[Coral-List] Position Opening with NOAA's Coral Health and Monitoring Program
Jim.Hendee at noaa.gov
Tue Jan 31 12:03:36 EST 2006
Please note that the position below must be applied for through the
following link, at the University of Miami's Rosenstiel School for
Marine and Atmospheric Sciences:
RESEARCH ASSOCIATE II
The Cooperative Institute for Marine and Atmospheric Studies (CIMAS) of
the University of Miami invites applications for a Research Associate II
position in Biological Oceanography.
Applicants must have a BS degree in Biological Oceanography,
Mathematics, Physics, Computer Programming, Environmental Science or a
related field, plus two to five years of relevant work experience.
Necessary skills include use of oceanographic modeling tools (especially
expert systems, neural networks, Bayesian Belief Networks), computer
programming to support these and other marine environmental modeling and
analysis tools, and experience at working in a variety of operating
systems. The incumbent will be responsible for modeling the coral reef
ecosystem utilizing artificial intelligence tools, supporting computer
architecture and programming to support marine research scientists
engaged in a variety of disciplines (ocean chemistry, biology,
oceanography), as well as direct support for marine environmental
research data for the Coral Health and Monitoring Program at the
Atlantic Oceanographic and Meteorological Laboratory.
A statement of interest, curriculum vitae and three letters of
recommendation are to be sent to:
Dr. Joseph M. Prospero, Director
Cooperative Institute for Marine and Atmospheric Studies
4600 Rickenbacker Causeway
Miami, Fl 33149
Applications will be accepted until the position is filled.
The University of Miami is an equal opportunity workplace.
RESEARCH ASSOCIATE II
This position is situated in the Cooperative Institute for Marine and
Atmospheric Studies (CIMAS) at the University of Miami Rosenstiel School
of Marine and Atmospheric Sciences (RSMAS). The research is concerned
with developing a marine environmental modeling research program
utilizing a variety of computer-related tools, as well as collection,
synthesis and analysis of marine environmental data derived from a
variety of instruments in the field and laboratory, including possibly
at meteorological and oceanographic monitoring stations in the Florida
Keys and US coral reef areas in the Atlantic and Pacific. The research
will involve close collaboration with scientists at RSMAS and the NOAA
Atlantic Oceanographic and Meteorological Laboratory (AOML).
The incumbent will assist artificial intelligence experts at AOML in
developing ecosystem stimulus-response models, and will also
occasionally assist principal investigators in trouble-shooting systems
designed for the acquisition, storage and retrieval of marine
environmental data, developing and interpreting data analysis and
visualization products. The incumbent will also participate in the
development of near real-time modeling and operations software
components for a variety of research programs, including especially the
Integrated Coral Observing Network (ICON) and SEAKEYS projects. The
applicant must assist in the procurement of the software and hardware
which provide the computing research infrastructure necessary for the
tasks to be performed.
The incumbent will be expected to function with supervision. General
instructions regarding scope and objectives will be given. The incumbent
must be able to work independently, but will be under the supervision of
the Director of CIMAS and will be expected to work with the technical
guidance of senior scientists at AOML. The incumbent is expected to
report periodically to the Director of CIMAS on the progress of work.
GUIDELINES AND ORIGINALITY
The incumbent is expected to demonstrate ingenuity, originality and some
autonomy in employing effective artificial intelligence tools in the
characterizing of marine ecosystem response under a variety of stress
matrices, as measured by near real-time instrumented and static arrays
at coral reef and other ocean areas. Guidance will be obtained from
interactions with scientists at AOML and RSMAS.
Required education is a BS degree plus two to five year of work-related
experience in artificial intelligence, physical oceanography,
mathematics, physics, computer programming, environmental science or
other related fields. Necessary skills include utilization of use of
oceanographic modeling tools (especially expert systems, neural
networks, Bayesian Belief Networks), computer programming to support
these and other marine environmental modeling and analysis tools, and
experience at working in a variety of operating systems.
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