Employer Industry: Higher Education and Research

Why consider this job opportunity:
- Competitive salary commensurate with qualifications and experience
- Full benefits package included
- Opportunity to work on an innovative, NASA-funded research project
- Potential for position renewal up to two years based on performance and funding availability
- Access to a vibrant community with diverse cultural events and recreational activities
- Chance to contribute to critical questions in land change science and fire ecology

What to Expect (Job Responsibilities):
- Develop advanced deep learning algorithms for classifying historical satellite imagery
- Integrate multi-source datasets, including LiDAR and citizen science observations
- Apply geospatial and statistical modeling techniques to quantify land use-fire regime relationships
- Contribute to the development of predictive models for future fire risk under various scenarios
- Lead efforts in processing and analyzing large remote sensing datasets

What is Required (Qualifications):
- Ph.D. in Remote Sensing, Geography, Environmental Science, Computer Science, or a closely related field
- Strong programming skills in Python or R
- Experience with machine learning and deep learning applied to geospatial data
- Demonstrated ability to process and analyze large remote sensing datasets
- Excellent written and verbal communication skills

How to Stand Out (Preferred Qualifications):
- Experience with historical satellite imagery, particularly declassified data
- Familiarity with LiDAR data processing, especially GEDI
- Knowledge of fire ecology and land use change processes
- Experience with Google Earth Engine or other cloud-based geospatial platforms
- Proficiency in statistical modeling and time series analysis

#HigherEducation #ResearchOpportunity #NASA #RemoteSensing #FireEcology

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