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ORAU · 2 weeks ago

Forested Aboveground Biomass from Mechanistic and Statistical Analyses of Structural Remote-Sensing Data

United States

Full-time

Remote

Senior Level

ORAU is involved in the NASA Postdoctoral Program, offering unique research opportunities to talented scientists. The role focuses on estimating aboveground biomass using remote sensing data, specifically through mechanistic and statistical analyses of InSAR and lidar data.

Universities

Culture & Values

No H1B

U.S. Citizen Only

Responsibilities

Learn or review characteristics of measurements with InSAR and tomoSAR, as well as lidar waveforms

Use data from airborne-UAVSAR tomoSAR and airborne lidar to develop algorithms for estimating AGB from their profiles

Study diverse approaches to analysis and combining of data types to arrive at AGB

Investigate mechanistic analyses and statistical analyses for AGB estimation

Focus on one or two approaches for a publication concerning the technology and/or the science of the remotely-sensed region(s)

Qualification

PhD in relevant fieldData acquisitionAnalysisMechanistic modelingStatistical modelingMachine learningCoding in PythonCommunication skillsWork independently

Required

PhD in applied math, physics, electrical engineering or computer science

Experimental experience preferred, with hands-on data acquisition and analysis

Applicant must be interested in a hybrid of mechanistic, science based models and statistical approaches to model forest structure and its relationship to biomass estimation

Good communication skills are of paramount importance so that colleagues and mentors of the Postdoc can learn from her/his ongoing discoveries

The ability to work independently, as most PhD's do, would be appreciated

Experience in coding physical, and statistical models in Python or other computer language

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