The Department of Electrical Engineering and Computer Science (EECS) at The University of Tennessee, Knoxville (UTK) is seeking candidates for a tenure track faculty position at the assistant or associate professor level in the area of controls, communications, and signal and image processing. Applicants should have an earned Ph.D. in Electrical Engineering, Computer Engineering, or a related field. Successful candidates will be expected to teach at both undergraduate and graduate levels, to establish a vigorous funded research program, and to have a willingness to collaborate with other faculty in research.
EECS is housed in a new $37.5 million teaching and research facility completed in 2012. The department currently has an enrollment of more than 800 undergraduate and 275 graduate students, with a faculty of 45, and research expenditures that exceed $20 million per year. UTK is a leading research institution with strong research partnerships with organizations such as the nearby Oak Ridge National Laboratory (ORNL) where several UT faculty have joint positions or research ties.
The Knoxville campus of the University of Tennessee is seeking candidates who have the ability to contribute in meaningful ways to the diversity and intercultural goals of the University. The University of Tennessee welcomes and honors people of all races, genders, creeds, cultures, and sexual orientations, and values intellectual curiosity, pursuit of knowledge, and academic freedom and integrity. Interested candidates should apply here and submit a cover letter, a curriculum vitae, a statement of research and teaching interests, and contact information for three references. Review of applications will begin on December 15, 2017, and continue until the positions are filled.
The University of Tennessee is an EEO/AA/Title VI/Title IX/Section 504/ADA/ADEA institution in the provision of its education and employment programs and services. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, or covered veteran status.