Position Description
The Industrial Engineering program in the Ingram School of Engineering at Texas State University invites applications for a non-tenure track position at the rank of Assistant or Associate Professor of Practice to begin in Fall 2025.

The successful candidate will be expected to teach and further develop industrial engineering senior-level capstone design courses, and other undergraduate, master’s and PhD level courses. The selected candidate should demonstrate a strong commitment to student-centered teaching and mentoring at undergraduate and graduate levels, create and foster industry partnerships, engage in scholarship through professional presentations, publications and membership in master’s thesis and PhD dissertation committees, participate in curriculum and program development, and perform university and professional service. For more information on Texas State University’s Faculty of Practice appointments, follow this link http://policies.txstate.edu/division-policies/academic-affairs/04-01-23.html.

To assure full consideration, applications must be submitted by January 10, 2025.

All positions are subject to availability of funds.
Required Qualifications
For all ranks:

A Ph.D. in industrial engineering or a very closely related discipline.
Academic background in the fields of Operations Research/Analytics, Data Science, or Systems Engineering.
Research competence in the areas of Operations Research/Analytics, Data Science, or Systems Engineering evidenced by publications in peer-reviewed journals and conference proceedings and presentations at professional conferences, preferably recent ones.
Demonstrated excellence in written and oral communication skills.

For the Assistant Professor of Practice Rank:

Minimum of five years of recent experience in a full-time professional practice or management capacity in any of these fields: Operations Research/Analytics, Data Science, Systems Engineering or related areas.

For the Associate Professor of Practice Rank:

Minimum of ten years of recent experience in a full-time professional practice or management capacity in any of these fields: Operations Research/Analytics, Data Science, Systems Engineering or related areas.
Preferred Qualifications
For all ranks:

Demonstrated teaching experience (3 years or more) in Industrial Engineering or very closely related programs at the undergraduate and graduate levels.
Previous experience teaching capstone design courses.
Practical expertise with more than one of these disruptive technologies associated with Industry 4.0 and Industry 5.0: Artificial Intelligence (AI), Advanced Robotics and Automation, Additive Manufacturing (AM), Cybersecurity, Data Analytics, Augmented and Virtual Reality (AR and VR), Digital Twins (DT), Cyber-Physical Systems (CPS).
Practical expertise in Sustainable Supply Chain or Transportation Electrification.
An ability to work collaboratively with faculty across multiple programs and departments.
Knowledge about ABET accreditation procedures and deliverables.
Demonstrated leadership roles in industrial engineering related professional organizations.
Experience in teaching and mentoring students in academic environments with varying populations.
Application Procedures
Only applications submitted through the Texas State University website will be accepted and considered: https://jobs.hr.txstate.edu/postings/50580

To assure full consideration, applications must be submitted by January 10, 2025.

The following documentation must be included in the application:

1) A cover letter that clearly addresses each of the required and preferred qualifications.
2) Curriculum vitae that includes the following:
a) All academic background including the terminal degree
b) List of professional employments
c) Consulting experience
d) List of courses taught as Instructor of Record
e) List of published and/or submitted peer-reviewed articles
f) List of professional presentations
3) Statements of teaching philosophy and interests
4) Statements of current and future research interests
5) List of three references (Provided in the Reference Letter section of the application)

The selected candidate will be required to provide official transcripts from all degree-granting universities.