Today's Editor:
Alex Townsend
Cornell University
townsend@cornell.edu
Today's Topics:
New book, A Concise Introduction to Geometric Numerical Integration, 2nd Ed
Invitation to talk by Prof. Fish (Columbia) – Dec. 4, 2-3PM EST
Conference on the occasion of Christian Klingenberg’s 70th birthday, Mar 2026
41st Colorado Conference on Iterative and Multigrid Methods, June 2026
SciCADE 2026 Research School, 22–26 June, 2026
Deadline Approaching: PhD Position in Bilevel and Robust Optimization at UTN
PhD Opportunity in SFB 1294: Data-based MOR for stochastic dynamics
PhD Position in Numerical Methods for PDEs, TU Berlin, Germany
Postdoc position in Numerical Optimization at ENS Lyon
Postdoc Position in Interacting Particle Methods for Bayesian Inversion at NUMA – KU Leuven
HPC cluster admin position
Contents, AIMS New Article: ACSE Vol. 6, Art. 2
Contents, AIMS New Article: AMMC Vol. 6, Art. 2
Contents, AIMS New Volume: CPAA Vol. 25
Contents, AIMS New Article: JMD Vol. 21, Art. 16
Call for Papers: Special Issue on "Mathematical Methods in Machine Learning, Neural Networks, and Computer Vision"
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/25/v25n48.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
-------------------------------------------------------
From: Fernando Casas casas@uji.es
Date: November 24, 2025
Subject: New book, A Concise Introduction to Geometric Numerical Integration, 2nd Ed
A Concise Introduction to Geometric Numerical Integration, Second Edition,
by Sergio Blanes and Fernando Casas, CRC Press 2026
https://www.routledge.com/A-Concise-Introduction-to-Geometric-Numerical-
Integration/Blanes-Casas/p/book/9781032862460
The book presents the main themes, techniques, and applications of geometric
integrators for researchers in mathematics, physics, astronomy, and chemistry
who are already familiar with numerical tools for solving differential equations. It
also offers a bridge from traditional training in the numerical analysis of
differential equations to understanding recent, advanced research literature on
numerical geometric integration.
Accessible to researchers and post-graduate students from diverse
backgrounds, this introductory book gets readers up to speed on the most
significant ideas, methods, and applications.
The main changes compared to the previous edition are as follows: a thorough
treatment of non-autonomous systems; an expanded discussion of splitting
and composition methods with complex coefficients and the treatment of
partial differential equations; additional applications geometric integrators
(including the Hamiltonian Monte Carlo technique and quantum computing); a
complete redesign of all figures and the addition of new exercises, as well as an
enhanced list of bibliographic references.
-------------------------------------------------------
From: Pablo Seleson selesonpd@ornl.gov
Date: November 26, 2025
Subject: Invitation to talk by Prof. Fish (Columbia) – Dec. 4, 2-3PM EST
Dear Colleagues,
I would like to invite you to attend an upcoming presentation:
“Predictive Multiscale Paradigm for Integrated Manufacturing and Component
Design”
The talk will be given by Prof. Jacob Fish from Columbia University as part of
the Oak Ridge National Laboratory (ORNL) Computational Mechanics Seminar
series.
The seminar will be held on Thursday, December 4, 2025, from 2:00 to 3:00
PM EST.
A Microsoft Teams link is available at:
https://computmech.ornl.gov/seminars.html
Best Regards,
Pablo Seleson
-------------------------------------------------------
From: Wasilij Barsukow wasilij.barsukow@math.u-bordeaux.fr
Date: November 26, 2025
Subject: Conference on the occasion of Christian Klingenberg’s 70th birthday, Mar 2026
We are pleased to announce that registration for the conference "Hyperbolic
Problems: A Comprehensive Approach", held in Wuerzburg, Germany, from
Mar 23 to 27, 2026 on the occasion of Christian Klingenberg’s 70th birthday, is
now open on the website:
https://indico.math.cnrs.fr/e/comprehensive26
The organizers (Wasilij Barsukow, Simon Markfelder, Marlies Pirner, Fritz
Roepke, Emil Wiedemann)
-------------------------------------------------------
From: Scott MacLachlan smaclachlan@mun.ca
Date: November 23, 2025
Subject: 41st Colorado Conference on Iterative and Multigrid Methods, June 2026
After many successful Copper Mountain Conferences on Iterative and Multigrid
Methods, we have made the difficult decision that it is time to continue the
conference series in a new venue. Thus, it is with great pleasure that we
announce the 41st Colorado Conference on Iterative and Multigrid Methods, to
be held June 21-26, 2026 in Boulder, Colorado, on the CU Campus. We hope
to continue the many wonderful traditions of Copper Mountain, with a rich
technical problem, opportunities for informal discussion and work time
amongst the participants, and a focus on student and early career participants.
We are currently finalizing many details for the conference, and information
about participation, registration, and lodging will be forthcoming at
https://coloradoconference.github.io/2026/ . Expect student paper competition
deadlines in February, 2026, and abstract and registration deadlines in Spring,
2026. We look forward to welcoming you in Boulder!
Jed Brown, University of Colorado at Boulder
Rob Falgout, Lawrence Livermore National Laboratory
Scott MacLachlan, Memorial University of Newfoundland
Luke Olson, University of Illinois Urbana-Champaign
-------------------------------------------------------
From: Mariya Ptashnyk m.ptashnyk@hw.ac.uk
Date: November 21, 2025
Subject: SciCADE 2026 Research School, 22–26 June, 2026
Dear All,
I would like to put an announcement about the Research
Summer School, organised by Heriot-Watt University and University
of Edinburgh in conjunction with SciCADE 2026, that will take
place in Edinburgh, June 29-July 3, 2026.
The details are below and
the links is https://scicade.org/research-school.
SciCADE 2026
Research School 22–26 June, 2026
The SciCADE 2026 Research School
will take place June 22-26, 2026 in Edinburgh, UK, the week before
SciCADE 2026. Four excellent speakers will present a wide range of
topics: (1) Coralia Cartis (Oxford) on Optimization in Data
Science, (2) Nicola Guglielmi (Gran Sasso) on Eigenvalue
Optimization and Applications to Spectral Graph Clustering, (3)
Nikolay Malkin (Edinburgh) on Dynamics-Based Generative Modelling,
and (4) Joachim Schoeberl (Vienna) on Solving PDEs with Finite
Element Methods and the Open Source Software Package NGSolve.
The
details can be found on the SciCADE 2026 website https://
scicade.org/ and https://scicade.org/research-school.
The
application for the SciCADE Research School will open in January,
2026.
-------------------------------------------------------
From: Johannes Thürauf johannes.thuerauf@utn.de
Date: November 24, 2025
Subject: Deadline Approaching: PhD Position in Bilevel and Robust Optimization at UTN
Deadline Approaching: PhD Position in Bilevel and Robust Optimization at the
University of Technology Nuremberg (UTN)
The Discrete Optimization Lab (Prof. Johannes Thürauf) is currently offering a
fully funded doctoral research opportunity (3 years, 100%, TV-L E13) as part of
the interdisciplinary project “Strategic Resilience for Future Energy Systems”.
The successful candidate will conduct research in bilevel and robust
optimization, with a particular focus on the emerging area of robust bilevel
optimization.
Applications will be reviewed on a rolling basis. To receive full consideration,
please apply by 9.12.2025.
For more details about the position and the application process, please see the
official advertisement:
Doctoral researcher (Ph.D.) positions at UTN with the topic of Bilevel and
Robust Optimization (m/f/d) under
https://www.utn.de/karriere/angebote-fuer-promovierende/
If you have any questions regarding the position, please do not hesitate to
contact me at johannes.thuerauf@utn.de
-------------------------------------------------------
From: Martin Redmann martin.redmann@uni-rostock.de
Date: November 27, 2025
Subject: PhD Opportunity in SFB 1294: Data-based MOR for stochastic dynamics
The Collaborative Research Centre SFB 1294 “Data Assimilation”
offers an outstanding research environment, including a large
interdisciplinary network of researchers, its own graduate school,
and funding opportunities for conference travel, summer schools,
and visits by international experts. For more information, please
visit:
https://www.sfb1294.de/
We are currently seeking
applications for a doctoral position (75%, TV-L E13) within
subproject A07: “Data-based model order reduction for stochastic
dynamics”. The position will be based at the University of Rostock
and at the University of Potsdam.
This interdisciplinary project
lies at the interface of stochastic analysis (SDEs, rough paths)
and numerical analysis (model order reduction), with applications
in statistics and pharmacology. The detailed job advertisement with
deadline December 12, 2025 can be found here:
https://jobs.uni-
rostock.de/jobposting/2c8afaeda02a568f20db4543fe6d4fadefa70ab90?
ref=homepage
The successful candidate will be jointly supervised
by Prof. Dr. Martin Redmann (Rostock), Prof. Dr. Melina Freitag,
and Dr. Niklas Hartung (both Potsdam).
If you have any questions,
please contact: martin.redmann@uni-rostock.de
-------------------------------------------------------
From: Sandra May may@tu-berlin.de
Date: November 23, 2025
Subject: PhD Position in Numerical Methods for PDEs, TU Berlin, Germany
Dear colleagues,
TU Berlin invites applications for a PhD position in my group "Numerical
methods for PDEs". The position includes research and teaching, which is
compensated with a very competitive salary.
The successful candidate should already have some background in numerical
methods for PDEs (finite volume, finite element, or DG methods). Deadline is
Dec 05.
More information can be found here
https://www.jobs.tu-berlin.de/en/job-postings/199363
I would be grateful if you could share this announcement with potential
candidates.
Kind regards,
Sandra May.
-------------------------------------------------------
From: Elisa Riccietti elisa.riccietti@ens-lyon.fr
Date: November 24, 2025
Subject: Postdoc position in Numerical Optimization at ENS Lyon
Dear colleagues,
I am pleased to announce that applications are now invited for a postdoctoral
research position at ENS Lyon, France, within the MEPHISTO ANR "MEthods for
Parsimonious HIerarchically STructured Optimization". The research topics
include nonlinear optimization, physics informed neural networks, multilevel
optimization.
The position is for 18 months. The preferred starting date is as soon as possible
after the end of the hiring process, however a later starting date can be
discussed.
Detailed information about the position can be found on my website at the
following link:
https://perso.ens-lyon.fr/elisa.riccietti/doc/sujet_postdoc.pdf
To apply send an email to elisa.riccietti@ens-lyon.fr and nelly.pustelnik@ens-
lyon.fr.
Best regards,
Elisa Riccietti
-------------------------------------------------------
From: Giovanni Samaey giovanni.samaey@kuleuven.be
Date: November 21, 2025
Subject: Postdoc Position in Interacting Particle Methods for Bayesian Inversion at NUMA – KU Leuven
A postdoctoral position is available at NUMA, the Numerical
Analysis and Applied Mathematics section of the Department of
Computer Science, KU Leuven. NUMA consists of 12 permanent faculty
members and around 60 PhD and postdoctoral researchers working on
the development, analysis, and high-performance implementation of
numerical algorithms for large-scale problems in science and
engineering.
This position is related to a project dealing with
interacting particle methods for Bayesian inversion in PDE-governed
problems with high-dimensional or infinite-dimensional parameters.
The specific goal is to enhance the reliability of these methods by
explicitly incorporating model error into likelihood evaluations.
As a model application, the project will study parameter inference
in phenomenological models of cardiac electrophysiology. The work
will be carried out within an international team at NUMA and in
long-standing collaboration with the Department of Cardiovascular
Imaging and Dynamics at KU Leuven, where the developed methods will
be applied in cardiac-excitation simulations.
We are looking for a
researcher with a PhD in Mathematical Engineering, Applied
Mathematics, Computational Science, or a closely related field.
Required qualifications include a solid background in numerical
methods for differential equations, stochastic simulation and/or
optimization, and strong skills in scientific programming.
Experience with sampling methods for Bayesian inversion is highly
valued; experience with cardiac electrophysiology models is an
additional advantage. Excellent English communication skills (oral
and written) are expected.
We offer a stimulating, international
research environment with strong expertise in numerical analysis,
computational science, and interdisciplinary modeling. Funding is
secured for two years, with the possibility of a third year
depending on progress and available resources. The position comes
with a competitive salary, access to excellent computational
facilities, and support for scientific travel.
The application
deadline is February 28, 2026, but applications will be reviewed as
they arrive until the position is filled. Candidates are invited to
apply through the KU Leuven jobsite: https://www.kuleuven.be/
personeel/jobsite/jobs/60585255
-------------------------------------------------------
From: Hartwig Anzt hartwig.anzt@tum.de
Date: November 27, 2025
Subject: HPC cluster admin position
We are looking for a motivated full-time HPC cluster administrator at the TU
Munich Campus Heilbronn in Germany. Payscale TV-L E13 according to
German public institution payscale. This position carries the
option for PhD studies. Requirements: Expertise and experience in running GPU
clusters, Linux, Containers,hardware procurement, installation and networking.
Please send your CV to hartwig.anzt@tum.de.
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: November 26, 2025
Subject: Contents, AIMS New Article: ACSE Vol. 6, Art. 2
Advances in Computational Science and Engineering
Volume: 6, Art. 2
December 2025
https://www.aimsciences.org/ACSE/article/2025/6/0
Fourier spectral method for nonlocal equations on bounded domains
Ilyas Mustapha, Bacim Alali and Nathan Albin
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: November 26, 2025
Subject: Contents, AIMS New Article: AMMC Vol. 6, Art. 2
Applied Mathematics for Modern Challenges
Volume: 6, Art. 2
December 2025
https://www.aimsciences.org/AMMC/article/2025/6/0
A neural-network-free approach to signal reconstruction
An-Hsien Kao, Pu-Zhao Kow and Yueh-Cheng Kuo
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: November 26, 2025
Subject: Contents, AIMS New Volume: CPAA Vol. 25
Communications on Pure and Applied Analysis
Volume: 25
January 2026
https://www.aimsciences.org/cpaa/article/2026/25/0
Supercritical Schrödinger equations with vanishing potential and double
weighted nonlocal interaction
José Carlos de Albuquerque, José Luando Santos and Minbo Yang
The asymptotic stability of stratified solutions for the 3D Boussinesq equations
with damping mechanism
Lihua Dong
Existence, uniqueness, and asymptotic stability results for the 3-D Navier-Stokes
equations on multi-connected domains with time-dependent inhomogeneous
boundary conditions
Joel Avrin
Commutativity and null spaces of unbounded operators on Hilbert space
Richard Kadison, Simon Levin and Zhe Liu
On a Reaction-Diffusion System Describing Cell Interactions with a Medical Drug
Hong-Ming Yin
Read more articles here:
https://www.aimsciences.org/cpaa/article/2026/25/0
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: November 26, 2025
Subject: Contents, AIMS New Article: JMD Vol. 21, Art. 16
Journal of Modern Dynamics
Volume: 21, Art. 16
2025
https://www.aimsciences.org/jmd/article/2025/21/0
Connection points on double regular polygons
Julien Boulanger
-------------------------------------------------------
From: Zhaoxian Zhou Zhaoxian.Zhou@usm.edu
Date: November 24, 2025
Subject: Call for Papers: Special Issue on "Mathematical Methods in Machine Learning, Neural Networks, and Computer Vision"
Journal: Mathematics
Publisher: MDPI
Submission Deadline:
1/31/2026
Please see submission details at
https://www.mdpi.com/
journal/mathematics/special_issues/29NLYBSIVG
The journal
Mathematics is pleased to announce a special issue on Mathematical
Methods in Machine Learning, Neural Networks, and Computer Vision.
This issue aims to explore cutting-edge mathematical approaches and
algorithms that are advancing the fields of machine learning,
neural networks, and computer vision.
We invite researchers and
practitioners to submit original contributions that address both
theoretical and applied aspects of these areas, with a focus on how
mathematical methods are enhancing the capabilities of modern
algorithms.
Topics of Interest: We welcome submissions related to,
but not limited to, the following themes:
Mathematical foundations
of machine learning: Theoretical analysis of learning algorithms,
generalization, optimization, and complexity.
Neural networks:
Architecture design, training techniques, optimization methods, and
their mathematical underpinnings.
Deep learning: Advanced
mathematical approaches in deep neural networks, convolutional
neural networks (CNNs), recurrent neural networks (RNNs), and
transformers.
Computer vision: Mathematical models and algorithms
for image recognition, object detection, segmentation, and 3D
reconstruction.
Mathematical optimization techniques: Approaches
to training machine learning models, including gradient descent,
convex optimization, and non-convex optimization.
Statistical
learning theory: Connections between statistics and machine
learning algorithms, risk bounds, and consistency.
Graph theory
and network models: Applications of graph-based methods in machine
learning and computer vision.
Applications of machine learning and
computer vision: Real-world applications in fields such as
healthcare, robotics, autonomous systems, and augmented reality.
Submission Guidelines:
Submissions should present original
research or in-depth review articles that contribute to the
mathematical foundations and applications of machine learning,
neural networks, and computer vision.
All papers will undergo a
peer-review process.
Authors must format their manuscripts
according to the journal’s guidelines, available on the MDPI website.
-------------------------------------------------------
End of Digest
**************************