NA Digest, V. 21, # 36

NA Digest Sunday, September 26, 2021 Volume 21 : Issue 36

Today's Editor:

Daniel M. Dunlavy
Sandia National Labs

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives:

Submissions for NA Digest:

From: Uwe Naumann
Date: September 20, 2021
Subject: Andreas Griewank

It is our sad duty to inform you about the passing away of Andreas

On the morning of the 16th of September 2021, Andreas developed chest
pain and severe fatigue. Heading for emergency surgery he underwent
cardiac arrest and further measures could not bring him back.

We would have liked to have him with us longer, however believe a
quick exit out of still fairly good health and a fulfilled life to
look back on fits the Andreas we knew and loved.

Andrea Walther and Uwe Naumann

From: Ren=C3=A9 Fritze
Date: September 24, 2021
Subject: Software Release, pyMOR 2021.1.0

We are proud to announce the release of pyMOR 2021.1.0! This release
includes several new reductors for LTI systems. In particular, methods
for reducing and analyzing unstable systems have been added. ANNs can
now be used in order to directly approximate output
quantities. Furthermore, it is now possible to work with
time-dependent parameters in pyMOR.

Read the release notes for more details:

From: Valeria Simoncini
Date: September 20, 2021
Subject: E-NLA Seminars, ONLINE, Sep 2021

After a long break this summer, it is our pleasure to announce that
the E-NLA seminar will continue again starting this week. As before,
talks will be scheduled on a fortnightly basis on Wednesday at 4pm

The list of speakers until the end of this year is on our webpage: A link to the Zoom meeting
will be sent one day before the talk via this mailing list.

The first lecture is on September 22, 2021 and will be delivered by
Karl Meerbergen (KU Leuven) on

"Rational approximation and linearization of finite element models
with nonlinear frequency dependencies"

Hope to see you again during the new season!

From: Dante Kalise
Date: September 23, 2021
Subject: Learning, Computation, and Control, ONLINE, Sep 2021

This autumn we begin a new seminar series on Learning, Computation,
and Control (LC2) at Imperial Mathematics Department. This seminar
will feature talks at the intersection between machine learning,
computational mathematics, and control theory. During Autumn 2021, the
seminar will run every other week on Thursdays, 15:00-16:00 UK time,
via Zoom. The series begins next Thursday September 30th, with a talk
by J. Nathan Kutz (University of Washington) on "Data-driven model
discovery and physics-informed learning"

For more information about the LC2 seminar, please visit

There is no registration/subscription for this seminar, once you click
on the talk there will be a Livestream button that will take you
directly to the Zoom meeting.

We look forward to seeing you there!

From: Tibor Csendes
Date: September 17, 2021
Subject: SCAN 2020 Videos Available, ONLINE, Sep 2021

The International Symposium on Scientific Computing, Computer
Arithmetic, and Verified Numerical Computation (SCAN-2020) has been
held fully online between the 13th and 15th of September 2021. Now all
the conference materials (videos on the talks, slides in pdf and the
proceedings volume) are availeble on the home page of the conference:

From: Christian Klingenberg
Date: September 18, 2021
Subject: Hyperbolic equations, ONLINE, Sep-Dec 2021

Our online series of seminar lectures "Hyperbolic equations, structure
preserving methods and other topics" will continue Fridays at 3 pm
GMT+1, see here

The speakers will be:

Sept. 24: Remi Abgrall (Zurich Univ),
Oct. 1: tba,
Oct. 8: Stephane Brull (Bordeaux, France),
Oct. 15: Giovanni Russo (Catania, Italy),
Oct. 22: David Ketcheson (Saudi Arabia),
Oct 29: Lorenzo Pareschi (Ferrara, Italy),
Nov. 5: Francis Filbet (Toulouse, France),
Nov. 12: Dmitri Kuzmin (Dortmund, Germany),
Nov. 19: Walter Boscheri (Ferrara, Italy),
Nov. 26: Matteo Semplice (Como, Italy),
Dec. 3: Raphael Loubere (Bordeaux, France),
Dec. 10: Frank Martin (Karlsruhe, Germany)

All are welcome to join us via Zoom, please email Christian
Klingenberg at Wuerzburg University (Germany) to obtain the Zoom link.

From: Pamela Bye
Date: September 24, 2021
Subject: Numerical Linear Algebra and Optimization, UK, Jun-Jul 2022

7th IMA Conference on Numerical Linear Algebra and Optimization
29 June - 1 July 2022, University of Birmingham, UK

The IMA is pleased to announce the Seventh Biennial IMA Conference on
Numerical Linear Algebra and Optimization. The success of modern
codes for large-scale optimization is heavily dependent on the use of
effective tools of numerical linear algebra. On the other hand, many
problems in numerical linear algebra lead to linear, nonlinear or
semidefinite optimization problems. The purpose of the conference is
to bring together researchers from both communities and to find and
communicate points and topics of common interest. This Conference has
been organised in cooperation with the Society for Industrial and
Applied Mathematics (SIAM).

Conference topics include any subject that could be of interest to
both communities, such as: Direct and iterative methods for large
sparse linear systems; Eigenvalue computation and optimization;
Large-scale nonlinear and semidefinite programming; Effect of
round-off errors, stopping criteria, embedded iterative procedures;
Optimization issues for matrix polynomials; Fast matrix computations;
Compressed/sparse sensing; PDE-constrained optimization; Distributed
computing and optimization; Applications and real time optimization.

Invited Speakers to be confirmed shortly.

Registration is currently open at
Mini-symposia proposals: 31 January 2022
Notification of acceptance of mini-symposia: 14 February 2022
Abstract submission: 28 February 2022

From: Samy Wu Fung
Date: September 26, 2021
Subject: Department Head Position, Applied Mathematics and Statistics

The Department of Applied Mathematics and Statistics (AMS) at Colorado
School of Mines (Mines) invites applications for a tenured, full
professor to serve as Department Head. Applicants must hold a Ph.D. in
mathematics, statistics or a related field and possess an exemplary
record in research, teaching, and professional service. Critical for
this role are leadership skills that can inspire and motivate academic
faculty and staff, effective interpersonal communication, and an
ability to organize and manage many diverse tasks and
projects. Administrative experience and evidence of effective
management of personnel and budgets is also highly desirable.
Successful candidates will have demonstrated that they adhere to high
ethical standards, operate in a transparent and collegial way, and be
responsive to the needs of faculty, staff, and students within the
Department. Mines has an unconditional commitment to respecting and
increasing diversity among our students, faculty, and staff and thus a
successful candidate will also display this core value of our
university. Experience in teaching and working in an academic
environment is essential, however, experience working in and with
industry is also valued. The Department Head will be responsible for
leading an integrated faculty of mathematicians and statisticians to
increase the volume and impact of their research, for enhancing the
computational mathematics, statistics and data science graduate
programs through recruiting and retaining talented students, and for
promoting excellence in instruction in the Department degree programs
and service courses. The Department Head's leadership and new
directions should be aligned within the Mines strategic university
plan (Mines@150) and emphasize society's major challenges related to
earth, energy, environment, and sustainability. Successful candidates
will also share the Mines goals of creating a sustainable global
society by educating the next generation of scientists, engineers, and
leaders, and by expanding the frontiers of knowledge through research
and will evidence a passion for advancing the University's and
Department's commitment to diversity and inclusion.

Interested applicants should apply online as soon as possible. For
full consideration, applications should be received by November 1,
2021. Please apply at

For further information about the position or the Department vision,
please contact Prof. Paul Sava (search chair) at

From: Jeffrey S Ovall
Date: September 24, 2021
Subject: Faculty Positions, Computational Science, Portland State Univ

Portland State University (PSU) invites applications for three
tenure-track faculty positions in the Fariborz Maseeh Department of
Mathematics & Statistics, one at open rank, and two at the Assistant
Professor rank. These positions are part of a cluster hire in
Computational Science for a Sustainable Future. Of particular interest
are candidates whose expertise intersects strongly with one or more of
the following themes:

- Theory of data-driven decision making and its application to pressing
societal concerns on climate, environment, epidemiology, or health care;
- High performance computing focusing on scalability or energy
- Physical applied mathematics that combines physical principles with
mathematical techniques for building computational tools to address
modern sustainability challenges.

Application screening begins November 1st, 2021.

Please visit the departmental website
for further information about these positions and how to apply.

From: James Nagy
Date: September 23, 2021
Subject: Faculty and Postdoc Positions, Mathematics, Emory Univ

The Department of Mathematics at Emory University has embarked on an
ambitious recruitment plan, which includes open rank Tenure Track
Faculty positions (Assistant, Associate or Full Professor) in
Computational Mathematics and Discrete Mathematics, a Lecture Track
Faculty position (i.e., Assistant Teaching Professor), and Postdoc
Fellowship positions for an NSF funded Research Training Group in
Computational Mathematics for Data Science.

For further details on these positions, including desired
qualifications and required application materials, please see:

Applications can be submitted using one of the following links:
TTF Position in Computational Math:
TTF Position in Discrete Math:
LTF Position in Math:
RTG Postdoc Fellowship Position:

Screening of Applications will begin on November 5. Applications
received by December 6 will be given full consideration. Faculty
positions are expected to start on August 1, 2022. RTG Postdoc
positions can have a starting date of either January 1, 2022 or August
1, 2022.

Emory University is a top-ranked private institution recognized
internationally for its outstanding colleges, graduate and
professional schools, and one of the world's leading health care
systems. Emory scholars and experts generate more than $831 million in
research funding annually while also highly valuing excellence in
teaching. Emory is highly ranked among America's Best Employers for
Women and Best Employers for Diversity and fosters a culture of
inclusivity and cooperation. Emory University is an equal employment
opportunity and affirmative action employer. Women, minorities, people
with disabilities, and veterans are strongly encouraged to apply.

From: Ray Treinen
Date: September 20, 2021
Subject: Tenure Track Position, Mathematics, Texas State Univ

Tenure Track Assistant Professor

The Department of Mathematics at Texas State University is seeking to
hire a tenure-track assistant professor in mathematics, applied
mathematics, or statistics to commence employment in the fall semester
of 2022. The successful candidate will be expected to establish a
strong commitment to high-quality research. The candidate must be
dedicated to the teaching and mentoring of students at the graduate
and undergraduate levels. In addition, the candidate must be actively
engaged in service to the department, college, university and
mathematical community. The starting salary will be commensurate with
the candidate's qualifications. All positions are subject to
availability of funds.

Requirements: 1. An earned doctorate in mathematics, applied
mathematics, statistics, or a closely related field prior to
employment; 2. Evidence of excellence in research; 3. Evidence of,
potential for, teaching excellence; and 4. An ability to contribute to
the Mathematics Department mission.

Preferred: 1. Evidence of, or potential to obtain, external funding;
2. Evidence of, or potential for, mentoring student research at
various levels; 3. Experience in serving a diverse student population;
4. Demonstrated experience in conducting collaborative research;
5. Demonstrated potential to develop research collaborations with
departmental faculty; and 6. Evidence of computational expertise in
teaching or research.

More details can be found on the website:

From: Basque Center for Applied Mathematics
Date: September 21, 2021
Subject: Research Technician Position, Data Science, BCAM

New position in Data Analysis, Statistics (regression methods, time
series, multivariate analysis, clustering methods), Machine Learning
techniques (e.g.: neural networks, random forests, decision trees,
SVM's etc.) and Optimization (linear programming, multi-objective
optimization, large-scale optimization etc.).

Appy in:

From: Erik Burman
Date: September 22, 2021
Subject: Research Fellowship Position, Inverse problems for wave equations, UCL

Applications are invited for a full-time EPSRC funded Research Fellow
position at the Department of Mathetmatics, UCL. The successful
candidate will work with Professor Erik Burman on the project
"Computational methods for inverse problems subject to wave equations
in heterogeneous media".

Applicants are expected to have good understanding either of the
design and analysis of finite element methods or of the wave equations
and associated inverse problems. It is desirable that candidates have
interest and research experience with at least some of the following
subjects: theory of finite element methods, error analysis of
numerical methods, knowledge of stabilised finite element methods or
discontinuous Galerkin methods, stability analysis of ill-posed
problems, Carleman estimates. Experience of some computational finite
element package (fenics, freefem etc) and their application to the
numerical approximation of solutions to partial differential
equations, is also highly valued..

This post is available from 15 February 2022 or as soon as possible
thereafter. This post is funded for 3 years in the first instance.

Further information and details of how to apply can be found at

The closing date for applications is 24th of October. Informal
enquiries may be addressed to Professor Erik Burman, email:

From: Esmond G. Ng
Date: September 22, 2021
Subject: Postdoc Fellowship Positions, Berkeley Lab

Berkeley Lab is now accepting applications for the 2022 Luis
W. Alvarez Postdoctoral Fellowship and the 2022 Admiral Grace Hopper
Postdoctoral Fellowship in the Computing Sciences Area.

Apply now for these two prestigious fellowships! Researchers in
computer science, mathematics, or any computational science discipline
who have received their Ph.D. within the last three years (i.e., no
earlier than January 1, 2019) are encouraged to apply. The successful
applicants will receive a competitive salary, professional travel
allowance, relocation assistance, excellent benefits, and an
opportunity to work in the San Francisco Bay Area. Since its founding
in 2002, the Luis W. Alvarez Fellowship has cultivated exceptional
young scientists who have gone on to make outstanding contributions to
computational and computing sciences. The Admiral Grace Hopper
Fellowship was established in 2015.

Additional information on the Luis W. Alvarez Postdoctoral Fellowship
and the Admiral Grace Hopper Postdoctoral Fellowship can be found at

Berkeley Lab's Computing Sciences Area researches, develops, and
deploys new tools and technologies to meet these needs and to advance
research in our core capabilities of computer science, mathematics,
and computational science. In addition to fundamental advances in our
core capabilities, we impact such areas as materials science,
chemistry, biology, astrophysics, climate change, combustion, and
fusion energy. Research areas in Computing Sciences include but are
not limited to: developing scientific applications and software
technologies for extreme-scale and energy-efficient computing;
developing mathematical modeling for complex scientific problems;
designing algorithms to improve the performance of scientific
applications; researching digital and post-digital computer
architectures for science; advancing extreme-scale scientific data
management, analysis, and machine-learning; developing next-generation
machine learning and AI approaches for science; advancing quantum
computing technologies, software, algorithms and applications;
evaluating or developing new and promising HPC systems and networking
technologies researching methods to control and manage dynamic circuit
networks; developing large-scale visualization and analytics
technologies; and managing scientific data in distributed environments.

Application Process: For consideration applications are due November
22, 2021. Letters of Reference are due November 29, 2021. Details of
the application process can be found by search for job 93892 at

From: Basque Center for Applied Mathematics
Date: September 21, 2021
Subject: Postdoc Position, ML for COVID-19 Prognosis, BCAM

New position in Machine Learning for COVID-19 prognosis.

The postdoctoral researcher will work on the research project "Early
prognosis of COVID-19 infections via machine learning" funded by AXA
Research Fund.

Apply in:

From: Ilse Ipsen
Date: September 18, 2021
Subject: Postdoc Position, NCState

The Department of Mathematics at NC State University has an open
postdoctoral position under its NSF funded Research Training Group
RTG, DMS-1745654 in Randomized Numerical Analysis (currently entering
year 4). The position is restricted to US citizens, nationals and
permanent residents. The postdoctoral associate must hold a PhD in
mathematics or a closely related discipline awarded after January 1,
2021 and the applicant should not have any prior postdoc
appointments. An exception to this rule, occasioned for instance by a
career interruption, may be requested in the cover letter. The
postdoctoral associate is expected to engage in research related to at
least one of the three complementary research thrusts of the project
in randomized numerical linear algebra, random nonlinear solvers, and
global sensitivity analysis. Based on background, strengths and
interests, the postdoc will be assigned one research mentor from the
faculty associated with the RTG: Alen Alexanderian, Mohammad
Farazmand, Pierre Gremaud, Mansoor Haider, Ilse Ipsen, Hangjie Ji, Tim
Kelley, Arvind Saibaba, Ralph Smith, and Fatma Terzioglu. An academic
mentor will be chosen from this group to oversee the postdocs training
and professional development. The postdoc will also play a leading
role in mentoring students associated with some of the project's
working groups; they will be expected to assist in organizing seminars
and activities related to the general research of the RTG. In
addition, the postdoc will teach on average one course per semester in
the Department of Mathematics. Inclusiveness and diversity are
critical to the success of the College of Sciences and the
University. The selected candidate will be expected to foster an
environment that is supportive and welcoming to all groups.

This position is for a term of up to three years, contingent upon
performance. The starting date is anticipated between March and August
2022. The 11 month salary of $62,500 includes summer support. In
addition, the postdoc will be given an annual travel budget of $3,000.
Through the system, applicants should submit a cover
letter, a CV, a research statement and the names of at least three
potential letter writers. Women and members of underrepresented
minority groups are particularly encouraged to apply. Applications
will be evaluated on a rolling basis until the position is filled;
please apply as soon as possible. Inquiries may be directed to Pierre
Gremaud (RTG Director): The deadline for full
consideration is November 15, 2021, although later applications will
be considered as resources permit.

From: Sehun Chun
Date: September 24, 2021
Subject: Postdoc Position, Yonsei Univ, South Korea

One postdoc position is available at Underwood International College,
Yonsei University and the Laboratory of Molecular Neuroimaging (MoNET
LAB) in Seoul, South Korea under Professor Sehun Chun
( starting from December 2021,
or the earliest possible after that. The successful postdoc candidate
will also collaborate closely with Professor Hae-Jeong Park from
Yonsei University College of Medicine. This appointment is initially
offered for two years, but renewable up to four years. Underwood
International College ( at Yonsei University
is a highly selective, English-based, four-year liberal arts
institution that combines the intimate and elite learning environment
of an American-style liberal arts college with the faculty and
resources of Korea's top private research university. The Laboratory
of Molecular Neuroimaging (MoNET LAB)
(, affiliated with the Yonsei
University Graduate School of Medical Science, Department of
Psychiatry, Department of Nuclear Medicine, and Department of
Cognitive Science, is an open research team gathered to develop
precise analyzing techniques for various brain data such as fMRI, PET,
EEG, DTI in the macroscopic level.

Main tasks for this position include: 1. Simulating 3D neural spike
propagation to understand the role of geometry in brain connectivity.
2. Constructing mathematical models to reveal the fiber structure for
successful information propagation. 3. Implementing the proposed
information propagation laws into a software reconstructing
patient-specific neural fiber in white matter. Ideal candidates
should have good programming skills and a solid background in
scientific computing. Researchers in any field of study would be
considered for different tasks. Any prior knowledge in neuroscience is
not required.

Yonsei University is an Equal Employment Opportunity and Affirmative
Action Employer. Women, minorities, and people with disabilities are
strongly encouraged to apply. Yonsei University is committed to
student and faculty diversity, equity, and inclusion.

Required Documents: Formal applications containing a cover letter, CV,
statement of research interest, and two letters of recommendation
should be directly sent by email attachment to Izabela Berile, email: For any further information or queries,
please contact Professor Sehun Chun, email: .

Deadline for Submissions:
Applications must be submitted by October 22nd, 2021, at 11:59PM (KST).
However, applications will be considered until the position is filled.

From: Mathias J. Krause
Date: September 24, 2021
Subject: PhD or Postdoc Position, Lattice Boltzmann Research Group, KIT

At the Lattice Boltzmann Research Group (LBRG) at the Karlsruhe
Institute of Technology
(KIT) we are looking for a

Research assistant.

Within the scope of a research project on modelling and simulation and
of turbulent
(particulate) fluid flows, a full-time position is to be filled
temporarily. After familiarisation,
remuneration is paid according to TV-L, E 13. There is the possibility
of a doctorate.

Besides enjoying scientific problem analysis as well as mathematical
and/or process
engineering problems and/or computer science, we expect you to have
good programming
skills, initiative, imagination and good communication skills in
written and spoken German
and English. Great importance is attached to working in a team.

The Karlsruhe Institute of Technology strives to increase the
proportion of women and
therefore particularly welcomes applications from women. Severely
handicapped applicants
will be given preferential consideration if they are equally qualified.

Please send applications with the usual documents, preferably
electronically in a pdf file, to

Dr. Mathias J. Krause

From: Christian Schulz
Date: September 20, 2021
Subject: PhD Position, Algorithm Engineering for Scalable Data Reduction

You love algorithms, their analysis and efficient implementation? You
are about to or know somebody who graduates with an excellent Master's
degree and is looking for a PhD position? Then please read on. The
Algorithm Engineering Group Heidelberg at Heidelberg University is
inviting applications for a full-time position in a DFG funded project
of a PhD Student (m/f) starting on November 1st, 2021 (the exact date
up to a couple of months is negotiable). Starting in the group as a
PostDoc is also possible. Working Area: A successful candidate will
work under the supervision of Prof. Dr. Christian Schulz on
engineering scalable data reduction algorithms. Over the last two
decades, significant advances have been made in the design and
analysis of FPT algorithms for a wide variety of graph
problems. However, these theoretical algorithmic ideas have received
very little attention from the practical perspective. This project
aims to bridge the gap between theory and practice currently observed
in FPT or kernelization approaches. Further responsibilities as part
of the position include the supervision of bachelor and master
students and possibly TA duties. Requirements: Very good university
degree (Master or equivalent) in computer science or a related field;
Willingness to learn and later assist teaching in German; Solid skills
in software development and in the theoretical analysis of algorithms
(evidenced by your thesis or relevant courses); knowledge in
combinatorial algorithms and linear algebra is particularly desirable;
Self-motivation, team spirit and willingness to work in
interdisciplinary projects; Knowledge in parallel programming (in
particular MPI) is a plus, but no requirement.

Please *forward this email to anyone who may be interested* or send
your application documents (cover letter, CV, copies of certificates)
and the contact information of two references if available to the
address below. To receive full consideration, submit the documents via
email by October 15th, 2021 to:

Univ.-Prof. PD. Dr. Christian Schulz
Algorithm Engineering
Heidelberg University
Telephone: +49 (0) 6221 54- 14342

From: Jose E Castillo
Date: September 18, 2021
Subject: PhD Position, Computational and Data Science, SDSU

The Interdisciplinary Ph.D. Program in Computational Science is aimed
at training scientists and engineers who will create advanced
computational methods and tools to model and solve challenging
problems at the intersections of scientific disciplines. The doctoral
program offers coursework and research in a broad range of subjects
that develop expertise in Mathematical Modeling and Scientific
Computing with applications to Biological Science, Earth Science,
Engineering Science, Health, Physical and/or Chemical Science. UCI and
SDSU campuses are recognized as Hispanic Serving Institutions offering
a welcoming and supportive environment for diverse students. Admitted
graduate students are offered a range of financial assistance options
while they are pursuing advanced degrees, including Teaching,
Graduate, and Research Assistantships and Fellowships. Applicants with
strong backgrounds in mathematics, physical, biological and geological
sciences, computer science, and engineering are invited to apply.
Please check our website for details regarding the doctoral program
and the application process.


End of Digest