Subject: NA Digest, V. 22, # 9

NA Digest  Sunday, March 06, 2022  Volume 22 : Issue 9

Today's Editor:

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

Today's Topics:

        Tensorlab+ Release
        47th Spring Lecture Series, USA/HYBRID, May 2022
        FRAME, Fractured Media, Italy, May 2022
        Computational Science and HPC, Spain, Jul 2022
        Summer School, Computational Mathematics, Poland, Jul 2022
        WAND2022, Austria, Jul 2022
        Applied and Numerical Linear Algebra, Germany, Aug 2022
        Bifurcations and Instabilities in Fluid Dynamics, The Netherlands, Aug 2022
        Conference Honoring Peter J. Olver, Canada, Aug 2022
        Challenges in NA and Scientific Computation, Portugal, Sep 2022
        High Performance Numerical Algorithms in PDEs, Poland, Sep 2022
        Model Reduction and Surrogate Modeling (MORE), Germany, Sep 2022
        Scientific Software Engineering Positions, Naval Nuclear Laboratory
        PhD/Postdoc Position, Computational Aeroacoustics, Univ of Bayreuth
        PhD/Postdoc in High Performance Machine Learning, Univ of Jena
        PhD Positions, Simulation Methods for Sustainable Material Dev
        New, Journal of Machine Learning

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/

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From: Lieven De Lathauwer mailto:[log in to unmask]
Date: March 01, 2022
Subject: Tensorlab+ Release

It is our pleasure to announce the release of Tensorlab+.  Tensorlab+
is a reproducible research repository for tensor computations, built
on top of Tensorlab. It can be downloaded from
https://www.tensorlabplus.net.  The first release of Tensorlab+
includes the algorithms, auxiliary functions, and data needed to
recreate the results of 150+ experiments that are discussed in 34 of
our research papers, allowing the reproduction of 180+ figures and
tables. Moreover, we have included 32 tutorials and demos showing how
the proposed algorithms can be used in your own applications.

The code is free to use for non-commercial research. We hope that you
will find it useful and welcome all suggestions and feedback.

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From: Tulin Kaman mailto:[log in to unmask]
Date: March 03, 2022
Subject: 47th Spring Lecture Series, USA/HYBRID, May 2022

The Department of Mathematical Sciences is hosting the 47th Annual
Spring Lecture Series (hybrid conference) between May 4-6, 2022 on the
main campus of University of Arkansas, in Fayetteville, Arkansas.

Yousef Saad, Distinguished Professor in the Department of Computer
Science and Engineering at the University of Minnesota, will deliver
five lectures on "Numerical Linear Algebra: from Scientific Computing
to Data Science Applications".

The conference includes
- Lectures by
    - Yousef Saad (University of Minnesota), Principal Speaker
    - Erin Claire Carson (Charles University, Czech Republic)
    - Jie Chen (IBM Research, USA)
    - Alice Cortinovis (EPFL, Switzerland)
    - Tim Davis (Texas A&M University, USA)
    - Misha Elena Kilmer (Tufts University, USA)
    - Agnieszka Miedlar (University of Kansas, USA)
    - James Nagy (Emory University, USA)
    - Sara Pollock (University of Florida, USA)
    - Stanimire Tomov (University of Tennessee, USA)
    - Qiang Ye (University of Kentucky, USA)                   
- Public Lecture by Sabine Van Huffel (KU Leuven, Belgium)
- Student and early career presentations
- Poster session
- Women in Mathematics Panel 

Further information and registration can be found at
https://fulbright.uark.edu/departments/math/research/spring-lecture-series

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From: Sandra Pieraccini mailto:[log in to unmask]
Date: March 03, 2022
Subject: FRAME, Fractured Media, Italy, May 2022

We are pleased to announce the first edition of the FRAME conference:
"FRAME 2020+2 - Fractured media: numerical methods for fluid flow and
mechanics" to be held on May 17-20, 2022 at Politecnico di Torino,
Italy (initially planned on 2020, postponed due to the pandemic).  The
conference is aimed at presenting and discussing cutting-edge issues
about modeling and development of numerical tools for porous fractured
media simulations.

Areas of interest include but are not limited to: Flow in fracture
networks; Influence of roughness inside the fractures; Flow in
fractured porous media; Up-scaling and homogenization; Coupled
thermal, hydraulic, and/or mechanical processes in fractured media;
Fault reactivation and fracture deformation; Fracture propagation;
Self- organization of fracture networks; Non-linearities (such as
geochemistry, dissolution inside the fractures etc&); Verification
benchmarks; Uncertainty quantification/risk measurements; Artificial
intelligence applied to fractured media, Graph-based methods, model
reduction.

List of invited speakers: Bernd Flemisch, Stuttgart Universitat; Luca
Formaggia, Politecnico di Milano; Jeffrey De'Haven Hyman, Los Alamos
National Laboratories; Romain Le Goc, Universite de Rennes 1; Roland
Masson, Universite de Nice Sophia Antipolis; Adriana Paluszny,
Imperial College.

Abstract submission for oral presentations is closing on March
13th. We hope that the state of the pandemic will allow most people to
attend in presence, but we will accommodate remote talks, to help
people attending. There is no conference fee, but registration is
compulsory; the registration form can be found on the conference web
page. People submitting an abstract are automatically registered.

Further information can be found at
https://areeweb.polito.it/disma-excellence/events_2022/Frame/index.html

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From: Elise DE DONCKER mailto:[log in to unmask]
Date: March 02, 2022
Subject: Computational Science and HPC, Spain, Jul 2022

This is an invitation for contributions for the Workshop on
Computational Science and HPC (CSHPC), to be held with ICCSA 2022,
July 4-7, 2022 in Malaga, Spain, http://www.iccsa.org

The CSHPC Workshop focuses on numerical and symbolic methods,
simulations, algorithms and tools (software and hardware) for
developing and running scientific computations. High Performance
Computing (HPC), scalability and numerical precision are important in
view of the computational requirements and data, which are generally
large. Related topics may involve system architectures supporting the
applications: massively parallel systems, GPUs, hybrid systems and
distributed (cluster, grid/cloud) environments. Apart from traditional
algorithms, problem solving tools further include techniques using
neural networks, machine learning and genetic algorithms. Applications
(not necessarily utilizing HPC) will be considered from areas
including computational physics, computational mathematics and
statistics, quantum physics, fluid dynamics, molecular dynamics,
materials science and nanotechnology.

Paper submission deadline: March 27, 2022
Organizers: Elise DE DONCKER, mailto:[log in to unmask]
Fukuko YUASA, mailto:[log in to unmask]
Hideo MATSUFURU, mailto:[log in to unmask]

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From: Karolina Kropielnicka mailto:[log in to unmask]
Date: March 01, 2022
Subject: Summer School, Computational Mathematics, Poland, Jul 2022

We are pleased to announce a summer school on computational
mathematics that will be held in GdaDsk, Poland on 3-9 July.

Short courses will be presented by
- Habib Ammari (ETH Zurich),
- Anders Hansen (University of Cambrige),
- Annika Lang (Chalmers and University of Gothenburg),
- Caroline Lasser (Norwegian Academy of Science and Letters & TUM),
- Lek-Heng Lim (The University of Chicago).

Subjects include
- Computational wave theory,
- Computational complexity and spectral theory,
- Stochastic PDEs and their approximation,
- Numerical methods for quantum dynamics,
- Tensors in computations.

More details can be found here:
https://mat.ug.edu.pl/~kmalina/SummerSchool2022.html

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From: Andreas Schröder mailto:[log in to unmask]
Date: March 04, 2022
Subject: WAND2022, Austria, Jul 2022

We are pleased to announce the WAND2022 - Workshop on Adaptive Methods
and Novel Discretization Techniques in Continuum Mechanics to be held
on 13 to 15 July 2022 at the University of Salzburg, Austria.

The aim of the workshop is to discuss recent developments in adaptive
methods and novel discretizations techniques in continuum mechanics.
The topics cover, for instance, error control and adaptivity, non
standard finite elements, isogeometric analysis, immersed boundary
methods, etc.  The presentations will range from problems in numerical
analysis to real world applications in mechanical engineering.

The deadline for the registration and the submission of abstracts is
31st May 2022. The fee for participating in the workshop is 100 euros.

Further information on the workshop programm, registration and how to
submit your abstact can be found at: http://wand2022.uni-salzburg.at/

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From: Patrick Kürschner mailto:[log in to unmask]
Date: March 03, 2022
Subject: Applied and Numerical Linear Algebra, Germany, Aug 2022

The 92nd Annual Meeting of the International Association of Applied
Mathematics and Mechanics (GAMM 2022) will take place on
August 15 - 19, 2022  in the city of Aachen, Germany
https://jahrestagung.gamm-ev.de/

We hereby invite you to participate in the Section "Applied and
numerical linear algebra (ANLA)" (Section S17) at GAMM 2022 in Aachen.
In section S17 both experts and young researchers in the field of
applied and numerical linear algebra (ANLA) can meet and present their
recent research results.

The deadline for the submission of abstracts is May 01, 2022.

In order to participate in the meeting and to submit abstracts you
need to register online here
https://jahrestagung.gamm-ev.de/annual-meeting-2022/registration-abstract-submission/
where you can select your abstract to be part of Section S17.

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From: Fred Wubs mailto:[log in to unmask]
Date: March 02, 2022
Subject: Bifurcations and Instabilities in Fluid Dynamics, The Netherlands, Aug 2022

The deadline for submission of abstracts for the 9th International
Symposium on Bifurcations and Instabilities in Fluid Dynamics
(BIFD22), August 16-19, 2022 is extended to March 13, 2022.

The aim of the conference is to bring together some of the best
scientific minds to discuss their research and address problems and
opportunities related to new developments in bifurcation analysis in
complex fluid flows. Moreover, the conference offers a platform for
talented young scientists to present their work and to build their
network in the field. The scope of the conference ranges from
industrial applications to academic model problems, and from
experimental, to computational and theoretical studies.

Plenary speakers are: Karin Jacobs (Saarland University), Andrew Hazel
(University of Manchester), and Henk Dijkstra (Utrecht
University). The rest of the conference will consist of parallel
sessions with research talks and a poster session.

More information can be found at the conference website:
http://www.bifd2022.org

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From: Francis Valiquette mailto:[log in to unmask]
Date: March 04, 2022
Subject: Conference Honoring Peter J. Olver, Canada, Aug 2022

During his prolific career, Peter J. Olver played an important role in
the development of symmetry group methods to differential equations,
geometry, and applied mathematics. The purpose of the conference
"Symmetry, Invariants, and their Applications: A Celebration of Peter
Olver's 70th Birthday" is to bring together leading experts, promising
younger researchers, and graduate students from around the world to
assess the rapid advances occurring in the field of symmetries and
invariants, and evaluate the most promising directions of future
developments. The topics to be addressed during the conference are as
follows: Symmetry of differential equations, difference equations, and
generalizations; Invariant theory, differential invariants, and
generalizations; Equivariant moving frames; Equivalence problems and
normal forms; Invariant geometric flows and integrable systems;
Applications to geometric numerical integration, computer vision, and
more.

For more information about the conference and to register, please
visit the conference website:
https://www.math.mun.ca/~movingframes2022/

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From: Rui Ralha mailto:[log in to unmask]
Date: March 03, 2022
Subject: Challenges in NA and Scientific Computation, Portugal, Sep 2022

Monday Sep. 5 - Tuesday Sep. 6

The Center of Mathematics of the University of Minho is pleased to
announce an international meeting that aims to bring face to face
researchers from different areas of numerical analysis and scientific
computing. The list of topics includes but is not limited to numerical
algorithms in optimization, differential and integral equations,
numerical linear algebra, nonlinear equations and approximation. The
scientific program of CNASC 2022 will include invited plenary
lectures, contributed talks and a poster session.

Abstract submission for a contributed talk or poster must be done not
later than April 30. For more information please visit
https://w3.math.uminho.pt/conferences/cnasc

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From: Piotr Krzyzanowski mailto:[log in to unmask]
Date: March 01, 2022
Subject: High Performance Numerical Algorithms in PDEs, Poland, Sep 2022

You are cordially invited to submit your contribution to the
4th Workshop on Applied High Performance Numerical Algorithms in PDEs
Gdansk, Poland, September 11-14, 2022.
http://www.mimuw.edu.pl/~przykry/ppam2022

Topics of interest include, but are not limited to: parallel
algorithms for PDEs and their implementation, preconditioning
techniques for linear systems, applications of HPC in modeling with
PDEs, domain decomposition methods, multilevel and multigrid methods,
multiscale methods, nonconforming discretizations, computational fluid
dynamics, PDE driven geometric modeling.

The workshop is a part of the 14th International Conference on
Parallel Processing and Applied Mathematics (PPAM 2022). A limited
number of contributed talks will be selected for this workshop, to be
published in the LNCS series.

Submission of papers: May 6, 2022
Notification of acceptance: June 17, 2022
Camera-ready papers: November 2, 2022

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From: Tobias Breiten mailto:[log in to unmask]
Date: March 04, 2022
Subject: Model Reduction and Surrogate Modeling (MORE), Germany, Sep 2022

The first "Model Reduction and Surrogate Modeling (MORE)" conference
will be held in Berlin, Germany, on 19-23 September 2022. The
conference merges activities of the two independent conference series
MoRePaS and MODRED. The goal is to foster an international exchange of
new concepts and ideas related to the fields of model reduction and
surrogate modeling.

Invited speakers: Virginie Ehrlacher (Paris), Laura Grigori (Paris),
Jan S. Hesthaven (Lausanne), Boris Kramer (San Diego), Andrea Manzoni
(Milano), Youssef Marzouk (Boston), Cecilia Pagliantini (Eindhoven),
Benjamin Unger (Stuttgart), Rachel Ward (Austin)

More details on the conference are available at:
https://more.sciencesconf.org

Deadlines:
Abstract/poster submission deadline: March 31, 2022
Notification of acceptance: May 15, 2022

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From: Ross Ingram mailto:[log in to unmask]
Date: March 03, 2022
Subject: Scientific Software Engineering Positions, Naval Nuclear Laboratory

U.S. Citizens Only: Naval Nuclear Laboratory's (NNL) is seeking
full-time scientific software developers with a passion for software
engineering. The newest team member will have the opportunity to work
on assignments that could include designing, implementing, testing,
verifying, deploying, and maintaining engineering software targeted
for medium to large-scale supercomputing systems.

Relevant Skills:
1) software engineering (e.g., unit testing, continuous integration,
   version control, debugging, profiling, compiler operation /
   optimization).
2) programming with both compiled (e.g., C, C++, Fortran) and
   interpreted (e.g., Python, Java) scientific computing languages.
3) parallel programming, running parallel jobs on supercomputing
   systems.
4) numerical analysis: e.g., partial differential equations, ordinary
   differential equations, nonlinear solvers, verification /
   validation / uncertainty quantification, optimization, machine
   learning, data analytics.
5) domain knowledge of nuclear reactor physics, fluid dynamics,
   thermodynamics, solid mechanics.

https://nnl.mua.hrdepartment.com/hr/ats/Posting/view/28530
https://nnl.mua.hrdepartment.com/hr/ats/Posting/view/28531
https://navalnuclearlab.energy.gov/


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From: Joern Sesterhenn mailto:[log in to unmask]
Date: March 02, 2022
Subject: PhD/Postdoc Position, Computational Aeroacoustics, Univ of Bayreuth

At the Chair of Applied Mechanics and Fluid Mechanics we have an open
fixed-term position (full-time (E 13 TV-L)) as a scientific assistant
in the field of computational aeroacoustics.

The position comes with a teaching obligation (in German after a
reasonable grace period) and is to be filled as soon as possible. The
possibility for doctorate or habilitation is offered.  The Chair of
Applied Mechanics and Fluid Mechanics is part of the Faculty of
Engineering Science. The scientific focus of the advertised position
is the data assimilation for nonlinear sources of sound in a
transsonic flow. An optimization problem for the determination of
sound sources in the time domain is to be solved. A CAA code for the
Navier-Stokes equations and their adjoints is available and shall be
used. Alternative approaches for solving the optimization problem, for
example proximal optimization techniques, might be considered.  The
position will preferably, but not necessarily, filled by a postdoc
with appropriate qualifications (see below).

Applicants should have a master's (or equivalent) degree or a relevant
Ph.D. dissertation with a focus on numerical analysis, numerical
aeroacoustics, optimization, nonlinear dynamics or related topics.

Please apply online with convincing application documents via E-mail
to the following email address: mailto:[log in to unmask]

The selection of applicants begins on March 21, 2022. The documents
will be deleted after the position has been filled in accordance with
data protection requirements.  The position is fixed-term in
accordance with applicable German and Bavarian law and serves to
support scientific qualification. This will also determine the
duration of the contract.  For further information on the scientific
content, please contact Prof. Sesterhenn
(mailto:[log in to unmask]) and vistit
https://www.tms.uni-bayreuth.de

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From: Alex Breuer mailto:[log in to unmask]
Date: March 03, 2022
Subject: PhD/Postdoc in High Performance Machine Learning, Univ of Jena

The group Scalable Data- and Compute-intensive Analyses
(https://scalable.uni-jena.de) at Friedrich Schiller University Jena
has an open position in High Performance Machine Learning.

We seek a highly motivated and skilled PhD/Postdoc with a strong
interest in contributing to state-of-the-art and emerging Machine
Learning backends.  The position requires experiences in low-level
programming and computer architectures.  Applications are possible
until March 18, 2022.

All details on the position (id 084/2022) are available from
https://www4.uni-jena.de/Universit t/Stellenmarkt/Wissenschaftliche+Besch ftigte/PhD_Postdoc+in+High+Performance+Machine+Learning+%28m_f_d%29.html

Questions on the position may be directed to Alex Breuer
(mailto:[log in to unmask]).

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From: Konrad Steiner mailto:[log in to unmask]
Date: March 01, 2022
Subject: PhD Positions, Simulation Methods for Sustainable Material Dev

The department Flow and Material Simulation at Fraunhofer ITWM offers
several PhD position (f/m/d). The central research content is combined
model- and data-based computer simulations based on multiscale or
multi- physics methods for process and material optimization in
electromobility, bioeconomy and personalized product design.

The PhD topics deal with the development and application of numerical
methods and their integration to multiscale models using
gradient-based optimization methods, AI-based data analysis methods
and/or database concepts.
- Highly efficient battery simulation models for the regional, use-
  dependent online prediction of energy requirements of e-vehicles
- Data-supported multi-scale modelling, simulation and optimisation of
  apparatus and processes in separation technology (filtration,
  separation, treatment)
- Asymptotic analysis and simulation-based design of additively
  manufactured material structures or technical textiles
- Deep Material Networks for multi-scale simulation of composites and
  metamaterials
- Consistent modelling and simulation of the production and
  application behaviour of foams as damping or insulation material

For more details and information about the specific research topics,
please see the full job posting:
https://jobs.fraunhofer.de/job/Kaiserslautern-PROMOTIONSSTELLEN-%C2%BB-EFFIZIENTE-SIMULATIONSMETHODEN-F%C3%9CR-EINE-NACHALTIGE-MATERIALENTWICKLUNG%C2%AB-67663/778550701/

For more information about the department Flow and Material Simulation
visit: https://www.itwm.fraunhofer.de/en/departments/sms.html


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From: Zhi-Qin John Xu (SJTU) mailto:[log in to unmask]
Date: March 03, 2022
Subject: New, Journal of Machine Learning

The editorial office announces the launching of a new journal: Journal
of Machine Learning https://www.global-sci.org/jml .  Although the
world is generally over-populated with journals, the field of machine
learning (ML) is one exception. In mathematics, there are almost no
recognized venues (other than conference proceedings) for publishing
work on ML. In AI for Science, ideally, one would like to publish the
work in leading scientific journals such as Physical Review
Letters. However, this is a difficult task at the stage of developing
methodologies. Although there are many conferences in ML-related
areas, publishing in journal form (without submission deadlines and
without serious page limitations) is still the preferred venue in many
disciplines, especially in mathematics and the sciences.

The objective for Journal of Machine Learning (JML) is to become a
leading journal in all areas related to ML, including algorithms and
theory for ML, as well as applications to science and AI. JML will
start as a quarterly publication. Considering the fact that ML is a
vast and fast- developing field, we will do our best to carry out a
thorough and responsive review process. To this end, we will have a
group of young and active managing editors who will handle the review
process, and a large, interdisciplinary group of experienced board
members who can offer quick opinions and suggest reviewers when
needed.  JML is published by Global Science Press and sponsored by the
Center for Machine Learning Research, Peking University & AI for
Science Institute, Beijing. All articles in JML are open-access and
there is no charge for the authors.  High quality papers on all
aspects of machine learning are welcome.

Editorial office, Journal of Machine Learning
March, 2022

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