NA Digest, V. 22, # 19

NA Digest Monday, June 06, 2022 Volume 22 : Issue 19


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: Yair Censor and Henry Wolkowicz yair@math.haifa.ac.il
Date: May 31, 2022
Subject: Jonathan Barzilai


It is with great sadness that we announce the passing of
Prof. Jonathan Barzilai, in March 2022, after a battle with cancer.
Dr. Barzilai was born in Tel Aviv, Israel. He received his doctoral
degree in applied mathematics from the Israel Institute of Technology
(Technion) in Haifa, Israel. Along with Jonathan Borwein, he
developed the famous Barzilai- Borwein gradient method, widely
recognized as a very significant contribution to nonlinear
optimization. His passion for optimization research continued to his
very last days, and throughout that time he made significant
breakthroughs in algorithms with implications for such applications as
AI training. His other passion was the related areas of measurement
theory and decision theory and analysis. Dr. Barzilai published major
papers on measurement and decision theory and developed a methodology,
Preference Function Modelling (PFM), for measurement, evaluation, and
decision making by a single decision maker or a group, based on more
than twenty years of research into the mathematical foundations of the
Analytic Hierarchy Process, utility theory, decision theory,
measurement theory, and related fields. He challenged existing
theories in these domains and very recently completed a book entitled
Pure Economics (published posthumously) in which he points out the
major flaws in these disciplines and offers corrections. The link to
Jonathan's book is: https://scientificmetrics.com/pure-economics.html.

Dr. Barzilai held high ethical and intellectual standards, both for
himself and others. He challenged convention and was ready to be
unpopular in defense of his convictions. He was a teacher, guide, and
mentor with a great sense of humor, offering invaluable advice and
insights to those who were fortunate to know him. He leaves behind his
loving wife Rachel, son Dan (Limor) and grandson Erez, along with
members of his extended family.

The Dalhousie University memorial page for Jonathan is at:
https://www.dal.ca/faculty/engineering/industrial/faculty-staff/our-faculty1/past-member-biographies/jonathan-barzilai.html.

Yair Censor and Henry Wolkowicz.



From: Maya Neytcheva maya.neytcheva@it.uu.se
Date: June 05, 2022
Subject: Owe Axelsson


With a great sadness, we want to inform you that on June 2 2022 our
teacher, mentor and colleague Owe Axelsson passed away. He was known
for his pioneering work on preconditioning methods and overall
contributions in numerical methods and numerical linear algebra in
particular. He was the founder of the journal 'Numerical Linear
Algebra with Applications' and served as editor-in-chief for more than
20 years. Also, he was instrumental in bringing together scientists
from Eastern Europe to join the international scientific community
through visits, internships, postdoc fellowships and joint European
commission projects. He was strategic thinker, very good organizer,
hard worker but also kind, supportive and friendly with colleagues,
students and coworkers
(https://user.it.uu.se/~maya/OAxelsson_public_html/index.html). With
his life Owe left us an example of honesty, ethics, recognition,
kindness, help and care!

We are organizing a memorial web page at
https://www.remembr.com/owe.axelsson.mem, where those who remember him
can share their thoughts and memories.

Panayot Vassilevski
Maya Neytcheva



From: Dr. Pandian Vasant eic.ijeoe@gmail.com
Date: June 04, 2022
Subject: Intelligent Computing & Optimization, HYBRID, Oct 2022


CALL FOR PAPERS, SPECIAL SESSIONS, POSTERS & DEMOS
ICO 2022- Hybrid Conference
5th International Conference on Intelligent Computing & Optimization
2022
October 27-28, 2022
Conference website: https://www.icico.info/
Submission link: https://easychair.org/conferences/?conf=3Dico2022
Submission deadline: July 24, 2022
E-mail: icico2018@gmail.com

Innovative global optimization approaches have attracted many research
scientists, decision makers, managers, executives, engineers,
academicians, officers, policy makers and practicing researchers in
recent years as powerful intelligent computational techniques for
solving many complex real-world application problems. The
International Conference on Intelligent Computing and Optimization
(ICO 2022) highlights the latest research innovations and applications
of algorithms designed for optimization applications within the fields
of Science, Computer Science, Engineering, Information Technology,
Management, Finance, Business and Economics. Focusing on a variety of
methods and systems as well as practical examples, this conference is
a significant resource for post graduate-level students, decision
makers, and researchers in both public and private sectors who are
seeking research-based methods for modeling uncertain and
unpredictable real-world problems.

For more information about ICO 2022, please visit
https://www.icico.info/




From: Mario Ohlberger mario.ohlberger@uni-muenster.de
Date: June 05, 2022
Subject: MaRDI Scientific Computing, Germany, Oct 2022


2022 MaRDI Workshop on Scientific Computing
Dates: Oct. 26-28, 2022
Location: Munster, Germany
Format: In-person meeting
Website: https://workshop.mardi.ovh

With an ever growing body of scientific knowledge and an explosion of
data generated by computer-assisted and computer-based experiments,
the Findability, Accessibility, Interoperability and Reusability of
research data (FAIR principles,
https://www.go-fair.org/fair-principles ) became key factors for
further scientific progress. Specifically in Scientific Computing,
beyond the actual simulation data, the developed numerical algorithms,
their implementations, their procedural data, and their metadata
descriptions are central research data sets. Establishing FAIR
principles for these data is the aim of the task area 'Scientific
Computing' within the German Mathematical Research Data Initiative
MaRDI ( https://www.mardi4nfdi.de ), which is a consortium in the
Nationale Forschungsdateninfrastruktur NFDI ( https://www.nfdi.de ).

With this first "MaRDI Workshop on Scientific Computing", we want to
bring together researchers from the Scientific Computing community and
related disciplines who are interested in the FAIRness of their
research data. In additions to presentations on current MaRDI projects
and selected keynote talks, birds-of-a-feather sessions will leave
room for discussions and hands-on tutorials. Furthermore, we invite
participants to contribute talks related to the following topics:
Knowledge graphs and ontologies; Software Interfaces; Benchmarks;
Formal workflow descriptions; Software distribution and archival;
Reproduction of numerical experiments; Research data management.

The deadline for abstract submission is 2022-07-31.




From: Thomas Richter thomas.richter@ovgu.de
Date: May 31, 2022
Subject: Scientific Computing, Peru, October 2022


It is with great pleasure that we draw attention to the first Peruvian
Conference in Scientific Computing. This conference will be held in
the Andean city of Cusco from October 3 to 6, 2022.

http://www.pec3.org/cusco2022

The objective of this conference is to bring together Peruvian and
international researchers working in the area of Scientific Computing,
in particular in the fields Modeling, Simulation and Optimization with
Differential Equations. A focus will lie on topics that are of
particular interest for researchers in South America, such as
Subsurface Flows, Mathematical Epidemiology or Climate and
Environmental topics. The scientific part will be complemented by an
attractive social program.

Confirmed Plenary Speakers: Soledad Aronna (FGV Rio, Brazil); Roland
Becker (Univ. Pau, France); Erik Burman (UCL - London, UK); Omar
Ghattas (Univ. of Texas at Austin, USA); Roxana Lopez-Cruz (UNMSM,
ULIMA Lima, Peru); Insa Neuweiler (Univ. of Hannover, Germany).

31.07.2022: Deadline for registration and for the submission of
contributions

The conference will be held as part of the project "Peruvian
Competence Center of Scientific Computing" (http://www.pec3.org) and
is sponsored and funded by the German Academic Exchange Service and
the Federal Ministry for Economic Cooperation and Development of
Germany. The conference was already scheduled to take place in 2020,
but had to be postponed due to the COVID-19 pandemic.

The week before the conference, also in Cusco, we are holding a summer
school on scientific computing: http://www.pec3.org/school2022




From: Maria Gabriela Armentano garmenta@dm.uba.ar
Date: June 02, 2022
Subject: Boundary and Interior Layers, Argentina, Nov-Dec 2022


The BAIL conferences focus on all aspects of computational and
analytical methods for problems whose solution shows sharp layers, and
singular perturbation problems.

The Boundary and Interior Layers Conference, BAIL 2022, will be held
at Department of Mathematics of Facultad de Ciencias Exactas y
Naturales, Universidad de Buenos Aires, from November 28 to December
2, 2022.

See the website for more information.
http://mate.dm.uba.ar/~bail2022/index.html



From: Qifeng Liao liaoqf@shanghaitech.edu.cn
Date: June 02, 2022
Subject: Faculty Positions, Scientific Machine Learning, ShanghaiTech


The School of Information Science and Technology (SIST) at
ShanghaiTech University invites highly qualified candidates to fill
multiple tenure-track/tenured faculty positions in Scientific Machine
Learning. Successful candidates must have a Ph.D in Scientific
Computing, Applied Mathematics, Statistics, or a closely related
field, with a preference for those whose expertise is applied to
machine learning or data science.

For details and application please see:
https://sist.shanghaitech.edu.cn/2865/list.htm

For informal enquiries, please contact Dr Qifeng Liao at
liaoqf@shanghaitech.edu.cn



From: HKBU Computer Science wwwadm@comp.hkbu.edu.hk
Date: May 31, 2022
Subject: Professor Positions, Computer Science, Hong Kong Baptist Univ


The Department of Computer Science at Hong Kong Baptist University
offers BSc, MSc, MPhil, and PhD programmes, and is now seeking
outstanding applicants for the following faculty positions on
tenure-track.

Professor / Associate Professor / Assistant Professor (Computer
Science) (3 vacancies) (PR0395/21-22)

The appointees will perform high-impact research, teach and supervise
students at undergraduate and postgraduate levels, and contribute to
professional and institutional services. Collaboration with other
faculty members in research and teaching is also expected. They will
be encouraged to collaborate with colleagues within the Department to
contribute to two special thematic applications including (a) health
informatics and (b) security and privacy-aware computing, and to
pursue new strategic research initiatives under the
Department/Faculty/University. Applicants should possess a PhD degree
in Computer Science, Computer Engineering, Information Systems, or a
related field, and sufficiently demonstrate abilities to conduct high
quality research in areas including but not limited to: Internet of
things, Cyber-security, High- performance computing, Big data
analytics, Art technologies and Financial technologies. Applicants
should also show strong commitment to undergraduate and postgraduate
teaching in computer science and/or information systems, possess track
record of innovative research and high-impact publications, and be
able to bid for and pursue externally-funded research programmes.
Initial appointment will be offered on a fixed-term contract of three
years. Re-appointment thereafter will be subject to mutual agreement.
For enquiries, please contact Professor Jianliang Xu, Head of
Department (email: xujl@comp.hkbu.edu.hk). More information about the
Department can be found at https://www.comp.hkbu.edu.hk. Rank and
salary will be commensurate with qualifications and experience.

Application Procedure: Applicants are invited to submit their
applications at the HKBU e- Recruitment System (jobs.hkbu.edu.hk) with
samples of publications, preferably three best ones out of their most
recent publications/works. They should also request two referees to
send in confidential letters of reference, with PR number (stated
above) quoted on the letters, to the Human Resources Office (Email:
recruit@hkbu.edu.hk) direct. Those who are not invited for interview 4
months after the closing date may consider their applications
unsuccessful. All application materials including publication samples,
scholarly/creative works will be disposed of after completion of the
recruitment exercise. Details of the University s Personal
Information Collection Statement can be found at
http://hro.hkbu.edu.hk/pics. The University reserves the right not to
make an appointment for the posts advertised, and the appointment will
be made according to the terms and conditions applicable at the time
of offer. Closing date: Shortlisting will start immediately until the
position is filled.

URL: https://www.comp.hkbu.edu.hk/v1/?page=3Djob_vacancies&id=3D743



From: Crist=F3bal Bertoglio c.a.bertoglio@rug.nl
Date: June 05, 2022
Subject: Postdoc Position, Cardiovascular Inverse Problems, NL


We are looking for an excellent and highly motivated postdoc to join
our team on Cardiovascular Mathematics.

The research should focus on the development of computational methods
for the estimation of mechanical properties of fluid-solid models in
the heart from 'raw' magnetic resonance images involving, hence
involving no or little manual processing.

Please find here a more complete description of the position, the team
and the conditions offered:
https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=3D00347-02S0009A4P



From: Roman Hatzky roman.hatzky@ipp.mpg.de
Date: June 02, 2022
Subject: Postdoc 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 22/030 at:
https://recruitingapp-5518.de.umantis.com/VacanciesIntraxData/604/Description/2



From: Hartwig Anzt hartwig.anzt@kit.edu
Date: May 31, 2022
Subject: PhD/Postdoc Position, SW Development HPC for Climate Research, KIT


We have multiple open positions on the Ph.D./PostDoc level in the
field of high-performance computing for climate research, modern
software design, and the performance portability of complex,
widely-used software. Knowledge of modern C++ and performance
portable device programming is mandatory. Knowledge of Fortran
programming and sustainable software development (git, CI, CB, unit
tests, etc.) is a strong plus. These positions are part of a major
project to modernize the ICON climate research and numerical weather
prediction (NWP) code for scalable performance and code development
and targeting the next-generation supercomputers. In this project, you
will have the opportunity to collaborate with renowned experts to
contribute to climate research and simulations. You will be part of
an agile and diverse team with expertise in modern performance
portable and sustainable research software development. If you want to
contribute to leading climate research, you have skills in modern,
sustainable, portable, GPU-enabled software programming and design
applied to a complex widely-used code; we would like to see your
application. We welcome your application.



From: Katharina Kormann k.kormann@rub.de
Date: June 04, 2022
Subject: PhD Position, Structure-Preserving Methods, Ruhr-Univ Bochum


The department of Mathematics at Ruhr-University Bochum invites
applications for positions as doctoral researchers in numerical
analysis or scientific computing. The research project concerns the
development of efficient and reliable methods for solving
high-dimensional problems with applications to plasma physics or
quantum dynamics. Depending on the applicant's background and
interests possible topics range from the numerical analysis to
high-performance implementations for structure-preserving
discretizations of partial differential equations and for low-rank
tensor approximations.

Applications and questions can be addressed to Katharina Kormann
(k.kormann@rub.de).



From: Marcello Carioni marcello.carioni.math@gmail.com
Date: June 04, 2022
Subject: PhD Position, Theoretical Machine Learning, Univ of Twente


We are looking for a talented, research-oriented PhD candidate to join
the project "Regularized dynamics in optimization schemes for neural
networks-based models" at University of Twente. We offer a full-time
position for four years in an active and stimulating research
environment, bridging applied and pure mathematics. The PhD candidate
will work under the supervision of Dr. Marcello Carioni and will be
part of the group Mathematics of Imaging and Artificial Intelligence
(MIA) headed by Prof. Christoph Brune at the department of Applied
Mathematics.

For more information about the position and the application procedure,
you are welcome to visit
https://utwentecareers.nl/en/vacancies/615/phd-position-in-infinite-dimensional-optimization-for-theoretical-machine-learning/
and contact Dr. Marcello Carioni (m.c.carioni@utwente.nl)

Deadline: 10 July 2022.



From: Fred Vermolen Fred.Vermolen@uhasselt.be
Date: June 02, 2022
Subject: PhD Assistant Position, UHasselt, Belgium


We are hiring at the University of Hasselt (UHasselt) in Belgium. We
are looking for a Dutch speaking assistant who will help us with
teaching and research in Mathematics. Research direction is negotiable
according to the candidate's interests, but a strong preference is
within the area of partial differential equations or dynamical
systems. The teaching assignment is also negotiable with respect to
the candidate's interests. The six years contract aims at a PhD in
mathematics. More information can be found in
https://www.uhasselt.be/nl/over-uhasselt/werken-bij-uhasselt/vacatures/detail/2521-assistent-wiskunde

UHasselt offers a very pleasant working environment. The small size of
the university makes the ties Further, Hasselt is a nice small local
capital in the Flemish part of Belgium, with nice culinary facilities.


End of Digest