Today's Editor:
Alex Townsend
Cornell University
townsend@cornell.edu
Today's Topics:
Second Call (deadline Oct. 15): SIAM Activity Group on Optimization Prizes
pyewt: Empirical Wavelet Transforms Python Package
Software Release, pyMOR 2025.1
Version 14 of INTLAB, the MATLAB/Octave toolbox for Reliable Computing
New book, Linear Algebra, 2nd edition
Fifth Biennial Meeting of the PNW Section of SIAM, October 3-5, 2025
Call for minisymposia, CMAM conference, July 2026
PhD Positions, Data Science and Knowledge Discovery, SimulaMet, Oslo, Norway
Research Assistant Position at WIAS Berlin, Germany
Postdoctoral researcher position @ ESSEC
PhD position at DLR / University of Göttingen
Assistant Professor (Tenure-Track) - Applied Mathematics at Simon Fraser University
Call for papers, MC special collection
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/25/v25n36.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: Luis Nunes Vicente lnv@lehigh.edu
Date: August 30, 2025
Subject: Second Call (deadline Oct. 15): SIAM Activity Group on Optimization Prizes
The SIAM Activity Group on Optimization (SIAG/OPT) invites nominations for its
three prestigious prizes, to be awarded at the upcoming 2026 SIAM
Conference on Optimization. These prizes are awarded every three years and
recognize outstanding contributions to the field of optimization across
different stages of a researcher's career and types of scholarly work.
SIAM Activity Group on Optimization Best Paper Prize
Established in 1992, this prize is awarded to the author or authors of the most
outstanding paper on a topic in optimization. Deadline Oct. 15.
Nominate here: https://www.siam.org/programs-initiatives/prizes-awards/activity-group-prizes/siam-activity-group-on-optimization-best-paper-prize
SIAM Activity Group on Optimization Test of Time Award
Established in 2022, the award is given to an individual or group of researchers
for an outstanding work that has had significant and sustained influence on the
field of optimization over a time period of at least 10 years preceding the year
of the award. Deadline Oct. 15.
Nominate here: https://www.siam.org/programs-initiatives/prizes-awards/activity-group-prizes/siam-activity-group-on-optimization-test-of-time-award
SIAM Activity Group on Optimization Early Career Prize
Established in 2018, the prize is awarded to an individual in their early career for
outstanding, influential, and potentially long-lasting contributions to the field of
optimization. Deadline Oct. 15.
Nominate here: https://www.siam.org/programs-initiatives/prizes-awards/activity-group-prizes/siam-activity-group-on-optimization-early-career-prize
We encourage the SIAM community to recognize and celebrate excellence in
optimization research by nominating deserving candidates for these awards.
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From: Jerome Gilles jgilles@sdsu.edu
Date: September 01, 2025
Subject: pyewt: Empirical Wavelet Transforms Python Package
This package is the official python package that provides the different empirical
wavelet transforms published by J.Gilles and his lab.
It does provide the same transforms as the original Matlab toolbox
(https://github.com/jegilles/Empirical-Wavelets).
The package can be installed via pip: pip install pyewt
The source code is available at: https://github.com/jegilles/pyewt
The detailed documentation is available at:
https://pyewt.readthedocs.io/en/latest/index.html#
The available transforms are:
1D transform
- original Littlewood-Paley transform
- transform using different mother wavelets
- tools to extract/plot the time-frequency information
2D transform
- tensor approach
- isotropic Littlewood-Paley
- curvelets type I, II, and III
- Voronoi based Littlewood-Paley
- watershed based Littlewood-Paley
- plotting tools for both the filters and the extracted wavelet coefficients
Partition detection tools
- basic 1D partitioning
- scale-space method in both 1D and 2D
- Voronoi and watershed partitioning
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From: Petar Mlinarić petar.mlinaric@math.hr
Date: September 05, 2025
Subject: Software Release, pyMOR 2025.1
We are proud to announce the release of pyMOR 2025.1!
This release introduces a major breaking change in pyMOR’s VectorArray API,
along with a few new features. By popular demand, VectorArrays can be now
interpreted as matrices of column vectors instead of row vectors. Although,
formally, VectorArrays are just sequences of abstract vectors, interface
methods like lincomb, dofs or to_numpy work with 2D NumPy arrays. These
arrays are now transposed such that array axis 1 (instead of axis 0)
corresponds to the vector index. This change makes working with VectorArrays
much more natural when translating typical matrix expressions from model
order reduction or numerical linear algebra to pyMOR.
Read the full release notes at
https://docs.pymor.org/2025-1-1/release_notes/all.html
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From: Siegfried M. Rump rump@tuhh.de
Date: September 01, 2025
Subject: Version 14 of INTLAB, the MATLAB/Octave toolbox for Reliable Computing
Version 14 of INTLAB, the MATLAB®/Octave toolbox for reliable computing, is
available. It computes rigorous error bounds for numerical problems in floating-
point, where results are always mathematically guaranteed to be correct.
INTLAB includes problem solving routines for full and sparse, real and complex
linear and nonlinear systems, local/global optimization, ODEs and more.
INTLAB is entirely written in MATLAB®/Octave in some 2000 M-files with some
76,000 lines of code (without comments), 137,000 lines (with comments).
Compared to the previous version there is substantial progress in Version 14:
1 Sparse systems, real and complex, including underdetermined and least-
squares problems, are now fully supported — solving a long-standing challenge
in verification methods.
2 High-speed matrix/vector routines (prodK, spProdK) by Marko Lange,
supporting K-fold precision (approx. or inclusion) where optionally results may be
stored in L terms of an unevaluated sum. They often faster than Advanpix, the
mp-toolbox, despite its highly optimized C-based core.
3 Verified matrix factorizations: lu, chol, qr, svd, eig, schur, takagi, polar, plus
utilities like orth, null, pinv, rank, and range enclosures for nonlinear functions.
There are 25 standalone demo files to be inspected at
https://www.tuhh.de/ti3/rump/intlab/demosnew/html/index.html
INTLAB is available at https://www.tuhh.de/ti3/rump/intlab
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From: Volker Mehrmann mehrmann@math.tu-berlin.de
Date: September 03, 2025
Subject: New book, Linear Algebra, 2nd edition
We are happy to announce the publication of the second edition of the textbook
Linear Algebra
by Jörg Liesen and Volker Mehrmann
This self-contained textbook, now in a thoroughly revised and expanded
second edition, takes a matrix-oriented approach to Linear Algebra. It presents
a complete theory, including all details and proofs, culminating in the Jordan
canonical form and its derivation. Throughout, the book emphasizes the
practical applicability of results. It therefore also covers special topics in
Applied Linear Algebra, such as matrix functions, the singular value
decomposition, the Kronecker product, and linear matrix equations. New to this
edition are topics such as the Frobenius canonical form and a more detailed
treatment of infinite-dimensional vector spaces, along with many additional
exercises.
The book’s matrix-oriented approach enhances intuition and simplifies abstract
concepts, making them easier to understand and to apply in real-world
scenarios. Key applications are illustrated through detailed examples.
Additionally, several "MATLAB Minutes" allow students to explore concepts and
results through computational experiments, supported by a brief introduction
to MATLAB fundamentals. Together with over 380 exercises, this encourages
active engagement with the material.
The textbook is available as printed book as well as ebook under
https://link.springer.com/book/10.1007/978-3-031-93260-1
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From: Donna Calhoun donnacalhoun@boisestate.edu
Date: August 31, 2025
Subject: Fifth Biennial Meeting of the PNW Section of SIAM, October 3-5, 2025
The University of Washington, Seattle, WA will host the Fifth Biennial
Meeting of the Pacific Northwest Section of SIAM (SIAM PNWS), jointly with
the 35th Pacific Northwest Numerical Analysis Seminar (PNWNAS). This
meeting will also serve as an occasion to celebrate Professor Randy
LeVeque's extraordinary contributions to applied math and to the Pacific
Northwest community. The in-person event will bring together applied
mathematicians in academia, national labs, and industry located primarily in
the Pacific Northwest (PNW). The meeting will consist of plenary lectures,
minisymposia, contributed talks and student posters.
Dates : October 3-5
Location : University of Washington, Seattle campus
Featured speakers :
Vrushali Bokil, (Oregon State University)
Maryam Fazel (University of Washington)
David Ketcheson, (KAUST, Saudi Arabia)
Key-Ming Shyue (National Taiwan University)
Travel awards are available for students - please see our website for
information on how to apply.
Registration is now open!
Please see our website for more details.
https://sites.google.com/view/2025siampnwconference/home
We look forward to seeing you in Seattle!
PNW SIAM Section Officers and organizing committee.
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From: Michael Feischl cmam2026@asc.tuwien.ac.at
Date: September 03, 2025
Subject: Call for minisymposia, CMAM conference, July 2026
We are happy to announce the 11th edition of the CMAM conference
Computational Methods in Applied Mathematics (CMAM 2026)
July 20 — 24, 2026 at TU Wien, Vienna, Austria
All information can already be found at the conference webpage
https://www.asc.tuwien.ac.at/cmam2026/
If you intend to organize a minisymposium, details can be found here:
https://www.asc.tuwien.ac.at/cmam2026/ms/
We are looking forward to seeing you at TU Wien!
Best regards,
Markus Faustmann,
Michael Feischl,
Dirk Praetorius.
PS. Please note that the FoCM conference will also take place in Vienna
from July 8 — 18, 2026 (just before CMAM)
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From: Evrim Acar evrim@simula.no
Date: September 03, 2025
Subject: PhD Positions, Data Science and Knowledge Discovery, SimulaMet, Oslo, Norway
Data Science and Knowledge Discovery Department (DataSci) at Simula
Metropolitan Center for Digital Engineering (Oslo, Norway) is looking for highly-
motivated, self-driven and curious PhD students with a strong numerical linear
algebra and machine learning background.
Research activities at DataSci focus on developing data mining/machine learning
methods, in particular, matrix/tensor decompositions, multimodal data mining,
knowledge-guided machine learning, temporal data mining, as well as
applications of the developed methods in various fields, specifically, in omics and
neuroimaging data analysis. DataSci carries out cutting-edge research on
interpretable and explainable methods to jointly analyze multimodal longitudinal
data sets.
We are looking for PhD students who will be part of an interdisciplinary research
environment, and are expected to carry out research on explainable multimodal
learning and/or knowledge-guided machine learning. For details about the
projects, please check out the job postings.
https://www.simula.no/careers/job-openings/phd-positions-in-multimodal-
learning-and-knowledge-guided-machine-learning
The deadline for applications is October 15, 2025.
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From: Marie Stöbe jobs@wias-berlin.de
Date: September 02, 2025
Subject: Research Assistant Position at WIAS Berlin, Germany
The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an
institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven
non-university research institutes in Berlin which are funded by the federal and
state governments. The research institutes belong to the Leibniz Association.
WIAS invites applications for a
Research Assistant Position (f/m/d)
(Ref. 25/16)
in the Research Group
“Stochastic Algorithms and Nonparametric Statistics”
in the project
„SFB/Transregio 388“
SFB/Transregio 388 investigates the interplay between rough analysis and
stochastic dynamics. Central aspects include rough paths and subsequent
developments for nonlinear stochastic partial differential equations. The theory
of signatures and rough volatility also provides important connections to
algebra, statistics, and financial mathematics.
Website: https://sites.google.com/view/trr388/
Project B03 of SFB/TRR388 concerns numerical methods for the treatment of
stochastic optimal control problems and backward stochastic differential
equations based on the path signature of the driving process.
We are looking for: The applicant should hold a completed PhD in Mathematics
or nearby field (at the starting date of employment). The successful candidate
should possess evidenced (e.g. by relevant PhD thesis and publications)
knowledge of stochastic and rough analysis. Knowledge of rough path
signatures, numerical methods for stochastic models or optimal control is
desired.
What we offer:
• WIAS Berlin is a premier research institution known for its strength in
optimization, optimal control, dynamical systems, and applied mathematics in
general.
• Mobile working
• A certified (Audit berufundfamilie) family-friendly work environment.
• Berlin is one of the most culture-rich and diverse international cities in the
world. It offers endless opportunities to enjoy life outside work, while being
very affordable compared to other major cities. Neither the job nor living in
Berlin requires German language (although WIAS offers free German courses).
We highly welcome international applications. Scientifically, Berlin offers a rich
landscape with numerous opportunities for research, as well as job prospects in
academia and industry.
Please direct scientific queries to Dr. Christian Bayer (christian.bayer@wias-
berlin.de) and Prof. Dr. Peter Bank (bank@math.tu-berlin.de).
The position is available immediately, remunerated at WIAS (50%) in
accordance with EG13 TVoeD Bund (German federal civil service pay scale) and
is limited until June 30, 2028.
The Weierstrass Institute is an equal opportunity employer. We explicitly
encourage female researchers to apply for the offered position. Among equally
qualified applicants, disabled candidates will be given preference.
Please upload complete application documents including a cover letter,
curriculum vitae and photocopies of relevant certificates as soon as possible via
our online job-application facility (https://short.sg/j/59106068) by October 5,
2025 using the button “Apply online” (https://short.sg/a/59106068).
We are looking forward to your application!
See here for more information:
https://www.wias-berlin.de/jobs/index.jsp?lang=1
https://wias-berlin.softgarden.io/de/vacancies
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From: Emiliano Traversi emiliano.traversi@gmail.com
Date: September 04, 2025
Subject: Postdoctoral researcher position @ ESSEC
Host: ESSEC Business School (Paris Area, France)
Start: Sept–Nov 2025 (flexible)
Duration: 18 months, possible 1-year extension
Summary:
We aim to design sustainable optimization methods enhanced by ML,
focusing on decomposition techniques (column generation, Benders).
These are powerful for large-scale problems but costly in time,
energy, and carbon emissions. We address this by integrating
Active Learning (reduce training data) and Reinforcement Learning
(guide optimization dynamically). Training effort will be treated
as a key criterion alongside solution quality.
Test case: Stochastic Dial-a-Ride Problem (SDARP), modeling urban
transport under uncertainty.
Position: Postdoc in optimization + ML. Work on ML-augmented
decomposition, AL strategies, benchmarking SDARP pipelines,
and publishing results.
Profile: PhD in OR/ML/Applied Math/CS. Experience in optimization
and ML. Knowledge of decomposition, AL, or RL is a plus. Strong
Python/Julia coding. Excellent English skills.
Advisors:
Prof. Emiliano Traversi (ESSEC/Paris)
Prof. Morteza Haghir Chehreghani (Chalmers/Gothenburg)
Prof. Ashkan Panahi (Chalmers/Gothenburg)
Apply: Send CV, 1-page motivation letter, and 2 refs (plus up to
2 papers) to emiliano.traversi@essec.edu , subject “Postdoc Application -
Learn2Opt”. Position open until filled.
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From: Christoph Lehrenfeld lehrenfeld@math.uni-goettingen.de
Date: August 31, 2025
Subject: PhD position at DLR / University of Göttingen
The DLR Institute of Aerodynamics and Flow Technology in Göttingen invites
applications for a PhD position on the use of analog and hybrid computers for
solving fluid flow equations (e.g. Navier–Stokes). The work includes developing
and testing analog computer programs for CFD, and applying them. The PhD
project will be carried out in cooperation with the Institute for Numerical and
Applied Mathematics at the University of Göttingen. Applicants should hold a
Master’s in mathematics, physics, engineering, or related fields, with
knowledge of numerical methods, fluid mechanics, and programming.
More information: https://jobs.dlr.de/default/job/Mathematician%2C-physicist-or-similar-%28fmd%29-Solving-flow-equations-on-analog-computers/2348-en_GB
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From: Maureen Curtin mcs@sfu.ca
Date: September 04, 2025
Subject: Assistant Professor (Tenure-Track) - Applied Mathematics at Simon Fraser University
Assistant Professor (Tenure-Track) - Applied Mathematics (Scientific Machine
Learning and PDEs)
The Department of Mathematics at Simon Fraser University (SFU) invites
applications for a full-time tenure-track position at the rank of Assistant
Professor, with an expected start date of July 15, 2026.
Applications must be submitted online via MathJobs:
https://www.mathjobs.org/jobs/list/26963.
Reference letters must also be uploaded via MathJobs. Full consideration will be
given to applications received by November 1, 2025. Applications received after
this deadline may be reviewed if the position is still open.
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From: Zoran Tomljanovic ztomljan@mathos.hr
Date: September 03, 2025
Subject: Call for papers, MC special collection
We would like to announce the special collection in the journal Mathematical
Communications ( https://www.mathos.unios.hr/mc ) on the topic:
"Optimal Control of Dynamical Systems and Applications"
Submission deadline is December 31, 2025.
This special collection originates from the 4th Workshop on Optimal Control of
Dynamical Systems and Applications, held in February 2025, but remains open
to contributions from the broader community. We welcome papers related to
the following topics: model order reduction methods, optimization and
applications that arise in the study of dynamical systems.
While submitting your manuscript, indicate in the cover letter that your paper is
intended for this special collection. Alternatively, you may mention this in the
Pre-review Discussion by leaving a comment to the Editor specifying that the
submission is for the special collection.
Please share this invitation with colleagues who may be interested.
Local workshop organisers,
Ion Victor Gosea,
Serkan Gugercin,
Zoran Tomljanovic,
Matea Ugrica Vukojevic
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End of Digest
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