Opportunities in Remote Sensing, Modeling, and AI/ML with NASA SPoRT
About the role
The NASA Short-term Prediction Research and Transition (SPoRT) Center at Marshall Space Flight Center seeks to advance Earth Science research and applications through innovative use of remote sensing, models, and machine learning. This role involves exploring foundational models, enhancing understanding of air quality and human health, and linking Earth System processes.
Responsibilities
- Develop and refine foundational models for Earth Science research and applications
- Utilize remote sensing, models, and machine learning to deepen understanding of air quality and human health
- Investigate extreme events such as precipitation, hurricanes, atmospheric rivers, and their impacts using remote sensing, models, and machine learning
- Explore and link Earth System processes, particularly focusing on planetary boundary layer processes, aerosols, lightning, and land/sea surface interactions
Requirements
- Citizenship: LPR or U.S. Citizen
- Degree: Doctoral Degree
Qualifications
The ideal candidate should have a strong background in Earth Science, with expertise in remote sensing, modeling, and machine learning. Experience with foundational models and a track record of successful research proposals are preferred.
Skills
- Strong research proposal writing skills
- Experience with remote sensing data analysis
- Proficiency in programming languages such as Python or R
- Knowledge of Earth System models and machine learning techniques
Benefits
The NASA Postdoctoral Program offers a unique opportunity to work on cutting-edge research projects, collaborate with leading scientists, and contribute to NASA's mission. Fellows receive a stipend, benefits package, and travel support.
Pay
The stipend for the NASA Postdoctoral Program ranges from $65,000 to $75,000 per year, depending on qualifications and experience.
Schedule
The program is typically one to three years in duration, with flexible start dates.