The Hampton University School of Engineering, Architecture, & Aviation is seeking a candidate for appointment in the Department of Electrical and Computer Engineering as a Research Assistant Professor of Artificial Intelligence and Machine Learning. The position will be filled immediately or will remain open until 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, an Historically Black College and University (HBCU), is enjoying tremendous growth and development from a traditionally teaching to a more research-intensive institution. Hampton University is currently a Masters-level institution of higher learning with a primarily undergraduate student population of approximately 4,600 students pursuing degrees in diverse areas of study.
It is pertinent to note that 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/Department of the Air Force. The selected candidate will conduct research for the RITA UARC and must be a US Citizen. This is a 12-month position with the opportunity for renewal.
Duties and Responsibilities
Hampton University is seeking a candidate for an appointment at the Research Assistant Professor level in Artificial Intelligence and Machine Learning. The individual selected for this position will be expected to contribute to the research missions of the Departments of Electrical & Computer Engineering and the RITA UARC by conducting research related to Artificial Intelligence and Machine Learning The selected candidate will be responsible for supervising a graduate students and working with the Engineering and Aviation faculty to complete research tasks assigned by the RITA UARC.
Qualifications
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 machine learning, reinforcement learning, artificial intelligence, optimal control theory, autonomy, and/or cloud-based computing.
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 AI/ML: The candidate should have a deep understanding of the theoretical foundations of AI/ML, as well as the latest advances in these fields. They should also be familiar with a variety of AI techniques.
- A proven ability to mentor students: The candidate should have a proven ability to mentor and train undergraduate and graduate students and postdoctoral researchers. They should be able to create a supportive learning environment that encourages students to reach their full potential.
- A commitment to diversity and inclusion: The candidate should be committed to working in a diverse and inclusive research environment.
How to Apply
Review of applications will begin immediately and will continue until the position is filled. The compensation package will be commensurate with experience. All interested applicants should submit a cover letter, curriculum vitae, research statement and three letters of recommendation to:
Dr. Demetris L. Geddis
Assistant Dean, School of Engineering, Architecture, and Aviation
Professor, Electrical and Computer Engineering
Hampton University Hampton, VA 23668
demetris.geddis@hroffice
Office: (757) 727 – 5299
Contact:
We encourage inquiries concerning this career opportunity and welcome the opportunity to answer questions from potential applicants.
Dr. Demetris Geddis
Telephone: (757)727-5299
Email: demetris.geddis@hamptonu.edu