[External Email]

Subject: NA Digest, V. 20, # 48

NA Digest  Sunday, December 20, 2020  Volume 20 : Issue 48

Today's Editor:

        Daniel M. Dunlavy
        Sandia National Labs
        [log in to unmask]

Today's Topics:

        Foundations of Computational Mathematics, Online, 2021
        Hyperbolic equations, Structure preserving methods, ONLINE, Jan-Mar 2021
        One Nonlocal World, Opening Event, ONLINE, Jan 2021
        Copper Mountain Multigrid Methods, ONLINE, Mar-Apr 2021
        AMiTANS'21, Bulgaria, Jun 2021
        Advances in Continuous Optimization, France, Jul 2021
        Applied Machine Learning Summer School, USA, Summer 2021
        Continuous Optimization, USA, Jul 2022
        Project Assistant Position, Univ of Graz
        Faculty Positions, Data Science, Purdue Univ
        Postdoc Fellowship Position, Applied Math/Scientific Computing, BNL
        Postdoc Position, Computational Biology, Ryerson Univ, Toronto
        Postdoc Position, Numerical Analysis and Simulation, HKU
        PhD/Postdoc Positions, High Performance Computing, Germany
        PhD/Postdoc Positions, Simulation Technology, UniBw Munich
        PhD Position, Machine Learning for Renewable Energies
        MSc/PhD Position, Applied Mathematics
        Special Issue, Machine Learning and Mathematical Modeling
        Contents, Evolution Equations and Control Theory, 10

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Submissions for NA Digest:
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From: Ben Adcock [log in to unmask]
Date: December 17, 2020
Subject: Foundations of Computational Mathematics, Online, 2021

The Foundations of Computational Mathematics (FoCM) society is happy
to announce its 2021 online seminar.  The seminar will consist each
month of two lectures given by plenary speakers of the FoCM 2020
conference, originally planned in Vancouver, Canada for June 2020 and
cancelled due to the covid crisis. http://focm-society.org/2020/ Each
of the seven sessions will take place on the last Friday of the month
at 11am- 1pm Eastern Standard Time, that is, 8am-10am Pacific Standard
Time, 5pm-7pm Central European Time.  It will be held on Zoom,
broadcasted, and the videos of the lectures will be available online
afterwards.  The detailed program with titles and abstracts will be
available on the FoCM society website http://focm-society.org.
Registration: the zoom link will be sent to the members of the FoCM
mailing list, one day before each session. If you want to register for
this mailing list, send an empty email to the address
[log in to unmask] with the subject line "registration".

Confirmed program :

January 29: Afonso Bandeira (Smale prize lecture), Caroline Uhler
February 26 : Dan Spielman, Kristin Lauter
March 26 : Alice Guionnet, Ed Saff
April 30 : Carola Bibiane-Schoenlieb, Bojan Mohar
May 28 : Phillipp Grohs, Sara van de Geer
June 25 : Rebecca Willet, Sebastian Reich
July 30 : Rekha Thomas, Danylo Radchenko (Popov prize lecture)

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From: Christian Klingenberg [log in to unmask]
Date: December 20, 2020
Subject: Hyperbolic equations, Structure preserving methods, ONLINE,
Jan-Mar 2021

Our online series of seminar lectures on structure preserving methods
for hyperbolic equations will continue im 2021. We have slightly
broadened the topic, see here
https://ifm.mathematik.uni-wuerzburg.de/~klingen/struct-pres-seminar.html

The speakers are: Bruno Despres (Paris, France) on Jan. 8, Shi Jin
(Shanghai, China) on Jan. 15, Sergey Gavrilyuk (Marseille, France) on
Jan. 22, Yulong Xing (Ohio State, USA) on Jan. 29. Cory Hauck (ORNL,
USA) on Feb. 5, Praveen Chandrashekar (Bangalore, India) on Feb. 12,
Francois Bouchut (France) on Feb. 19, Jean-Luc Guermond (Texas A&M,
USA) on Feb. 26, Jeff Haack (LANL, USA) on Mar. 12, Saray Busto
(Trento, Italy) on Mar. 19, Dinshaw Balsara (Notre Dame, USA) on Mar.
29.

All are welcome to join us via Zoom, please email Christian
Klingenberg at Wuerzburg University (Germany) at
[log in to unmask] to obtain the Zoom address.

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From: Marta D'Elia [log in to unmask]
Date: December 15, 2020
Subject: One Nonlocal World, Opening Event, ONLINE, Jan 2021

With the purpose of staying "nonlocally" connected during these
unusual times, we have decided to create "One Nonlocal World"
(https://sites.google.com/view/onenonlocalworld/), an on-line platform
with updates on new nonlocal trends and events.  The One Nonlocal
World project is an on-line platform where people working on nonlocal
problems or interested in learning more about this topic can regularly
check for updates on nonlocal modeling, analysis and computation. The
short-term goal is to keep researchers connected virtually by
workshops and schools during these unconventional COVID times. The
long-term goal is to build up new communication channels for a more
connected and inclusive research community on nonlocal models.  We are
planning to have an Opening Event on Fri Jan 22nd and Sat Jan 23rd,
2021.  (https://sites.google.com/view/onenonlocalworld/events) The
topics will range from fractional calculus to nonlocal calculus and
include the mathematical and numerical aspects of nonlocal modeling
and simulation.

Confirmed plenary speakers are
- Max Gunzburger, Florida State University (Jan 22nd)
- George Karniadakis, Brown University (Jan 22nd)
- Robert Lipton, Louisiana State University (Jan 23rd)
- Erdogan Madenci, University of Arizona (Jan 23rd)
- Stewart Silling, Sandia National Laboratories, NM (Jan 22nd)

Registration is free, but mandatory. You can fill in the form by
January 1st 2021 in the event page above.  We are also planning to
have a poster session and we encourage young researchers (students,
postdocs and young faculty members) to submit their titles through the
registration form. In case of acceptance, a confirmation email
together with instructions will be sent by January 5th.

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From: Robert Falgout [log in to unmask]
Date: December 16, 2020
Subject: Copper Mountain Multigrid Methods, ONLINE, Mar-Apr 2021

20th Copper Mountain Conference on Multigrid Methods
Monday March 29 - Friday April 2, 2021
Daily schedule: 15:00 - 19:00 UTC (8am - 12pm PDT, 11am - 3pm EDT,
17:00 - 21:00 CEST)

The Copper Mountain Conference on Multigrid Methods was founded in
1983 and is held every two years (odd years). It is widely regarded as
one of the premier international conferences on multigrid methods.
The 2021 meeting will be a virtual one with details to follow
soon. The main purpose of this initial announcement is to bring
attention to the student paper competition (a tradition at the meeting
with a cash award) and some important deadlines. For more information,
see our website at

    https://grandmaster.colorado.edu/copper/2021/

Updates will be provided on the web site and in follow-up
announcements in the coming weeks.  Don't forget to mark your
calendars!

Important Deadlines:
- Student Paper Competition (no extensions):
    - Abstract: Friday, January 15, 2021
    - Paper (reserved for students who submit an abstract): Friday,
      January 22, 2021
- Presentation Abstracts: Monday, February 22, 2021
- Registration fees and deadline: TBD
- Journal Special Issue: tentatively June 15, 2021

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From: Michail Todorov [log in to unmask]
Date: December 12, 2020
Subject: AMiTANS'21, Bulgaria, Jun 2021

The Euro-American Consortium for Promotion of the Application of
Mathematics in Technical and Natural Sciences is pleased to announce
its Thirteenth Conference AMiTaNS'21 to be held in the 5-star Flamingo
Grand hotel in Albena, which is one of the top level vacation resorts
in the Northern Bulgarian Black Sea coast.

The conference will be scheduled in plenary and keynote lectures
followed by special and contributed sessions. The accents of the
conference will be on Mathematical Physics, Solitons and Transport
Processes, Numerical Methods, Scientific Computing, Continuum
Mechanics, Applied Analysis, Applied Physics, Biomathematics, which
can be complemented by some specific topics in contributed special
sessions. You are welcomed to announce and organize special sessions
that should be within the general topic of the conference.

URL: http://2021.eac4amitans.eu/
email: [log in to unmask]

Contact person: Dr Michail Todorov

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From: Sonia Cafieri [log in to unmask]
Date: December 19, 2020
Subject: Advances in Continuous Optimization, France, Jul 2021

We are pleased to announce the 18th EUROPT Workshop on Advances in
Continuous Optimization (EUROPT 2021), to be held in Toulouse, France,
on July 7-9, 2021: https://europt2021.recherche.enac.fr/

The EUROPT Workshop on Advances in Continuous Optimization is the
annual event of the EUROPT continuous optimization working group of
EURO (The Association of European Operational Research
Societies). This 18th edition will take place a few days before the
EURO 2021 conference in Athens.

Authors are invited to submit contributions on all aspects of
continuous optimization. The scope of the workshop includes (but may
not be restricted to) the topics mentioned at
https://europt2021.recherche.enac.fr/ The online abstract submission
system is already open: http://www.euro-online.org/conf/europt2021/
Accepted abstracts for the 2020 workshop that could not take place are
still considered accepted for the 2021 workshop. The authors will be
shortly contacted by the organizers.  We are pleased to announce a
Special Issue of Optimization Methods and Software following EUROPT
2021.  We are looking forward to welcoming you in Toulouse, and hope
to welcome you in person. Nonetheless, we are monitoring closely the
situation related to the COVID19 and we consider the possibility of
hybrid in-person/remote formats as well. The workshop is expected to
take place in any case.

Important Dates
- Abstract Submission: March 1st, 2021
- Abstract Acceptance:  March 15, 2021
- Registration deadline: April 15, 2021

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From: Youzuo Lin [log in to unmask]
Date: December 14, 2020
Subject: Applied Machine Learning Summer School, USA, Summer 2021

We are excited to announce the 2021 Los Alamos National Laboratory
Applied Machine Learning Summer School. The theme topics for this year
include

Focus 1: Interpretability and Explainability in Machine Learning
Focus 2: Physics-informed Machine Learning
Focus 3: Uncertainty Quantification in Machine Learning
Focus 4: Machine Learning for Earth Sciences

We are currently accepting applications. Successful applicants will
receive a prestigious research fellowship, hands-on technical training
experiences, and professional development from internationally
reputable scientists.

For more information about our summer school, project, and mentor
information, please visit our summer school website at
http://aml.lanl.gov. Applications must be submitted by January 15th,
2021, for the first round of consideration. Late applications may also
be considered.

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From: Daniel P. Robinson [log in to unmask]
Date: December 16, 2020
Subject: Continuous Optimization, USA, Jul 2022

The Industrial and Systems Engineering (ISE) department at Lehigh
University would like to announce that the International Conference on
Continuous Optimization 2022 (ICCOPT 2022) will be hosted by Lehigh
University in Bethlehem, Pennsylvania in the USA on July 23-28, 2022.
A summer school will take place on July 23-24, with the main
conference taking place on July 25-28.  Please save the dates and
expect additional details to follow in the early months of next year.

The local organizing committee is excited to host and organize ICCOPT
2022, which is a flagship conference of the Mathematical Optimization
Society (MOS).  This will give us an opportunity to share our
beautiful campus and vibrant city of Bethlehem with everyone.

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From: Vanessa Peinhart [log in to unmask]
Date: December 17, 2020
Subject: Project Assistant Position, Univ of Graz

The Institute of Mathematics and Scientific Computing / University of
Graz, Austria is looking for a Project Assistant without doctorate (30
hours a week; fixed-term employment for the period of 3 years;
position to be filled as of now)

The University of Graz will carry out a research project on machine
learning approaches for data-driven cardiopulmonary resuscitation. The
project will be realized in close collaboration with the University
Hospital Graz. Its goal is to develop mathematical models and machine
learning strategies that allow for a better understanding of the
physiological conditions of patients during cardiopulmonary
resuscitation. This will be achieved using both, parameter
identification techniques for differential-equation-based
physiological models and machine learning approaches.

Interested? For further information please use this link:
https://jobs.uni-graz.at/en/MB/203-1/99/6536

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From: David Gleich [log in to unmask]
Date: December 18, 2020
Subject: Faculty Positions, Data Science, Purdue Univ

Purdue University has multiple faculty position openings for the broad
area of data science within the computer science, statistics, and
mathematics departments.

To learn more about these opportunities and apply:

 - https://www.cs.purdue.edu/hiring/faculty2020-datascience.html
 - https://careers.purdue.edu/job/Data-Science/698638500/
 - https://www.mathjobs.org/jobs/list/16902

This broad view of data science includes many topics relevant to NA-
digest readers:

Scientific machine learning, data-driven modeling, topological data
analysis, functional data analysis, applied probability, approximation
theory for the foundation of data science, machine learning,
simulation, inverse problems, computational methods for big data,
optimization, high performance computing for data science, topological
and geometric aspects of data analysis, software engineering for data
science

We suggest candidates apply to all of these positions that may be
relevant.


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From: Vanessa Lopez-Marrero [log in to unmask]
Date: December 18, 2020
Subject: Postdoc Fellowship Position, Applied Math/Scientific Computing, BNL

The Applied Mathematics Group of the Computational Science Initiative
(CSI) at Brookhaven National Laboratory (BNL) invites exceptional
candidates to apply for the Amalie Emmy Noether Fellowship in applied
mathematics and scientific computing.  This fellowship offers a unique
opportunity to conduct research in a broad set of fields, including
reduced order modeling, uncertainty quantification and scalable
computational statistics for Bayesian inference, optimization and
control for decision making under uncertainty, scientific machine
learning, high-dimensional inverse problems, multiscale modeling,
integrated computational modeling frameworks, data science for
streaming or "in-situ" (within simulation) analytics in high
performance computing (HPC), and numerical methods.  The methods and
fundamental advances made in the course of this research will further
the progress of applications of interest to BNL and the Department of
Energy (DOE).

This program provides full support for a period of two years at CSI.
Candidates must have received a doctorate (Ph.D.) in applied
mathematics or a related field (e.g., mathematics, physics,
engineering, statistics, operations research, or computer science)
within the past five years.  This fellowship presents a unique chance
to conduct interdisciplinary collaborative research in BNL programs
with a strongly competitive salary.  Recipients will be allowed to
select a direct mentor from a list of CSI staff scientists. This
mentor will help the recipient define and pursue their own research
agenda during their appointment.

For a full description of the position and to apply, please visit
https://jobs.bnl.gov/job/upton/post-doc-applied-math-scientific-
computing/3437/3147419072

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From: Silvana Ilie [log in to unmask]
Date: December 15, 2020
Subject: Postdoc Position, Computational Biology, Ryerson Univ, Toronto

A postdoctoral position is available in Computational Biology in the
Department of Mathematics, Ryerson University
(http://www.math.ryerson.ca). The research will be led jointly by
Dr. Silvana Ilie and Dr. Katrin Rohlf. This position provides an
opportunity to engage in research in Applied Mathematics, with a
limited amount of teaching. The salary is competitive, with funding
provided for one year.

We are seeking qualified and motivated applicants in Applied
Mathematics, to work on interdisciplinary projects aimed at developing
stochastic modelling and simulation tools for studying biological
systems. The ideal candidate would have a strong background in Applied
Mathematics (Numerical Analysis and Probability) and/or Computer
Science.  Strong programming skills in Matlab are mandatory. In
addition, experience with dynamical systems (ODEs and PDEs) is
expected. Knowledge of biological/chemical reaction modelling,
stochastic simulation (temporal and spatio-temporal) and machine
learning would be considered an asset.

The fellowship is open to candidates of any nationality and selection
will be based upon the candidate's research potential and teaching
ability.  Ideally the job will begin on July 1, 2021, however there is
some flexibility in the starting date.

The screening process will start on February 10, 2021, and continue
until the position is filled.  Please note the position is advertised
pending budgetary approval. Applicants should submit a curriculum
vitae and three letters of recommendation. At least one of these
letters should report on the candidate's teaching
abilities. Application material and reference letters should be sent
directly by e-mail to [log in to unmask]


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From: guanglian li [log in to unmask]
Date: December 12, 2020
Subject: Postdoc Position, Numerical Analysis and Simulation, HKU

We are seeking one postdoc researcher in the field of numerical
analysis and simulation, especially multiscale analysis and
simulation, and high- dimensional approximation. For more information,
please follow the link:
https://sites.google.com/site/lotusli0707/open-positions-new?authuser=0
Feel free to contract Dr. Li ([log in to unmask]) if you have any
questions.

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From: Philipp Neumann [log in to unmask]
Date: December 17, 2020
Subject: PhD/Postdoc Positions, High Performance Computing, Germany

Several positions at salary grade TVoD E13 (PhD/Postdoc) will be
available from 01.01.2021 for a maximum of four years at the chair for
high performance computing, Helmut-Schmidt-Universitat
Hamburg. Research directions are given across the wide range covered
by HPC for applications (multiscale flow simulations; machine
learning; exploration of novel/existing computational techniques for
novel HPC hardware; etc.). The official announcements are available on
the website of the Helmut-Schmidt-Universitat, reference numbers
MB-4020, MB-4120.

Please send your actual application with the usual documents to
[log in to unmask], mentioning the corresponding reference
number (MB-4020 or MB-4120). For inquiries on the positions, please
contact Philipp Neumann: [log in to unmask]

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From: Alexander Popp [log in to unmask]
Date: December 18, 2020
Subject: PhD/Postdoc Positions, Simulation Technology, UniBw Munich

To further strengthen our internationally oriented research team at
the Institute for Mathematics and Computer-Based Simulation
(Prof. Popp), we are looking for several research Assistants - PhD
Students / Postdocs (fully-funded positions according to German public
sector pay scale E 13/14) in the following research areas Machine
Learning / Data-Driven Modeling / UQ; Hybrid Digital Twin /
Reduced-Order Modeling; Solvers for Multiphysics Problems / HPC.
Within the scope of his or her work, each employee is expected to work
independently on future-oriented research topics, especially a project
funded by the newly founded Center for Digitization and Technology
Research (DTEC.Bw) in collaboration with the established university
research center RISK: Risk, Infrastructure, Security,
Conflict. Funding of the positions is secured until December 2024
(four years).  Your tasks: carrying out innovative research projects
including their presentation and documentation; scientific publishing,
contributions to new research funding proposals / grants; support of
academic teaching in German language (exercises, internships, teaching
materials); research-related administrative tasks, e.g. with regard to
HPC software development.  Your qualification: excellent degree in a
university engineering program or in applied mathematics, physics or
computer science; very good theoretical skills in the fundamentals
(mechanics, mathematics), in computational mechanics (FEM) and in
programming (C++).

Incoming applications will be screened immediately until the position
is filled. Therefore, please send your complete application documents
(one PDF file including letter of motivation, curriculum vitae, copies
of certificates) as soon as possible, but no later than January 15th,
2021, by e-mail to Prof. Dr.-Ing. Alexander Popp
([log in to unmask]).


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From: Denys Dutykh [log in to unmask]
Date: December 17, 2020
Subject: PhD Position, Machine Learning for Renewable Energies

A PhD position is open at the National Institute of Solar Energy
(INES/CEA/LITEN/LSPV) and the Laboratory of Mathematics (LAMA UMR
5127) University Savoie Mont Blanc. The position will be based at
Savoie Technolac campus near the picturesque lake Le Bourget,
France. The research will consist of developing and applying
state-of-the-art Dimension Reduction/Machine Learning methods for the
early diagnostic of photovoltaic panels of solar powerplants. The
research results will be published in scientific journals and
presented at conferences (NIPS, EuroVis and others). The applicant
must at a minimum hold a Master degree in Applied Mathematics or
related quantitative or engineering fields with a high emphasis on
computing, design and implementation of numerical algorithms. The
programming skills in Matlab or Python are required, along with some
inclination towards visually appealing data visualization. Some prior
knowledge of Machine Learning will be welcome, but not strictly
necessary.

The appointment will be made for three years (the standard duration of
a PhD thesis in France). The salary, working hours and holidays are
according to the CEA scale, including full social benefits. For full
consideration, please apply by March 31st, 2021. The starting date
will be in Fall 2021 or sooner.

Please, send your applications (CV, cover letter and a list of
references) to Dr Sylvain Lespinats ([log in to unmask]) and Dr
Denys Dutykh ([log in to unmask]).

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From: Jerome MONNIER [log in to unmask]
Date: December 18, 2020
Subject: MSc/PhD Position, Applied Mathematics

MSc internship in Applied Mathematics - Hybrid A.I.
@ Maths Institute of Toulouse in spring-summer 2021

A MSc internship entitled "Physically-informed machine learning for
reduced order PDE models. Application to geophysical fluid flows" is
available.  Duration: 6 months.  A PhD fund to continue this work at
the interface with geophysists may be available.  Supervisor:
Prof. J. Monnier.  Internship funding: 600 Euro net/month.
Transportation to Toulouse may be funded.

Keywords. Non-intrusive reduced order modeling, POD, SVD, Artificial
Neural Networks, PDE models, geophysical fluid mechanics.

Required skills. Numerical analysis - computational methods, PDE
models, Finite Element methods, Machine Learning (Artificial Neural
Networks), programming (Python).

Details available at the URL:
https://www.math.univ-toulouse.fr/~jmonnie

Interested in the internship ? Send CV+ motivation letter +
transcripts to [log in to unmask]

The call is opened until an applicant is hired.


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From: Ali Ahmadian [log in to unmask]
Date: December 11, 2020
Subject: Special Issue, Machine Learning and Mathematical Modeling

We are pleased to inform you that the following special issue is now
open to receive submission for possible publications.  The paper will
be published in Mathematical Methods in Applied Sciences, Wiley (
https://onlinelibrary.wiley.com/journal/10991476 I.F.  1.626). Below
you can find further information. Special Issue: Machine Learning and
Mathematical Modeling: New Perspectives. Website:
https://onlinelibrary.wiley.com/pb-assets/assets/10991476/0Special%20Issues0/Model-
based%20Machine%20Learning%20and%20Mathematical%20Modeling_-1598004025040.
pdf

Deadline for manuscript submissions: 28 February 2021

Specific topics of interest include (but are not limited to): Machine
learning hybrid approach for accurate mathematical modeling;
Artificial Neural Networks for Probabilistic models; Temporal models
with recurrent neural networks; Fractional-order gradient descent
approach to signal processing and machine learning; Deep neural
networks for unstructured problems with massive data; Fractional-order
steepest gradient descent; Evolutionary process of fractional
back-propagation neural networks; Combining physically-based modeling
and deep learning; Incorporating machine learning and multiscale
physical modeling; Artificial life simulations; Integrating of
economic models and ML algorithms to predict economic trends;
Identifying system dynamics by machine learning; K-mean clustering in
combination with epidemic diseases modeling to simulate the dynamical
behaviours.


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From: Irena Lasiecka [log in to unmask]
Date: December 12, 2020
Subject: Contents, Evolution Equations and Control Theory, 10

Evolution Equations and Control Theory, March 2021, vol 10.
https://www.aimsciences.org//journal/A0000-0000

1.Uniform attractors of 3D Navier-Stokes-Voigt equations with memory
and singularly oscillating external forces, Cung The Anh, Dang Thi
Phuong Thanh and Nguyen Duong Toan

2.Global existence for a class of Keller-Segel models with signal-
dependent motility and general logistic term, Wenbin Lv and Qingyuan
Wang

3.Infimal convolution and duality in convex optimal control problems
with second order evolution differential inclusions, Elimhan
N. Mahmudov

4.Boundary null-controllability of coupled parabolic systems with
Robin conditions, Kuntal Bhandari and Franck Boyer

5.On a final value problem for a class of nonlinear hyperbolic
equations with damping term, Nguyen Huu Can, Nguyen Huy Tuan, Donal
O'Regan and Vo Van Au

6.Uniform boundary observability with Legendre-Galerkin formulations
of the 1-D wave equation, Ludovick Gagnon and Jose M. Urquiza

7. Local wellposedness of quasilinear Maxwell equations with absorbing
boundary conditions, Roland Schnaubelt and Martin Spitz

8.Approximate controllability for Navier-Stokes equations in 3D
cylinders under Lions boundary conditions by an explicit saturating
set, Duy Phan

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