The Smarter Energy and Environmental Sciences Department of the IBM Thomas
J. Watson Research Center in Yorktown Heights, NY is seeking a post-doctoral
scientist to join a multi-disciplinary team focused on limnology. The
candidate will be part of the team for the Jefferson Project (see
http://ibmresearchnews.blogspot.com/2013/06/the-jefferson-project.html),
which is addressing a physical, biological and chemical understanding of the
Lake George, NY watershed. The project is developing comprehensive observing
and coupled modeling systems and associated cyber-physical infrastructure to
address fundamental scientific questions and to help inform policy makers to
understand how Lake George is evolving. The team has an atmosphere in which
basic research is combined with experience on technical problems arising in
industry.

The candidate must have experience in aquatic ecology, as demonstrated by a
publication record in international journals. The candidate will work with
the current unique biological and chemical data from Lake George and be
responsible for the effort to identify predictors of algal bloom and risk,
periods of high algal productivity, etc. and work with the team to develop a
physical and biological understanding of Lake George and the surrounding
watershed, both historical and predictive. In that context, the candidate
would include contributions to and leverage the aforementioned observing and
modeling systems. There will also be opportunities for field work at Lake
George.

The successful candidate will work with the extant team to improve and
maintain current capabilities, and develop and incorporate new techniques.
In addition, the candidate will work with the team to define and execute a
research and development agenda. This can including compiling all of the
prior scientific literature relevant to Lake George, summarizing it in a
scientific synthesis document, and then proposing a research agenda based on
that synthesis that will integrate the physical and biological research into
an overall plan. The plan should recognize and prioritize the most pressing
issues confronting efforts to rehabilitate the lake, identify the major
uncertainties, and provide justifications for the research agenda proposed
to address those uncertainties. In addition, the candidate will have proven
communication skills and a desire to see new technology applied in
real-world situations. A successful candidate will interact with the
scientific and business personnel at IBM as well as collaborators outside of
IBM, participate and make presentations on their work and publish results.
While it is expected that the candidate will have skills in working with a
team, the ability to work independently is also needed.

Skills Needed:
-Proven environmental computing skills in a Linux environment
-Scripting experience (e.g., shell, perl, python)
C/C++ or FORTRAN programming
-Ability to appropriately use development environments and data
formats/structures
-The candidate must have experience in aquatic ecology as demonstrated by a
proven publication record in international journals
-Ability to work both independently and in a team setting

Preferred Skills:
-Visualization, graphics and image processing
-Experience with statistical analysis tools
-Version control system for software development and high-performance
parallel (cluster) computing environment

Required
-Doctorate Degree
-At least 2 years experience in Environmental computing skills in a Linux
environment,
-At least 2 years experience in Aquatic ecology publication in international
journals
English: Fluent

Preferred
Other Sciences
At least 2 years experience in Visualization, graphics and image processing
(e.g., OpenDX, GEMPAK, GrADS, ImageMagick, R, NCL, Matlab, RIP)

Additional information
The IBM Research Division is the largest industrial research organization in
the world with 12 labs worldwide, doing work in a broad range of disciplines
in the physical, mathematical, computer and life sciences and related
engineering fields. Its headquarters is at the IBM Thomas J. Watson Research
Center in Yorktown Heights, NY. For more information about IBM Research,
please visit http://www.research.ibm.com.
 
IBM is committed to creating a diverse environment and is proud to be an
equal opportunity employer. All qualified applicants will receive
consideration for employment without regard to race, color, religion,
gender, gender identity or expression, sexual orientation, national origin,
genetics, disability, age, or veteran status. IBM is also committed to
compliance with all fair employment practices regarding citizenship and
immigration status.

To view the position/job description and application link, visit:

https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0647812

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