Nontenure Faculty Pool - Manufacturing Engineering
Nontenure Faculty Pool - Manufacturing Engineering
Job Posting Number: 2026041NTL
Position Description
The Ingram School of Engineering seeks to develop a pool of candidates for possible temporary/nontenured faculty positions to teach in the Manufacturing Engineering Program. For information about the Manufacturing Engineering program please visit https://www.engineering.txst.edu/programs/Manufacturing.html. Temporary/nontenured faculty are appointed to teach one to four courses per semester. Teaching appointments are based upon student demand on a semester-by-semester basis. Eligibility for annual reappointment is contingent upon satisfactory annual performance evaluations during the term period, in addition to continuity of funding and school need. Successful candidates will teach at the San Marcos campus. This posting is for the fall 2025, spring 2026, and summer 2026 semesters. Please note that this posting is not intended to convey that such a need currently exists. Applicants applying for this pool faculty position will be available to the Manufacturing Engineering Program search committee for consideration in case the need arises.
Required Qualifications
- A minimum of a master’s degree in Manufacturing Engineering, Mechanical Engineering or a closely related engineering field.
- Strong academic background in one of the following areas: Engineering Materials, Computer Aided Engineering (CAE), Control Systems, Robotics, Cyber Security in Manufacturing Systems, Manufacturing Processes, Mechanics of Materials, Engineering Graphics (CAD), and Computer Aided Design and Manufacturing (CAD/CAM), Dynamics of Machinery, Additive Manufacturing, Manufacturing Systems Design, Advanced Robotics.
- Excellent written and oral communication skills
Preferred Qualifications
- A Ph.D. in Manufacturing Engineering, Mechanical Engineering, or a closely related engineering field.
- Previous experience teaching undergraduate engineering courses as the instructor of record.
- Expertise with disruptive technologies, AI, and Machine Learning.
- Industrial experience.
Full Consideration Date:
(Not specified in main content)
Close Date:
05/31/2026
Open Until Filled?
Yes
Quicklink:
https://jobs.hr.txstate.edu/postings/53755
About Texas State and San Marcos: Texas State University is an emerging research institution located in the burgeoning Austin-San Antonio corridor and in the beautiful Texas Hill Country. It is the largest of eight campuses in the Texas State University System and one of the 75 largest universities in the country, with over 38,000 students and approximately 4,000 faculty and staff. Texas State is located in San Marcos, a growing community of over 50,000 people located about half way between Austin and San Antonio. Texas State enjoys a setting that is unique among Texas universities. The beauty of the crystal-clear San Marcos River and the stately cypress and pecan trees on the campus add to the charm of the university's picturesque setting. Our location on the banks of the San Marcos River provides outdoor recreational activities throughout the year. Why work @ Texas State? • Amazing health insurance: various coverage options starting your first day of employment for full-time employees with Texas State paying 100% of the employee premium and 50% for your dependents! • Generous paid time off: vacation, holidays, sick days and many more! • Excellent work life balance resources: mother and family-friendly resources in addition to a comprehensive FREE wellness program • Great professional development opportunities: choose from a variety of workshops, training, online learning and even access educational leave opportunities and reimbursement for academic courses • An inclusive Bobcat community: join our many social networks offered on and off-campus • Retirement peace of mind: TRS pension, retirement plans and voluntary saving options with generous employer contributions By joining the Texas State Bobcat team, you’ll be a part of one of the most beautiful, diverse, and growing universities in the nation.
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