Research Assistant Professor of Software Engineering & Optimization

Remote Full-time
Research Assistant Professor of Software Engineering &
Optimization

Hampton University Faculty

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 Software Engineering &
Optimization . 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 Doctorate-level institution of higher learning with a
primarily undergraduate student population of approximately 3,800
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 .

Duties and Responsibilities

Hampton University is seeking a candidate for an appointment at the
Research Assistant Professor of Software Engineering &
Optimization . 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 Autonomy, Artificial
Intelligence and Machine Learning. The selected candidate will be
responsible for supervising undergraduate 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 researchers.
They should be able to create a supportive learning environment
that encourages students to reach their full potential.

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 a
completed Hampton University Application for Faculty Employment
electronically (only) to [email protected]
:

Dr. Joyce Shirazi

Dean, School of Engineering, Architecture and Aviation

Hampton University

Hampton, VA 23668

[email protected]

Apply Now

Apply Now →

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