The Department of Electrical and Computer Engineering, College of Engineering at Texas A&M University invites applications for one full time tenured/tenure track faculty assistant, associate, or full professor position with a 9-month academic appointment, and the possibility of an additional summer appointment contingent upon need and availability of funds, beginning fall of 2025. The successful applicant will teach both at the undergraduate and graduate level; engage in research activities; advise and mentor students; engage in both internal and external service activities within the general area of machine-learning and artificial intelligence (ML/AI); participate in all aspects of the department’s activities; and serve the profession.
Consideration will be given to Electrical and Computer Engineering candidates with strong expertise in the broad area of machine learning and artificial intelligence, with application areas related to computer vision, image/video processing, language processing, signal processing for communications, and control systems. Preference will be given to candidates with strong expertise in foundational research on machine learning algorithms, optimization, and statistics.
As a major department with an enrollment of about 1,500 undergraduate, 300 Ph.D. and 450 master’s students pursuing degrees in electrical and computer engineering, our mission is fourfold to create new knowledge and challenge young minds by participation in the process of discovery and invention, to educate electrical and computer engineers with a solid background of fundamentals, to prepare graduates for an exciting future and to serve the society through research, education and outreach activities. Applicants should consult the department’s website to review our academic and research programs (engineering.tamu.edu/electrical).
Requirements
For appointments at Assistant Professor, Associate Professor, and Professor level, applicants must have a doctoral degree in Electrical and Computer Engineering or a closely related engineering or science discipline. Strong written and verbal communication skills are required. Although appointments at all three ranks are possible, strong preference will be given to candidates at the assistant professor level.
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