Key Responsibilities

• Develop and evaluate machine learning and computational modeling approaches for studying communities, social behavior, and mobility patterns.
• Analyze multimodal behavioral data and community mobility data using statistical and causal inference methods.
• Apply counterfactual explanation methods to support interpretation of model outputs and research findings.
• Contribute to research on the societal impacts of generative AI.
• Assist with brainstorming and refining research ideas related to ongoing project goals.
• Lead the preparation of manuscripts, figures, analyses, and other research outputs for publication.

Minimum Qualifications

• Currently enrolled as a Ph.D. candidate in Computer Science or a related field.
• Strong background in machine learning, computational modeling, and data-driven research methods.
• Experience applying statistical methods, causal inference, and counterfactual explanation approaches.
• Experience working with complex datasets relevant to human behavior, communities, or mobility patterns.
• Demonstrated ability to conduct independent research and contribute to collaborative research projects.

Bonus Qualifications