A research organization seeks a scientist to innovate data accuracy and develop datasets for renewable energy applications. The role requires a Ph.D. in a related field and expertise in statistical analysis and machine learning. Responsibilities include applying advanced methods to satellite data and collaborating with end users to meet their needs. Ideal candidates will have strong programming skills and experience with NASA data products. This is an opportunity to work on impactful projects in Earth science.
Qualifications
Ph.D. required by appointment date.
Experience with NASA data products.
Advanced programming skills essential.
Responsibilities
Apply innovative methods to satellite and model datasets.
Assess spatial and temporal variability of data products.
Collaborate with end users for data products.
Skills
Statistical analysis expertise
Machine & deep learning method experience
Experience with time-series data
Advanced programming skills (e.g., Python, C)
Education
Ph.D. in Atmospheric Science, Earth Science, Physics, Data Science or related field
Tools
Cloud computing
Job description
A research organization seeks a scientist to innovate data accuracy and develop datasets for renewable energy applications. The role requires a Ph.D. in a related field and expertise in statistical analysis and machine learning. Responsibilities include applying advanced methods to satellite data and collaborating with end users to meet their needs. Ideal candidates will have strong programming skills and experience with NASA data products. This is an opportunity to work on impactful projects in Earth science.