Description

The Department of Electrical & Computer Engineering invites applicants for an annual 10-month position at the
Assistant, Associate, or Full Professor rank as part of a multi-position hiring initiative for Data-Driven AI & Its
Transformative Impact on Special Education. This hiring cluster aims to fill two positions, one in the School of Data
Science and the other in the Department of Electrical and Computer Engineering.

We seek faculty with expertise in Electrical & Computer Engineering or a related field with a primary focus on
applications in special education. They are expected to develop/maintain a vibrant, externally funded interdisciplinary
research program in computer vision, computer engineering, signal/image processing, Data Science, and AI/machine
learning, including but not limited to:

• Imaging and signal analysis of behavioral, neurodevelopmental, and neurocognitive deficits and their application
  in special education Assessment, diagnosis, and interventions for emotional intelligence and disability
• Novel theories, state-of-the-art algorithms, and architectures for learning and real-time applications in human
  and machine-centered interaction and recognition
• AI-driven adaptive learning systems, immersive visual learning environments, and visual perception, and their
  application in special education

Collaboration with other faculty in Electrical and Computer Engineering, the Department of Human Movement Studies
and Special Education, the School of Data Science, the Institute of Data Science, and the Vision Lab are expected.
Candidates will be considered for appointment at all ranks contingent upon appropriate qualifications.

Requirements

Other Responsibilities:

• Teach undergraduate and graduate courses
• Advise graduate students
• Collaborate with other faculty in the cluster to include Special Education, Electrical and Computer Engineering,
  School of Data Science, Institute of Data Science, and Vision Lab.
• Provide service to the department, college and the University.

Minimum Qualifications for Associate/Full Professor Candidates:

1. A Ph.D. in Electrical Engineering, Computer Engineering, or a closely related field is required.
2. Academic records that merit a tenured appointment in the Department of Electrical and Computer Engineering
3. A successful record in research and externally funded grants.
4. Demonstrated ability to interact and communicate clearly with internal and external constituencies

Preferred Qualifications:

• Postdoctoral experience is strongly preferred for Assistant Professor candidates.
• A strong publication record and/or experience with grant-funded research.
• Candidates whose research includes AI/machine learning for special education, from emotional intelligence with
  earlier and better understanding of neurodevelopment and neuro-cognitive deficits, and disabilities,
  development of AI-driven adaptive learning systems, AI-driven therapeutic tools, immersive virtual learning
  environment, and predictive analytic for fundamental research and applications in industry and medicine, and
  other applications.