3:40 p.m.
FYI
De : International Association of Landscape Ecology List
[mailto:USIALE-L@LISTSERV.URI.EDU] De la part de Byrd, Kristin
Envoyé : mercredi 5 juin 2019 19:39
À : USIALE-L(a)LISTSERV.URI.EDU
Objet : open position for spatial data scientist/landscape ecologist
Dear colleagues -
I am hiring a spatial data scientist/landscape ecologist to work at USGS, at our new
location at Moffett Field, co-located with NASA Ames Research Center. Announcement is
copied below. Please forward to anyone who may be interested! Deadline to apply is June
24.
Kristin Byrd
*****************************************************************************************
Spatial Data Scientist/Landscape Ecologist
U.S. Geological Survey
Western Geographic Science Center
Moffett Field, Mountain View, CA
The U.S. Geological Survey, Western Geographic Science Center has an opening for a Spatial
Data Scientist/Landscape Ecologist position for one year with possibility of extension.
The position is in the Applied Landscape Ecology and Remote Sensing group (
<http://www.usgs.gov/WGSC/ALCERES> www.usgs.gov/WGSC/ALCERES) led by Dr. Kristin
Byrd and will be based in our new location at Moffett Field in Mountain View, CA,
co-located with NASA’s Ames Research Center. Our group conducts landscape studies of
natural and working lands, in particular coastal and inland wetlands and rangelands. We
quantify ecosystem benefits, find areas vulnerable to future change, and identify
potential for climate mitigation and resilience. We emphasize the use of open data and
open source software to aid tool development for decision makers. Currently we have
multiple projects on wetland sustainability and ecosystem services, habitat modeling, land
use change and water supply, and large-scale riparian vegetation mapping.
We are seeking a talented and motivated spatial data scientist with experience in spatial
data analysis and spatial statistics, programming, and management of large datasets. The
scientist should also have a background in ecology or natural resources, with a preference
for experience in wetland, estuarine, or watershed science. Programming skills (python, R,
and database management) are necessary. Ability to optimize processing of large datasets
such as lidar and raster-based model outputs with cloud computing is highly desirable.
Experience with remote sensing methods such as image classification is also beneficial.
Primary tasks will include 1) analysis and visualization of model outputs from integrated
land use and hydrological models for the Central Valley of California, 2) writing code to
automate and optimize processing of satellite images and lidar datasets, 3) error analysis
for remote sensing products, 4) coastal ecosystem habitat modeling. There will be
opportunity to seek grant funding to develop related, independent research.
Education/work experience: Ph.D. or M.S. with 3+ years post-graduate professional
experience.
Salary is based on education and work experience. This position with be either a contract
hire or postdoctoral researcher hire, dependent upon educational level attained. Pay range
will be based on the Federal GS11/12 payscale, and includes the option for full benefits.
Approximate start date is late August 2019.
To apply please send cover letter, CV, and three references to kbyrd(a)usgs.gov
<mailto:kbyrd@usgs.gov> by Monday, June 24, 2019.
Kristin Byrd, Ph.D.
Research Physical Scientist
U.S. Geological Survey
345 Middlefield Road, MS-531
Menlo Park, CA 94025
work: 650-329-4279
cell: 415-290-3083
www.usgs.gov/staff-profiles/kristin-byrd
<https://www.usgs.gov/staff-profiles/kristin-byrd>
www.usgs.gov/WGSC/ALCERES <http://www.usgs.gov/WGSC/ALCERES>