美国布朗大学博士后职位招聘–应用数学、生物学、计算机科学、数据科学、地理、大地测量学、地球物理学、工程、机器学习、遥感、统计学或密切相关领域

The Institute at Brown for Environment and Society (IBES) at Brown University is accepting applications for a postdoctoral research scientist in global land surface remote sensing. The successful applicant will join a NASA-funded effort to generate new quality-filtering criteria and stratifications for the Global Ecosystem Dynamics Investigation, a multibeam waveform lidar sensor currently in orbit on the International Space Station.

The successful applicant will advance NASA capabilities with respect to four issues:

(1) adapt a new 30 m resolution vegetation type data product derived from the Landsat data record to support GEDI aboveground biomass density models, and evaluate the potential of this 30 m data product to replace the current 1 km version derived from MODIS MCD12Q1;

(2) replace the 500 m resolution land-surface phenology data product currently used for GEDI quality filtering with a 30 m resolution version from Landsat;

(3) develop new models to predict aboveground biomass density using GEDI data that consider alternative forms of stratification;

(4) apply these new models to on-orbit GEDI data in combination with high-resolution vegetation type and land-surface phenology maps.

Together these changes will decrease uncertainty in GEDI estimates of aboveground carbon, increase the amount of publicly available high-quality GEDI data through improved quality filtering, and improve the ability of GEDI to meet mission operation requirements.

The successful applicant will work directly under the supervision of Dr. James Kellner (Institute at Brown for Environment and Society and GEDI co-Investigator), Dr. Mark Friedl (Boston University Center for Remote Sensing and Department of Earth and Environment), and Dr. Paulo Arévalo (Boston University Center for Remote Sensing and Department of Earth and Environment).

To apply, applicants should have a PhD in applied mathematics, biology, computer science, data science, geography, geodesy, geophysics, engineering, machine learning, remote sensing, statistics, or a closely related field. Applicants with experience using remote sensing, geographic information systems, or other spatial data are desirable.

The successful applicant will be a member of the Institute at Brown for Environment and Society, and the NASA GEDI Science Team. Brown University maintains world-class resources that will be available to the successful candidate, including the OSCAR supercomputing cluster and university libraries. Boston is one hour away by train, and the successful candidate will have the ability to interact with co-I Friedl and co-I Arévalo at Boston University. The initial appointment will be for one year, subject to renewal upon satisfactory performance.

How to apply: Please submit a CV and cover letter, and names and contact information for three references to james_r_kellner@brown.edu, friedl@bu.edu, and parevalo@bu.edu. Applications will be reviewed immediately and the position will remain open until filled.