NA Digest, V. 21, # 48

NA Digest Sunday, December 26, 2021 Volume 21 : Issue 48


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

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From: Karel Segeth segeth@math.cas.cz
Date: December 26, 2021
Subject: 2021 Babuska Prize Awarded


In December 2021, the Czech Society for Mechanics and the Union
of Czech Mathematicians and Physicists again awarded the I. Babuska
Prize for the best work in computational mechanics and computational
mathematics submitted by students and young scientists. The Prize
winner for 2021 is Dr Monika Balazsova from the Faculty of
Mathematics and Physics of Charles University in Prague. The work
honored is her PhD thesis Numerical analysis of problems in time-
dependent domains.

The second position was awarded to Dr Jan Valasek who was delivered
a diploma of honor for his PhD thesis Numerical simulation of fluid-
structure-acoustic interaction in human phonation defended at the
Faculty of Mechanical Engineering of the Czech Technical University in
Prague.

The third position belongs to Dr Karel Mikes from the Faculty of
Civil Engineering of the Czech Technical University in Prague who
presented his PhD thesis Quasicontinuum-inspired modeling of
inelastic materials.

Further diplomas of honor were delivered to MS theses. The first
position in this category was taken by Radim Dvorak from the Faculty
of Mechanical Engineering of the Czech Technical University in
Prague. The second was Jakub Homola from the Faculty of
Mathematics and Physics of Charles University in Prague and the third
position belongs to Jana Trdlicova from the Faculty of Electrical
Engineering and Computer Science of the VSB--Technical University of
Ostrava.

The Prize was established in 1994 by an outstanding Czech
mathematician Ivo Babuska (University of Texas at Austin, TX) who
celebrated his 95th birthday this year.


From: Ren=C3=A9 Fritze rene.fritze@wwu.de
Date: December 22, 2021
Subject: Software Release, pyMOR 2021.2


pyMOR 2021.2 (December 22, 2021)

We are proud to announce the release of pyMOR 2021.2! New features in
this release are the addition of Dynamic Mode Decomposition for data-
driven model order reduction and the formalization of model
inputs. Further, general output error bounds for Reduced Basis
reductors and experimental scikit-fem support as an alternative to the
builtin discretizers were added. Wachspress' shifts accelerate the
solution of Lyapunov equations for symmetric system matrices.

Over 300 single commits have entered this release. pyMOR 2021.2
contains contributions by Tim Keil, Jonas Nicodemus and Henrike von
Hulsen.

The detailed release notes can be found at
https://docs.pymor.org/2021-2-0/release_notes/all.html#pymor-2021-2-december-22-2021



From: Kris ONeill oneill@siam.org
Date: December 23, 2021
Subject: New Book, Applied Numerical Linear Algebra


Applied Numerical Linear Algebra
by William W. Hager

Applied Numerical Linear Algebra introduces students to numerical
issues that arise in linear algebra and its applications. A wide range
of techniques are touched on, including direct to iterative methods,
orthogonal factorizations, least squares, eigenproblems, and nonlinear
equations. Inside Applied Numerical Linear Algebra, readers will find
clear and detailed explanations on a wide range of topics from
condition numbers to the singular value decomposition, material on
nonlinear systems as well as linear systems, frequent illustrations
using discretizations of boundary- value problems or demonstrating
other concepts, exercises with detailed solutions at the end of the
book, and supplemental material available at
https://bookstore.siam.org/cl87/bonus. This textbook is appropriate
for junior and senior undergraduate students and beginning graduate
students in the following courses: Advanced Numerical Analysis,
Special Topics on Numerical Analysis, Topics on Data Science, Topics
on Numerical Optimization, and Topics on Approximation Theory.

2021 / xiv + 424 pages / Softcover / ISBN: 978-1-611976-85-4 / List
Price $89.00 / SIAM Member Price $62.30 / CL87

SIAM Bookstore:
https://my.siam.org/Store/Product/viewproduct/?ProductId=3D40273155



From: Daniel Robinson daniel.p.robinson@gmail.com
Date: December 19, 2021
Subject: ICCOPT/MOPTA, USA, Jul 2022


The Industrial and Systems Engineering (ISE) department at Lehigh
University is excited to host the jointly held International
Conference on Continuous Optimization (ICCOPT) and Modeling and
Optimization: Theory and Applications (MOPTA) conference at Lehigh
University in Bethlehem, Pennsylvania, USA on July 23-28, 2022. A
summer school will take place on July 23-24, with the main conference
on July 25-28.

Please save the dates and visit our conference website
(https://iccopt2022.lehigh.edu), where you will find preliminary
information about the plenary and semi-plenary speakers, conference
clusters/themes, important deadlines, travel, and local
accommodations. Cluster chairs have already started to invite session
organizers to submit invited sessions, and contributed talk
submissions will be accepted starting in a few weeks.

The local organizing committee is excited to host and organize
ICCOPT/MOPTA 2022. This will give us an opportunity to share our
beautiful campus and vibrant city of Bethlehem with everyone.

Please note that the organizing committee is fully committed to
hosting ICCOPT/MOPTA 2022 as an in-person conference. We ask all
potential participants to respond optimistically to invitations from
session organizers, even though individual plans may change at a later
date. Further information about registration, including cancellation
policies, is expected to be made available in January 2022.


From: Department of Computer Science, Hong Kong Baptist University
wwwadm@comp.hkbu.edu.hk
Date: December 20, 2021
Subject: Multiple Professor Positions, CS, Hong Kong Baptist Univ


The Department of Computer Science at Hong Kong Baptist University
offers BSc, MSc, MPhil, and PhD programmes, and is now seeking
outstanding applicants for the following faculty positions on
tenure-track: Professor / Associate Professor / Assistant Professor
(Computer Science) (3 vacancies) (PR0395/21-22).

The appointees will perform high-impact research, teach and supervise
students at undergraduate and postgraduate levels, and contribute to
professional and institutional services. Collaboration with other
faculty members in research and teaching is also expected. They will
be encouraged to collaborate with colleagues within the Department to
contribute to two special thematic applications including (a) health
informatics and (b) security and privacy-aware computing, and to
pursue new strategic research initiatives under the
Department/Faculty/University. Applicants should possess a PhD degree
in Computer Science, Computer Engineering, Information Systems, or a
related field, and sufficiently demonstrate abilities to conduct high
quality research in areas including but not limited to: Internet of
things, Cyber-security, High- performance computing, Big data
analytics, Art technologies and Financial technologies. Applicants
should also show strong commitment to undergraduate and postgraduate
teaching in computer science and/or information systems, possess track
record of innovative research and high-impact publications, and be
able to bid for and pursue externally-funded research programmes.

Initial appointment will be offered on a fixed-term contract of three years.
Re-appointment thereafter will be subject to mutual agreement.

For enquiries, please contact Professor Jianliang Xu, Head of
Department ( email: xujl@comp.hkbu.edu.hk ). More information about
the Department can be found at https://www.comp.hkbu.edu.hk .

Closing date: Shortlisting will start immediately until the position is filled.

URL: https://www.comp.hkbu.edu.hk/v1/?page=3Djob_vacancies&id=3D743


From: Bojana Rosic b.rosic@utwente.nl
Date: December 20, 2021
Subject: Assistant Professorship Position, UTwente


In the group Applied Mechanics and Data Analysis, Faculty of
Engineering Technology we have two open assistant positions in
particular

Assistant professorship in data analytics for robotic control
described on
https://www.utwente.nl/en/organisation/careers/!/229/assistant-professor-data-analytics-for-robotic-control

as well as

Assistant professorship in nonlinear model reduction for dynamics
models (the second position described on)
https://www.utwente.nl/en/organisation/careers/!/329/

Both positions are permanent after one year of trial phase.


From: Idoia Hernandez recruitment@bcamath.org
Date: December 24, 2021
Subject: Postdoc Position, Climate Change Data Science, BCAM


In the framework of the IKUR Strategy. The 'Applied Statistics'
research line at the BCAM looks for candidates to work on Climate
Change Data Science related projects including spatial downscaling,
uncertainty quantification in climate data, climate projections and
ensembles. The research will be carried out in collaboration with BC3
(Basque Center for Climate Change) and other institutions in the
Basque Country.

Deadline: January 21st, 2022
Application:
www.bcamath.org/en/research/job/ic2021-12-postdoctoral-fellowship-in-climate-change-data-science-ikur

Requirements: Applicants must have their PhD completed before the
contract starts. PhD degree preferable in Mathematics, Statistics,
Physics, Computer Science, Environmental Sciences or related fields

Skills: Good interpersonal skills. A proven track record in quality
research, as evidenced by research publications in top scientific
journals and conferences. Demonstrated ability to work independently
and as part of a collaborative research team. Ability to present and
publish research outcomes in spoken (talks) and written (papers) form.
Ability to effectively communicate and present research ideas to
researchers and stakeholders with different backgrounds. Fluency in
spoken and written English.

Scientific Profile: Strong background in mathematics/
probability/statistics and physics. Background in spatial modelling,
spatio-temporal data modelling, spatial downscaling, environmental and
climate data modelling, Uncertainty Quantification, Machine Learning
(including Gaussian Processes, Neural Networks), Deep Learning
architectures, Bayesian computing. Good programming skills in R,
Python, Spark, and/or C/C++. Knowledge in High Performance Computing
(HPC) systems, GIS tools. Interest and disposition to work in
interdisciplinary groups.


From: Frank E. Curtis frank.e.curtis@lehigh.edu
Date: December 21, 2021
Subject: Postdoc Position, Math Optimization and Data Science, Lehigh Univ


We invite applications for a postdoctoral fellowship position with
Lehigh University's new Program in the Foundations and Applications of
Mathematical Optimization and Data Science (Lehigh MODS).
Applications are welcome immediately. Review of applications will
begin on February 1, 2022, and will continue until the position is
filled. The Lehigh MODS program has been established with the
perspective that mathematical optimization is an essential tool
throughout the revolutionary field of data science. The aim of the
program is to capitalize on Lehigh's world-class reputation in
mathematical optimization research toward advances in these and
related fields. The incoming postdoctoral fellow will be joining an
interdisciplinary team of researchers working on a range of topics
from optimization theory and algorithms to the application of modern
data science and machine learning tools in areas from energy and
healthcare systems to quantum chemistry. The Lehigh MODS team is
composed of faculty members in Lehigh's departments of Industrial and
Systems Engineering (ISE), Chemical and Biomolecular Engineering
(ChBE), Computer Science and Engineering (CSE), Economics (Econ), and
Electrical and Computer Engineering (ECE): Frank E. Curtis (ISE), Aida
Khajavirad (ISE), Alberto J. Lamadrid (Econ), Theodore K. Ralphs
(ISE), Srinivas Rangarajan (ChBE), Daniel P. Robinson (ISE), Karmel
S. Shehadeh (ISE), Lawrence V. Snyder (ISE), Parv Venkitasubramaniam
(ECE), Luis Nunes Vicente (ISE), and Sihong Xie (CSE). All Lehigh
MODS team members are also members of Lehigh's Institute for Data,
Intelligent Systems, and Computation (I-DISC), which provides
administrative support for the program. A successful candidate will
have a Ph.D. or equivalent degree by Summer 2022. In addition to
joining collaborative interdisciplinary projects, the incoming
postdoctoral fellow will be expected to contribute modestly to the
program, such as aiding in the organization of seminars and workshops.

The fellowship position would start at a mutually agreed-upon date.
The term of the position is negotiable and could be 1 or 2 years. A
formal application includes a cover letter, curriculum vitae, research
statement (at most 4 pages), and list of at least 3 references.
Applications should be sent by email to frank.e.curtis@lehigh.edu.
Informal inquiries in advance of a formal application are welcome.


From: Armin Eftekhari armin.eftekhari@gmail.com
Date: December 26, 2021
Subject: Postdoc Position, Optimization, Umea Univ


The Department of Mathematics and Mathematical Statistics at Umea
University is seeking a postdoctoral fellow in high-dimensional
stochastic optimization with application to prehospital care. The
fellowship is for two years with a starting date of February 21, 2022,
or by agreement. Optimization plays a key role in data-driven
decision-making, where problems are often high-dimensional and of
black-box nature. The focus of this project is to develop new theory
and algorithms for the area, with a suggested emphasis on a new family
of stochastic derivative-free algorithms that search for
low-dimensional structure in a black-box problem.

As an application of this theory, the appointed candidate will have
the opportunity to interact with a multidisciplinary research team
focused on optimizing prehospital care in Sweden. A digital twin of
the problem has already been developed which, through large-scale
simulations, allows us to numerically assess various resource
allocations (location and scheduling of ambulances). The objective is
to find the optimal resource allocation, subject to economical and
practical constraints.

This postdoctoral fellowship is financed by The Kempe Foundations and
amounts to 312 000 SEK per year.

Umea offers excellent working and living conditions. The city is young
and located right next to a large river. It is surrounded by forests
and lakes and lies close to the sea. In the vicinity, there are plenty
of opportunities for both indoor and outdoor activities.

For more information and instructions on how to apply, please see:
https://www.umu.se/en/work-with-us/postdoctoral-scholarships/6-2685-21/


From: Buyang Li buyang.li@polyu.edu.hk
Date: December 24, 2021
Subject: Postdoc Position, Scientific Machine Learning


New funding is available for a postdoctoral position in Scientific
Machine Learning for PDE-related problems arising from physical and
engineering applications, at Department of Applied Mathematics, The
Hong Kong Polytechnic University. Candidates with research experience
in machine learning, numerical analysis, PDEs and harmonic analysis
are welcome to apply.

Application procedure: Send your CV (with a list of publication) to
Dr. Buyang Li via E-mail address: buyang.li@polyu.edu.hk


From: Fehmi Cirak fc286@cam.ac.uk
Date: December 19, 2021
Subject: Postdoc Position, Statistical Finite Elements, Univ of Cambridge


We are looking for a postdoc for research on statistical finite
elements and Bayesian inference in computational mechanics with
applications to digital twins.

Candidates should have a strong background in at least two of the
following:
- Finite Element Analysis
- Bayesian Inference and Probabilistic Machine Learning
- Applied Numerical Analysis
- Uncertainty Quantification

Additional experience and skills required include:
- Experience in implementing finite element or statistical research
software, ideally using C/C++, Python and their associated
frameworks.
- A developing track record in producing high-quality publications.
- Ability to work in a team and interact professionally within a team
of researchers and PhD students.
- Highly effective communication, presentation and training skills.

The ideal starting date for the position is early 2022. Interested
candidates should send their CV and representative publications to
fc286@cam.ac.uk (Prof. Fehmi Cirak).


From: Bernie J. Daigle, Jr. bjdaigle@memphis.edu
Date: December 21, 2021
Subject: PhD Position, Bioinformatics/Comp Biology, Univ of Memphis


Experimental biologists are generating data at an unprecedented rate.
Unfortunately, biological insight has not kept pace with this deluge
of data. The goal of my lab is to improve the inference of biological
meaning from the wealth of experimental data collected from single
cells to whole organisms. To do so, we develop sophisticated
statistical and computational tools that enable integrated analyses of
noisy, heterogeneous datasets. More information on the lab can be
found at http://daiglelab.org.

Assistantships are available for students interested in pursuing Ph.D.
research in bioinformatics and/or computational systems
biology. Active research areas in the lab include computational
identification of disease biomarkers from high-throughput omics data
and machine learning- based inference of gene regulatory networks
(GRNs) from single-cell data. We currently have openings in two
projects from these areas: (1) biomarker discovery for post-traumatic
stress disorder (PTSD) from clinical and molecular data collected from
military populations, and (2) application of deep learning techniques
to rapidly and accurately infer GRNs from single- cell RNA-sequencing
data.

The successful candidate should be highly motivated and have some R
and/or Python programming experience. Prior research experience in
bioinformatics and/or computational biology is desirable. Details
about admission and degree requirements can be found at
http://www.memphis.edu/biology/graduate (Ph.D., Biological
Sciences). To ensure full consideration, applications should be
completed by February 1. Accepted students will be supported through
a graduate assistantship. If interested, please first email
Dr. Daigle (bjdaigle@memphis.edu) your CV and a concise statement
describing your interest in the position, previous research
experience, and relevant coursework.



From: On behalf of Ali Pourmousavi Kani hirad.assimi@adelaide.edu.au
Date: December 21, 2021
Subject: PhD Positions, Mine Electrification, Univ of Adelaide, Australia


We are hiring two PhD students to work with us at The University of
Adelaide in Australia on the mining mobile fleet electrification. The
project is funded by Future Battery Industries Cooperative Research
Centre collaborating with several companies and state governments
agencies. It is an intellectually challenging and extremely important
project for the resource sector in Australia. We want to provide the
Australian mining industry with a suite of decision-making tools and
information that will aid their transition towards the use of
battery-supported electric vehicles (BEVs) and associated stationary
machinery in their mining operations. Your contributions to this work
would help a critical industry achieve its net-zero emission goal and
cost reduction with a tangible impact on the climate and the health of
mining workers. Candidates with an Australian equivalent first-class
honours degree (or a master's degree) in *electrical engineering*,
*operations research*, *applied mathematics*, or *computer science*
with experience in power systems and e-transportation are encouraged
to apply. The opportunities are valued at A$35K pa stipend + A$5K pa
research allowance. Please see more details at:

https://scholarships.adelaide.edu.au/Scholarships/postgraduate-research/faculty-of-engineering-computer-and-mathematical-sciences/phd-3
https://scholarships.adelaide.edu.au/Scholarships/postgraduate-research/faculty-of-engineering-computer-and-mathematical-sciences/phd-2

International students are eligible to apply.
The application deadline is until positions are filled.

On behalf of Ali Pourmousavi Kani
T: +61 8 8313-8311
E: a.pourm@adelaide.edu.au
W: https://researchers.adelaide.edu.au/profile/a.pourm


From: Vadym Aizinger vadym.aizinger@uni-bayreuth.de
Date: December 25, 2021
Subject: CFP, Numerical Methods for Ocean Modeling, Geomathematics


GEM - International Journal on Geomathematics invites you to submit to
the Topical Collection "Numerical Methods for Global and Regional
Ocean Modeling" edited by Vadym Aizinger, Tuomas Karna, Daniel Le Roux
and Y. Joseph Zhang, which provides an overview of the progress in
this rapidly developing area, to identify current challenges, and to
present and discuss promising approaches.

The topics covered include but are not limited to the design and
analysis of novel discretization schemes for the hydrodynamics and
other relevant physical processes, development of inverse and reduced
order models, application of stochastic techniques, adaptivity, model
coupling, and other mathematical and numerical methodologies relevant
to the area of ocean modeling. In addition, submissions of overview
papers reporting on significant conferences in the field are highly
encouraged.

The submission Deadline has been extended until March 31st, 2021;
please feel free to forward this "Call for Papers" to other colleagues
active in this area.


From: Saul Buitrago Boret sbutrago@usb.ve
Date: December 19, 2021
Subject: Contents, Bull Computational Applied Mathematics, 9, (1)


Table of Contents
Bulletin of Computational Applied Mathematics, Vol.9, N1, 2021
http://www.compama.co.usb.ve/table-of-contents
https://sites.google.com/usb.ve/bullcompama/table-of-contents

The mathematical physical meaning of the Rarita Schwinger equation
factored by a weighted Dirac operator, Part I, Benjamin de Zayas,
Carmen Judith Vanegas

A student's academic index using multivariate techniques, Maria Elena
Lopez Zamora, Lelly Useche, Carlos Montes Rodriguez

Statistical analysis of the impact of COVID-19: a study case on
several countries, Maria Cristina Sabando-Alvarez, Darwin
X. Tallana-Chimarro, Isidro R. Amaro, Franklin Camacho

A fundamental solution for the Laplace operator in a doubly connected
domain, Jose Luis Vergara Ibarra, Carmen Judith Vanegas

Citizen insecurity in Ecuadorian provinces during the COVID-19
pandemic: multivariate statistical exploratory analysis using
GGEBiplotGUI, Juan Burbano-Gallegos, Katherine Garcia-Pinargote,
Isidro R. Amaro

End of Digest
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