opportunity for all individuals regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability or genetic information, and veteran status. The University is committed to the Affliative Action Program in compliance with all government requirements to ensure nondiscrimination.