Professor or Advanced Associate Professor of STEM Learning Sciences

Virginia Commonwealth University•Richmond, VA

1d•$180,000 - $260,000•Hybrid

About The Position

Virginia Commonwealth University’s School of Education seeks a prominent educational researcher whose work spans at least two of STEM education, learning sciences, and artificial intelligence/machine learning. This is a nine-month, tenured faculty appointment at the rank of Associate Professor or Professor, with an anticipated start date of August 10, 2027; the start date is negotiable. The position has a competitive salary. The successful candidate will contribute to the School of Education’s research funding goals, produce high-quality scholarship in STEM education connected to learning sciences and/or artificial intelligence/machine learning, and collaborate with faculty on transformative work. The School’s research priorities align with One VCU’s mission to enrich the human experience, advance societal wellbeing, and optimize health through collaborative, transdisciplinary research. Faculty conduct federally funded research through the School and affiliated centers, including the Center for Innovation in STEM Education, the Partnership for People with Disabilities, and the Research Rehabilitation and Training Center. The search prioritizes a nationally or internationally renowned scholar with expertise and funding aligned with areas such as STEM education, learning sciences, implementation science, and AI/machine learning in education. The university values varied perspectives and welcomes candidates whose scholarship, teaching, professional experience, and collaborative work contribute to a supportive, intellectually vibrant community.

Requirements

Earned doctorate in education or a related field closely related to STEM education.
Distinguished record of teaching, scholarship, and professional service commensurate with tenure at the rank of associate or full professor at a research-intensive university.
Well-developed scholarly or research portfolio, demonstrated through high-quality publications, that complements existing School of Education expertise.
Robust track record of continuously securing extramural research funding.
Record of effective leadership and capacity to promote a strong collegial culture and climate.
Demonstrated ability to work in and foster an environment of respect, professionalism, and civility with faculty, staff, and students from all backgrounds and experiences, or a commitment to do so.
Ability to develop and support collaborative relationships across university and community settings.

Nice To Haves

Training in learning sciences and/or machine learning or AI in education and their applications to STEM education.
Experience leading large grant proposals and funded projects as PI or Co-PI.
Evidence of collaborations with research centers, institutes, and/or community agencies or organizations.
Evidence of service and leadership in national or international professional associations.
Evidence of interdisciplinary collaboration in a research program.
Experience working effectively across cultural, disciplinary, institutional, and community contexts.
Exceptionally strong records of research, extramural funding, and teaching and leadership within interdisciplinary teams.

Responsibilities

Contribute to the School of Education’s research funding goals.
Produce high-quality scholarship in STEM education connected to learning sciences and/or artificial intelligence/machine learning.
Collaborate with School of Education faculty on transformative work.
Conduct and/or translate research responsive to the needs and experiences of varied populations and contexts, with attention to access, implementation, engagement, or outcomes.
Develop and support collaborative relationships across the university and community, including school systems, state agencies, research institutes, and policy networks.
Provide teaching, scholarship, professional service, and leadership commensurate with tenure at the associate or full professor rank.