"Senior Research Scientist/Scholar - School of Engineering"

Senior Research Scientist/Scholar - School of Engineering

Company: Hampton University

Job Location: Hampton

Category: Computer Engineering

Type: Full-Time

Job description:

The Hampton University School of Engineering, Architecture and Aviation is seeking a candidate for a one-year joint appointment with the Division of Information Technology as a Senior Research Scientist/Scholar in Artificial Intelligence and Machine Learning. The position will be funded through a grant from Amazon Robotics (AR) and will be filled immediately or will remain open until it is filled. The position is located in Hampton, Virginia.

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:

• 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. 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 or 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.

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. Moses Garuba
Amazon Professor, Electrical and Computer Engineering
School of Engineering, Architecture, and Aviation
Hampton University Hampton, VA 23668
moses.garuba@hamptonu.edu

Contact:

We encourage email inquiries concerning this career opportunity and welcome the opportunity to answer questions from potential applicants.