Green Sturgeon Population and Habitat Researcher

Apply here: https://recruit.ucsc.edu/JPF01837


Institute of Marine Sciences <https://ims.ucsc.edu/> at the University of
California, Santa Cruz (UCSC), working in conjunction with the NOAA
National Marine Fisheries Service Southwest Fisheries Science Center (NOAA
Fisheries), invites applications for the position of *Green Sturgeon Census
Specialist*. Under the direction of Dr. Peter Dudley, the specialist will
develop a habitat selection model for spawning green sturgeon and will
organize the green sturgeon spawning population annual census. The
specialist will be encouraged to use established or novel techniques with
large data sets of sturgeon presence data and physical habitat modeling
data to model spawning habitat use. This is an exciting opportunity to work
on a threatened species in a system of national importance. The work is
both fundamental and applied and the applications of this work will inform
official NOAA policy and will have a direct effect on management issues on
the system. Historically, the Southwest Fisheries Science Center has
conducted a multiyear survey of spawning green sturgeon in the Sacramento
River using DIDSON and Side-Scan Sonar to estimate local abundances using
statistical tools. This work is to continue that effort and investigate
green sturgeon habitat use and response to environmental drivers.

The specialist will work under the supervision and direction of Dr. Peter
Dudley (UCSC) and will collaborate with other NOAA Fisheries Scientists and
UCSC researchers. The position will be based at the Southwest Fisheries
Science Center <https://swfsc.noaa.gov/> in Santa Cruz, CA, and will be
part of the Fisheries Collaborative Program <https://fisheries.ucsc.edu/>.

Applicants with expertise in any of the following areas are strongly
encouraged to apply:

   - Overseeing the logistics of ecological fieldwork.
   - Conducting animal censuses.
   - Habitat selection modeling.
   - Programming languages commonly used for statistical modeling (R, or
   others).
   - Demonstrated record of scientific publishing and oral presentation.

Applicants with one year of research experience in relevant fields are
encouraged to apply. A preference is given to those with 3 or more years of
research experience in relevant fields.

A strong preference will be given to candidates who have overseen or
actively participated in field work logistics such as organizing multi-day
field campaigns involving the deployment and use of scientific instruments,
following field safety protocols, and executing field campaigns.
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