Assist with extending an existing spatial model of text-based ideology derived from congressional floor speeches (Congress.gov) and social media posts. Research assistant should have experience with Python, using bespoke APIs for scraping material, natural language processing, machine learning, and handling big data (especially large collections of textual documents). PyTorch experience is a plus. Research assistant will need access to at least one high-memory GPU, via either their own machine or UVA’s Data Analytics Center. Knowledge or interest in the U.S. Congress a plus. Willing to collaborate on a small team. Undergrad student wage position for less than 20 hours per week.
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Job Type
Part-time
Career Level
Entry Level
Education Level
High school or GED
Number of Employees
5,001-10,000 employees