Yale Center for Geospatial Solutions Post-Fire Geospatial Analyst

Job Title: Post-Fire Geospatial Analyst Term: Part-time, 5 to 20 hours/week, Immediately - May 18, 2026 Supervisor: Austin Madson, YCGS Senior Remote Sensing Scientist 

Wage: $22.00 per hour 

Posting time: Immediately to November 1 

Number of Positions Hiring: 1 

Job Description 

The Post-Fire Geospatial Analyst at the Yale Center for Geospatial Solutions will help to analyze and reprocess remotely sensed water quality metrics for lakes and reservoirs in the American West. In particular, this person will work directly with their supervisor to process geospatial data related to remotely sensed water quality metrics along with ancillary data on burn extents/severity, precipitation, land cover, etc. They will also help to derive meaningful figures for publication. An understanding of basic hydrologic/geomorphic processes and concepts (e.g., watersheds, runoff, erosion) is required. Experience with geospatial data processing in python and figure creation in python/arcgis/qgis is mandatory. The Analyst will be listed as a coauthor on a peer-reviewed publication stemming from this work. 

Job Requirements 

• Basic hydrologic/geomorphic understanding of watershed-scale processes 
• General understanding of post-fire effects on different ecosystems 
• Proficient in python + GUI-based GIS software (e.g., arcgis/qgis) 
• Ability to think critically about extracting novel information from data 
• Excellent interpersonal and written communication 
• Ability to work independently after given a task/s 
• Ability to read and expand on previous research 

Key Responsibilities 

• Derive statistics from gridded climate and landcover data at the watershed scale 
• Python data analysis as needed 
• Generate charts/plots to better understand data 
• Create publish-ready figures for a manuscript 
• Update supervisor on progress and outputs 

Personal attributes 

• Curious and willing to learn new tools or processes as needed 
• Reliable and proactive, with a strong sense of ownership 
• Organized and detail-oriented 
• Confident making decisions independently 
• Collaborative and responsive when working with a team 

Work Environment: In person / Hybrid 

When meeting with the supervisor in person, the candidate may be asked to come to either The Earth Observation Lab at 21 Sachem Street (Room 119) or to 37 Hillhouse Avenue (Room 112), depending on the meeting location scheduled. There are no specific days in person or remote, as these may change depending on the student’s schedule and availability