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 a traditional teaching institution to a more research-intensive institution. Hampton University is currently an 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.
It is pertinent to note that Hampton University is a recipient of an Amazon Robotics (AR) grant to support its work on Robotics, Artificial Intelligence, and Machine Learning. The position is a one-year appointment that may be renewed subject to the availability of funds.
Job Duties:
The individual selected for this position will be expected to:
- Conduct independent and collaborative research in AI/ML, and closely related areas aligned with Amazon Robotics funding and research priorities.
- Lead and contribute to the design, implementation, and evaluation of AI/ML models, algorithms, and systems in support of sponsored research projects.
- Conduct advanced research and publish papers in high-quality peer-reviewed journals and conferences.
- Contribute to the development, preparation, and submission of grant proposals to federal agencies, foundations, and industry partners.
- Serve as principal investigator or co-investigator on externally funded research projects, including managing scientific aims, timelines, and deliverables.
- Mentor undergraduate research assistants engaged in AI/ML related projects.
- Collaborate with faculty across disciplines to develop and execute joint research initiatives, and labs focused on AI/ML and its applications.
- Engage in seminars and guest lectures in the candidate’s area of expertise.
- Participate in research development activities, including workshops, symposia, and strategic planning for AI/ML research.
Qualifications:
The successful applicant must have a doctorate degree in either Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, or a closely related field with expertise in one or more of the following areas: robotics, machine learning, reinforcement learning, and artificial intelligence. At least five years of academic research experience in AI/ML at an R-1 or R-2 institution is required.
