COSMOS - Graduate Research Assistant (Developer)

University of Arkansas System • Little Rock, AR

7d • Onsite

About The Position

The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation.

The Graduate Research Assistant will transition socio-computational models to usable tools. The Graduate Research Assistant will work with the research team in transitioning predictive models of socio-technical behaviors on a variety of social media platforms (particularly, video-based platforms) to usable tools/software to identify key actors and key groups. This is an on-campus position.

This position reports to Dr. Nitin Agarwal ([email protected]), Maulden-Entergy Endowed Chair and Distinguished Professor and Director, COSMOS Research Center, UA-Little Rock. This position is governed by state and federal laws, and agency/institution policy.

Requirements

• Bachelor’s Degree from an accredited institution of higher education
• Regular admission to a graduate degree program or good standing with the 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.
• Extensive knowledge of Java or Python, including data analysis and graphing libraries such as Pandas, Matplotlib, Plotly
• Familiar with MVC architecture
• Familiar with Javascript or related frameworks (Node, React, …)
• Familiar with HTML DOM and CSS
• Knowledge of DB systems and SQL language
• Ability to interact with people of diverse ethnic backgrounds
• Communication skills, writing skills, and public speaking
• Effective organizational skills.

Nice To Haves

• A candidate with a bachelor’s degree in Computer Science, Information Science, or a related discipline will be given preference
• A candidate with experience in computer programming and data management will be given preference
• Knowledge of computational social science and social network analysis
• Experience with machine learning techniques and models such as classifiers, transformers, clustering, etc.
• Experience with graph theory and graphic libraries such as Gephi or NetworkX
• Familiar with UNIX-based systems such as Linux.

Responsibilities

• Contribute to software development for transitioning research to publicly available web tools.
• Assist in preparing reports, software guides, tutorials, and publications.
• Coordinate meetings and lead discussions.
• Other tasks as needed.

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level