CEDAR email: JOB OPENING: Postdoctoral Fellowship in Upper Atmosphere and Ionospheric Machine Learning

[Hodyss, Daniel H CIV USN NRL WASHINGTON DC (USA)]

JOB OPENING: Postdoctoral Fellowship in Upper Atmosphere and Ionospheric Machine Learning

 

The Upper-Atmosphere Physics group in the Remote Sensing Division at the U.S. Naval Research Laboratory is seeking a talented and motivated postdoctoral fellow to conduct research in the application of advanced machine learning/artificial intelligence techniques to the simulation of upper atmospheric (mesosphere/thermosphere) and ionospheric physics. This position will focus on the application and development of machine learning techniques for the emulation of complex physical processes that induce coupling between these atmospheric regions.    

 

The long-term goal of our group is the development of a fully coupled, ground-to-space, whole atmosphere numerical weather model and data assimilation system that integrates both neutral and plasma dynamics. The successful candidate will play a key role in this effort by leveraging NRL's extensive datasets and first-principles physics models to create novel machine learning-based parameterizations of critical processes. This is a unique opportunity to work at the intersection of atmospheric science, plasma physics, and artificial intelligence with a leading research group that has access to unparalleled computational resources and proprietary datasets.

 

This position is open to U.S. citizens only. The fellowship will be administered through the National Research Council Research Associateship Programs.  

 

For more information about the position, please contact: Dr. Dan Hodyss (daniel.h.hodyss.civ at us.navy.mil) 

 

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.ucar.edu/pipermail/cedar_email/attachments/20251021/54bc94e1/attachment-0001.htm>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: smime.p7s
Type: application/pkcs7-signature
Size: 5420 bytes
Desc: not available
URL: <https://mailman.ucar.edu/pipermail/cedar_email/attachments/20251021/54bc94e1/attachment-0001.p7s>