Graduate Assistant/Research - Computer Science

University of Arkansas - Little Rock, AR

Part-time - Entry Level

Little Rock, AR

5,001-10,000 employees

Educational Services

About the position

The Graduate Assistant/Research position in the Department of Computer Science at the University of Arkansas at Little Rock is designed for graduate students to provide professional-level support in research and creative activities under the supervision of faculty members. This part-time role involves assisting with various research projects, data collection, and development work, contributing to the academic and research mission of the university.

Responsibilities

• Perform tasks and assist faculty members in research activities for a designated project.
• Develop work plans in accordance with research objectives.
• Assist in the collection of data and/or conduct independent research specific to the research project.
• Perform development work for the project, including statistical analysis, data mining, programming, and web design.
• Conduct testing, implementation, and evaluation of project deliverables.
• Coordinate project meetings and lead project discussions.
• Prepare reports and publications as needed.
• Assist in other specialized administrative, technical, or editorial duties connected to the research project.

Requirements

• Bachelor's Degree from an accredited institution of higher education.
• Regular admission to a UA Little Rock graduate degree program or good standing with the UA Little Rock Graduate School for continuing graduate students.
• Ability to work the required hours (FT-50% - 20 hours per week/PT-25% - 10 hours per week) with regular attendance.

Nice-to-haves

• Programming in languages such as Python or Java for Desktop, Server Side Web Apps, or Cloud.
• Web Design and Development Skills involving HTML, CSS, and Javascript.
• Database Development and Writing SQL Queries (Oracle, MS SQL Server).
• Application Development Skills (e.g., SDLC, Agile).
• Project Management Skills.
• IT Infrastructure knowledge including hardware, operating systems, networks, and cloud computing.
• Statistics, Data Mining, and Machine Learning.
• Information Quality, Data Munging, and Data Wrangling.

Benefits

• $1500 stipend per month