Posting Details Job Title Faculty in Electrical & Computer Engineering (Tenure Track/Tenured) Department AI CLUSTER HIRE INITIATIVE Position Number F1082A Job Description The Department of Electrical & Computer Engineering invites applicants as part of a multi-position hiring initiative for Data-Driven AI & Its Transformative Impact on Special Education. We seek faculty with expertise in Electrical & Computer Engineering or a related field. They are expected to lead the development of novel theory, state-of-art algorithms, and architectures for learning and real-time applications in human and machine-centered interaction and recognition, behavioral and neuro-cognitive deficits, and biomedical imaging and signal analysis, based on the disciplines of computer vision, signal/image processing, and AI/machine learning. This appointed is expected to be at the rank of Assistant Professor, but an appointment at a higher rank will be considered for exceptionally qualified candidates. This faculty member will develop/maintain a vibrant, externally funded interdisciplinary research program in artificial intelligence (AI)/machine learning (ML) and data science. This research program will have focused application in special education and overall education areas, including emotional intelligence with earlier and better understanding, AI-driven adaptive learning systems, AI-driven therapeutic systems, immersive virtual learning environment, predictive analytics on behavior data and symptomology and AI-driven visual perception for special education. Collaboration with other faculty in the Electrical and Computer Engineering, the Department of Special Education, the School of Data Science, the Institute of Data Science, and the Vision Lab is expected. Other Responsibilities: + Teach undergraduate and graduate courses + Advise graduate students + Collaborate with other faculty at Special Education, Electrical and Computer Engineering, the School of Data Science, the Institute of Data Science, and the Vision Lab. + Provide service to their department and the University. The focus of this cluster hire is the interdisciplinary area of data-driven AI and its transformative impact on special education that serves people with various chronic health conditions and disabilities. AI and Machine Learning (ML) techniques are poised to significantly change many practices in special education, from emotional intelligence with earlier and better understanding of behavioral and neuro-cognitive deficits. Development of AI-driven adaptive learning systems, AI-driven therapeutic tools, immersive virtual learning environment and predictive analytics may benefit from availability of large-scale behavior and neuro-cognitive data. A few well-recognized examples include use AI-based computer vision techniques to recognize and identify subtle visual signs for early detection of autism spectrum disorder ( ASD ), attention deficit hyperactivity disorder ( ADHD ), developmental disabilities, and Alzheimer and other dementia. Position Type FullTime Type of Recruitment General Public Type of Recruitment General Public Minimum required education and/or special licenses, registrations, trainings, or certifications A Ph.D. in Electrical Engineering, Computer Engineering, or a closely related field is required. Minimum required level and type of experience, knowledge, skills, and abilities Candidates for Associate/Full Professor positions must have: + Academic records that merit a tenured appointment in the Department of Electrical and Computer Engineering + A successful record in research and externally funded grants. + Demonstrated ability to interact and communicate clearly with internal and external constituencies. There are no minimum qualifications of this kind for an Assistant Professor appointment. Preferred Qualifications Postdoctoral experience is strongly preferred for Assistant Professor candidates. Other preferred qualifications include: + 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 behavioral and neuro-cognitive deficits, 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, are preferred. Conditions of Employment Employment is conditional upon the successful completion and review of a criminal background check. Location Norfolk, VA Job Open Date 11/06/2024 Application Review Date 12/18/2024 Open Until Filled Yes Application Instructions Interested applicants should send the following to https://jobs.odu.edu/postings/21903: + A letter of application. + A curriculum vitae. + Samples of scholarly work. + Unofficial graduate transcripts. + The names and contact information for three professional references. Review of applicants will begin December 18, 2024, and the position will remain open until it is filled. For more information about this position, please contact: Dr. Khan Iftekharuddin at kiftekha@odu.edu. Telework Friendly No Equity Statement It is the policy of Old Dominion University to provide equal employment, educational and social opportunities for all persons, without regard to race (or traits historically associated with race including hair texture, hair type, and protective hairstyles such as braids, locks, and twists), color, religion, sex or gender (including pregnancy, childbirth, or related medical conditions), national origin, gender identity or expression, age, veteran status, disability, political affiliation, sexual orientation or genetic information. Individuals from minoritized communities, women, veterans and individuals with disabilities are encouraged to apply. Reasonable Accommodation Request If you are an individual with a disability and require reasonable accommodation, please contact the Office of Institutional Equity & Diversity at (757) 683-3141. Pay Transparency Nondiscrimination Provision The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or © consistent with contractor’s legal duty to furnish information. About the College https://www.odu.edu/engineering About the Department About the Department of Electrical and Computer Engineering: The Department of Electrical and Computer Engineering ( ECE ) within the Batten College of Engineering and Technology is committed to delivering world-class academic programs, conducting cutting-edge research, and serving the University, the Commonwealth of Virginia, and the broader professional community. Our department offers undergraduate majors in Electrical Engineering, Computer Engineering, and in Modeling and Simulation Engineering within Computer Engineering. At the graduate level, we provide master’s and doctoral programs with concentrations in Electrical and Computer Engineering, as well as Biomedical Engineering. Additionally, we offer a Doctor of Engineering degree focusing on Cybersecurity. The department’s 29 faculty members are leaders in their fields, including eminent scholars and endowed professors who have earned prestigious distinctions such as fellowships in top professional societies. Our faculty also serve as directors of renowned research centers Relevant to this position, ECE faculty serve as directors of the Applied Research Center at Jefferson Lab and of the Institute of Data Science. For more information, visit: https://www.odu.edu/electrical-computer-engineering Posting Specific Questions Required fields are indicated with an asterisk (*). + * How did you hear about this employment opportunity? + The Chronicle of Higher Education (website or print) + Higheredjobs.com + DiverseJobs.com + InsightIntoDiversity.com + Jobs.Virginia.gov + Old Dominion University website + Virginia Pilot (website or print) + Richmond Times Dispatch (website or print) + Academic Keys + Other + If you selected "Other," how did you hear about this employment opportunity? (Open Ended Question) Applicant Documents Required Documents + Cover Letter/Letter of Application + Curriculum Vitae + Writing Sample 1 + Unofficial Graduate Transcripts + Contact Information for Professional References Optional Documents