[Job-offers-cs] Postdoc at University of Colorado Boulder on data compression

[Pekka Orponen]

Applications are invited for a postdoctoral position available 
immediately in the Applied Mathematics and Smead Aerospace Engineering 
Sciences departments at the University of Colorado, Boulder.

The appointee will conduct fundamental research in broad areas of 
large-scale PDE data compression using advanced techniques from machine 
learning, PDE discretization, model reduction, and scientific computing. 
The postdoc will be co-advised by Profs. Stephen Becker (Applied Math) 
and Alireza Doostan (Aerospace).

Applicants must have a Ph.D. in areas related to applied mathematics and 
computational sciences or engineering. Preference will be given to 
candidates with computational skills and expertise in one or more areas 
including but not limited to:

  * randomized linear algebra,
  * deep learning,
  * model reduction, and
  * online optimization strategies.

The interested candidates should submit a CV, a brief (max one page) 
statement of research interests, and contact information of two 
references to Prof. Stephen Becker 
(stephen.becker at colorado.edu<mailto:stephen.becker at colorado.edu>). or 
Prof. Doostan (doostan at colorado.edu<mailto:doostan at colorado.edu>). 
Questions may be directed to Prof. Becker or Prof. Doostan. More 
information at jobs.colorado.edu/jobs/JobDetail/?jobId=68633 
<https://jobs.colorado.edu/jobs/JobDetail/?jobId=68633%C2%A0>



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Stephen Becker
Dept. of Applied Math
University of Colorado Boulder
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