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ORAU · 1 week ago

Machine Learning Assisted Aerosol Retrieval from Space Lidar Measurements in Planetary Boundary Layer

Santa Clara County, CA

Full-time

Onsite

Senior Level

ORAU is involved in the NASA Postdoctoral Program, offering unique research opportunities for highly-talented scientists. The role focuses on developing machine learning-assisted retrievals of aerosols in the planetary boundary layer, utilizing extensive datasets to enhance understanding of aerosol-cloud interactions.

Universities

Culture & Values

No H1B

U.S. Citizen Only

Responsibilities

Develop ML-assisted retrievals of aerosols in the planetary boundary layer, emphasizing aerosol and cloud detection and classification using multichannel measurements at the highest spatial resolution

Utilize the extensive 17-year CALIOP archive as a training dataset for ML algorithms

Adapt ML algorithms to EarthCARE’s ATLID and the future CALIGOLA mission

Generate a multi-year dataset of boundary layer aerosol properties, enhancing understanding of aerosol-cloud interactions and their impact on climate processes

Qualification

Machine LearningComputational MethodsMathematicsEarth ScienceProblem Solving

Required

Strong background in mathematics

Strong background in computational methods

Strong background in machine learning

Eager to apply expertise to real-world challenges in Earth and atmospheric sciences

Citizenship: LPR or U.S. Citizen

Degree: Doctoral Degree

Company

ORAU

Glassdoor4.4

ORAU provides innovative scientific and technical solutions to advance research and education, protect public health and the environment and strengthen national security.

Founded in 1946