Description
Job Description
Job Title:
Postdoctoral Research Associate - Atmospheric Science, Data Mining, Time Series, Applied Mathematics (5717)
Job ID:
14943
Location:
Building 0179A
Full/Part Time:
Full-Time
Regular/Temporary:
Post Doctorate
Requires a Ph.D. in atmospheric sciences or related fields. Skills in data mining, time series, applied mathematics, and visualization; as well as experiences with extensive data streams is also required. Close interactions with scientists both from BNL and other participating institutions, as well as with the other positions in this area, and willingness to work in a team environment are expected. Familiarity with aerosols, clouds, turbulence, radiation transfer, ARM, and aircraft data is highly desirable. This position will primarily focus on developing and using new metrics/approaches to evaluate model performance against observations. Models to be involved include climate models in both â??climate modeâ? and â??forecast modeâ?, numerical weather prediction models, and cloud-resolving models. Data (model simulation and observation) range from 2D to 4D). Under the direction of Y. Liu, Environmental Sciences Department. When applying for a position, please add the contact and email address of at least three references in the Reference box located on the application page. Please note that if you have applied for multiple positions under one application, the same reference information is attached to all those positions. If you elect to use different referees for different positions, please apply to each position separately. BNL policy states that Research Associate appointments may be made to those who have received their doctoral degrees within the past five years.
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Details:
Job Id:
18602807
Posted / Updated:
5/19/2012 5:08:22 AM
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