De: Jennifer Haase 
 Date: 6 mai 2005 17:15:26 GMT+02:00

 Please let me know if you know of any graduate students finishing up 
 or recently finished that would be interested in a postdoctoral 
 position at Purdue University working on the following research 
 projects. The position would start as soon as possible.

 Research investigating atmospheric properties using GPS signals 
 recorded from an airborne platform. GPS navigation signals that pass 
 near horizontally through the atmosphere from satellites that are 
 setting behind the Earth are significantly delayed due to the varying 
 index of refractivity of the atmosphere, which in turn depends on the 
 atmospheric state ^Ö pressure, temperature, and humidity. We are 
 developing a new airborne system for atmospheric remote sensing based 
 on this concept to fly on the HIAPER aircraft (High performance 
 Instrumented Airborne Platform for Environmental Research). The 
 research requires a broad range of interests beyond atmospheric 
 science, in particular electromagnetic wave propagation and theory of 
 optics. The candidate should have a strong quantitative/mathematical 
 background in atmospheric science, physics, geophysics, mathematics, 
 or engineering and prior experience in programming in C or Fortran. 
 Candidate should have an intimate working knowledge of precision GPS 
 analysis software such as GIPSY, GAMIT, or BERNESE.

 Research using the new high resolution MODIS sensor on the Terra and 
 Aqua Earth Observation Satellites. The MODIS sensor is able to image 
 precipitable water vapor with an unprecedented resolution of 1 
 kilometer. The research project involves preparation of the data for 
 assimilation into weather prediction models for improving the 
 forecasts of events such as hurricane Lili in 2002. Hurricane Lili 
 grew in intensity category 2 to category 4 in 24 hours, then 
 decreased in intensity even more rapidly, from category 4 to category 
 1 in 13 hours, a phenomena that is still currently unexplained. The 
 candidate will compare MODIS data with GPS precipitable water vapor 
 data and develop algorithms for evaluating data quality, and will 
 learn to use the NCL language for manipulating satellite data.  The 
 candidate should have a strong interest in atmospheric remote 
 sensing, a relatively quantitative mathematical background and prior 
 experience in programming.  Candidate should have xperience with 
 software such as NCL and ESRI. Experience with NWP modeling, 
 particularly WRF, is a particular advantage.

 Potential candidates should send a curriculum vitae (including 
 citizenship and/or visa status), statement of research interests, and 
 the name of 3 references to:

 Jennifer Haase
 550 Stadium Mall Dr.
 West Lafayette, IN, 47907-2051
 jhaase@purdue.edu
 Fax: +1-765-496-1210   Tel: +1 765-494-1643
 (electronic email applications will be accepted)