COSMOS - Graduate Research Assistant (ML/AI)

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 501-916-3180.

For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-916-3180.

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 NetworkX.;

• 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, TensorFlow;

• 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:

All application materials must be uploaded to the University of Arkansas System Career Sitehttps://uasys.wd5.myworkdayjobs.com/UASYS

Please do not send to listed recruitment contact.

The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

The University of Arkansas is an equal opportunity, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.

Persons must have proof of legal authority to work in the United States on the first day of employment.

All application information is subject to public disclosure under the Arkansas Freedom of Information Act.