Subject: NA Digest, V. 21, # 7

NA Digest  Sunday, February 21, 2021  Volume 21 : Issue 7

Today's Editor:

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

Today's Topics:

        Jaroslav (Jerry) Kautsky (1933-2021)
        Mathematical Modelling and Analysis, Lithuania, Jun 2021
        Computational Methods in Applied Mathematics, Austria, Aug 2022
        Postdoc Position, Computational Mathematics, Concordia Univ
        Postdoc Position, Numerical Analysis, Univ of South Carolina
        Postdoc Positions, Applied Math/NA, Gran Sasso Science Institute
        Postdoc Positions, Comp Methods of Optimization, UNICAMP/USP, Brazil
        Postdoc Positions, Eindhoven Univ of Technology (TU/e)
        Contents, Evolution Equations and Control Theory, 10 (2)

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: sylvan elhay [log in to unmask]
Date: February 16, 2021
Subject: Jaroslav (Jerry) Kautsky (1933-2021)

It with great sadness that I report the passing of Jaroslav (Jerry)
Kautsky on 10 February 2021 in Adelaide, South Australia. Jerry made
great contributions to numerical linear algebra, orthogonal
polynomials and problems associated with image registration and blur
invariants.

He will be greatly missed.

-------------------------------------------------------

From: Raimondas Ciegis [log in to unmask]
Date: February 17, 2021
Subject: Mathematical Modelling and Analysis, Lithuania, Jun 2021

25nd International Conference
Mathematical Modelling and Analysis (MMA2021)
June 1 -- 4  2021, Druskininkai, Lithuania

The Conference focuses on various aspects of mathematical modelling
and usage of numerical methods in solving modern problems of science
and engineering.  It aims, in particular, at fostering a cooperation
among practitioners and theoreticians in this field.

The Basic Topics: Analysis of numerical methods for solving problems
of mathematical physics; Application of numerical methods to
industrial and engineering problems; Inverse and Ill-Posed Problems;
Analysis and applications of ODE and PDE problems; Parallel algorithms
and parallel computing; Deep learning and applications Scientific
computation; Financial mathematics and mathematics in economics;
Applied linear algebra and number theory.

If due to COVID19 restrictions some participants can not attend the
conference in-person, we will consider alternatives such as online
sessions.

Abstracts and Proceedings
Registration and abstract submission: March 15, 2021.
Notification of acceptance: March 30, 2021.

Questions regarding MMA2021 should be addressed to e-mail:
[log in to unmask] .  Information about the conference MMA2021 can be
found also on the home page at http://vgtu.lt/mma2021/


-------------------------------------------------------

From: Michele Ruggeri [log in to unmask]
Date: February 19, 2021
Subject: Computational Methods in Applied Mathematics, Austria, Aug 2022

The 9th international conference on Computational Methods in Applied
Mathematics (CMAM 2022), initially planned in July 2020, will take
place from August 29 to September 2, 2022 at TU Wien.

Homepage: https://www.asc.tuwien.ac.at/cmam2022/

The conference is organized under the aegis of the deGruyter journal
Computational Methods in Applied Mathematics (CMAM) and will be
focused on various aspects of mathematical modeling and numerical
methods for problems arising in natural sciences and engineering. In
particular, it aims at fostering cooperation between researchers
working in the area of theoretical numerical analysis and applications
to modeling, simulation, and scientific computing.

-------------------------------------------------------

From: Simone Brugiapaglia [log in to unmask]
Date: February 19, 2021
Subject: Postdoc Position, Computational Mathematics, Concordia Univ

Compressive data-driven techniques in computational mathematics
Supervisor: Simone Brugiapaglia

This post-doctoral research program is aimed at developing and
analyzing innovative algorithms based on compressive sensing and deep
learning for solving challenging problems in computational
mathematics. Target problems include numerical methods for partial
differential equations and high-dimensional approximation techniques
in uncertainty quantification.

The program involves interdisciplinary collaborations with researchers
in the areas of computational mathematics, mathematics of data
science, computational biology and engineering, at Concordia and
internationally.

Value: The prestigious two-year Horizon Postdoctoral Fellowships are
valued at $50,000 per year plus benefits.

Timeline: The Postdoctoral appointment must start by March 1, 2022.

For more information:
https://www.mathjobs.org/jobs/fellowship/17240


-------------------------------------------------------

From: Hong Wang [log in to unmask]
Date: February 19, 2021
Subject: Postdoc Position, Numerical Analysis, Univ of South Carolina

A postdoctoral position is available immediately to work under the
supervision of Professor Hong Wang at Department of Mathematics,
University of South Carolina. The research will focus on numerical
approximation, analysis, computation, and application of fractional
partial differential equations, nonlocal problems, and their
physics-informed learning. We are looking for a candidate with strong
background in the numerical approximation and analysis of partial
differential equations.  Knowledge in statistical and deep learning is
desired. The duration of the project is for one year for now. A PhD in
applied or computational mathematics or related field is required.

Candidates should contact Professor Hong Wang ([log in to unmask])
directly with the following information: A cover letter describing
their research.  A detailed CV.  Two letters of recommendations.


-------------------------------------------------------

From: Nicola Guglielmi [log in to unmask]
Date: February 18, 2021
Subject: Postdoc Positions, Applied Math/NA, Gran Sasso Science Institute

The Gran Sasso Science Institute (GSSI) is opening 3 postdoctoral
fellowships for research activity in Applied Mathematics.  Applicants
must hold a PhD degree or an equivalent qualification.  The PhD title
should be earned before starting the appointment.

Two positions are open for one or more of the following profiles:
Numerical methods for Partial differential equations and Dynamical
systems, Numerical linear algebra, Mathematical models in Fluid
dynamics and Biology, models of collective behavior, dynamics on
networks. Stochastic differential equations, stochastic, methods in
statistical mechanics, hydrodynamic limits.  Computational methods in
seismology with experience in HPC.  Mathematical methods for quantum
computing, mathematics in quantum cryptography.  Annual gross salary:
36.000,00 Euro.  Duration of the appointment : 24 months.

One position funded through the GrowBot - Towards a new generation of
plant-inspired growing artefacts Project is open for the following
profile: Mathematical methods and numerics for models of plant biology
and their applications to bio-inspired robotics.  Models of plant
internal communications, control of plant root dynamics.  Annual gross
salary: 36.000,00 Euro.  Duration of the appointment : 18 months.

It is not possible to participate in the Mathematics selection process
for those who earned the PhD title prior to January 1, 2019.

The call as well as further informations are available at the address
https://www.gssi.it/albo-ufficiale-online-gssi

Submission should be done online.

-------------------------------------------------------

From: Sandra Augusta Santos [log in to unmask]
Date: February 17, 2021
Subject: Postdoc Positions, Comp Methods of Optimization, UNICAMP/USP, Brazil

POSTDOCTORAL FELLOWSHIP: Computational Methods in Optimization

Our Thematic Project announces two-year pos-doctoral fellowship
positions to work either at the Institute of Mathematics, Statistics
and Scientific Computing, IMECC (https://www.ime.unicamp.br/en) of The
University of Campinas, Unicamp (www.unicamp.br/index.php/english),
Campinas, SP, Brazil, or at the Institute of Mathematics ans
Statistics, IME (https://www.ime.usp.br/en) of the University of Sao
Paulo, USP (https://www5.usp.br/#english), Sao Paulo, SP, Brazil.  The
investigative themes include parameter estimation of real models;
research related with energy (generation, sustainable systems,
electricity markets); convex optimization and extensions to data
science; sequential optimality conditions, and methods for Nash
equilibrium.  The candidate must have a PhD in Applied Mathematics,
Computer Science, Engineering, or in a related field. The candidate
must have finished the PhD less than seven years before the beginning
of the PD fellowship. The candidate should demonstrate a solid
background in nonlinear optimization. Experience in programming is
highly desirable.  The candidate is expected to interact with other
members of the project including, masters and PhD students, and
professors of the team.  The post-doctoral fellowship includes a
monthly stipend of R$ 7.373,10 (about USD 1,400 - enough for the
comfortable maintenance of a single person in Campinas or Sao Paulo),
access to the health-care system of Unicamp, and research contingency
funds (15% of the annual value of the fellowship, each year). For more
details, check out FAPESP's webpage http://www.fapesp.br/en/5427.

To apply, the candidate must send the following documents by email
until March 30, 2021: Curriculum vitae with a list of publications,
and previous experience; Two recommendation letters, being one
preferably from a previous supervisor ((those can be sent directly to
[log in to unmask] by the recommenders); A motivation letter for the
application, indicating the desired university.

All documents must be sent to Prof. Sandra A. Santos at
[log in to unmask], using 'pos doc application' as the subject.

-------------------------------------------------------

From: Karen Veroy-Grepl [log in to unmask]
Date: February 17, 2021
Subject: Postdoc Positions, Eindhoven Univ of Technology (TU/e)

The Centre for Analysis, Scientific Computing and Applications (CASA)
at the Eindhoven University of Technology (TU/e) is inviting
applications for postdoctoral researcher positions within the project
"DIMENSION", an inter-disciplinary project funded by the ERC and by
TU/e.

We are a multi-disciplinary, international research team developing
data- driven computational methods to accelerate the simulation,
optimisation and inverse analysis of systems governed by parametrized
partial differential equations (PDEs).  This particular project deals
with the development of dimension reduction methods to accelerate the
assimilation of data into models and the optimal design of
experiments, particularly for multi-scale materials. Candidates must
therefore have a strong background and interest in working at the
interface of numerical analysis, data science, and computational
engineering. Prior experience in programming numerical methods is
expected. The initial appointment will be for one year with the
possibility of extension, depending on performance.

Applications should include a cover letter, curriculum vitae,
transcript(s) of records, lists of publications and presentations, the
contact information of at least two references, and a one-page
statement describing the applicant's current research work &
interests. Interested candidates should apply by sending all relevant
documents in a single PDF file.  Please send complete applications and
address any inquiries to Prof. Karen Veroy- Grepl at . Applications
submitted by 31 March 2021 will receive full consideration, but the
search will remain open until the position is filled.

-------------------------------------------------------

From: lasiecka [log in to unmask]
Date: February 20, 2021
Subject: Contents, Evolution Equations and Control Theory, 10 (2)

EECT-Vol 10, nr 2, CONTENTS
https://www.aimsciences.org/journal/A0000-0000/2021/10/2

1.Periodic solutions and multiharmonic expansions for the Westervelt
equation, Barbara Kaltenbacher

2.Decay rate of global solutions to three dimensional generalized MHD
system, Yanxia Niu, Yinxia Wang and Qingnian Zhang

3.Bounds for lifespan of solutions to strongly damped semilinear wave
equations with logarithmic sources and arbitrary initial energy, Ge Zu
and Bin Guo

4.On the approximate controllability of neutral integro-differential
inclusions of Sobolev-type with infinite delay, V. Vijayakumar,
R. Udhayakumar and K. Kavitha

5.Multiscale homogenization of integral convex functionals in Orlicz
Sobolev setting, Joel Fotso Tachago, Giuliano Gargiulo, Hubert Nnang
and Elvira Zappale

6. Stabilization of the transmission wave/plate equation with variable
coefficients on R^n, Bei Gong, Zhen-Hu Ning and Fengyan Yang

7. Internal feedback stabilization for parabolic systems coupled in
zero or first order terms, Elena-Alexandra Melnig

8.Homogenization of a stochastic viscous transport equation, Ioana
Ciotir, Nicolas Forcadel and Wilfredo Salazar

9. Stability and dynamics for a nonlinear one-dimensional full
compressible non-Newtonian fluids, Xin Liu, Yongjin Lu and Xin-Guang
Yang

10. Well-posedness of infinite-dimensional non-autonomous passive
boundary control systems, Birgit Jacob and Hafida Laasri

11.Approximation theorems for controllability problem governed by
fractional differential equation, Rajesh Dhayal, Muslim Malik, Syed
Abbas, Anil Kumar and Rathinasamy Sakthivel


-------------------------------------------------------
End of Digest
**************************