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Assistant Teaching Professor

Department of Learning Technologies, Design & School Library Media (LTDM)

College of Education

COE-3922L

Towson University:

Towson University (TU) is one of the nation's top 100 public universities. Located north of Baltimore, TU currently enrolls over 19,000 students and is the second-largest university in the prestigious University System of Maryland. Towson University fosters a climate that is grounded in respect to cultivate the intellectual and personal growth of the entire university community.

Position:

The College of Education, Department of Learning Technologies, Design & School Library Media (LTDM) at Towson University invites applications for a non-tenure, 9-month Assistant Teaching Professor position in the Learning Design/Instructional Technology programs. Spring 2027 preferred start date. The LTDM Department offers Ph.D., M.S., and certificate programs in instructional design and development, educational technology, and school library media. It also offers undergraduate courses in "integrating technology in teaching and learning," "artificial intelligence for education," and "cybersecurity for educators" for prospective teachers and other interested undergraduates, as well as several sections of general education freshman research seminars.

Qualifications:

The teaching-focused faculty position emphasizes computing, artificial intelligence (AI), data science, and advanced technology integration, grounded in learning design and learning sciences. The successful candidate will contribute to undergraduate and/or graduate programs by designing and teaching innovative, student-centered courses that engage learners through problem- and project-based learning, promote inclusive excellence, and prepare students to apply computational and data-driven approaches to real-world challenges. This role is ideal for educators who bridge technical expertise with evidence-based teaching practices and who are passionate about broadening participation in computing and learning technologies.

Successful candidates will have:

       earned a master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Learning Sciences, Cognitive Psychology, Educational Technology, or a closely related field;

       demonstrated commitment to culturally responsive teaching and mentoring diverse student populations;

       show evidence of teaching experience or strong potential for excellence in teaching at the undergraduate and/or graduate level;

       demonstrated expertise in at least one of the following areas: Artificial intelligence or machine learning; Data science or data analytics; Computing/Computer Science; Cognitive Psychology/Learning Sciences;

       show familiarity with ethical, societal, and policy issues related to AI and data science;

       evidence of skill in designing authentic, real-world learning experiences;

       demonstrated commitment to continuous improvement through reflective and evidence-based teaching;

       show strong communication and collaboration skills; and

       evidence of pedagogical scholarship, curriculum development, or teachingrelated grants.

Responsibilities:

• Design and teach courses in areas such as: Artificial intelligence and machine learning; Data science and data literacy; Computing foundations (e.g., programming, algorithms, systems); integrating advanced learning technology in teaching and learning; ethics and societal impacts of AI and computing
• Develop interdisciplinary, project-based learning experiences grounded in authentic problems.
• Continuously assess and improve courses using student feedback, learning data, and reflective practice.

        Develop scholarship and curriculum development through engagement in professional development and reflective, evidence-based teaching.

Application Process:

Review of applications begins immediately and continues until the position is filled. Submit a cover letter, curriculum vitae, candidate's reflections, and descriptions of your experience and background that match the position qualification, graduate transcripts, and three reference letters to the link below.

Click here to apply. Please note that the search number for which you are applying is COE-3922L.

Please be sure to visit the Applicant Data Form to complete a voluntary online form. All data collected is for internal, state, and/or federal reporting and will not be used for other purposes.

Salary and Benefits:

Targeted salary range: $50,000 - $55,000, commensurate with experience.

Benefits: TU offers a comprehensive benefits package that includes excellent health, life and retirement plans; and tuition remission. To learn more about our benefits, click here for regular faculty/teaching professor or here for contingent teaching professor. TU also offers a variety of great perks and discounts, which can be found here.

Background Check:

A Criminal Background Investigation is required for the hired candidate, and the results may impact employment.

COVID-19 Statement:

The safety of our students, faculty, staff, and neighbors has been our top priority and the focus of every decision we have made since the earliest days of the COVID-19 pandemic. Therefore, the University System of Maryland (USM) has strongly encouraged full COVID vaccination and up-to-date booster shots (when eligible) for all faculty, staff, and students at all USM schools, as both a reasonable and necessary means of protecting our health and safety.