Assistant​/Associate Professor of Instruction - Online

Position Title

Assistant/Associate Professor of Instruction - Online

Job Posting Number

2026075

NTL

Job Location

Other - Online

College/Division

College of Science and Engineering

Department/School

Computer Science

Position Description

The Department of Computer Science invites applications for an Online Assistant Professor of Instruction position to start as early as Fall 2026. We are seeking candidates to teach a variety of courses in the online Master of Computer Science program. The position is a nine-month non-tenure-line faculty appointment. Opportunities exist to augment the academic year salary by assisting with summer instruction.

All positions are subject to availability of funds.

Successful candidates are expected to do the following:

• Teach 4 sections of online courses at the master’s level per semester.
• Exhibit a collaborative attitude that feeds into the culture of cooperation and teamwork in the Computer Science Department.

This non-tenure-line faculty position is primarily for online teaching. Candidates are not expected to engage in research, external funding, or publications.

The department offers the following degree programs:
Bachelor of Science (BS) in computer science, Bachelor of Arts in computer science, Master of Science in AI, Master of Science in computer science, Master of Arts in computer science, and Doctor of Philosophy in computer science. The BS degree is ABET accredited.

The Computer Science department enjoys a friendly atmosphere and is dedicated to the success of its junior faculty, providing support through formal mentoring, reduced service loads, collaboration and collegiality, and opportunities to participate in university-wide professional development programs.

Required Qualifications

For both ranks:

• Ph.D. degree in computer science or a closely related field by the start of employment.
• Evidence of online teaching effectiveness in US universities.
• Excellent written and oral English communication skills.

Associate Rank

• At least five years of online teaching experience at the university level. Applicants must show evidence of teaching effectiveness at the graduate-level.

Preferred Qualifications

• Demonstrate current and contemporary competence in online teaching.
• Exhibit the potential for increased leadership in teaching and instructional activities.

Application Procedures

All application materials must be submitted through the university’s portal: /55084

To assure full consideration, please submit the following by March 31, 2026:

• Cover letter.
• Curriculum vita or resume.
• Personal statement of teaching philosophy.
• Unofficial transcripts (all in one document).

This role may be eligible for 100% remote work for applicants residing in Texas or in states where TXST is registered as an employer; applicants outside these areas may not qualify. For a list of states where TXST is registered as an employer, please visit https://(Use the "Apply for this Job" box below)..

Type of Position

Full-Time

Proposed Start Date

Fall 2026

Posting Date

12/09/2025

Review Date

04/01/2026

Open Until Filled?

Yes

Legal Notices

Texas State University is committed to a policy of non-discrimination and equal opportunity for all persons regardless of race, sex, color, religion, national origin or ancestry, age, marital status, disability, veteran status, or any other basis protected by federal or state law in employment, educational programs, and activities and admissions.

Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.

This position may conduct research on critical infrastructure depending on the research focus of a hire. Consistent with the requirements of the State of Texas, individuals conducting research on critical infrastructure will be subject to pre-employment, and then subsequent routine background checks/cybersecurity screenings. Employment will at all times be contingent upon the successful completion of these screenings in accordance with State and University requirements.

Reasonable

Accommodation

If you experience accessibility issues or require alternative formatting during the application process due to a disability or underlying condition, we request that you contact Talent Acquisition for assistance. A representative from Talent Acquisition will respond to you as soon as possible.

Record Checks and Verifications

Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.

Eligibility for Employment

In accordance with federal law, all new employees must complete the Form I-9 and provide acceptable documentation verifying their identity and…