Data Science for Satellite Remote Sensing and Earth Science Research

About the role

The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine learning with physics-based models, and/or improve processing of remotely-sensed Earth Science data. The fellow will be a part of the NASA Earth eXchange (NEX).

Responsibilities

• Apply machine learning and/or other data science techniques to conduct scientific research
• Improve remote sensing data products and analysis
• Integrate machine learning with physics-based models
• Improve processing of remotely-sensed Earth Science data

Requirements

• Doctoral Degree
• Citizenship: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor J-1 visa status; Applicants for LPR, asylees, or refugees in the U.S. at the time of application with 1) a valid EAD card and 2) I-485 or I-589 forms in pending status

Qualifications

• Experience with machine learning and/or other data science techniques
• Knowledge of remote sensing data products and analysis
• Experience integrating machine learning with physics-based models
• Experience improving processing of remotely-sensed Earth Science data

Skills

• Data science
• Machine learning
• Remote sensing
• Physics-based modeling
• Software development

Benefits

• Unique research opportunities at NASA Centers, Headquarters, or affiliated research institutes
• Competitive one- to three-year fellowships
• Advancement of NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology

Pay

• Salary range: Not specified

Schedule

• Not specified

Contact

Email: npp@orau.org