Today's Editor:
Alex Townsend
Cornell University
townsend@cornell.edu
Today's Topics:
End-of-year message
NSF REU Site on Big Data with HPC, ONLINE, Jun-Jul 2026
OpenLB Release 1.9 available for download
Workshop, AI for Science, 21 Jan 2026, London
Workshop on adaptivity for nonlinear PDEs, Mar 23-25 2026, Inria Paris
[First announcement] ICOSAHOM2027 Conference, July 5-9, 2027, Politecnico di Milano
Workshop on Singular Problems, Vienna Sept 1-3, 2026
PhD Opportunity in Mathematical Optimisation at The University of Queensland (Australia)
Fully-funded PhD opportunity available for UK applicants
Canada Impact+ Chair Positions, University of Waterloo
Contents, AIMS New Article: JCD Vol. 13, Art. 2
Contents, AIMS New Article: JMD Vol. 21, Art. 17
Contents, AIMS New Volume: AMMC Vol. 6
Contents of Volume 20 of the International Journal of Mathematics and Computer Science
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/25/v25n52.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: Alex Townsend townsend@cornell.edu
Date: December 24, 2025
Subject: End-of-year message
As 2025 comes to a close, we would like to thank the NA Digest community for
another active year.
Throughout 2025, the Digest has maintained a steady weekly rhythm, sharing
hundreds of announcements spanning conferences, workshops, software
releases, books, prizes, and a substantial number of PhD, postdoctoral, and
faculty opportunities in numerical analysis and scientific computing. What a
community we have!
Thank you to everyone who contributed content, and to the more than 10,000
readers who follow NA Digest each week. We wish you a relaxing holiday
season and all the best for 2026.
Yours,
Alex and David
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From: Matthias Gobbert gobbert@umbc.edu
Date: December 22, 2025
Subject: NSF REU Site on Big Data with HPC, ONLINE, Jun-Jul 2026
Dear Colleagues,
Please forward to undergraduate students interested in AI and HPC!
We are organizing an NSF-funded REU (Research Experiences for
Undergraduates) Site program at UMBC: Online Interdisciplinary
Big Data Analytics in Science and Engineering. It is a purely
online program open to students from the entire nation.
The 8-week program will include training in fundamentals of HPC
software (MPI) and productivity tools (SLURM) on large
distributed-memory clusters with CPUs and GPUs as well as Data
Analytics applications like Tensorflow, Keras, PyTorch, and Horovod.
Each student will be paid a stipend of $5,600 for participation and
provided with opportunities to present their work at conferences.
We are looking for students from all STEM disciplines and
particularly also for students who are interested in gaining
Big Data, HPC, and application experience.
More information can be found at https://bigdatareu.umbc.edu
and the PDF flyer there. The application is by 03/01/2026
using the NSF ETAP system. The two project topics planned are
(1) Artificial Intelligence and Big Data Research for Earth Applications;
(2) Machine Learning in Real-Time Imaging for Medical Imaging.
Both projects are in partnership with outside collaborators to give
an interdisciplinary research experience. The program is online to
enable participation of students who might not be free to travel
and is in teams for a collaborative research experience. Each team
is supported by a dedicated graduate assistant and will publish a
technical report in the HPCF Tech. Rep. series. Every team in past
years has additionally published at least a conference paper.
Please distribute this opportunity to undergraduate students
and additional colleagues/communities. Thank you very much!
Matthias Gobbert, Math & Stat (gobbert@umbc.edu) and
Jianwu Wang, IS (jianwu@umbc.edu)
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From: Mathias J Krause mathias.krause@kit.edu
Date: December 21, 2025
Subject: OpenLB Release 1.9 available for download
OpenLB Release 1.9 available for download
The developer team is very happy to announce the release of the next major
version of OpenLB (https://www.openlb.net/news/openlb-release-1-9-
available-for-download/). The updated open-source Lattice Boltzmann (LB)
code is now available for download.
For this release, we refactored almost all of our 138 examples into a new unified
and more user friendly case style. This allows for easy adjustment of
parameters and convenient re-use of example for e.g. parameter studies,
adjoint optimization and uncertainty quantification. It is also essential
preparation for the introduction of transparent local grid refinement. Beyond
that we added various new models and example cases in addition to
introducing SI-unit-based setters for moments. Last but not least, OpenLB 1.9
also provides preliminary support for AMD GPUs using HIP/ROCm.
The new release is also available in our public Git repository together with all
previous releases. Recently, we also started pushing lots of incremental
updates and fixes there, so keep a look out! We also encourage everyone to
submit contributions as merge requests and report issues there.
Highlights
- New unified style for simulation cases
- Consistent CLI interface for changing parameters without re-compilation
- SI setters for moments
- Initial support for AMD GPUs (tested on AMD Instinct MI300A and AMD RX
7800 XT)
- Startup message including a fancy ASCII art logo and environment
information Models
- New electrochemical models and validated applications to electroosmotic
flows in porous media
- Physically parameterized and well-balanced multi phase
- New characteristics-based boundary condition and damping function for
acoustics
- Support for cell-centered grid refinement
OpenLB is able to utilize vectorization (AVX2/AVX-512) on x86 CPUs as well as
both NVIDIA and AMD GPUs for block-local processing. CPU targets may
additionally utilize OpenMP for shared memory parallelization while any
communication between individual processes is performed using MPI.
It has been successfully employed for simulations on computers ranging from
low-end smartphones over multi-GPU workstations up to supercomputers and
even runs in your browser.
OpenLB was also tested on all partitions (blue, green, teal, ruby) of HoreKa
(NHR@KIT) as well as Karolina (IT4I), Leonardo (CINECA) and ALPS (CSCS).
Keine alternative Textbeschreibung für dieses Bild vorhanden
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From: Marta Betcke m.betcke@ucl.ac.uk
Date: December 19, 2025
Subject: Workshop, AI for Science, 21 Jan 2026, London
"Frontiers of AI for Science: Machine Learning for Climate and Beyond" will take
place on Wednesday, Jan 21 2026, 9am-5pm GMT, at LIIMS (London Institute
for Mathematical Sciences).
Expect cutting-edge research talks, the SPDE Learning Competition 2025
awards ceremony, and a lively panel discussion.
More information and registration are available at
https://www.eventbrite.co.uk/e/frontiers-of-ai-for-science-machine-learning-
for-climate-and-beyond-tickets-1977835906438?aff=oddtdtcreator
Registration is free, but places are limited, so please register early to avoid
disappointment. Registration will close by end of 14 Jan 2026 (GMT).
Looking forward to meeting you in London
Marta Betcke and Hao Ni
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From: Martin Vohralik martin.vohralik@inria.fr
Date: December 19, 2025
Subject: Workshop on adaptivity for nonlinear PDEs, Mar 23-25 2026, Inria Paris
We are organizing a workshop on Robust adaptivity for nonlinear partial
differential equations. It will take place March 23 - 25, 2026, at Inria Paris.
Main topics are numerical discretizations of partial differential equations, a
posteriori error estimates, iterative linearization, linear algebraic solvers, mesh
and polynomial degree adaptivity, stopping criteria, interplay of error
components, convergence and optimality with respect to computational cost, h–
and p-robustness, and material properties robustness.
There is no workshop fee, but registration at apost2026@inria.fr is compulsory.
All the details can be found at https://project.inria.fr/ranpdes/workshop-2026/.
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From: Paola F. Antonietti paola.antonietti@polimi.it
Date: December 22, 2025
Subject: [First announcement] ICOSAHOM2027 Conference, July 5-9, 2027, Politecnico di Milano
Dear Colleagues,
It is our pleasure to announce that
ICOSAHOM 2027 - the 16th International Conference on Spectral and High
Order Methods
will take place from 5–9 July 2027 at Politecnico di Milano, Italy.
Since 1989, the International Conference on Spectral and High-Order
Methods has served as a leading international forum for researchers and
practitioners working on the theoretical, computational, and applied aspects
of high-order and spectral methods for solving differential equations.
The 2027 edition of ICOSAHOM will be proudly hosted by Politecnico di
Milano, bringing together experts from around the world to share the latest
advances and foster new collaborations in this vibrant field.
ICOSAHOM 2027 is a satellite meeting of the 11th International Congress on
Industrial and Applied Mathematics (ICIAM), to be held in The Hague, The
Netherlands, from 12–16 July 2027 (https://iciam2027.org)
Further information about the conference will be provided on the official
website: https://icosahom2027.org/.
For any inquiries, please get in touch with us at:
icosahom2027-dmat@polimi.it
We look forward to welcoming you to Milano!
ICOSAHOM 2027 Conference Co-Chairs
Paola F. Antonietti, Nicola Parolini, Marco Verani
(MOX Laboratory, Department of Mathematics, Politecnico di Milano)
on behalf of the Organizing Committee
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From: Jens Markus Melenk melenk@tuwien.ac.at
Date: December 22, 2025
Subject: Workshop on Singular Problems, Vienna Sept 1-3, 2026
The IWANASP workshop series (International Workshop on Analysis and
Numerical Approximation of Singular Problems) is a forum for the discussion of
the analysis and numerics of differential and integral equations with
singular coefficients. The 7th edition of this workshop series will take place at
TU Vienna September 1-3, 2026.
For more information and registration, please visit
https://sites.google.com/view/iwasnasp2026
Pedro Lima (Lisbon), Markus Melenk (TU Wien), Ewa Weinmueller (TU Wien
-------------------------------------------------------
From: Fred Roosta fred.roosta@uq.edu.au
Date: December 23, 2025
Subject: PhD Opportunity in Mathematical Optimisation at The University of Queensland (Australia)
We are offering a fully funded PhD position in the School of Mathematics and
Physics at The University of Queensland, focused on the development and
analysis of next-generation Newton-type optimisation methods. The project
addresses fundamental questions in large-scale optimisation and numerical linear
algebra, with strong connections to modern machine learning.
Applicants should have a strong background in applied mathematics,
optimisation, linear algebra, or closely related areas, with experience in
programming (e.g. Python).
The position is supported by a competitive scholarship covering tuition fees and
a living stipend.
Further details and application instructions are available on the project webpage:
https://study.uq.edu.au/study-options/phd-mphil-professional-
doctorate/projects/next-generation-newton-type-methods-minimum-residual-
solver
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From: David Chappell david.chappell@ntu.ac.uk
Date: December 19, 2025
Subject: Fully-funded PhD opportunity available for UK applicants
Fully-funded PhD opportunity available for UK applicants on Electric Vehicle
Noise Emission Design: Enhancing Pedestrian Safety While Reducing Urban Noise.
We are seeking highly motivated candidates with a passion for mathematical
modelling and scientific computing.
Modelling high-frequency noise in urban environments is a challenging problem
in applied mathematics with importance in the automotive industry, where
predictions of EV noise are needed to improve their virtual design workflows. The
successful candidate will further develop a state-of-the-art data-driven high-
frequency wave simulation methodology alongside conducting experiments to
investigate the relationship between vehicle noise and risk perception, with the
goal of specifying a design space for optimised EV component design in terms of
noise emissions.
For further details and to apply, please see:
https://www.ntu.ac.uk/study-and-courses/postgraduate/phd/phd-
opportunities/studentships/safety-and-sustainability-phd-studentships/electric-
vehicle-noise-emission-design-enhancing-pedestrian-safety-while-reducing-
urban-noise
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From: Hans De Sterck hdesterck@uwaterloo.ca
Date: December 22, 2025
Subject: Canada Impact+ Chair Positions, University of Waterloo
Applications are invited for multiple Canada Impact+ Research
Chairs to be held at the University of Waterloo.
These are
prestigious senior chair positions at the level of Associate
Professor/Professor that come with a funding package of $0.5M or
$1M per year for 8 years (total funding $4M or $8M), with potential
for a 4-year renewal. The Canada Impact+ Research Chairs Program is
funded by the Canadian government to support institutions in
attracting world-leading researchers.
The Department of Applied
Mathematics at the University of Waterloo is especially interested
in prospective applicants with research focus in the following
strategic priority areas:
-scientific machine learning
-quantum
computing
-mathematical medicine and biology
-environment and
climate
-manufacturing and advanced materials
Informal expressions
of interest (with CV) for a Chair to be held in the Department of
Applied Mathematics can be directed to Prof. Hans De Sterck
(hans.desterck@uwaterloo.ca), Chair of the Department of Applied
Mathematics, by January 10, 2026.
More information about the
Impact+ Chair Program and how to apply at the University of
Waterloo is available at
https://www.canada.ca/en/impact-plus-
chairs/program-details/competition/2026/apply.html
https://
uwaterloo.ca/research/find-and-apply-funding/find-funding/canada-
impact-research-chairs-program-university-waterloo
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From: Charley Denton cdenton@aimsciences.org
Date: December 19, 2025
Subject: Contents, AIMS New Article: JCD Vol. 13, Art. 2
Journal of Computational Dynamics
Volume: 13, Art. 2
January 2026
https://www.aimsciences.org/jcd/article/2026/13/0
Dynamics on invariant tori emerging through forced symmetry breaking in phase
oscillator networks
Christian Bick, José Mujica and Bob Rink
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From: Charley Denton cdenton@aimsciences.org
Date: December 24, 2025
Subject: Contents, AIMS New Article: JMD Vol. 21, Art. 17
Journal of Modern Dynamics
Volume: 21, Art. 17
2025
https://www.aimsciences.org/jmd/article/2025/21/0
Non-convex Mather's theory and the Conley conjecture on the cotangent bundle
of the torus
Claude Viterbo
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From: Charley Denton cdenton@aimsciences.org
Date: December 24, 2025
Subject: Contents, AIMS New Volume: AMMC Vol. 6
Applied Mathematics for Modern Challenges
Volume: 6
December 2025
https://www.aimsciences.org/AMMC/article/2025/6/0
Preface
Kim Knudsen and Hjørdis Schlüter
A speech enhancement method using Fast Fourier Transform and Convolutional
Autoencoder
Pu-Yun Kow and Pu-Zhao Kow
A neural-network-free approach to signal reconstruction
An-Hsien Kao, Pu-Zhao Kow and Yueh-Cheng Kuo
Helsinki speech challenge 2024 – competition and open dataset
Martin Ludvigsen, Elli Karvonen, Markus Juvonen and Samuli Siltanen
Regularized inverse filtering and machine learning methods for speech
enhancement - the Helsinki Speech Challenge 2024
Yue Chang, Asger Dyregaard, Søren Vejlgaard Holm, Marie Juhl Jørgensen, Kim
Knudsen, Karl Meisner-Jensen, Christian Deding Nielsen and Martin Carsten
Nielsen
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From: Badih Ghusayni neda@future-in-tech.net
Date: December 23, 2025
Subject: Contents of Volume 20 of the International Journal of Mathematics and Computer Science
All papers in Volume 20 of the International Journal of Mathematics and
Computer Science can be downloaded freely via the following four links:
https://future-in-tech.net/Volume20.1.htm
https://future-in-tech.net/Volume20.2.htm
https://future-in-tech.net/Volume20.3.htm
https://future-in-tech.net/Volume20.4.htm
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End of Digest
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