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COSMOS - Graduate Research Assistant; ML​/AI

Job in Little Rock, Pulaski County, Arkansas, 72215, USA
Listing for: University of Arkansas System
Part Time position
Listed on 2026-02-17
Job specializations:
  • Business
    Data Scientist
Salary/Wage Range or Industry Benchmark: 11250 USD Monthly USD 11250.00 MONTH
Job Description & How to Apply Below
Position: COSMOS - Graduate Research Assistant (ML/AI)
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Type of Position:

Graduate Assistant

Workstudy Position:

No

Job Type:

Academic Term (Fixed Term)

Work Shift:

Sponsorship Available:

No

Institution Name:

University of Arkansas at Little Rock

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.

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening.

To apply for the position, please click the Apply link/button.

If you have a disability and need assistance with the hiring process please contact Human Resources at .

For general application assistance or if you have questions about a job posting, please contact Human Resources at .

Department:

COSMOS

Department's Website:

(Use the "Apply for this Job" box below)./

Summary of

Job Duties:

The Graduate Research Assistant will develop machine learning and artificial intelligence (ML/AI)-driven socio-computational models to analyze social media data, particularly video-based social media data. Analysis will include (but not limited to) content analysis and network analysis. Content will include text, multimedia, and metadata. The Graduate Research Assistant will work with the research team to develop predictive models of socio-technical behaviors and identify key actors and key groups responsible for coordinating cyber campaigns.

This is an on-campus position. Position reports to Dr. Nitin Agarwal (nxagarwal), 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.

Qualifications:

Required Education and/or

Experience:

* 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.

Preferred Education and/or

Experience:

* The candidate must have a bachelor's degree in Computer Science, Information Science, or a related discipline;

* A candidate with experience in computer programming and data management will be given preference;

* Experience with graph theory and graphic libraries such as Gephi or Network

X.;

* Experience with crawling web data;

* Familiar with UNIX-based systems such as Linux.

Job Duties and Responsibilities:

* Conduct research applying machine learning and AI methods to social media data;

* Assist with video-based online information environment analysis;

* Assist with data collection, cleaning, preprocessing, analyzing findings from the data, writing research findings, and presenting the research at conferences, scientific venues, program reviews, and other venues;

* Assist in preparing reports and publications;

* Coordinate meetings and lead discussions;

* Other tasks as needed.

Knowledge, Skills, and Abilities:

* Extensive knowledge of R or Python, including data analysis and graphing libraries such as Pandas, Matplotlib, Plotly, as well as ML libraries such as SK-Learn, Tensor Flow;

* Experience with machine learning techniques and models such as classifiers, transformers, clustering, etc.;

* Knowledge of DB systems and SQL language;

* Knowledge of computational social science and social network analysis;

* Ability to interact with people of diverse ethnic backgrounds;

* Communication skills, writing skills, and public speaking;

* Effective organizational skills.

Additional Information:

Salary Information:

$11,250-$13,500

Required Documents to Apply:

Resume

Optional Documents:

Special Instructions to Applicants:

Recruitment Contact Information:

Fadime Ledford…
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