[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>.
More information about the Job-offers-cs
mailing list