Assistant Professor in Learning and Teaching with AI

Website University at Albany, State University of New York

The University at Albany, State University of New York, seeks an Assistant Professor (tenure-track) in Teaching and Learning with AI. The new hire will be a member of the UAlbany AI Institute. The successful candidate will provide evidence of expertise in AI and address how AI is integral to their research program. This position will be situated in the Department of Educational Theory and Practice, which offers programs for advanced study and research in Learning, Teaching, and Teacher Education; the Learning Sciences and Technology; Science, Mathematics, and Computing Education; Online Teaching and Learning; Language and Technology; Literacy, Language, and Culture; and TESOL/Second Language Acquisition.

We are seeking a scholar who conducts innovative research on learning and teaching with artificial intelligence (AI) and other related technologies. Responsibilities include developing and maintaining an active, high-profile research agenda focusing on AI-empowered learning and teaching; teaching graduate courses related to technology and STEM education in face-to-face, hybrid, and online learning formats; advising and mentoring master’s and doctoral-level students; and contributing to the professional community at the department, school, university, and national levels. A key responsibility of this position will be to provide leadership in our highly ranked graduate programs (e.g., MS in Curriculum Development and Instructional Technology), particularly in the areas of AI in education.

The nationally ranked and accredited programs of the School of Education have been the springboard to outstanding careers in numerous fields. At UAlbany, students participate in a community of scholarship with a legacy of enhancing education in New York State and the nation. Today, UAlbany is fulfilling a commitment to serve the needs of educators around the world.

The Department of Educational Theory and Practice (ETAP) is a vibrant and inclusive community of students and faculty. ETAP faculty have built working relationships with schools, universities, businesses, corporations, and government agencies locally, regionally, nationally, and internationally.

The School of Education is committed to creating equitable, just, inclusive, and supportive educational experiences that empower all students as they prepare to change the world in the fields of education, mental health, and beyond.



Minimum Qualifications:

  • A Ph.D. in learning sciences, educational technology, human-computer interaction, computer science education, curriculum and instruction, or a related field, from a college or university accredited by a U.S. Department of Education or internationally recognized accrediting organization by May 2023.
  • Applicants must address in their application their ability to work with a culturally diverse population.
  • Applicants must demonstrate evidence of artificial intelligence in their existing research program.
  • A record of, or demonstrated ability to, develop a program on the transformative advances of learning and teaching using artificial/augmented intelligence, learning analytics, or other AI-related technologies. Example research areas must incorporate AI-empowered technologies in areas such as: enhancing learners’ reflective teaching in STEM and beyond; designing creative and inclusive learning spaces in K-12 schools, higher education, or informal learning settings; reconfiguring learning pathways, ecologies, and assessments; and developing AI-enriched curriculum for learners of different age groups
  • Applicants must address their plan and ability to teach undergraduate and graduate courses in varying modalities (in-person, online, and/or hybrid).
  • Applicants must have a record of or demonstrated potential for obtaining external funding for their research.
  • Experience and evidence of collaborative work with researchers and education partners

Preferred Qualifications:

  • A record of research in the field of teaching and learning in AI
  • Experience teaching undergraduate and/or graduate courses.
  • Demonstrated success in securing externally funded grants


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