[Job-offers-cs] Postdoc in Applied Math and Statistics for Data-Driven Discovery at the University of Arizona

Pekka Orponen pekka.orponen at aalto.fi
Fri Feb 14 17:03:37 EET 2020


-------- Forwarded Message --------
Subject: [SIAM-DY] Postdoc in Applied Math and Statistics for 
Data-Driven Discovery at the University of Arizona
Date: Thu, 6 Feb 2020 06:44:18 -0700
From: Kevin K. Lin <klin at math.arizona.edu>
To: Pekka Orponen <pekka.orponen at aalto.fi>
CC: The Dynamical Systems SIAG mailing list <siam-dy at siam.org>

The Department of Mathematics at the University of Arizona anticipates 
funding for Postdoctoral Research Associates with research interests in 
the intersection of modern applied & computational mathematics, 
statistics & data science, and applications to physical, biological, and 
engineered systems.  Subject to the availability of funding, these are 
three-year postdoctoral positions (non-tenure eligible) with an 
appointment beginning in Fall 2020.  Review is on-going, and the 
positions will remain open until filled.  US citizenship or permanent 
residency required.

The positions are specific to the Research Training Group (RTG) in 
Applied Mathematics and Statistics for Data-Driven Discovery at the 
University of Arizona.  The RTG conducts vertically integrated training 
in diverse research areas, including (but not limited to) imaging and 
image processing, high dimensional and complex data analysis and 
statistical inference, machine learning for data-driven modeling and 
model reduction in multi-physics dynamical systems, environmental data 
assimilation and uncertainty quantification, and physiological time 
series analysis, with an emphasis on the design, analysis, and 
application of modern machine learning and computational statistics 
techniques.

Successful candidates will conduct teaching and research in the 
Department of Mathematics, with close mentoring by an RTG faculty 
member.  Current RTG faculty are Mathematics / Statistics / Applied 
Mathematics faculty Misha Chertkov, David Glickenstein, Ning Hao, Leonid 
Kunyansky, Kevin Lin, Yue (Selena) Niu, Marek Rychlik, Shankar 
Venkataramani, and Hao Helen Zhang, as well as Ali Bilgin (Electrical 
Engineering) and Megha Padi (Molecular Biology).

For more information and to apply for the position, see 
https://www.mathjobs.org/jobs/jobs/15619 .  Please direct all questions 
to Kevin Lin <klin at math.arizona.edu>.



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