Assistant/Associate Professor of Instruction - Computer Science
Listed on 2025-12-01
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Education / Teaching
University Professor, Computer Science
Assistant/Associate Professor of Instruction - Computer Science
Job Posting Number: 2026064
NTL
Job Location:
San Marcos
College/Division:
College of Science and Engineering
Department/School:
Computer Science
The Department of Computer Science invites applications for faculty positions at the rank of Assistant and/or Associate Professor of Instruction, starting in Fall 2026. We are seeking candidates to teach a variety of courses at the undergraduate and graduate levels. The position is a nine‑month non‑tenure‑line faculty appointment. Opportunities exist to augment the academic year salary by assisting with summer instruction.
Successful candidates are expected to do the following:
- Teach 4 sections of 2 to 3 undergraduate/graduate courses per semester.
- Participate in institutional and professional service.
- 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 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 computer science, Master of Arts in computer science, Master of Science in Artificial Intelligence and Doctor of Philosophy in computer science. The BS degree is ABET accredited. The 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.
This position is subject to the availability of funds.
Required Qualifications:
- Master’s degree in computer science or a closely related field by the start of employment.
- Evidence of teaching effectiveness in US universities.
- Excellent written and oral English communication skills.
In addition, for the Associate Professor of Instruction rank:
- At least five years of teaching experience or at least 10 years’ experience in industry working as a senior/lead scientist or engineer.
Preferred Qualifications:
- Ph.D. degree in computer science or a closely related field.
- Experience teaching both lower‑ and upper‑level computer science courses.
- Demonstrates current and contemporary competence in teaching content area.
- University service experience.
- Exhibits the potential for increased leadership in teaching and instructional activities.
Application Procedures:
Online submission of all application materials is required through the university’s application portal: (Use the "Apply for this Job" box below). To assure full consideration, please submit the following by March 31, 2026:
- Cover letter addressing the required and preferred qualifications.
- Curriculum Vitae.
- Statement of teaching philosophy.
- Unofficial transcripts (all in one document).
- List of references.
Candidates selected for interviews will be required to provide official transcripts from all degree‑granting universities.
Type of Position:
Full‑Time
Proposed
Start Date:
Fall 2026
Posting Date: 11/11/2025
Review Date: 03/31/2026
Open Until Filled?:
Yes
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.…
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