Postdoc: Coastal Image Analytics & Modeling

Greater Farallones Association; San Francisco (CA); On-site; USD 55,000 - 72,000; Full time

Job summary

The Greater Farallones Association, in collaboration with USGS, is seeking a Postdoctoral Scholar to analyze a 30-year archive of shoreline photos from 60+ beaches along the north-central California coast and to run process-based coastal model projections under sea-level rise scenarios. The role is Python and machine learning–heavy, involving real-world historical imagery and multiple integrated data sources.

Co-advised by Dr. Wendy Kordesch (GFA/NOAA) and Dr.

Qualifications

• This is a Python and machine learning-heavy role working with real-world historical imagery and multiple integrated data sources.
• Strong quantitative and computational skills and experience with environmental modeling.

Responsibilities

• Analyze a 30-year archive of shoreline photos from 60+ beaches along the north-central California coast.
• Run process-based coastal model projections under sea-level rise scenarios.

Job description

The Greater Farallones Association, in collaboration with USGS, is seeking a Postdoctoral Scholar to analyze a 30-year archive of shoreline photos from 60+ beaches along the north-central California coast and to run process-based coastal model projections under sea-level rise scenarios. The role is Python and machine learning–heavy, involving real-world historical imagery and multiple integrated data sources.

Co-advised by Dr. Wendy Kordesch (GFA/NOAA) and Dr.