NA Digest, V. 22, # 31

NA Digest Monday, September 26, 2022 Volume 22 : Issue 31


Today's Editor:

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

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html

Submissions for NA Digest:

http://icl.utk.edu/na-digest/


From: Carola-Bibiane Sch=F6nlieb cbs31@cam.ac.uk
Date: September 20, 2022
Subject: Call for Papers, IMA Fox Prize 2023


The prestigious IMA Leslie Fox Prize is to be held in collaboration
with The Alan Turing Institute for the first time. The outstanding,
biennal prize was established in 1985 in honour of distinguished
mathematician and researcher Leslie Fox. The next prize (the
twenty-first) will take place during June 2023, aligning with the 29th
Biennial Numerical Analysis Conference in Strathclyde.

Entries for the twenty-first IMA Leslie Fox Prize for Numerical
Analysis should be submitted by 31st of January 2023 using the form on
the website (link below). Any person who is less than 31 years old on
1st of January 2023 and has not already won a first prize is eligible
- candidates need not come from academia.

Each entry should be based on a paper, describing some of the
candidate's research, that is suitable for a 40 minute lecture at a
numerical analysis meeting.

For detailed eligibility criteria and submission guidelines please
check the website
https://ima.org.uk/14623/ima-fox-prize-2023-call-for-papers/



From: Kris ONeill oneill@siam.org
Date: September 19, 2022
Subject: Career Fair, SIAM MDS22, USA, Sep 2022


The Society for Industrial and Applied Mathematics (SIAM) is hosting
an onsite career fair on September 29, 2022 in conjunction with the
SIAM Conference on the Mathematics of Data Science (MDS22) in San
Diego, CA. We're expecting to draw hundreds of graduate students and
early career professionals looking for their next career
opportunity. This is an/ideal place to recruit employees with
mathematical, computational, and data science education and training,
and it is an excellent opportunity to present your company's mission
and vision to a broad audience. Last call for employers and job
seekers if you're interested in participating. Please register at
this link: https://www.siam.org/careers/resources/siam-career-fairs

Please contact marketing@siam.org with any exhibit, sponsor, or career
fair questions.


From: Eda Oktay edaoktay95@gmail.com
Date: September 20, 2022
Subject: SWAM, Czech Republic, Nov 2022


We would like to invite you to the Student Workshop on Applied
Mathematics (SWAM) in Prague, Czech Republic on 17-19 November 2022,
funded by 4EU+ Alliance. This workshop is organized by Ph.D. students
from Charles University (SIAM Student Chapter Prague), University of
Heidelberg (SIAM Student Chapter Heidelberg), and University of
Copenhagen.

The purpose of this workshop is to bring graduate students studying
applied mathematics in natural sciences, engineering, and mathematics
together and create an environment to share ideas from different
perspectives and to enable easier communication with researchers for
possible interdisciplinary international collaboration.

Along with the invited speakers in each field, we are encouraging
graduate students to present their work as a short-presentation with a
minimum duration of 15 minutes and maximum of 30 minutes including
discussion. The deadline for submission for short talk and
registration is October 17, 2022. The registration is open now.

Registration form and more details can be found in the event on the
SIAM SC Prague webpage: https://siam.cuni.cz/en/events/event/292.

For any questions or further details, please contact
studentworkshop@4euplus.eu.


From: James A Nichols james.nichols@anu.edu.au
Date: September 22, 2022
Subject: High Dimensional Approximation, Australia, Feb 2023


The 9th Workshop on High Dimensional Approximation (HDA2023) will take
place from February 20th to 24th 2023, in Canberra, Australia, on the
campus of the Australian National University.

Registration and talk submissions are open at
https://maths.anu.edu.au/news-events/events/9th-workshop-high-dimensional-approximation-hda2023

There is some funding to support the accommodation and conference fees
for a small number of students, early career researchers, or
researchers from developing nations. Please submit a short cover
letter outlining your circumstances, to be considered for this
funding.

Deadline for early bird registration : 2nd December 2022
Deadline for talk submissions: 6th January 2023

The workshop is a series of (normally) biennial international meetings
covering current research on high-dimensional problems. HDA2023 will
cover a range of topics central to modern high-dimensional
approximation and their applications. Topics include, but are not
limited to, Nonlinear approximation; Numerical integration; Tensor
decomposition; Sparsity-exploiting approximation; Sparse grid methods;
Quasi-Monte Carlo methods; Polynomial chaos expansions; Discrepancy
and dispersion theory; Dimensionality reduction; Uncertainty
quantification; Reduced modelling; Inverse problems.


From: Dr. Pandian Vasant vasantglobal@gmail.com
Date: September 21, 2022
Subject: Intelligent Computing & Optimization, Thailand, April 2023


CALL FOR PAPERS, SPECIAL SESSIONS, POSTERS & DEMOS
ICO 2023- In Person Conference (G Hua Hin Resort & Mall, Hua Hin,
Thailand), 6th International Conference on Intelligent Computing &
Optimization 2023, 27-28th April, 2023

Submission deadline: February 19, 2023
Web page: https://www.icico.info/
Submission link- https://easychair.org/my/conference?conf=3Dico2023
E-mail: icico2018@gmail.com
https://easychair.org/cfp/ICO-2023

Paper Submission
Website: The submission Web page for ICO 2023 is
https://easychair.org/conferences/?conf=3Dico2023




From: Bernie Wang ywang02@mit.edu
Date: September 23, 2022
Subject: Honoring Alan Edelman, 60th Birthday, USA, Jul 2023


We are happy to announce the conference Synergistic Interactions
between Theory and Computation: a Celebration of Alan Edelman's Work
and his 60th Birthday, to be held on July 27-29, 2023 at MIT, in
conjunction with JuliaCon 2023 (July 24-28). We'd like to invite you
to join us - if you are able, and please register at
https://math.mit.edu/events/ase60celebration/registration/.

In this conference, we are trying to cover the many areas of random
matrix theory, numerical linear algebra, and scientific computing that
have been enriched by Alan's contributions, which often bring into
sharp focus how a nice computational "trick" often offers a nice
theoretical insight, in reverse from the usual direction. The
confirmed speakers so far are Dan Spielman (Yale), Francoise Tisseur
(Manchester), Nick Trefethen (Oxford), Gil Strang (MIT), John Urschel
(Harvard), Alex Townsend (Cornell), Sherry Li (LBNL), Steven Johnson
(MIT), Jeremy Kepner (MIT Lincoln Lab), Raffaele Ferrari (MIT). Please
see https://math.mit.edu/events/ase60celebration/ for additional
details.

Please feel free to publicize this event to others who might want to
join the celebration.


From: Martin Peters Martin.Peters@springer.com
Date: September 23, 2022
Subject: Mathematics/Statistics Editor Positions, Springer-Verlag


The Springer Mathematics Books Group is seeking to appoint 3 new
members to its Editorial teams in New York/Philadelphia. Book
acquisitions and publishing are core to the positions in conjunction
with working closely with series editors, advisory board members,
authors, and volume editors, to develop monographs, textbooks, and
various other book product types. Travel to conferences and campuses
that meet our strategic goals is required.

Links to the positions are provided for the first 2 opportunities and
the last link will be available at http://careers.springernature.com
site shortly. Keyword search: "Mathematics."

Associate Editor/Editor Applied Mathematics/Statistics
https://careers.springernature.com/job/New-York-Associate-Editor-Editor-
Applied-MathematicsStatistics/834157201/

Associate Editor/Editor Mathematics
https://careers.springernature.com/job/New-York-Associate-
EditorEditor/840579101/

The Editor/Senior Editor position will be posted shortly on the
Springer Nature Group careers site.


From: Daniel R Reynolds reynolds@smu.edu
Date: September 20, 2022
Subject: Faculty Positions, Data Sciences, SMU


Applications are invited for two tenure-track Assistant Professorships
in Computational and Applied Mathematics to begin in the fall semester
of 2023. We are searching for scholars with an outstanding research
record in the mathematical foundations, algorithms, and/or
applications of data science and machine learning, and who have a
track record of interdisciplinary collaborations. The successful
candidates should be committed to interdisciplinary research and
inclusive teaching. These positions are part of a strategic cluster
hire in Data Science and are two of the twelve positions allocated to
the cluster around three areas of focus: Data Core, Health Analytics,
and Technology and Education. The multi-faculty hire represents an
ambitious program to develop large- scale collaborative research
projects responding to some of humankind's most daunting challenges.
In particular, these two positions are associated with the Data Core
group which also includes positions in Computer Science, Statistics,
and Information Technology and Operations Management. Faculty are
expected to teach in our data science programs and to collaborate with
faculty as appropriate in the other cluster areas.

Interested applicants should submit a letter of application
highlighting their qualifications, indicating how they would
contribute to SMU's Data Core group, a complete curriculum vitae,
research and teaching statements, as well as a 1-page statement on how
the applicant will enhance the diversity of our faculty and its
research and best serve a diverse student body. In addition,
applicants should request at least three letters of
recommendation. Applications and supporting documentation, including
letters of recommendation, must be submitted online at
https://apply.interfolio.com/112541.

Applications received by November 30, 2022, will receive full
consideration, but will continue to be accepted until the positions
are filled.

For further information, see https://apply.interfolio.com/112541


From: Sanghyun Lee slee17@fsu.edu
Date: September 21, 2022
Subject: Tenure-Track Position, Mathematical Data Science, Florida State Univ


The Department of Mathematics at Florida State University invites
applications for a tenure-track Assistant Professor position in
mathematical data science, broadly construed, beginning in August
2023. Candidates should have a Ph.D. in mathematics or a related
discipline and postdoctoral experience in applied mathematics. The
ideal candidate will have experience working in research areas that
complement the research interests of the data science group in the
Mathematics Department. These include theory and applications of
machine learning, deep learning approaches to partial differential
equations, optimization, geometrical and topological data analysis,
uncertainty quantification and stochastic computing. The Mathematics
Department offers BS, MS, and PhD degrees in applied and computational
mathematics, as well as degrees in several other areas of
mathematics. Currently, there are 16 applied and computational
mathematics faculty members (core and affiliated) with 39 graduate
students. Many faculty members and students in the department's other
core areas of pure mathematics, biomathematics, and financial
mathematics are interested in data science and our department
encourages cross-disciplinary collaborations.

Applications should include a cover letter, curriculum vitae, research
and teaching statements, and four letters of recommendation (at least
one of the letters should address the candidate's teaching
capability). They should be submitted electronically through
Mathjobs.org and, in addition, through the FSU Jobs website
http://jobs.fsu.edu/ (Job opening ID 53124)

The deadline to apply for this position is November 1st,
2022. Screening of applications will begin on November 2nd. The
Department anticipates filling this position by August 2023..

mathjobs link : https://www.mathjobs.org/jobs/list/20747


From: Kui Ren kr2002@columbia.edu
Date: September 22, 2022
Subject: Assistant Professor Position, Applied Mathematics, Columbia


The Department of Applied Physics and Applied Mathematics (APAM) at
Columbia University in the City of New York invites applications for a
limited term Assistant Professor faculty position in the area of
applied and computational mathematics. The position begins July 1,
2023 for a term of 3 years. Salary is competitive and the teaching
load is relatively light. Basic responsibilities focus on teaching,
research and service.

A recent PhD earned in the last 3 years and no later than the start
date of the appointment, and extraordinary promise in research, are
both required. A broad array of research groups is active in the
department, with current research encompassing applied and
computational mathematics, and their application to many areas of
physics, materials science, biology, earth science, as well as imaging
and data science.

There is a strong cohort of activities on applied and computational
mathematics within the Fu Foundation School of Engineering and Applied
Sciences and the affiliated Data Science Institute. The Department is
especially interested in qualified candidates who can contribute,
through their research, teaching, and/or service, to the diversity and
excellence of the academic community.

Applications must include: (a) curriculum vitae (b) statement of
research, (c) statement of teaching, and (d) at least three letters of
recommendation.

Candidate must also apply through: http://apply.interfolio.com/114046

Applications received by November 7, 2022 will be given full
consideration. For questions concerning the position, please email
apam@columbia.edu

Applicants are encouraged to consult
http://appliedmath.apam.columbia.edu for more information about the
applied mathematics program, and https://apam.columbia.edu/ for more
information about the department.


From: Vanessa Peinhart vanessa.peinhart@uni-graz.at
Date: September 23, 2022
Subject: University Assistant Positions, Univ of Graz


The Institute of Mathematics and Scientific Computing of the
University of Graz is looking for two University assistants with
doctorate (m/f/d) within the group of Prof. Dr. Christian Clason.
(40 hours a week fixed-term employment for 6 years position to be
filled as of now)

Your duties: Research in the field of continuous, infinite-dimensional
optimization (analysis and numerics); Collaboration in major projects
of the institute; if appropriate, own acquisition of third-party
funding; Conducting courses and examinations, including in the area of
optimisation/ numerics; Collaboration in the supervision of students;
Possibility to work on a relevant habilitation or qualification for a
professorship.

Your Profile: Completed doctorate in mathematics; Sound knowledge of
infinite-dimensional, nonsmooth, and/ or stochastic/ statistical
optimisation; Sound knowledge of the algorithmic implementation of
optimisation methods Interest in interdisciplinary cooperations; High
potential for scientific excellence (demonstrated by, e.g. relevant
publication activity in international peerreviewedjournals
commensurate with career status); Excellent proficiency in English;
Didactic aptitude for independent teaching; Ability to communicate and
work in a team.

More information can be found at our institutional webpage or via the
links below. For application please use these two links (the jobs are
handled seperatly):
https://jobs.uni-graz.at/ausschreibung/en/?jh=3Dgxv0yw01nqn53ss9ms3agqznmurr6zw
https://jobs.uni-graz.at/ausschreibung/en/?jh=3D4xaw1ax1ta1v2bzgtapewkn5zz9yilg


From: Fabricio Simeoni de Sousa f.s.sousa@usp.br
Date: September 22, 2022
Subject: Postdoc Position, Computational Fluid Dynamics, Brazil


Area: Computational Fluid Dynamics
Project title: High-performance computing using multiscale domain
decomposition methods
Location: ICMC/USP - Sao Carlos - Sao Paulo - Brazil

The Center for Mathematical Sciences Applied to Industry (CeMEAI), a
Research, Diffusion and Innovation Center (CEPID) funded by FAPESP and
hosted at ICMC-USP - Brazil, offers a 12-month postdoc fellowship in
the area of Computational Fluid Dynamics. The objective is the
development of multiscale domain decomposition methods and its
implementation in a HPC environment, for the direct numerical
simulation of incompressible flows. Candidates must have obtained a
PhD in the last 5 years, and must provide at least three authored
scientific articles in the field, as well as proof of experience in
the implementation of parallel methods in C/C++, in HPC environments.

To apply, send the following items (PDF only) by email to
prof. Dr. Fabricio Simeoni de Sousa (F.S.Sousa@usp.br) no later than
October 31st, 2022: 1. Letter of interest, containing complete contact
information and year of graduation; 2. Curriculum; 3. Cover letter
including names and contact information for two references. Enter
"Postdoc - Multiscale" in the subject field of the message. The
selected candidate will receive a Post-Doctoral fellowship from FAPESP
in the amount of R$8.479,20 monthly and a research contingency fund,
equivalent to 10% of the annual value of the fellowship which should
be spent in items related to the research activity.


From: Roman Hatzky roman.hatzky@ipp.mpg.de
Date: September 20, 2022
Subject: Postdoc Position, HPC, MPI for Plasma Physics


On behalf of the European Fusion Community the Max-Planck Institute
for Plasma Physics (IPP) offers an opportunity to participate in a
group for the high level support of European code developments for
magnetic fusion related plasma physics and material modelling. Experts
in high performance computing (HPC) are invited to apply for a
position in this group.

More information can be found under the code number 22/060 at:
https://www.ipp.mpg.de/job-dd1ca41379eb2cd28efcaa77f6d0f6dc?c=3D17953


From: Alexander Ostermann alexander.ostermann@uibk.ac.at
Date: September 22, 2022
Subject: Postdoc Position, Numerical Analysis, Univ of Innsbruck, Austria


The Department of Mathematics at the University of Innsbruck offers a
postdoc position in the group of Prof. Alexander Ostermann
(https://www.uibk.ac.at/mathematik/na/team/ostermann/). We are looking
for a motivated researcher working in the field of numerical analysis
of partial differential equations. The position comes with a moderate
teaching load (4h/week).

Applicants must have a PhD in mathematics and research experience in
the field of numerical analysis of partial differential equations. The
ideal candidate has experience in one or more of the following areas:
time integration, geometric integration, dispersive problems,
non-smooth initial data.

For more details and the link to apply online, please see the official
job announcement:
https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=3D12993

Because the University is committed to increasing diversity,
applications from members of underrepresented groups are especially
encouraged.


From: Heike Sill Heike.sill@wias-berlin.de
Date: September 21, 2022
Subject: PhD Position, Optimization Methods for DL, WIAS, Germany


WIAS invites in the Research Group "Nonsmooth Variational Problems and
Operator Equations" (Head: Prof. Dr. M. Hintermuller) applications for
a PhD student position (f/m/d) on optimization methods for deep
learning (Ref. 22/34) to be filled at the earliest possible date. The
position is associated to the MATH+ Cluster of Excellence project
EF1-15 "Robust Multilevel Training of Artificial Neural Networks". The
project aims to develop novel methods for training nonsmooth
artificial neural networks with emphasis on their theoretical
analysis, algorithmic implementation and related applications
(e.g. deep learning-based numerical solution of PDEs and their optimal
control). We are looking for: a motivated and enthusiastic candidate
with an above-average master's degree in mathematics and a solid
background in mathematical optimization, numerical analysis,
scientific computing, functional analysis and partial differential
equations. Strong programming skills are highly desired. Technical
queries should be directed to Prof. Dr. Michael Hintermuller
(Michael.Hintermueller@wias-berlin.de).

The position is limited to three years. The reduced work schedule is
29,25 hours per week, and the salary is according to the German TVoD
Bund scale. The Institute aims to increase the proportion of women in
this field, so applications from women are particularly welcome. Among
equally qualified applicants, disabled candidates will be given
preference. Please upload your complete application documents
(motivation letter, detailed CV, certificates, list of MSc courses and
grades, copy of the master thesis, reference letters, etc.) via our
applicant portal using the button "Apply online". The advertisement
is open with immediate effect and will remain open until the position
will be filled. We are looking forward to your application!

See here for more information: https://short.sg/j/22798226



From: Alex Zhang alex.zhang@mdpi.com
Date: September 23, 2022
Subject: Call for papers, Axioms Special Issue on Mathematical Inequalities


The aim of the Special Issue, titled "Current Research on Mathematical
Inequalities" (https://www.mdpi.com/si/98395), is to collect important
research on all kinds of mathematical inequalities. Pure mathematical
inequalities, applied mathematical inequalities, and/or solid
conjectural inequalities are welcome.

The research topics include, but are not limited to, the following:
conjectural inequalities with numerical evidence, inequalities in
analysis (sophisticated or not, with special functions or not, applied
or not), inequalities in approximation theory, inequalities in
combinatorics, inequalities in economics, inequalities in geometry,
inequalities in mechanics, inequalities in number theory, inequalities
in optimization, inequalities in physics, inequalities in probability,
and inequalities in statistics.

For further information please send an email to Guest Editor
Dr. Christophe Chesneau (christophe.chesneau@gmail.com) or the
Journal's Managing Editor Mr. Alex Zhang (alex.zhang@mdpi.com). The
publication fee will be waived for well-prepared submissions.

2021 Impact Factor of Axioms: 1.824


From: Lothar Reichel reichel@math.kent.edu
Date: September 24, 2022
Subject: Contents, ETNA Special Volume, Scientific Machine Learning


Special Volume on Scientific Machine Learning edited by Peter Benner,
Xiao-Chuan Cai, and Axel Klawonn.

Preface, page viii

V. Grimm, A. Heinlein, A. Klawonn, M. Lanser, and J. Weber, Estimating
the time-dependent contact rate of SIR and SEIR models in mathematical
epidemiology using physics-informed neural networks, pp. 1-27

P. Benner, P. Goyal, J. Heiland, and I. Pontes Duff, Operator
inference and physics-informed learning of low-dimensional models for
incompressible flows, pp. 28-51

M. W. Hess, A. Quaini, and G. Rozza, A comparison of reduced-order
modeling approaches using artificial neural networks for PDEs with
bifurcating solutions, pp. 52-65

S. Manish Reddy Mekarthy, M. Hashemitaheri, and H. Cherukuri, A
combined finite element and machine learning approach for the
prediction of specific cutting forces and maximum tool temperatures in
machining, pp. 66-85

N. Margenberg, C. Lessig, and T. Richter, Structure preservation for
the deep neural network multigrid solver, pp. 86-101

K. Cherifi, P. Goyal, and P. Benner, A non-intrusive method to
inferring linear port-Hamiltonian realizations using time-domain data,
pp. 102-116

M. Kurz and A. Beck, A machine learning framework for LES closure
terms, pp. 117-137

M. Pfeil and T. Slawig, Approximation of a marine ecosystem model by
artificial neural networks, pp. 138-156

L. Gu, W. Zhang, J. Liu, and X.-C. Cai, Decomposition and composition
of deep convolutional neural networks and training acceleration via
sub-network transfer learning, pp. 157-186

T. Shing Au Yeung, E. T. Chung, and S. See, A deep learning based
nonlinear upscaling method for transport equations, pp. 187-208

J. Sokolowski, V. Schulz, H.-P. Beise, and U. Schroeder, A hybrid
objective function for robustness of artificial neural
networks-estimation of parameters in a mechanical system, pp. 209-234

M. Eichinger, A. Heinlein, and A. Klawonn, Surrogate convolutional
neural network models for steady computational fluid dynamics
simulations, pp. 235-255


End of Digest