NA Digest, V. 22, # 17

NA Digest Monday, May 23, 2022 Volume 22 : Issue 17


Today's Editor:

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

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Submissions for NA Digest:

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


From: Ronald Boisvert boisvert@nist.gov
Date: May 17, 2022
Subject: 75th Anniversary of Math & Stats at NIST, ONLINE, Jun 2022


This year marks the 75th anniversary of the establishment of the first
mathematical and statistical organizations within the National
Institute of Standards and Technology. To commemorate this, NIST has
organized a three-day online symposium featuring historical
reflections, assessments of the impact of NIST work, presentations of
current work, and examples of areas of future growth. The event
should be of interest to NIST alumni and stakeholders, those
interested in the history of science, and colleagues at other
institutions engaged in research in applied mathematics and
statistics.

Dates: June 28-30, 2022
Time: 11 am - 5:30 pm Eastern time each day
Place: Online (connection information to be provided later)
Registration: Free, but required

For more information, see
https://www.nist.gov/news-events/events/2022/06/75th-anniversary-mathematics-and-statistics-nist


From: Martin Vohralik martin.vohralik@inria.fr
Date: May 19, 2022
Subject: CEA=96EDF=96Inria Certification of Errors, France, Jun 2022


In a tradition since 1961, the CEA-EDF-Inria summer school on
numerical analysis will be held June 27 - July 1, 2022, in
Paris-Saclay, France. This year, the subject is "Certification of
errors in numerical simulations". The summer school is intended for
researchers, engineers, and Ph.D. students. It will review the
state-of-the-art in a posteriori error estimation in lectures
complemented by computer tutorials under supervision of
assistants. Evening scientific seminars will introduce some recent
developments, and the last day will be devoted to industrial
employment.

All the details can be found at
https://ecoles-cea-edf-inria.fr/en/schools/ecole-analyse-numerique-2022/.


From: Falk Hante falk.hante@hu-berlin.de
Date: May 20, 2022
Subject: MSO for Energy Networks, ONLINE, Jun 2022


We are pleased to announce the 2022 summer school organized by the
Collaborative Research Center CRC 154 on "Modelling, Simulation and
Optimization using the Example of Gas Networks". The school takes
place as an online event on June 8th, 2022 and June 9th, 2022.

It is intended to introduce master students and young researchers to
this interesting research topic. Introductory talks for newcomers in
the field will be given, together with discussions on potential
research topics in modelling, simulation and optimization within the
CRC 154. A focus will be on energy networks. The school also aims to
offer a platform for discussions between the participants and the
speakers.

The school features - among other topics - introductory lectures to
optimal control, optimization under uncertainty, Nash equilibria, and
an industrial talk on current challenges in energy management.

For further details see: https://www.trr154.fau.de/summer-school-2022/

If you want to participate, please register free of charge until June,
6th, 2022, using the link above.


From: Francesca Bonadei francesca.bonadei@springer.com
Date: May 17, 2022
Subject: Springer Webinar Series/Optimal Transport, ONLINE, Jun 2022


Springer is glad to announce a new series of free webinars and
interviews handled by the UNITEXT Board members, who will rotate in
order to interview top experts in their field.

The starting point will be the topic faced in a textbook, and the
discussion will then expand and cover more general topics related to
the research and the personal history of the guest speaker. This
approach will benefit book series readers and invited participants,
who might use this environment as an opportunity to ask questions or
make suggestions in a direct exchange with speakers. Conversely,
viewers might appreciate having the published contents at hand to
delve deeper into the topics discussed.

In the first session, going live on June 9, Alfio Quarteroni will
interview Luigi Ambrosio. The speakers will dive into the subject of
Optimal Transport, and will discuss the most challenging open problems
and the future developments in the field.

Click here to subscribe to the event!
https://cassyni.com/s/springer-unitext

https://cassyni.com/events/TPQ2UgkCbJvvz5QbkcWXo3


From: Roland Maier roland.maier@uni-jena.de
Date: May 20, 2022
Subject: Uncertainty, Adaptivity and Machine Learning, Germany, Sep 2022


We are pleased to announce the Summer School "Uncertainty, Adaptivity,
and Machine learning" to be held at the Augsburg University, Germany,
September 12-14, 2022.

In this three-day event, Michael Feischl (TU Vienna), Elisabeth
Ullmann (TU Munich), and Robert Scheichl (U Heidelberg) will present
numerical methods for solving PDEs with a focus on optimal adaptive
discretization using machine learning, numerical methods for PDEs with
random inputs, and solving large-scale Bayesian inverse problems.

In addition to the thematic lectures, participants will have the
opportunity to (shortly) present their own research and to network at
a social event.

Registration is free. Note that travel reimbursement can be provided
for some participants. For more details and information regarding
registration, please visit:

https://www.uni-augsburg.de/de/fakultaet/mntf/math/prof/numa/veranstaltungen/uam-school/


From: Xu Zhang xzhang@okstate.edu
Date: May 23, 2022
Subject: SIAM Central States Meeting, USA, Oct 2022


Announcing the 2022 SIAM Central States Annual Meeting!
Dates: October 1-2, 2022
Location: Oklahoma State University, Stillwater, Oklahoma
Format: In-person meeting
Website: https://siamcss2022.okstate.edu

Important Dates:
- July 15, 2022: Mini-symposium proposal deadline for organizers
- July 31, 2022: Contributed talks and poster presentation deadline.
- August 31, 2022: Financial support application deadline
- August 31, 2022: Early bird conference registration deadline

Plenary Speakers (confirmed) are: Daniela Calvetti (Case Western
Reserve University); Long Chen (University of California, Irvine);
Anna Mazzucato (Pennsylvania State University)

We are currently soliciting submissions of Mini-symposium Proposals.
Mini-symposium Proposals can be submitted at the following website:
https://siamcss2022.okstate.edu/call-for-presentations

NOTE: Each mini-symposium proposal should consist of 1 to 2 organizers
and 4 to 8 speakers. Please make sure to obtain consent from your
speakers before listing them. You will also need a tentative title for
each speaker.

We also soliciting Contributed talks and poster presentations. Please
submit your presentations at the website:
https://siamcss2022.okstate.edu/call-for-presentations

Limited financial supports are available. We encourage graduate
students, postdoc researchers, junior faculty and under-represented
minority groups to apply by August 21, 2022.

If you have questions, please send an email to
siamcss2022@okstate.edu



From: Ulf Leser leser@informatik.hu-berlin.de
Date: May 18, 2022
Subject: Professorship Position, High Performance Computing, Germany


The Department of Computer Science at Humboldt-Universitat zu Berlin
is seeking an outstanding researcher to be appointed as a full-time,
tenured Full-Professor (W3) on "High Performance Computing". It is
planned that the appointed professor also serves as vice-president at
Zuse Institute Berlin (ZIB), heading the research unit "Parallel and
Distributed Computing" and the National High Performance Computing
Center at ZIB.

We are looking for a researcher with an excellent track record in
modern high performance computing (HPC). We are particularly
interested in applicants with demonstrated experience and expertise in
the development of innovative methods and algorithms on the software-
and hardware-level, especially at the intersection of simulation,
optimization, and machine learning. Preference will further be given
to applicants with comprehensive contributions to support HPC
applications, experience in the operation and evolution of an HPC
center and large-scale research projects, as well as strong leadership
skills.

At the ZIB, the incumbent is expected to serve as vice-president. This
includes the responsibility for the research unit on parallel and
distributed computing and for the National High Performance Computing
Center, comprising more than 50 staff members.

Further information about the position can be found at
https://hu.berlin/w3_hpc

For inquires, please also reach out to Ulf Leser at
leser@informatik.hu-berlin.de. Applications by female researchers are
particularly welcome.


From: Ke Chen k.chen@liverpool.ac.uk
Date: May 17, 2022
Subject: Lectureship Positions, Mathematics for Healthcare, Univ of Liverpool


We are seeking to further expand our strong team in the the area of
Mathematics for Healthcare through the appointment of two Permanent
Lecturers. The post is in the Department of Mathematical Sciences,
which is part of the School of Physical Sciences at the University of
Liverpool. You should have a PhD in Mathematics and have an excellent
track record in the area of Mathematics applied to Healthcare,
including publications in internationally recognised journals and the
ability to attract external research funding. You should have an
enthusiasm for teaching diverse cohorts, and be interested in
developing a research-connected curriculum. You will play a part in
the development of the department through extending existing research
networks within the University, and building new networks nationally
and internationally. The School of Physical Sciences is an Athena SWAN
Silver Award holder and is committed to encouraging, developing and
supporting women in their research and academic careers. We are
working to create an inclusive environment which values a diverse
workforce and we recognise that many individuals value flexibility in
their work/life balance. Therefore, this post may be taken up on a
Part-Time (a minimum of 0.5 FTE) or Full-Time basis (including a Job
Share). We strongly encourage applications from groups
underrepresented within our workforce, in particular women.

Deadline: 23:30 on Tue 7 June

The University reserves the right to close the vacancy early if it is
deemed that there have been enough applications received

Furher details from: http://tinyurl.com/4de4jxu2


From: Heike Sill Heike.sill@wias-berlin.de
Date: May 20, 2022
Subject: Research Assistant Position, Numerical Methods, WIAS, Germany


At WIAS the research group "Numerical Mathematics and Scientific
Computing" (Head: Prof. Dr. V. John) for the next possible date a
position as Research Assistant (m/f/d) (Reference number 22/22) to be
filled.

The applicant should perform active research on numerical methods with
anisotropic components, like the generation of anisotropic grids,
discretizations on anisotropic grids or solvers for the systems of
equations resulting from these discretizations. Corresponding
publications should be available. The goal consists in applying such
methods for the numerical solution of partial differential equations
from fluid dynamics, electro chemistry or semiconductor
electronics. Expected are the participation in the software
development of the group as well as the support of projects from
applications in collaboration with Partners from WIAS or outside. A
university diploma or master degree in mathematics or a closely
related discipline as well as a PhD degree are required. Please
direct your scientific queries to Prof. Dr. V. John
(Volker.John@wias-berlin.de).

The appointment is limited for three years. The work schedule is 39
hours per week, and the salary is according to the German TVoeD 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) via the applicant portal as soon as
possible but not later than June 30th, 2022 using the button "Apply
online". We are looking forward to your application!

See here for more information: https://short.sg/j/18492668


From: Timo Heister heister@clemson.edu
Date: May 23, 2022
Subject: Postdoc Position, Clemson Univ


We are accepting applications for a Postdoctoral position in the
School of Mathematical & Statistical Sciences at Clemson
University. While this is open for all areas, we especially encourage
candidates in computational mathematics. Completed applications
received before May 31, 2022 will receive full consideration.

Please see https://www.mathjobs.org/jobs/list/19686 for details.


From: Idoia Hernandez recruitment@bcamath.org
Date: May 20, 2022
Subject: Postdoc Position, Modelling Offshore Wind Energy Technologies, BCAM


Basque Center for Applied Mathematics is offering a Postdoctoral
position in Modelling the Remaining Useful Lifetime for Offshore Wind
Energy Technologies. This work is framed in IA4TES - Inteligencia
Artifical para la Transicion Energetica Sostenible project. This
offer, in particular, is to work in Computational Mathematics area at
Basque Center for Applied Mathematics - BCAM, where Machine Learning,
Data-Driven Computing, Numerical Simulation, Degradation Models,
Transfer Learning, Offshore Wind Energy topics will be worked.

Deadline: 13 June 2022
Applications at:
http://www.bcamath.org/en/research/job/ic2022-05-postdoctoral-fellow-on-modelling-the-remaining-useful-lifetime-for-offshore-wind-energy-technologies

Requirements: Applicants must have their PhD completed before the
contract starts. PhD in Mathematics and/or Civil, Mechanical,
Industrial, Offshore Engineering or similar areas

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.

The preferred candidate will have: Experience in reliability modelling
of the remaining useful life for components/subsystems/systems using
Bayesian approaches. Experience in degradation modelling. Experience
in machine learning techniques and in particular in Transfer Learning
problems. Experience in treatment of long time series. Experience in
simulation of long time series. Good programming skills in Python and
R. Interest and disposition to work in interdisciplinary groups.

The candidate would preferably be in possess of: Experience in the
sector of offshore wind energy, or offshore oil and gas, or structures
in offshore environment.


From: George Biros biros@oden.utexas.edu
Date: May 19, 2022
Subject: Postdoc Positions, Univ of Texas at Austin


The Center for Predictive Engineering and Computational Sciences in
the Oden Institute faor Computational Engineering and Sciences at the
University of Texas at Austin is searching for Postdoctoral Scholars
in several domains relevant to high fidelity simulation of inductively
coupled plasma torches. This research effort is supported in part by
funding from the Department of Energy's National Nuclear Security
Administration's Office of Advanced Simulation and Computing under the
Predictive Science Academic Alliance Program. It involves multi-scale,
multi-physics models and requires the use of advanced numerical
methods and supercomputing resources. Applicants with a strong
background in any of the following areas are sought: compressible
reacting flow, finite element and spectral methods, and HPC algorithms
and technologies. Applicants must have a Doctorate in Science,
Engineering, Computer Science, Computational Science, Applied
Mathematics, or a related technical field. Candidates with prior
software experience in large-scale parallel code development, MPI,
C++, multi-threading, and GPU programming are preferred.

For more information about the project and team, visit
http://pecos.oden.utexas.edu. To apply, please send a cover letter
describing your interests, a CV, and a list of three references to
pecos_recruit@oden.utexas.edu.


From: Prof.Dr. Stefan Sauter stas@math.uzh.ch
Date: May 19, 2022
Subject: PhD and Postdoc Position, NA, Univ of Zurich


The Computational Mathematics Group at the University of Zurich has
openings for a PhD position (3+1 years) and a PostDoc position (2+1/2
years) in the field of numerical analysis of wave propagation problem
and of non-conforming discretizations of flow problems.

Prerequisites: Master/diploma in Mathematics, very good knowledge in
numerical analysis and good knowledge in programming.

Starting salary PhD: CHF 58'800.
Starting salary Postdoc: CHF 72'638.

Conditions/Applications: The I-Math at the University of Zurich
provides an excellent environment and infrastructure for their PhD
students and PostDocs. The PhD students are members of the Zurich
Graduate School in Mathematics (ZGSM) which is jointly run with the
D-Math at the ETH Zurich. The new positions are part of the Numerical
Analysis/Computational Mathematics research group of Professor Stefan
Sauter.

The starting date of the position is August 1st, 2022 or later. Review
of applications will begin immediately, and the position will remain
open until filled. Applications should include electronic versions of
your transcripts and, if available, a certificate of the master
degree. In addition, 2 letters of recommendation are requested. The
application should be send to the head of the Numerical Analysis
Group, Professor Stefan Sauter (e-Mail: stas@math.uzh.ch).


From: Heike Sill Heike.sill@wias-berlin.de
Date: May 20, 2022
Subject: PhD Position, Optimization and ML, WIAS, Germany


WIAS invites applications for a PhD student position (f/m/d) in
Optimization and Machine Learning (Ref. 22/24) in Weierstrass Group
"Data-driven Optimization and Control" (Head: Dr. Jia-Jie Zhu)
starting as soon as possible. We are looking for candidates motivated
in researching principled optimization and machine learning. The
concrete methodological components of the Ph.D. project include -
Continuous optimization for machine learning, deep learning,
reinforcement learning; - Optimal transport and gradient flow for
machine learning and optimization; - Robust optimization; - Robustness
and generalization in learning with a focus on decision-making; -
Dynamical systems modeling and optimization; - Interfacing learning
theory and optimization. The Ph.D. student will closely work with
Dr. Jia-Jie Zhu ( https://jj-zhu.github.io/).

Qualification: We invite candidates with a master's degree in computer
science, statistics, or applied mathematics, with a special focus on
rigorous training in machine learning or optimization. Those
qualifications are demonstrated by high-quality technical reports or
publications in relevant venues such as
(NeurIPS/ICLR/AISTATS/ICML/AAAI/CoLT/ALT/JMLR/STOC etc.). Candidates
with strong applied or industrial experiences will also be considered.

What we offer: Close mentorship: the Ph.D. candidate will receive
responsible and careful mentorship. We emphasize fostering a healthy
mentor-student relationship. WIAS Berlin is a premier research
institution known for its strength in optimization, optimal control,
dynamical systems, and applied mathematics in general. It has hosted
the flagship conferences in mathematical optimization, such as ICCOPT
2019. A certified (Audit berufundfamilie) family-friendly work
environment.

Please direct queries to Dr. Jia-Jie Zhu (zhu@wias-berlin.de). To
apply, please send the following: 1-2 page cover letter (including a
very brief research statement); CV with links to your existing
projects and works; Master's thesis (or draft if not yet completed);
Transcripts for bachelor's and master's; contact information of 2-3
references from previous research projects who have agreed to be
contacted; apply via our online job-application facility using the
button "Apply online". The appointment is for 36 months. The reduced
work schedule is 29,25 hours per week, and the salary is according to
the German TVoeD scale.

See here for more information: https://short.sg/j/18496523


From: Bal=E1zs Kov=E1cs balazs.kovacs@mathematik.uni-regensburg.de
Date: May 20, 2022
Subject: PhD Positions, Nonlinear PDEs, Univ of Regensburg/Univ of Erlangen


The Research Training Group "Interfaces, Complex Structures, and
Singular Limits in Continuum Mechanics" (DFG-Graduiertenkolleg 2339)
announces the opening of 7 Doctorate positions (for 3 years) at the
Departments of Mathematics of Universitat Regensburg and of
Friedrich-Alexander-Universitat Erlangen-Nurnberg. The positions are
fully funded and are starting as soon as possible.

The Research Training Group focuses on the development of new
mathematical tools in modeling, analysis, and numerics with the
perspective to understand complex phenomena observed in fluid
mechanics, material sciences, biological systems, and other applied
sciences. Typically, modelling approaches will involve nonlinear
partial differential equations.

The doctoral programme offers a structured course programme in partial
differential equations, calculus of variations, numerical analysis,
scientific computing, mathematical modeling, and professional
skills. Doctoral researchers of the Research Training Group benefit
from numerous possibilities of scientific exchange both on the
national and on the international level.

The prospective applicant for a doctorate position should hold a
Diploma or Master degree in mathematics or in a closely related
field. Applicants are asked to submit a CV, copies of certificates of
academic qualifications held, a study track record, a copy of a degree
thesis, and a statement of the scientific interests.

Applications should be sent electronically to harald.garcke@ur.de or
guenther.gruen@fau.de.

Compatibility of family and work is promoted at both
universities. Female candidates are particularly encouraged to
apply. Equal opportunity is an essential element of our personnel
policy. Applications from handicapped or equated applicants are
welcome. For further information see: www.intcomsin.de and
https://intcomsin.de/Opportunities.html.

Applications are welcome at any time - preferable as soon as possible.


From: Irena Lasiecka lasiecka@memphis.edu
Date: May 17, 2022
Subject: Contents, Evolution Equations and Control Theory, 11 (3)


https://www.aimsciences.org//journal/A0000-0000

1. Pseudo S-asymptotically Bloch type periodic solutions to a damped
evolution equation, Siqi Chen, Yong-Kui Chang and Yanyan Wei

2.Initial boundary value problem for a strongly damped wave equation
with a general nonlinearity, Hui Yang and Yuzhu Han

3.Optimal control problems governed by two dimensional convective
Brinkman-Forchheimer equations, Manil T. Mohan

4.Exact controllability and stabilization for a general internal wave
system of Benjamin-Ono type, Jose R. Quintero and Alex M. Montes

5. On the stabilization for the high-order Kadomtsev-Petviashvili and
the Zakharov-Kuznetsov equations with localized damping, Roger P. de
Moura, Ailton C. Nascimento and Gleison N. Santos

6.Exponential stability for a multi-particle system with piecewise
interaction function and stochastic disturbance, Yipeng Chen, Yicheng
Liu and Xiao Wang

7. Local null controllability for a parabolic equation with local and
nonlocal nonlinearities in moving domains, Andre da Rocha Lopes and
Juan Limaco

8.The lifespan of solutions for a viscoelastic wave equation with a
strong damping and logarithmic nonlinearity, Menglan Liao

9.Functional inequalities involving nonlocal operators on complete
Riemannian manifolds and their applications to the fractional porous
medium equation, Nikolaos Roidos and Yuanzhen Shao

10. On a class of differential quasi-variational-hemivariational
inequalities in infinite-dimensional Banach spaces, Savin Treanca

11.On the Cauchy problem for a derivative nonlinear Schrodinger
equation with nonvanishing boundary conditions, Phan Van Tin

12. Persistence of superoscillations under the Schrodinger equation,
Elodie Pozzi and Brett D. Wick

13. Long-time behavior of a size-structured population model with
diffusion and delayed birth process, Dongxue Yan and Xianlong Fu

14. Neutral delay Hilfer fractional integrodifferential equations with
fractional brownian motion, Yousef Alnafisah and Hamdy M. Ahmed

15. Local stabilization of viscous Burgers equation with memory, Wasim
Akram and Debanjana Mitra

16. Solvability of doubly nonlinear parabolic equation with
p-laplacian, Shun Uchida

2020 Impact Factor: 1.081
5 Year Impact Factor: 1.269

End of Digest