COSMOS - Graduate Research Assistant (Researcher)
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 help develop socio-computational models to advance our understanding of coordinated cyber campaigns grounded in the dynamics of various social and communication processes such as group formation, activation, decentralized decision-making, and collective action. The Graduate Research Assistant will help operationalize the developed socio-computational models on a variety of social media platforms (particularly, video-based platforms). This is an on-campus position. 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
- The candidate must have a bachelor’s degree in Computer Science, Information Science, Mathematics, Social Science, or a relevant discipline
- 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
- Experience with data analysis - Microsoft Suite will be considered but preference is given to candidates with programming experience
- Experience in reporting and technical writing
- Experience in research, including previous publications, reviewing scholarly articles, etc.
- Experience in social media mining, computational modeling of social science theories, working with social network analysis tools, and examining cyber campaigns conducted on social media
- Intermediate knowledge of Python
- 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 experience in computer programming and data management will be given preference.
Responsibilities
- Assist with literature survey
- Assist with hypothesis generation, theoretical evaluation, model development, operationalization, and evaluation
- Assist with data collection, cleaning, preprocessing, and analyzing findings from the data
- Assist in preparing reports and publications
- Coordinate meetings and lead discussions
- Other tasks as needed
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
