COSMOS Graduate Research Assistant (MLAI)

Current University of Arkansas System employees including student employees and graduate assistants need to log in to Workday via then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for Find Jobs for Students.

All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting the application process will be saved as a draft. You will be able to access and complete the application through My Draft Applications located on your Candidate Home page.

Closing Date:

Type of Position:

Graduate AssistantNo

Job Type:

Academic Term (Fixed Term)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 8900 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 Rocks thriving cultural community and a major component of the city and states 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 theApply 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 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 () 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:

• Bachelors 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 bachelors degree in Computer Science Information Science or a related discipline;

• 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 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;

• Ability to interact with people of diverse ethnic backgrounds;

• Communication skills writing skills and public speaking;

• Effective organizational skills.

Additional Information:

1500 monthlyResume

Special Instructions to Applicants:

Fadime Ledford ()
Grant Manager COSMOS Research Center

All application materials must be uploaded to the University of Arkansas System Career Site

Please do not send to listed recruitment contact.

Pre-employment Screening Requirements:

No Background Check Required

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 institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law including age race color national origin disability religion protected veteran status military service genetic information sex sexual preference or pregnancy. 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 Universitys 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.

Constant Physical Activity:

Manipulate items with fingers including keyboarding Repetitive Motion Sitting Standing Talking Walking

Frequent Physical Activity:

Manipulate items with fingers including keyboarding Repetitive Motion Sitting Standing Talking Walking

Occasional Physical Activity:

Manipulate items with fingers including keyboarding Repetitive Motion Sitting Standing Talking Walking

Benefits Eligible:

No