Base: $11,250-$13,500; bonus/equity: not specified...
Bachelor's degree from accredited institution
Regular admission to graduate degree program
Ability to work 10-20 hours per week
The Graduate Research Assistant will develop machine learning and artificial intelligence (ML/AI)-driven socio-computational models to analyze social media data
Job Summary
The Graduate Research Assistant will develop machine learning and artificial intelligence (ML/AI)-driven socio-computational models to analyze social media data.
This on-campus position reports to Dr. Nitin Agarwal, the Maulden-Entergy Endowed Chair and Director of the COSMOS Research Center at UA-Little Rock.
Candidates must have extensive knowledge of R or Python, including data analysis libraries and machine learning techniques such as classifiers and transformers.
Matching Summary
The Graduate Research Assistant will develop machine learning and artificial intelligence (ML/AI)-driven socio-computational models to analyze social media data.
Salary
Base: $11,250-$13,500; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Bachelor's degree from accredited institution
Regular admission to graduate degree program
Ability to work 10-20 hours per week
Extensive knowledge of R or Python
Experience with ML libraries like SK-Learn TensorFlow
Nice-to-have
Experience in computer programming and data management
Familiarity with UNIX-based systems such as Linux
Experience with graph theory and graphic libraries
Experience crawling web data
Knowledge of DB systems and SQL language
Key Requirements
Bachelor's Degree required
Graduate student status required
Proof of legal authority to work in US
Work Rights
Must have proof of legal authority to work in the United States