About The Position

The Department of Curriculum and Instruction in the College of Education at The University of Texas at Austin seeks a tenure-track assistant professor whose scholarship advances Learning Technologies in EC–12 education and teacher education. The successful candidate will examine applications, policies, innovations, and implications of learning technologies in these contexts. Areas of scholarship may include classroom-based technology applications; youth and educators’ uses of generative AI and emerging technologies; and use of generative AI to reimagine curriculum design, assessment, or teaching. The department welcomes research that explores the future of education through generative AI and emerging technologies while remaining grounded in learners’ and communities’ lived experiences, cultural knowledge, and epistemologies. The successful candidate will develop or continue a significant research program that contributes to Learning Technologies and has implications for educators, learners, schools, community organizations, or higher education. They will be prepared to secure external grants to support research with meaningful impact. The role includes teaching and mentoring undergraduate and graduate students. In the Learning Technologies graduate program, courses may include instructional design, learning theory, research methods, design-based research, online and blended learning, educational data and AI, technology-supported curriculum and instruction, and teacher education. The successful candidate will also participate in or create interdisciplinary collaborations exploring innovative and responsible uses of AI and Learning Technologies. The College of Education at UT Austin has approximately 3,500 undergraduate and graduate students and more than 300 faculty, with annual research expenditures of approximately $60 million. UT Austin is a major research university with approximately $1.3 billion in annual research expenditures and more than 55,000 students. The university offers interdisciplinary research opportunities through campus partnerships and is located in Austin, Texas.

Requirements

  • Doctoral degree in Learning Technologies, Curriculum and Instruction, education, learning sciences, educational technology, instructional design, or a related field, earned by July 31, 2027.
  • Potential for or record of research examining applications, implications, or innovations in AI and emerging technologies within EC–12 or teacher education contexts.
  • Potential for or record of scholarly productivity, including refereed publications and external funding.
  • Potential for or record of teaching and mentoring graduate students through chairing dissertation committees and guiding doctoral research projects.

Nice To Haves

  • Teaching experience in EC–12 settings and/or in teacher preparation program courses.

Responsibilities

  • Develop or continue a significant research program in Learning Technologies relevant to EC–12 education or teacher education.
  • Pursue external grants to support a research program with meaningful impact.
  • Teach and mentor undergraduate and graduate students.
  • Teach courses in the Learning Technologies graduate program, potentially in instructional design, learning theory, research methods, design-based research, online and blended learning, educational data and AI, technology-supported curriculum and instruction, and teacher education.
  • Participate in existing interdisciplinary collaborations or create new collaborations focused on innovative and responsible uses of AI and Learning Technologies.
  • Mentor graduate students, including through chairing dissertation committees and guiding doctoral research projects.
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