NA Digest, V. 21, # 35

NA Digest Friday, September 17, 2021 Volume 21 : Issue 35


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: Daniel Kressner daniel.kressner@epfl.ch
Date: September 08, 2021
Subject: Assyr Abdulle (1971-2021)


It is with great sorrow that we announce that our colleague and friend
Assyr Abdulle passed away on September 1st, after courageously
fighting illness for many years.

Assyr was a world-renowned expert in the field of numerical methods
for stochastic differential equations and multiscale problems, where
he made numerous landmark contributions. He was an energetic,
enthusiastic, and passionate colleague, always open to new ideas and
engaged in promoting mathematics at EPFL. He played an essential role
in creating and shaping a unified Institute of Mathematics at
EPFL. Assyr was very much appreciated by students as a teacher and a
mentor.

We have set up a tribute page to commemorate Assyr at
https://link.inmemori.com/TvUauf

The MATHICSE group at EPFL


From: Michele Martone michelemartone@users.sourceforge.net
Date: September 17, 2021
Subject: Release 1.2.0.10 of librsb, Sparse BLAS Software Library


Version 1.2.0.10 of the "librsb" library for high performance sparse
matrix computations based on the "Recursive Sparse Blocks" (RSB)
format is out and available for download.

librsb is mainly for iterative methods implementors; it features cache
efficient, multithreaded sparse matrix-vector multiplication, and it
is especially fast in the symmetric and transposed variants. Many
options and further matrix operations are available.

Both Sparse BLAS and the own interfaces are supported (C/C++,
Fortran). You can also use librsb transparently in a Matlab-style
fashion via the GNU Octave `sparsersb` package and command, or in
Python via the `pyrsb.rsb_matrix` class inspired by `scipy.sparse`
classes.

This is a bugfixes release; see detailed changes in the NEWS file.
The source code of librsb is LGPLv3 licensed.

Website for librsb and sparsersb: http://librsb.sf.net/
Sources of PyRSB: https://github.com/michelemartone/pyrsb


From: Fathalla A Rihan frihan@uaeu.ac.ae
Date: September 10, 2021
Subject: New Book, Delay Differential Equations and Applications to Biology


Delay Differential Equations and Applications to Biology
Springer 2021, by Fathalla a. Rihan

This book https://link.springer.com/book/10.1007%2F978-981-16-0626-7#
about discusses the numerical treatment of delay differential
equations and their applications in bioscience. A wide range of delay
differential equations is discussed with integer and fractional-order
derivatives to demonstrate their richer mathematical framework
compared to differential equations without memory for the analysis of
dynamical systems. The book also provides interesting applications of
delay differential equations in infectious diseases, including
COVID-19. It will be valuable to mathematicians and specialists
associated with mathematical biology, mathematical modeling, life
sciences, immunology, and infectious diseases.


From: Kris ONeill oneill@siam.org
Date: September 07, 2021
Subject: New Book, Mathematics and Tools for Financial Engineering


Mathematics and Tools for Financial Engineering
by Petros A. Ioannou

This book presents an overview of fundamental concepts in mathematics
and how they are applied to basic financial engineering problems, with
the goal of teaching students to use mathematics and engineering tools
to understand and solve financial problems. Part I covers mathematical
preliminaries and Part II addresses financial topics ranging from low-
to high-risk investments. Based on lectures for a master's program in
financial engineering given by the author over 12 years at the
University of Southern California, it contains numerous examples and
problems, establishes a strong general mathematics background and
engineering modeling techniques in a pedagogical fashion, and covers
numerical techniques with applications to solving financial problems
using different software tools.

2021 / + pages / Softcover / ISBN: 978-1-611976-75-5 / List Price $79 /
SIAM Member Price $55.30 / OT176

SIAM Bookstore:
https://my.siam.org/Store/Product/viewproduct/?ProductId=39328665


From: Kris ONeill oneill@siam.org
Date: September 10, 2021
Subject: New Book, Matrix Analysis and Computations


Matrix Analysis and Computations
by Zhong-Zhi Bai and Jian-Yu Pan

This comprehensive book is presented in two parts; the first part
introduces the basics of matrix analysis necessary for matrix
computations, and the second part presents representative methods and
the corresponding theories in matrix computations. Among the key
features of the book are the extensive exercises at the end of each
chapter. The book provides readers with the matrix theory necessary
for matrix computations, especially for direct and iterative methods
for solving systems of linear equations. It includes systematic
methods and rigorous theory on matrix splitting iteration methods and
Krylov subspace iteration methods, as well as current results on
preconditioning and iterative methods for solving standard and
generalized saddle-point linear systems.

2021 / x + 486 pages / Softcover / 978-1-611976-62-5/ List $99.00 /
SIAM Member $69.30 / OT173

SIAM Bookstore:
https://my.siam.org/Store/Product/viewproduct/?ProductId=38341805


From: Pamela Bye pam.bye@ima.org.uk
Date: September 15, 2021
Subject: IMA Early Career Mathematicians, ONLINE, Oct 2021


Online Conference via Zoom
https://ima.org.uk/17190/online-event-ima-early-career-mathematicians-autumn-conference-2021/

The conference will interest mathematicians early in their career, in
academia and industry, students of mathematical sciences, as well as
those with an interest in the subject. It will feature plenary talks
from distinguished speakers covering a wide range of subjects, as well
as activities to allow for interaction among the attendees and
speakers. This is a perfect opportunity to learn about fascinating
areas of mathematics (and their applications) from people that work on
them, whilst also providing you the chance to become more involved
with a professional body of mathematics. There will be plenty of time
to network during the conference at our Virtual Coffee Breaks,
allowing you the opportunity to meet people with similar interests and
find out more about the wide range of careers that are available.

Invited Speakers: Eugenie Hunsicker - Starting interdisciplinary
collaborations; Shamia Sanjania; Rachael Addy; Karrie Liu; Claire
Cornock

The Early Career Mathematicians' (ECM) Branch is designed for those
with a maths degree who are within the first 15 years of graduating,
or, those without a degree who are within the first 15 years of
membership. The ECM group has been set up to engage and empower ECM,
and students of mathematics at university, to provide them with
support and an opportunity to network. Further information For
general conference queries please contact the Conferences Team
(conferences@ima.org.uk) Tel: +44 (0) 1702 354 020 Institute of
Mathematics and its Applications, Catherine Richards House, 16 Nelson
Street, Southend-on-Sea, Essex, SS1 1EF, UK.


From: Tzanio Kolev tzanio@llnl.gov
Date: September 08, 2021
Subject: MFEM Finite Element Community Workshop, ONLINE, Oct 2021


We are pleased to announce the inaugural MFEM Community Workshop which
will take place on October 20, 2021, as a one-day virtual meeting.

The workshop's goals are to foster collaboration among all users and
developers of the MFEM Modular Finite Element Methods library
(https://mfem.org), share the latest MFEM features with the broader
community, deepen application engagements, and solicit feedback to
guide future development directions for the project.

We would like to invite all who are interested in MFEM, as well as
anyone in the broader finite element community, to join this workshop.
If you are interested, please register by October 6th at
https://forms.gle/KE9XGyD8ZCwAv29H8 .

There is no registration fee. Videoconferencing details will be
distributed to participants prior to the event date.

We will also be hosting a simulation and visualization competition for
registered participants.

For more information, please see the workshop webpage at
https://mfem.org/workshop


From: Christoph Meier meier@lnm.mw.tum.de
Date: September 08, 2021
Subject: Metal Additive Manufacturing, ONLINE/Italy, Oct 2021


The CISM Advanced Course "Metal Additive Manufacturing: Fundamentals,
Modeling, Materials, and Implementation" will take place at the
International Centre for Mechanical Science (CISM) in Udine, Italy
from October 18 - 22.

The course will be offered in hybrid form, i.e., participation is
possible either in presence or online.

Registration is open at: http://www.cism.it/activities/courses/C2119.
The registration deadlines are September 18 for participation in
presence and October 11 for online participation.

The lecturers are looking forward to welcome you in Udine!
Bianca Maria Colosimo (Polytechnic University of Milan)
Jurgen Eckert (Montan Universitat Leoben)
Andrey Gusarov (Moscow State Technological University)
A. John Hart (Massachusetts Institute of Technology)
Neil Hodge (Lawrence Livermore National Laboratory)
Christoph Meier (Technical University of Munich)


From: Kris ONeill oneill@siam.org
Date: September 07, 2021
Subject: SIAM Virtual Career Fair, ONLINE, Nov 2021


SIAM Virtual Career Fair, Nov 9, 2021

SIAM Virtual Career Fair November 9, 2021, 11:00 a.m. - 2:00 p.m. and
3:00 p.m. - 5:00 p.m. (EDT)

SIAM is hosting a Virtual Career Fair on Tuesday, November 9, 2021.
We invite you to participate in this networking and recruitment event,
where you will have the opportunity to engage with hundreds of applied
mathematicians and computational and data scientists from leading
institutions and companies.

SIAM - the Society for Industrial and Applied Mathematics. SIAM is an
organization of more than 14,000 applied mathematicians and
computational and data scientists. We are students, researchers,
practitioners, and educators. We come together to advance the use and
application of our work in industry, engineering, science, and
society. SIAM members have the quantitative, mathematical, computing,
and analytical skills that are needed in today's marketplace. The
SIAM Career Fair is an ideal place to recruit employees with
mathematical, computational, and data science education and training,
and it is also an excellent opportunity to present your company's
mission and vision to a broad audience. Please view sponsor and
employer participant packages and register for a career fair
booth. Please contact me directly with any questions.

- Employer registration:
https://app.brazenconnect.com/a/siam/e/j37KD/exhibitors
- Jobseekers sign up: https://app.brazenconnect.com/a/siam/e/j37KD



From: Trevor Robinson t.robinson@qub.ac.uk
Date: September 10, 2021
Subject: SIAM International Meshing Roundtable, USA, Feb 2022


The SIAM International Meshing Roundtable Workshop will co-locate with
the SIAM Conference on Parallel Processing for Scientific Computing
(PP22), February 23 - 26, 2022 at the Hyatt Regency Seattle, Seattle,
Washington, U.S. The conference will run from the 23 - 25th, with
short courses running from the 25th - 26th February.

More details on the Workshop are available at:
https://internationalmeshingroundtable.com

The SIAM International Meshing Roundtable Workshop solicits technical
papers that present original results on meshing and related
technology. We encourage novel theoretical ideas and practical
algorithms that may have implications in science and engineering
applications requiring space discretization such as geometric
modeling, computer graphics, simulation, and visualization. Papers
must have original and substantial contribution to be accepted. All
papers will be rigorously peer-reviewed by reviewers and then selected
by the organizing committee. Papers are limited to 12 pages (US
letter size) in length, including figures, tables, references and
appendices. Authors of accepted papers will be required to attend and
present at the conference. The deadline for papers is October 1,
2022. The template and further details are available on the website.

Deadlines are all 11:59 pm Mountain Daylight Time (UTC-6 hours)
- Call for papers: July 2, 2021
- Full paper submission deadline: October 1, 2021
- Final paper notification of acceptance: January 28, 2022
- Final camera-ready files for papers due: February 4, 2022



From: Xiaoye Li xsli@lbl.gov
Date: September 06, 2021
Subject: SIAM Parallel Processing for Scientific Computing, USA, Feb 2022


The following text has been added to the Speaker Cancellation section
of the Submissions & Deadlines site:
https://www.siam.org/conferences/cm/submissions-and-deadlines/pp22-submissions-deadlines

While the expectation is that the COVID situation will be stable
enough for the conference to be held physically, there remains
uncertainty regarding international travel at the current moment. If
an author cannot physically attend the conference due to COVID
concerns, an alternative arrangement will be made possible.

SIAM will update the site as the situation evolves.

The Call for Participation is available at
https://www.siam.org/conferences/cm/conference/pp22

Submission Deadlines:
- September 14, 2021 (11:59 p.m. AoE): Minisymposium Proposal
Submissions, Contributed Lecture, Poster, and Minisymposium
Presentation Abstracts
- October 1, 2021 (11:59 p.m. AoE): Proceedings Papers


From: Albert S Berahas albertberahas@gmail.com
Date: September 07, 2021
Subject: CFP, Nonlinear Optimization @ IOS, USA, Mar 2022


Raghu Bollapragada and I are organizing the cluster of sessions on
Nonlinear Optimization at the 2022 INFORMS Optimization Society
Conference (March 13-15, 2022; Greenville, SC). We are reaching out to
see if you (or your students, collaborators, colleagues) are
interested in organizing a Nonlinear Optimization session(s) and/or
giving a talk.

Abstract submission deadline: December 31, 2021.

If you are interested in organizing a session, please send us an email
(aberahas@umich.edu or raghu.bollapragada@utexas.edu) with the session
title. Please also help share this information with your
students/collaborators/colleagues.



From: Sue Thorne sue.thorne@stfc.ac.uk
Date: September 13, 2021
Subject: Computational Scientist Positions, Extreme Scale Computing, UK


Due to the continuing success of the Hartree Centre at the Science and
Technology Facilities Council (part of UK Research and Innovation), we
are seeking Computational Scientists to work on ground breaking
projects in high performance computing, big analytics, numerical
linear algebra and optimization, and AI. The successful candidate will
be working with the latest architectures and technologies to meet the
needs of UK industry.

The Hartree Centre is mainly located at the Daresbury Laboratory
(Warrington, Cheshire) but there is also to scope to based with the
Hartree Centre Team based at the Rutherford Appleton Laboratory
(Didcot, Oxfordshire).

The deadline for submissions is 28th September 2021. Further details,
including how to apply, are available at
https://careersportal.co.uk/UKRI-careers/jobs/computational-scientist-in-extreme-scale-computing-901 .


From: Roman Hatzky roman.hatzky@ipp.mpg.de
Date: September 10, 2021
Subject: 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 21/060 at:
https://www.ipp.mpg.de/job-368a5fd2121864152b59096a048943ab


From: Roy Goodman goodman@njit.edu
Date: September 13, 2021
Subject: Faculty Position, Applied and Computational Math, NJIT


The Department of Mathematical Sciences (DMS) at the New Jersey
Institute of Technology seeks candidates to fill a tenure-track
position at the assistant/associate professor level. The position is
in all areas of applied and computational mathematics.

Candidates should have a Ph.D. in mathematics, applied mathematics, or
a related relevant discipline with strong research, funding, and
teaching potential for consideration at the assistant professor
level. Outstanding candidates with a strong track record of research,
funding, and teaching will be considered at the associate professor
level. At the university's discretion, the education and experience
prerequisites may be excepted where the candidate can demonstrate to
the satisfaction of the university an equivalent combination of
education and experience specifically preparing the candidate for
success in the position. The Department of Mathematical Sciences is
committed to increasing the number of women and minority faculty. NJIT
considers applicants for employment without regard to, and does not
discriminate on the basis of, gender, race, protected veteran status,
disability, or any other legally protected status.

DMS is widely recognized as having a leading national program in
applied mathematics and offers B.S., M.S., and Ph.D. degrees, with
Ph.D. program tracks in applied mathematics as well as in applied
probability and statistics. There are new B.S. and M.S. programs in
Data Science (statistics track). NJIT is located in the vibrant
University Heights neighborhood of Newark which lies within the New
York City metropolitan area. For more information about DMS faculty
and programs, visit https://math.njit.edu.

Please visit https://jobs.njit.edu to apply. Submit a cover letter,
resume/CV, research and teaching statements, teaching evaluations if
available, and names and contact information for at least four
references. Review of applications will begin immediately and will
continue until the position is filled.


From: Michael Bader bader@in.tum.de
Date: September 07, 2021
Subject: Professor Position, Computational Mathematics, TU Munich


The Technical University of Munich (TUM) is setting up a new
innovative Center for Informatics at the TUM Campus Heilbronn. A total
of 9 professorships in the fields of computer engineering, theoretical
and practical computer science, endowed by the Dieter Schwarz
Foundation, are to be established. The TUM herewith invites
applications for the position of Professor in "Computational
Mathematics" to begin as soon as possible. The position is a W2
fixed-term position (6 years) with tenure track option to a tenured W3
position (Associate Professor) or a tenured W3 (Associate or Full)
position.

For the full call for applications and details how to apply, please
refer to
https://portal.mytum.de/jobs/professuren/NewsArticle_20210819_133259


From: Daniel Kressner daniel.kressner@epfl.ch
Date: September 15, 2021
Subject: Professor Position, Mathematics & Materials, EPFL


The School of Basic Sciences at EPFL seeks to appoint a Tenure Track
Assistant Professor or a Tenured Associate Professor jointly between
the Institute of Mathematics and the Institute of Materials. We have a
keen interest in outstanding candidates whose research is dedicated to
the development of mathematical theory underpinning the description of
materials.

Application deadline: November 15, 2021

EPFL is an equal opportunity employer and family friendly
university. It is committed to increasing the diversity of its
faculty. It strongly encourages women to apply.

See https://go.epfl.ch/mathmaterial for additional information.


From: Bryan Quaife bquaife@fsu.edu
Date: September 09, 2021
Subject: Assistant Professor Position, Scientific Computing, FSU


The Department of Scientific Computing at Florida State University
invites applications for two tenure-track Assistant Professors
beginning August 2022. The successful candidate is expected to develop
an interdisciplinary research group in data science, secure external
funding, participate and organize scientific initiatives and
consortia, and develop and teach new courses in data science and
scientific computing. The candidate will help support, develop, and
grow the new Interdisciplinary Data Science Master's Degree Program at
Florida State University.

Candidates must have a PhD from an accredited institution in the
fields of Computational Science, Computer Science, Data Science,
Engineering, Mathematics, Natural Sciences, Social Sciences,
Statistics, or related field with a demonstrated record of achievement
in teaching, academic research, and service.

The position advertisement and application instructions can be found
at https://jobs.fsu.edu, Job ID 49792. Applications will be accepted
until the position is filled, but screening of applicants will
commence on November 1, 2021.


From: Camille Carvalho ccarvalho3@ucmerced.edu
Date: September 15, 2021
Subject: Postdoc Position, Applied Mathematics, UC Merced


There are 2 post-doctoral positions open in the Department of Applied
Mathematics at the University of California, Merced.

This 3-year position requires the successful candidate to conduct
research and teach 1 course each semester during the academic year.

Preference will be given to candidates at the early stage of their
careers. We are seeking exceptionally qualified candidates with
expertise matching at least one of the SMaRT teams: Energy and the
Environment, or Scientific Computing and Data Science. Special
attention will be paid to applicants who can collaborate with
researchers in applied mathematics and other fields in natural
sciences, engineering and/or social sciences at UC Merced.

To apply, please visit: https://aprecruit.ucmerced.edu/JPF01192

Contact Professor Arnold Kim (adkim@ucmerced.edu) if you have any
questions.


From: Michael Parks mlparks@sandia.gov
Date: September 07, 2021
Subject: Postdoc Position, John von Neumann Fellowship, Sandia NL


Sandia National Laboratories invites outstanding candidates to apply
for the 2022 John von Neumann Postdoctoral Research Fellowship in
Computational Science. This prestigious fellowship is partially
supported by the Applied Mathematics Research Program in the
U.S. Department of Energy's Office of Advanced Scientific Computing
Research. The fellowship provides an exceptional opportunity for
innovative research in computational mathematics and scientific
computing on advanced computing architectures with application to a
broad range of science and engineering problems of national
importance. Applicants must have or will receive a Ph.D. in
applied/computational mathematics or a related area, such as computer
science, engineering, or statistics, conferred after January 1, 2018
and no later than August 2022. This appointment is for one year, with
a possible renewal for a second year, and includes a highly
competitive salary, moving expenses and a generous professional travel
allowance.

Complete applications received by November 24, 2021 will receive full
consideration.

For more information, including application instructions, please see
our web page at
https://www.sandia.gov/careers/career-possibilities/students-and-postdocs/fellowships/john-von-neumann-fellowship/.

Equal Opportunity Employer. M/F/D/V.


From: Melissa Manifold melissa@oden.utexas.edu
Date: September 15, 2021
Subject: Postdoc Position, Oden Institute, UT Austin


The Oden Institute believes postdoctoral researchers are vital to the
Institute's work. As a result, an endowment was donated as funding for
the Postdoctoral Fellowship Program. The generous fund allows the
Institute to attract outstanding computational scientists who have
recently completed doctoral studies in areas relevant to research
conducted at the Institute. Fellowship stipends are $65,000 per
year. In addition, fellows receive UT employee benefits and relocation
expenses up to $1,000. Under the terms of the endowment, preference
is given to applicants who are U.S. citizens, but qualified foreign
students will also be considered. Candidates must display a
significant ability to contribute to interdisciplinary research
efforts in the areas of computational engineering, scientific and
mathematical modeling, computational and applied mathematics, and
computational visualization. In general, fellowship recipients
collaborate in research under the supervision of one or more Oden
Institute faculty members for one year. The fellowship may be extended
for an additional year, depending on performance and availability of funds.

Application materials:
- Completed application:
https://www.oden.utexas.edu/static/research/postdoc-fellowship/ODEN_Postdoc_Fellowship_App.pdf
- Letter of interest addressed to the Director of the Oden Institute,
Karen Willcox
- Narrative of proposed work in interdisciplinary research in
computational science, engineering and applied mathematics,
including the name(s) of the Oden Institute core faculty member(s)
with whom you are interested in working. This statement should not
exceed two pages. (Candidates are encouraged to contact Oden
Institute core faculty members regarding research interests in their
area of expertise - browse a full list of core faculty.)
- Curriculum Vitae
- Three letters of recommendation

Please upload applications and PDF documents to this secure Box
folder: https://www.oden.utexas.edu/uploads/ . Recommendation letters
can be uploaded or sent by email to melissa@oden.utexas.edu, and must
be sent directly by the composer/signee.

Please see our website for more information:
https://www.oden.utexas.edu/research/programs-and-awards/odonnell-jr-postdoc-fellowship/


From: Kent-Andre Mardal kent-and@simula.no
Date: September 11, 2021
Subject: Postdoc Position, Scientific ML, Simula Research Laboratory


In the Department for Scientific Computing and Numerical Analysis at
Simula, we now have an opening for 1 postdoctoral fellow to join our
research project Scientific Machine Learning - SciML. The overall
ambition of the SciML project is to develop novel mathematics with
corresponding software tools towards reliable formulations of solution
strategies at the interface between scientific computing and data
science. This overall ambition will be addressed by the following
five specific objectives: to develop a theoretical framework for
robust deep neural networks (DNNs) based on multigrid (MG); to develop
advanced MG algorithms that adapt based on DNN during the solution
process; to analyze the compatibility between DNNs and numerical
methods for partial differential equations (PDEs); to develop open
source software of high quality for combining algorithms in for PDEs
and DNNs. to apply DNNs to uncover a so far not understood important
biological process in the brain related to Alzheimer's disease.

See also:
https://www.simula.no/about/job/postdoctoral-fellowship-available-scientific-computing-simula-research-laboratory-topic


From: Qi Tang qtang@lanl.gov
Date: September 12, 2021
Subject: Postdoc Position, Scientific Machine Learning, LANL


The Applied Mathematics and Plasma Physics Group in Theoretical
Division at Los Alamos National Lab is seeking a Postdoctoral Research
Associate in the area of scientific machine learning and its
application to plasma physics. The successful applicant will
investigate methods for data- driven dynamical forecasting that
promote long-time stability. These ML tools will be trained using
massive data sets that describe plasmas in fusion-relevant
conditions. As a complementary focus, the project will also
investigate the mathematical foundations and rigorous approximation
properties of proposed ML architectures. Applications will be drawn
from the DOE Fusion Energy Sciences research portfolio, with an
emphasis on magnetic and inertial confinement fusion modeling. This
will be a collaborative effort involving plasma physicists and applied
mathematicians at Los Alamos, Argonne National Labs, and partnering
universities. The appointment will be for two years, with a possible
third-year extension. For additional information on postdoc positions
at LANL, see https://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/index.php

To apply, please search for IRC89391 under https://lanl.jobs.

In addition to applying online, please send a cover letter and CV
(including the contact information of three references) to Qi Tang at
qtang@lanl.gov or Joshua Burby at jburby@lanl.gov. The review process
will begin immediately and continue until the position is filled. Note
that US citizenship is not a requirement.



From: Joakim Sundnes sundnes@simula.no
Date: September 09, 2021
Subject: Postdoc/PhD position, Computational Physiology, Simula


In the department for Computational Physiology at Simula research
Laboratory, we now have an opening for a postdoctoral fellow or PhD
candidate to join our research project "The Dynamic Heart -
Computational Tools for Studying Cardiac Growth and Remodeling
(DynaComp)". Simula is an independent and publicly owned research lab
located in Oslo, Norway. We focus on performing excellent research
within selected research areas in computing and information
technology, developing and supporting our researchers, students and
staff, and spinning out applicable results into profitable startups.

The candidate will join the research team of the Computational
Physiology department, consisting of several other PhD candidates,
postdoctoral fellows, and senior researchers, as well as national and
international collaborators. The position will be part of an ongoing
collaboration between Simula and the K.G. Jebsen Centre for Cardiac
Research at Oslo University Hospital, and the candidate will become an
integral part of the large and vibrant research environment within
scientific computing and computational physiology at Simula.

We are looking for a candidate either for a 3-year PhD candidate
position or a 2-year postdoctoral fellowship. Candidates should have a
solid background in scientific computing, biomedical engineering,
biomechanics, or related areas, and an interest in contributing to
computational physiology and cardiac research. Simula offers an
excellent and research focused environment, competitive salary, as
well as generous support for travel and opportunities to build an
international network. More information about the position, including
application links, can be found here:
https://www.simula.no/about/job/phd-candidate-and-postdoctoral-fellowships-available-computational-physiology-simula


From: Volker Schulz volker.schulz@uni-trier.de
Date: September 07, 2021
Subject: PhD Positions, Algorithmic Optimization, Trier Univ, Germany


The Research Training Group (RTG) "Algorithmic Optimization", funded
by the Deutsche Forschungsgemeinschaft (DFG), is accepting
applications for several doctoral research positions (TVL 13; 75%) at
Trier University for a period of 3 years with a start date of early
2022. The research topics are devoted to all mathematical aspects of
algorithmic optimization with an emphasis on applications, in
particular in large and big data as well as models from economics. The
doctoral research positions do not involve teaching duties. At the
time of hiring, the applicants must hold a MSc degree (or equivalent)
in mathematics or a strongly related field. They should be able to
communicate in English and document their interest in the scientific
goals of the research program of the Research Training Group.
Excellent programming skills are a plus. Applications should include:
letter of motivation (no longer than two pages), curriculum vitae, a
recent letter of reference (in English or German) to be sent directly
to the address given below, contact information of at least one
additional reference, copies of degrees earned (in German or English
translation), a mathematical writing sample (preferably the master
thesis), transcript of grades. Applications from researchers of all
nationalities are welcome. Trier University strives to increase the
share of women in research and strongly encourages women to
apply. Trier University is certified as a family-friendly
employer. Provided equal qualifications are demonstrated, applicants
with disabilities will be preferred.

Please compile all application materials into one pdf file and send it
via e-mail to:
Graduiertenkolleg ALOP
Mathematik - FB IV
Universitat Trier
54286 Trier, Germany

Email: alop@uni-trier.de
Subject: RTG ALOP


For full consideration, applications must be received no later than
Friday, October 29, 2021. However, late applications may be considered
until the positions are filled.


From: Anne Marie Faisst anne.marie.faisst@univie.ac.at
Date: September 13, 2021
Subject: PhD Positions, Univ of Vienna


The working language will be English, and we are committed to
diversity and inclusion.

Project "Talking charts": The project combines perspectives and
methods from Computer Science and Science & Technology Studies to
explore how charts related to climate change and COVID-19 are created
and understood both by researchers and public audiences. We welcome
candidates with a background in Computing (with a specialization in
Human Computer Interaction, Data Visualisation or Data Science) or in
Information Science, Science and Technology Studies, or related
areas. Read more about the project and the job description here:
- Project-specific PhD (3-years), https://tinyurl.com/35fpetkd
- Open topic PhD (4-years): https://tinyurl.com/yhbh66m9
Please get in touch via email with Laura Koesten
(laura.koesten@univie.ac.at) or Kathleen Gregory
(kathleen.gregory@dans.knaw.nl) if you have any questions about the
role descriptions or application process for the Talking Charts project.

Project "Interpretability and Explainability as Drivers to Democracy":
The project is about machine learning models that are used for making
decisions with significant societal impact in democratic societies. In
particular, the project's aim is to enable informed evaluation of
machine learning models and their usage by the electorate through
interpretability and explainability of the used models and
communication of these models and their roles in the decision making
process in suitable forms. The underlying decision making process is
considered to involve different stakeholders with different levels of
expertise and achieving the project's aims requires the development of
novel machine learning models, visualization approaches, and
guidelines. Project-specific PhD:
https://tschiatschek.net/opening.html

Please get in touch via email with Sebastian Tschiatschek
(sebastian.tschiatschek@univie.ac.at) if you have any questions about
the role descriptions or application process for the Interpretability
and Explainability project.

Our research groups are also filling the following related PhD positions:
- Toward explainable models for environmental geoscience: https://bit.ly/2UhPry2
- Toward explainability of deep-neural-network models
https://tinyurl.com/5ck4fned
- On reinforcement Learning or probabilistic models,
https://tinyurl.com/4ud9jewv

Please get in touch via email with Torsten Moller
(torsten.moeller@univie.ac.at) with questions about these roles.


From: Claude Brezinski claude.brezinski@univ-lille.fr
Date: September 14, 2021
Subject: Contents, Numerical Algorithms, 88 (2)


Table of Contents
Numerical Algorithms, Vol. 88, No. 2

Fast second-order time two-mesh mixed finite element method for a
nonlinear distributed-order sub-diffusion model, Cao Wen, Yang Liu,
Baoli Yin, Hong Li, Jinfeng Wang

A class of blending functions with smoothness, Yuanpeng Zhu

Centrality measures for node-weighted networks via line graphs and the
matrix exponential, Omar Cruz Cabrera, Mona Matar, Lothar Reichel

Projected explicit and implicit Taylor series methods for DAEs, Diana
Estevez Schwarz, Rene Lamour

The Gauss quadrature for general linear functionals, Lanczos
algorithm, and minimal partial realization, Stefano Pozza, Miroslav
Pranic

Filtered interpolation for solving Prandtl's integro-differential
equations, M. C. De Bonis, D. Occorsio, W. Themistoclakis

A numerical study on the N-periodic wave solutions of two coupled
bilinear equations, Xue-Xia Wang, Jian-Qing Sun, Ying-Nan Zhang

A new computational method based on fractional Lagrange functions to
solve multi-term fractional differential equations, Mehdi Delkhosh,
Kourosh Parand

Gradient and diagonal Hessian approximations using quadratic
interpolation models and aligned regular bases, Ian D. Coope, Rachael
Tappenden

Barycentric prolate interpolation and pseudospectral differentiation,
Yan Tian

Inertial projection-type methods for solving pseudomonotone
variational inequality problems in Hilbert space, Simeon Reich, Duong
Viet Thong, Prasit Cholamjiak, Luong Long

Fast computation of multinomial coefficients, Leonardo C. Araujo, Joao
P. H. Sansao, Adriano S. Vale-Cardoso

Convergence properties of the Broyden-like method for mixed
linear-nonlinear systems of equations, Florian Mannel

Relationship between time-instant number and precision of ZeaD
formulas with proofs, Min Yang, Yunong Zhang, Haifeng Hu

Numerical methods for mean-field stochastic differential equations
with jumps, Yabing Sun, Weidong Zhao

Off-diagonal symmetric nonnegative matrix factorization, Francois
Moutier, Arnaud Vandaele, Nicolas Gillis

The joint bidiagonalization process with partial reorthogonalization,
Zhongxiao Jia, Haibo Li

A new branch-and-cut algorithm for non-convex quadratic programming
via alternative direction method and semidefinite relaxation, Hezhi
Luo, Sikai Chen, Huixian Wu


End of Digest
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