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Computer Science Research Assistant Jobs in Hampton, VA

Prescient Edge

Senior Computer Scientist

Chesapeake, VA · On-site

$130K - $190K/yr

Job Title Senior Computer Scientist Location Norfolk, VA 23324 US (Primary) Category Research, Development, and Engineering Job Type Full-Time Career Level Staff Education Master's Degree Travel ...

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All JobsComputer Science Research JobsComputer Science Research Assistant JobsComputer Science Research Assistant Jobs in Hampton, VA

Computer Science Research Assistant information

See Hampton, VA salary details

$8

$21

$30

How much do computer science research assistant jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for computer science research assistant in Hampton, VA is $21.17, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $24.62 per hour, depending on experience, location, and employer.

What is a computer science research assistant?

A Computer Science Research Assistant supports professors or researchers in conducting experiments, analyzing data, and developing software or algorithms. They may assist with literature reviews, coding, debugging, or testing to advance research projects. The role often involves working with programming languages, machine learning, cybersecurity, or other specialized topics. It provides valuable experience for students or professionals looking to deepen their knowledge in the field.

What are the typical duties and daily responsibilities of a computer science research assistant?

As a Computer Science Research Assistant, your daily responsibilities often include assisting with data collection and analysis, developing or testing software prototypes, conducting literature reviews, and helping prepare reports or presentations for research findings. You may also collaborate closely with faculty, graduate students, or industry partners, contributing to coding tasks, experimental setups, and troubleshooting technical issues as they arise. The role frequently involves both independent problem-solving and teamwork, providing a supportive environment to deepen technical skills and gain hands-on research experience. This position is an excellent opportunity to develop your research portfolio, learn advanced computing concepts, and prepare for potential graduate study or specialized tech careers.

What are the key skills and qualifications needed to thrive as a computer science research assistant?

To thrive as a Computer Science Research Assistant, you need strong analytical skills, proficiency in programming languages (such as Python, Java, or C++), and a solid understanding of algorithms and data structures, usually evidenced by coursework or a relevant degree. Familiarity with research tools, version control systems (like Git), and possibly certifications in data analysis or machine learning are advantageous. Excellent problem-solving abilities, attention to detail, and effective written and verbal communication help individuals excel when collaborating on research projects. These competencies enable you to support rigorous research, contribute to innovative solutions, and work efficiently as part of an academic or industry research team.

What job categories do people searching Computer Science Research Assistant jobs in Hampton, VA look for?

The top searched job categories for Computer Science Research Assistant jobs in Hampton, VA are:

What cities near Hampton, VA are hiring for Computer Science Research Assistant jobs?

Cities near Hampton, VA with the most Computer Science Research Assistant job openings:

Computer Science Research Assistant jobs near you
Infographic showing various Computer Science Research Assistant job openings in Hampton, VA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $44,042 per year, or $21.2 per hour.

Research Assistant Professor of Software Engineering & Optimization - School of Engineering, Archite

Hampton University Faculty

Hampton, VA • On-site

$80K - $90K/yr

Full-time

Re-posted 23 days ago

Job description

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. This 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, 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 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 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 the one or more of the following areas: machine learning, reinforcement learning, artificial intelligence, optimal control theory, optimization, cognitive science, social science, tactical 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 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.
  • Understanding algorithm development and optimization (genetic algorithms LP/SQP) techniques.
  • State machine learning (a plus)

Salary is based on qualifications $80,000-$90,000
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 form electronically (only) to joyce.shirazi@hamptonu.edu:
Dr. Joyce Shirazi
Dean, School of Engineering, Architecture and Aviation
Hampton University
Hampton, VA 23668
joyce.shirazi@hamptonu.edu
Forms
Visit https://home.hamptonu.edu/hr/employment/ to retrieve the faculty employment application and other supplemental application materials.

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