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R Shiny Developer - Wildfire Smoke Source Apportionment Tool Make an Impact on Global Air Quality Research Join a cutting-edge research initiative working alongside world-renowned atmospheric chemistry scientists on a high-profile scientific publication that will shape how we understand and respond to wildfire smoke impacts worldwide. We're seeking a talented student developer to create an innovative interactive tool that will revolutionize wildfire smoke source identification and analysis. This isn't just another coding project—you'll be building technology that directly supports critical air quality management decisions across multiple continents. You will help build an interactive R Shiny application featuring - Intelligent Data Processing: Seamlessly integrate air pollution, dust, and atmospheric datasets
- Advanced Analytics: Implement sophisticated algorithms that distinguish between local vs. regional wildfire contributions and separate natural from human-caused sources
- Dynamic Visualizations: Create compelling interactive charts, time series plots, and data visualizations that make complex atmospheric data accessible
- User-Centric Design: Build flexible toggle options and CSV upload functionality for researchers worldwide
- Global Impact: Tool designed for the northeastern United States with expansion planned for Europe and Asia
Position Details - Commitment: 5-10 hours per week
- Rate: $17/hour
- Duration: Project-based with potential for extension
- Work Style: Flexible schedule, remote-friendly
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