AI + Education Tenured Faculty Position Description

Michigan engineers play a key role in solving societys greatest challenges. We anticipate the global technological and educational changes ahead positioning our institution to lead engineering education and research.

As part of the Provosts Faculty Expansion Program (FEP) we seek candidates with exceptional potential to expand our capacity for transformative inquiry in high-impact areas of research/scholarship and societal challenge. Targets of this open position are mid-career tenure-track faculty who will catalyze collaborate and provide intellectual and institutional leadership in areas aligned with: Generative AI and Engineering Education; Intelligent Learning Environments; AI and K-12 Education/Assessment; AI Literacy; AI and Ethics in Engineering; Robotics and Ethics Education; Cybersecurity and Ethics; and related areas.

We seek a scholar whose research and development programs have focused on the development and application of learning technologies to achieve various learning opportunities teaching practices policies and engineering and education systems. We also seek a scholar who has demonstrated the capacity to contribute to the creation and use of scholarship in both learning sciences and engineering with strong methodological training in quantitative qualitative or multiple methods who are able to teach at the undergraduate and graduate levels and who seek to influence practice and policy across both engineering and education professions.

This position seeks one tenure-track faculty member (with an emphasis on midcareer/senior candidates) who will hold a home appointment in Computer Science and Engineering (CSE) or Robotics (ROB) and as a core Engineering Education Research (EER) faculty. Candidates with expertise in artificial intelligence augmented reality and virtual reality particularly in applying these technologies to education may be of special interest.

Required Qualifications:

• PhD in engineering computer science computer engineering human-computer interaction robotics engineering education learning sciences or related field demonstrating an exemplary track record in research teaching and service commensurate with a tenured advanced associate or full professor appointment.
• An established program of research and publication.
• A track record of developing and securing grants to support research or the promise of developing such a record.
• A strong interest in advising and mentoring graduate students.
• Visionary leadership abilities a broad appreciation for the diverse perspectives within the College and Program and a strong interest in mentoring faculty.
• An ability to work with a diverse group of faculty staff students and administrators to achieve common goals.

Desired Qualifications:

• Strong methodological training in quantitative qualitative or multiple methods.