[Wrf-users] Atmospheric Modeling Post Doctoral Position at IBM Research

[Anthony P Praino]

Updated Information




Postdoctoral Position in Atmospheric Modeling at IBM Thomas J. Watson 
Research Center

The IBM Research Division is the largest industrial research organization 
in the world with eight 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. 

The Mathematical Sciences Department of the IBM Thomas J. Watson Research 
Center is seeking a post-masters or post-doctoral scientist to join a 
multi-disciplinary team focused on applications of environmental modeling 
and data analysis.  The department has an atmosphere in which basic 
research is combined with experience on technical problems arising in 
industry.  On-going research includes high-performance computing and 
visualization in atmospheric and earth sciences as well as differential 
equations, dynamical systems, machine learning, mathematical optimization, 
numerical analysis, statistics and other disciplines.  In addition to 
being located at a world-class research institution, the candidate will be 
part of a team that operates an in-house multi-channel NOAAport system for 
real-time access to both computed and observed weather data, a dedicated 
high-performance computing cluster, and 3d graphics workstations.  

The candidate would be responsible for the enhancement and operation of a 
meso-gamma-scale model-based weather forecasting system used in 
weather-sensitive decision support applications.  The successful candidate 
will work with the extant team to improve and maintain operational 
capabilities, and develop and incorporate new modeling, analysis and 
visualization techniques that are part of an end-to-end solution with 
applications ranging from water and energy management to emergency 
planning for and response to severe weather and flooding events.  In 
addition, the candidate will work with the team to define and execute a 
research and development agenda, be able to invent and implement new 
techniques, have strong communication skills and a desire to see new 
technology applied in real-world situations.  For further information 
about the current activities, see 
http://www.research.ibm.com/weather/DT.html. 

The candidate should possess experience with both the operations and 
scientific use of non-hydrostatic numerical weather prediction codes such 
as WRF-ARW, RAMS or MM5.  Knowledge of surface and upper-air measurements 
as well as satellite and radar observations and utilization of NOAA/NWS 
data streams is desirable.  Experience with a high-performance parallel 
(cluster) computing environment (e.g., IBM Cluster 1600, Linux clusters) 
is desirable but not required.  Each candidate must have a doctoral degree 
or a masters with extensive operational and/or programming experience.  

Major Field of Study:  Atmospheric or related sciences 

Required Computing Skills:  Strong meteorological computing skills in a 
Unix environment  (AIX, Linux), scripting, FORTRAN programming 

Desirable Computing Skills:  Data formats/structures (e.g., netCDF, GriB), 
visualization, graphics and image processing (e.g., OpenDX, GEMPAK, GrADS, 
ImageMagick), C/C++, Java and Web programming/deployment, user interface 
programming (tcl/tk, Qt), parallel computing (MPI, OpenMP) 

All qualified applicants will receive consideration for employment without 
regard to race, color, religion, gender identity or expression, sexual 
orientation, national origin, genetics, disability age, or veteran status. 


To apply please follow this URL, 
http://careers.peopleclick.com/jobposts/Client40_GLDTR/BU1/External/139-24902.htm?ShowReturn=Yes



Anthony P. Praino
ACTC/Deep Computing Systems
IBM T.J. Watson Research Center
914-945-1953 (office) 
apraino at us.ibm.com
http://www.research.ibm.com/weather
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