Description
The Hampton University School of Engineering, Architecture and Aviation is seeking a candidate for appointment in the Department of Electrical and Computer Engineering as a Research Assistant Professor of Autonomy and Signal Processing. The position is located in Hampton, Virginia and will remain open until it is filled.
Founded in 1868, Hampton University (www.hamptonu.edu) is located on approximately 300 acres of the Virginia Peninsula. It is a privately endowed, co-educational, nonsectarian institution of higher education and is fully accredited by the Southern Association of Colleges and Schools (SACS).
Hampton University, a Historically Black College and University (HBCU), is enjoying tremendous growth and development from traditional teaching to a more research-intensive institution. Hampton University is currently a R2 Carnegie classification institution of higher learning with a primarily undergraduate student population of approximately 4,200 students pursuing degrees in diverse areas of study.
Hampton University is a consortium member of the Research Institute for Tactical Autonomy (RITA), which is a University Affiliated Research Center (UARC) funded by the Department of Defense/War (DoD/DoW) / Department of the Air Force. The successful candidate must have U.S. citizenship due to federal export control and security compliance requirements of the RITA UARC.
Duties and Responsibilities
The successful applicant must have a master’s degree or doctorate degree in either Computer Engineering, Computer Science, Electrical Engineering, or a closely related field with expertise in one or more of the following areas: machine learning, reinforcement learning, artificial intelligence, signal processing, radar instrumentation, and autonomy.
The successful candidate will possess the following skills and abilities:
An established record of research: The candidate should have a strong track record of publishing high-quality research papers in top-tier journals and conferences.
A deep understanding of Al/ML: The candidate should have a deep understanding of the theoretical foundations of Al/ML, as well as the latest advances in these fields. They should also be familiar with a variety of Al techniques.
A proven ability to mentor students: The candidate should have a proven ability to mentor and train undergraduate researchers. They should be able to create a supportive learning environment that encourages students to reach their full potential.
