Faculty in Electrical & Computer Engineering for Data-Driven AI in Special Education (Tenure Track/Tenured)

Title: Faculty in Electrical & Computer Engineering for Data-Driven AI in Special Education (Tenure Track/Tenured)

Agency: ACADEMIC AFFAIRS

Location: Norfolk, VA

FLSA:

Hiring Range:

Full Time or Part Time:

Additional Detail

Job 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 the 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 is expected.

Candidates will be considered for appointment at all ranks contingent upon appropriate qualifications.

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:

Additional Considerations:

• 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 neuro-development 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 .