Title: Assistant Professor of Learning Technologies

Employee Classification: Asst Professor

Campus: University of North Texas

Division: UNT-Provost

SubDivision-Department: UNT-College of Information

Department: UNT-Learning Technologies-133300

Job Location: Denton

Salary: Varies based on assignment

FTE: 1.00

Retirement Eligibility: ORP Eligible

About Us - Values Overview:

Department Summary

The Department of Learning Technologies, housed in the College of Information at UNT, serves as a dynamic center for advancing the study and application of learning technologies. UNT, recognized as a Tier One research university by the Carnegie Classification, offers 114 bachelor’s, 87 master’s, and 39 doctoral programs, many of which have earned national and international recognition.

The College of Information, founded in 2008 by the Texas Higher Education Coordinating Board, is a proud member of the iSchools and iCaucus. The college fosters a learner-centered environment, connecting information, people/learners, organizations, languages, learning, design, and technology.

As one of four departments within the College of Information, the Department of Learning Technologies offers a Bachelor of Applied Science (BAS), a Master of Science (MS), and a Doctor of Philosophy (PhD) in Learning Technologies, along with a Graduate Academic Certificate in Instructional Design & Technology. Our graduate programs attract professionals from diverse fields, including K-12 and higher education, e-learning, instructional design and development, learning technologies, human resources, workforce leadership and human performance improvement, and organizational development.

Our faculty are renowned for their interdisciplinary, multidisciplinary, and transdisciplinary approaches to teaching and research, with a distinguished record of scholarship and funding. Since 2000, the department has secured over $20 million in research funding through the Texas Center for Educational Technology (TCET) and the Institution for the Integration of Technology into Teaching and Learning (IITTL), which has greatly enhanced the department’s reputation and research impact.

For more information about our degrees, courses, and faculty research, please visit https://lt.unt.edu/.

UNT Community
Denton, Texas, is a vibrant, culturally rich community known for its artistic spirit and diverse events that bring people together year-round. At the heart of Denton is the historic downtown square, featuring unique local restaurants, charming boutiques, and art galleries in a welcoming atmosphere. The city’s calendar is packed with events that showcase its unique character, from the famous Denton Arts & Jazz Festival, which draws music lovers from across the region, to the seasonal community market, where local artisans and farmers connect with residents every weekend. Denton also embraces cultural celebrations such as the Día de los Muertos Festival, creating a spirited blend of tradition and innovation. This lively community makes Denton an inspiring place to work, live, and engage.

UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American Sign Language, Chinese (Cantonese, Mandarin and other variations), Arabic, Tagalog, Farsi, French, or/and Yoruba.

Position Overview

The Department of Learning Technologies at the University of North Texas (UNT) invites applications for a nine-month tenure-track faculty position at the rank of Assistant Professor, starting in August 2025. A typical tenure-track faculty member’s workload includes 40% Research, 40% Teaching, and 20% Service, with a 2-2 teaching load each fall and spring, and optional summer teaching opportunities.

We seek candidates with a Ph.D. in Learning Design and Technologies, Instructional Systems Design, Learning Sciences, or a related field that complements our current faculty’s strengths. Ideal candidates will contribute to UNT’s commitment to advancing educational technology through innovative instructional design and technology integration. Responsibilities include teaching undergraduate and graduate courses in various formats (online, hybrid, and in-person) and advising doctoral students, with an emphasis on the following areas:

• Knowledge of educational technology learning theory and technology acceptance models
• Application of instructional design theories and learning sciences to create engaging, technology-enhanced learning environments
• Expertise in advanced instructional design using authoring tools such as Adobe Suite, Captivate 360, and Articulate Storyline, for developing interactive learning experiences
• Proficiency in game-based learning and interactive simulations, with foundational programming knowledge to design immersive learning experiences
• Design and evaluation of emerging technologies (e.g., AI, adaptive learning systems, learning analytics) across various educational or training contexts, including K-12, higher education, and corporate training

Successful candidates are expected to conduct research in one or more of the following areas: user/learner-centered experience design, game-based learning, virtual reality, augmented reality, and mixed reality, and “maker” learning (e.g., makerspaces, 3-D printing) across various learning contexts (e.g., K-12, higher education, corporate training, informal learning).

The successful candidate will exhibit the ability to produce high-quality research, seek grant funding, and integrate advanced technologies in diverse learning settings.

Minimum Qualifications

• Hold a doctorate in learning design and technologies or an equivalent doctoral degree in a related field (e.g., learning sciences, human-computer interaction, information sciences) by August 2025.
• Demonstrate a strong understanding of learning theories and solid foundation of instructional design and development .
• Ability to stay current with evolving technology skills for teaching and research to keep pace with the rapidly changing digital landscape.
• Demonstrate advanced expertise in designing, developing, and integrating instructional design tools.
• Demonstrate a track record of peer-reviewed research presentations and publications.
• Possess research competence to conduct empirical research projects independently and collaboratively with colleagues and doctoral students.
• Demonstrate commitment to seeking grant funding.
• Possess curriculum design expertise and exemplary teaching experience at both undergraduate and graduate levels in advanced learning technologies.
  
  

Preferred Qualifications

Required License/Registration/Certifications

Work Schedule:

varies based on assignment

Driving University Vehicle:

No

Security Sensitive:

This is a Security Sensitive Position.

Special Instructions:

Review of applications will begin immediately and will continue until the search is closed. To apply, submit a two-page letter of interest that encompasses your teaching and research, a curriculum vitae, and contact information for three references to https://careers.untsystem.edu/home.

For more information about joining us as faculty in the department of Learning Technologies, please visit our website https://lt.unt.edu/. You may direct specific inquiries to the Search Committee Chair: Dr. Lauren Eutsler, lauren.eutsler@unt.edu, 940-565-2539.

Benefits:

For information regarding our Benefits, click here.

EEO Statement:

The University of North Texas System is firmly committed to equal opportunity and does not permit -- and takes actions to prevent -- discrimination, harassment (including sexual violence) and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, facilities and employment practices. The University of North Texas System immediately investigates complaints of discrimination and takes remedial action when appropriate. The University of North Texas System also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist or participate in an investigative proceeding or hearing.