[ES_JOBS_NET] Research Staff Member Position in Meteorological Modeling at the IBM T. J. Watson Research Center

Christine Wiedinmyer christin at ucar.edu
Wed Jun 11 08:53:52 MDT 2014

FORWARDED from WRF Mailing List:

The Smarter Energy and Environmental Sciences Department of the IBM 
Thomas J. Watson Research Center in Yorktown Heights, NY is seeking a 
world-class atmospheric scientist to join a multi-disciplinary, 
international team focused on meteorology and business applications of 
meteorology.  The team has an atmosphere in which basic research is 
combined with experience on technical problems arising in industry.

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 

The candidate must have experience in and an excellent understanding of 
numerical weather prediction, including underlying physical and 
mathematical methods as demonstrated by a good publication record in 
international journals.  The candidate must possess expertise with the 
scientific use of modern, non-hydrostatic numerical weather prediction 
codes such as WRF-ARW and the utilization of surface and upper-air 
measurements as well as satellite and radar observations.  This should 
include land surface modeling considering issues associated with the 
surface state that impact soil moisture and temperature as well as 
snowpack evolution.  In addition to experience with data assimilation 
for both NWP and land surface models, an understanding of their coupling 
to and applications with urban canopy models and schemes for planetary 
boundary layers models is required.  Experience with applications 
including runoff and flooding, renewable energy, etc. is desirable. 
  Experience with operational forecasting using numerical weather 
prediction is also desirable.

The applicant would be responsible for enhancement of current 
capabilities at IBM Research in mesoscale weather modeling, including 
data assimilation and analysis.  The successful candidate will define 
and execute a research and development agenda to support these efforts 
that are part of end-to-end weather forecasting solutions with a focus 
on decision support in energy, emergency management, agriculture, 
transportation and other industries.

This person will be a team player with strong writing and presentation 
skills, able to create and communicate a vision, and collaborate with a 
multi-national, interdisciplinary team.  The candidate should be willing 
to drive development of new intellectual property as well as community, 
academic and industry awareness of IBM's presence in the relevant 
fields.  The candidate should have strong hands-on skills and be able to 
develop prototypes and evaluate ideas, which will also include 
collaboration with users and domain experts.  Such capabilities include 
strong numerical and analytical skills, experience with relevant 
development tools, expertise in parallel computing environments, and 
geographic information systems.

The applicant must be able to invent and implement new techniques, work 
with other team members to integrate such work into the group's 
environment and work effectively with customers to define their 
requirements and implement innovative solutions.  An ideal candidate 
must have strong communication skills and a desire to see new technology 
applied in real-world situations.

The successful candidate will work with the extant team to improve and 
maintain current capabilities, and develop and incorporate new 
techniques.  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 good skills in working 
with a team, the ability to work independently is also required.

The successful candidate will have a Ph.D. or equivalent with at least 5 
years of professional experience, and a demonstrated record of 
innovation and expertise in leading research including significant 

*_Academic Requirements_*:  The candidate must have a doctoral degree in 
atmospheric or related sciences from an accredited college or university 
with extensive operational and/or programming experience.

*_Required Computing Skills_*:  Strong meteorological computing skills 
in a Linux environment, scripting (e.g., shell, perl, python), and C/C++ 
or FORTRAN programming as well use of appropriate development 
environments, and data formats/structures (e.g., netCDF, GriB), 
visualization, graphics and image processing (e.g., OpenDX, GEMPAK, 
GrADS, ImageMagick, R, NCL, Matlab, RIP), statistical analysis tools 
(e.g., MET, R, SPSS), version control system for software development 
(e.g., git), and high-performance parallel (cluster) computing 
environment (e.g., Linux clusters)

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.

If you are interested in this position, please visit 
https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0661680.  If 
you go to _https://jobs3.netmedia1.com/cp/faces/job_search_, you can 
create a new account in order to apply to this position (see on the right).

**Lloyd A. Treinish*
IBM Distinguished Engineer
Chief Scientist - Deep Thunder
Smarter Energy and Environmental Science
Industry Solutions Research, IBM Thomas J. Watson Research Center
1101 Kitchawan Road, Yorktown Heights, NY 10598
914-945-2770, lloydt at us.ibm.com

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