Two postdoctoral positions, Stanford University:
Remote sensing and georeferencing of global methane-source infrastructure
1. AI/Computer vision + remote sensing
2. Geospatial data integration
Stanford University’s Earth System Science and Computer Science Departments are hiring two full-time postdoctoral scientists with expertise in remote sensing, geospatial analyses, computer sciences, the oil and gas sector, and/or biogeosciences to (a) Lead the construction of a public database of global methane source infrastructure (including oil and gas wells and related facilities, landfills, and other infrastructure) by aggregating and integrating multiple disparate datasets; (b) Work closely with computer vision researchers to develop and validate AI-based satellite image-derived methane source databases, and integrate them into the aggregated database; (c) Conduct geospatial data analyses and visualizations of the database. Social computing, crowdsourcing, and uncertainty estimation will be used as part of a human-in-the-loop design for ensuring high-quality data records. Successful candidates will contribute to Stanford’s multi-year AI for Climate Initiative (https://stanfordmlgroup.github.io/programs/aicc-bootcamp/) and the Global Carbon Project (globalcarbonproject.org). Project investigators include Rob Jackson (jacksonlab.stanford.edu), Andrew Ng (https://www.andrewng.org), Michael Bernstein (https://hci.stanford.edu/msb/) and others to provide a reference database for source attribution of methane plumes identified from satellites and aircraft.
Stanford welcomes applications from all who would bring additional dimensions to the University's research, teaching and clinical missions. Apply by December 15, 2021, for full consideration. Applications will be reviewed as they are received.
- Statement of research
- Diversity statement
- Names and contact information for three references