Rutgers University School of Social Work is seeking a Lab Assistant with expertise in AI, machine learning, and spatial data science for global development projects. The position is part-time (approx. 5 hours/week) and offers a stipend of $3,250 or higher. Candidates should have a Master's or Ph.D. degree, strong Python programming skills, and experience working with unstructured data and applying machine learning. Experience with ArcGIS or QGIS is a plus, and strong communication skills are valued. The role may also involve curriculum planning and supporting a graduate-level course on AI/ML/Spatial Data Science for Global Development, which covers topics such as satellite imagery, crowd-sourced maps, and social media data for social welfare and policy applications. The interdisciplinary environment welcomes candidates from computer science, geography, statistics, information technology, and related fields. Prior coursework in statistics and experience with statistical software or programming languages (Stata, R, Python, MATLAB, ArcGIS) is required. Interested applicants should send their CV to Dr. Woojin Jung at [email protected]. For more details, see the LinkedIn post or contact the supervisor directly.