Today's Editor:
David S. Bindel
Cornell University
bindel@cornell.edu
Today's Topics:
Yale/UNC-CH - Geophysical Waveform Inversion Kaggle Competition
MFEM Version 4.8
Nordic Numerical Linear Algebra Workshop, Uppsala -- Aug 2025
SIAM Conference on Optimization, Edinburgh, June 2026
Open rank position in Applied Mathematics at ESILV-Nantes, France
Research position in Numerical Analysis at University of Catania, Italy
Post-doc position at the IRIT laboratory of Toulouse, France
Postdoc position in Numerical Analysis at the University of Osaka, Japan
Postdoc position, Numerical Analysis or Scientific Computing, Univ Innsbruck, Austria
Postdoc positions in Scientific Machine Learning, MOX - Politecnico di Milano, Italy
Doctoral and Postdoctoral Positions at Mathematics Münster, Germany
Doctoral position in Numerical Simulation at RPTU in Landau, Germany
PhD position, Numerical Analysis or Scientific Computing, Univ Innsbruck, Austria
PhD position, numerical methods for ice sheet modelling, Sweden
Contents, AIMS Communications on Pure and Applied Analysis, 15(3)
Contents, AIMS Communications on Pure and Applied Analysis, 24(8)
Contents, AIMS Mathematical Foundations of Computing, 8(4)
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/25/v25n15.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
-------------------------------------------------------
From: Youzuo Lin yzlin@unc.edu
Date: April 10, 2025
Subject: Yale/UNC-CH - Geophysical Waveform Inversion Kaggle Competition
Join the Yale/UNC-CH Geophysical Waveform Inversion Competition on
Kaggle where entrants will estimate subsurface properties—like
velocity maps—from on seismic waveform data. This competition
challenges you to bridge current gaps in seismic analysis by combining
physics and machine learning to advance full waveform
inversion. Success here could transform not only subsurface energy
exploration but also a wide range of applications, from medical
diagnostics to non-destructive material testing—anywhere precise
imaging matters.
+. Entry Deadline: June 23, 2025
+. Link: Geophysical Waveform Inversion Competition
(https://www.kaggle.com/competitions/waveform-inversion)
+. Prizes:
++. 1st Place - $12,000
++. 2nd Place - $10,000
++. 3rd Place - $10,000
++. 4th Place - $10,000
++. 5th Place - $8,000
-------------------------------------------------------
From: Tzanio Kolev kolev1@llnl.gov
Date: April 10, 2025
Subject: MFEM Version 4.8
Version 4.8 of MFEM, a lightweight, general, scalable C++ library for
finite element methods, is now available at: https://mfem.org.
The goal of MFEM is to enable high-performance scalable finite element
discretization research and application development on a wide variety
of platforms, ranging from laptops to exascale supercomputers.
Some of the new additions in version 4.8 are:
- High-order basis functions on pyramids.
- Parallel p- and hp-refinement on quad/hex meshes.
- Nonuniform anisotropic mesh refinement.
- General field interpolation on GPUs.
- SubMesh support on nonconforming meshes.
- Mesh optimization on periodic meshes.
- New GPU kernel dispatch mechanism.
- Improvements for hyperbolic problems.
- Proximal Galerkin-based eikonal example.
The MFEM library has many more features, including:
- 2D and 3D, arbitrary order H1, H(curl), H(div), L2, NURBS elements.
- State-of-the-art MPI scalability and GPU acceleration.
- Conforming/nonconforming adaptive mesh refinement (AMR), including
anisotropic refinement, derefinement and parallel load balancing.
- Galerkin, mixed, isogeometric, discontinuous Galerkin, hybridized,
and DPG discretizations.
- Support for triangular, quadrilateral, tetrahedral and hexahedral
elements, including arbitrary order curvilinear meshes.
- Scalable algebraic multigrid, time integrators, and eigensolvers.
- Interactive OpenGL visualization with the MFEM-based GLVis tool.
MFEM is being developed in CASC, LLNL and is freely available under
a BSD license. For more details, see the interactive documentation
and the full CHANGELOG at https://github.com/mfem/mfem.
-------------------------------------------------------
From: Roman Iakymchuk roman.iakymchuk@it.uu.se
Date: April 09, 2025
Subject: Nordic Numerical Linear Algebra Workshop, Uppsala -- Aug 2025
We are pleased to announce that the fourth Nordic Numerical Linear
Algebra workshop will be held at Uppsala University, Sweden on August
19-20, 2025. The workshop is devoted to all aspects of applied and
numerical linear algebra, spanning theory, analysis, computation and
methods to specific research areas in applications as well as
mathematical software.
Invited speakers:
- Michele Benzi, Scuola Normale Superiore, Italy
- Erna Begović Kovač, University of Zagreb, Croatia
- Jörn Zimmerling, Uppsala University, Sweden
We warmly encourage contributions for talks and would greatly
appreciate your participation.
Attendance is free. Please register by June 10, 2025 at
http://nordic-nla.eu/uppsala-meeting-2025/
We look forward to welcoming you to the Nordic NLA workshop!
Organizers: Roman Iakymchuk, Sven-Erik Ekström, Elias Jarlebring
-------------------------------------------------------
From: John Pearson j.pearson@ed.ac.uk
Date: April 09, 2025
Subject: SIAM Conference on Optimization, Edinburgh, June 2026
We invite you to join us for the SIAM Conference on Optimization (OP26) in
Edinburgh (https://www.siam.org/conferences-events/siam-
conferences/op26/).
**June 2-5 2026, University of Edinburgh, UK**
Submissions open: Late August 2025
The SIAM Conference on Optimization is the conference of the SIAM
Activity Group on Optimization
(https://siagoptimization.github.io/).
The SIAM Conference on Optimization showcases the latest research in
the theory, algorithms, software, and applications of optimization. It
brings together mathematicians, operations researchers, computer
scientists, engineers, software developers, and practitioners,
fostering an ideal environment for exchanging new ideas and addressing
significant challenges.
**Invited presentations**
Radu Ioan Bot, University of Vienna, Austria
Andrea Lodi, Cornell Tech University, U.S.
Ruth Misener, Imperial College London, UK
Laura Sanità, Bocconi University, Italy
Ruoyu Sun, Chinese University of Hong Kong, China
Stefan M. Wild, Lawrence Berkeley National Laboratory, U.S.
**Minitutorials**
***Performance and computer-aided analyses of optimization methods**
François Glineur, UCLouvain, Belgium
Adrien B. Taylor, INRIA, France
***Fair and interpretable resource allocation and machine learning**
Phebe Vayanos, University of Southern California, U.S.
**Organizing committee co-chairs**
Miguel Anjos, University of Edinburgh, UK
Gabriele Eichfelder, Technische Universität Ilmenau, Germany
Luis Nunes Vicente, Lehigh University, U.S.
**Local Organizing committee co-chairs**
Lars Schewe, University of Edinburgh, UK
Miguel Anjos, University of Edinburgh, UK
-------------------------------------------------------
From: Saad Benjelloun saad.benjelloun@devinci.fr
Date: April 11, 2025
Subject: Open rank position in Applied Mathematics at ESILV-Nantes, France
The department of Mathematics at ESILV engineering school (Paris,
Nantes and Montpelier, France) invites applications for an open rank
professorship in Applied Mathematics at Nantes. This includes
analysis, scientific computing and artificial inteligence, numerical
optimisation and machine learning, computational fluid dynamics,
mathematical biology, mathematical physics, etc.
The position is based at ESILV-Nantes. We are seeking candidates with
a competitive research track record, with a demonstrated potential for
scientific excellence and leadership.
The teaching duties will be spread across the entire curriculum
(Grandes Ecoles and Bachelor level) in the following areas: Algebra /
Linear Algebra, Analysis / Numerical Analysis, Probability /
Statistics.
Submit your application, before april 30th, on our application platform:
https://www.devinci.fr/carrieres/FL423648/
- Detailed CV : Publications, persperctive for research and
collaborations within DeVinci Research Center, obtained research
fundings, etc.
- Contact for academic references
-------------------------------------------------------
From: Armando Coco armando.coco@unict.it
Date: April 05, 2025
Subject: Research position in Numerical Analysis at University of Catania, Italy
The Istituto Nazionale di Alta Matematica “Francesco Severi” announces
a call for a research position in Numerical Analysis at University of
Catania. The project will focus on the modeling, analysis, and
numerical simulation of systems described by partial differential
equations (PDEs) of evolutionary type in complex geometries, including
moving domains. The spatial discretization uses finite difference
methods or finite element methods with ghost point elements, applied
to a regular square grid in 2D or 3D. The moving domain is represented
via a level set function, which can either be a known function of
space and time (one-way coupling) or an unknown function (two-way
coupling). The research group in Numerical Analysis at University of
Catania is led by Prof. Giovanni Russo.
The ideal candidate should possess the following qualifications:
- Proficiency in at least one scientific computing programming
language (Matlab, Python, Julia, Fortran).
- Strong understanding of numerical integration methods for ordinary
differential equations.
- Knowledge of key methods for spatial discretization of PDEs.
- Familiarity with models governed by systems of PDEs.
Position Details:
Duration: 2 years
Salary: €40,000 per year before tax
Deadline to apply: 17 April 2025
Link of the call and infos on how to apply:
https://www.altamatematica.it/wp-content/uploads/2025/04/Avviso_1_-Contratto-di-Ricerca_GNCS-signed.pdf
-------------------------------------------------------
From: Alfredo Buttari alfredo.buttari@irit.fr
Date: April 08, 2025
Subject: Post-doc position at the IRIT laboratory of Toulouse, France
dealiiX (https://www.dealii-x.eu/) is a pioneering European project
aimed at developing a scalable, high-performance computational
platform using the deal.II library to create accurate digital twins of
human organs, with emphasis on the human brain.
This framework will leverage exascale computing capabilities and
existing lighthouse applications to simulate complex biological
processes in real- time, aiding in personalized medicine and advancing
the diagnosis and treatment strategies of neurological disorders.
To achieve these objectives, the deal.II software must rely on robust
and efficient numerical linear algebra algorithms and software for the
solution of large-scale, often poorly conditioned, sparse linear
systems. Work package 1.5 of the dealiiX is concerned with the
integration of the MUMPS sparse direct solver
(https://mumps-solver.org) within the deal.II package. Two use cases
are envisioned. First an indirect use of MUMPS as a coarse solver
within a multigrid method provided by the PSCTOOLKIT package. Second a
direct use of MUMPS for the solution of the most numerically
challenging problems produced by deal.II. In both cases the use of the
most advanced and modern features of the MUMPS solver must be
investigated and, if necessary, adapted to the needs of the project.
In this context we are seeking for a 18-months post-doc at the IRIT
laboratory of Toulouse, in France. Her/his mission will be to
integrate the MUMPS solver within the deal.II package and to
investigate its combined use within a multigrid solver or as a direct
solver for numerically difficult problems. Modern MUMPS features such
as GPU support and low-rank approximations will also be evaluated on
the problems produced in digital twins of human organs. In this
context, the use of mixed-precision algorithms relying on the MUMPS
solver can also be investigated in order to further improve the
performance and the memory consumption. The candidate must possess:
- A good understanding of parallel linear algebra algorithms and
software
- A good knowledge of the C++ programming language and of common
parallel programming APIs such as MPI and OpenMP
Some knowledge of the Fortran programming language would also be
appreciated
The post-doc will be located at the IRIT laboratory of Toulouse, in
the facilities of the ENSEEIHT engineering school, but will be
characterised by a strong collaboration with the Mumps Technologies
company, based in Lyon, which develops the MUMPS solver, and with the
LIP6 laboratory of Paris.
The gross salary is between 3500€ and 4000€ (respectively, 2800€ and
3200€ net) per month depending on the experience of the candidate.
Interested candidates can present their application at
alfredo.buttari@irit.fr
-------------------------------------------------------
From: Yuto Miyatake yuto.miyatake.cmc@osaka-u.ac.jp
Date: April 11, 2025
Subject: Postdoc position in Numerical Analysis at the University of Osaka, Japan
A postdoctoral position is available in the research group of Dr Yuto
Miyatake at the D3 Center, the University of Osaka, Japan [1]. We are
seeking a postdoctoral researcher to contribute to the following
research areas:
* Development of structure-preserving algorithms for partial
differential equations arising in fusion science
* Development of methods for quantifying the reliability of numerical
computations
Qualifications:
* A PhD in mathematics, statistics, computer science, physics or a
related field.
* Research experience in one or more of the following areas: partial
differential equations, geometric numerical integration,
probabilistic numerics, or computational uncertainty quantification.
* Programming skills in Julia or Python
* Interest in machine learning
The successful candidate will join Dr Miyatake's research group and
also participate in research activities related to the Moonshot R&D
program “Backcasting digital system by super-dimensional state
engineering” [2]. The salary will be 5,003,400 JPY or more per year
(before tax). The position is initially available until 31 March 2026,
with the possibility of extension up to 31 March 2030, depending on
the candidate’s performance and availability of funding.
To apply, please send the following documents to Dr. Yuto Miyatake via
email (yuto.miyatake.cmc@osaka-u.ac.jp):
* CV including a list of publications
* One-page research statement
* Contact information of at least one reference
[1] https://www.d3c.osaka-u.ac.jp/en/
[2] https://www.jst.go.jp/moonshot/en/program/goal10/A3_hoshi.html
-------------------------------------------------------
From: Heiko Gimperlein heiko.gimperlein@uibk.ac.at
Date: April 07, 2025
Subject: Postdoc position, Numerical Analysis or Scientific Computing, Univ Innsbruck, Austria
Applications are invited a long-term postdoctoral position (4 or 6
years) at the University of Innsbruck in applied and computational
mathematics in the following areas: numerical analysis of partial
differential equations, scientific computing and applications in the
natural and computer sciences.
The successful candidate will contribute to the research and teaching
activities of the group in engineering mathematics:
https://mat1.uibk.ac.at/heiko .
A strong background and excellent track record of accomplishments is
expected in numerical analysis, scientific computing or an application
area. The successful candidates are expected to start at a mutually
agreed date in 2025/2026. Candidates must have obtained a PhD in
mathematics or a related subject preceding the start date of
appointment.
For details please contact Heiko Gimperlein
(heiko.gimperlein@uibk.ac.at).
-------------------------------------------------------
From: Francesco Regazzoni francesco.regazzoni@polimi.it
Date: April 05, 2025
Subject: Postdoc positions in Scientific Machine Learning, MOX - Politecnico di Milano, Italy
Postdoctoral positions at MOX Laboratory, Dipartimento di Matematica,
Politecnico di Milano (Italy), funded by the FIS (Italian Science
Fund) Starting Grant (1.3 M€, P.I. Francesco Regazzoni) “SYNERGIZE:
Synergizing Numerical Methods and Machine Learning for a new
generation of computational models.”
The successful candidates will contribute to the development of novel
methodologies at the intersection of Numerical Analysis and Machine
Learning. The research aims to:
- Bridge Numerical Methods and Machine Learning to create reliable methods
integrating physics with data while maintaining theoretical soundness.
- Design efficient solvers for differential problems to reduce
computational costs and environmental impact.
- Enhance the reliability, interpretability, and applicability of
Machine Learning in Scientific Computing.
A strong background in Computational Sciences or Scientific Machine
Learning is required. Candidates should have a Ph.D. in Applied
Mathematics or a related field. Duration: 24-36 months
Contact: Francesco Regazzoni (francesco.regazzoni@polimi.it) for more
information.
-------------------------------------------------------
From: Julia Schleuß mm.applications@uni-muenster.de
Date: April 04, 2025
Subject: Doctoral and Postdoctoral Positions at Mathematics Münster, Germany
Be part of Mathematics Münster!
The Cluster of Excellence Mathematics Münster: Dynamics - Geometry -
Structure at the University of Münster, Germany invites applications
for doctoral and postdoctoral positions in all mathematical fields
related to the work being undertaken at Mathematics Münster.
*Doctoral positions*
Kickstart your scientific journey and benefit from the amenities of
the Cluster of Excellence and the Mathematics Münster Graduate School,
including funding for conference travel, summer schools, or
co-organizing academic events, and participate in numerous networking
opportunities. We offer fully funded doctoral positions (75% FTE,
salary level E13 TV-L) for three years.
*Ada Lovelace Fellowships*
Supplement your doctoral position with the Ada Lovelace Fellowship and
contribute to gender diversity in mathematics. Fellowships include a
25% E13 TV-L add-on position.
*Postdoc positions*
Establish your own research profile in our stimulating environment and
benefit from the amenities of the Cluster of Excellence, including
funding for conference travel, hosting guest researchers, and
organizing academic events. We offer full positions (100% FTE, salary
level E13 TV-L) for three years.
*Young Research Group*
Team up as a Young Research Group, consisting of two to three
postdocs, and work jointly for four years on an independent project
relevant to the research programme of Mathematics Münster. We offer
full positions (100% FTE, salary level E13 TV-L) for four years.
All information and the online application forms are available at
https://www.uni-muenster.de/MathematicsMuenster/careers/join/apply.shtml
Application deadline 1 May 2025.
-------------------------------------------------------
From: Dr. Stephan Schmitz stephan.schmitz@rptu.de
Date: April 10, 2025
Subject: Doctoral position in Numerical Simulation at RPTU in Landau, Germany
The Department of Numerical Simulation at the Rheinland-Pfälzische
Technische Universität Kaiserslautern-Landau offers a doctoral
position in Landau (65% part time) limited to three years.
The research of the department is devoted to the development of
mathematical simulation models with focus on fluid dynamics with
applications to medicine (hemodynamics) or environmental sciences. It
is expected that applicants participate in this research and work
towards a PhD.
The position comes with a teaching load in the mathematical area of
the teacher training program.
Fluent communication skills in English and German are required.
The full text of the offer (in German) and the online-application-form
can be found at
https://jobs.rptu.de/jobposting/f5c1e459af43a0cd911a88cd3137caea8d1d4ce70
The deadline for the application is April 20th, 2025.
-------------------------------------------------------
From: Heiko Gimperlein heiko.gimperlein@uibk.ac.at
Date: April 07, 2025
Subject: PhD position, Numerical Analysis or Scientific Computing, Univ Innsbruck, Austria
Applications are invited a long-term postdoctoral position (4 or 6
years) at the University of Innsbruck in applied and computational
mathematics in the following areas: numerical analysis of partial
differential equations, scientific computing and applications in the
natural and computer sciences.
The successful candidate will contribute to the research and teaching
activities of the group in engineering mathematics:
https://mat1.uibk.ac.at/heiko .
A strong background and excellent track record of accomplishments is
expected in numerical analysis, scientific computing or an application
area. The successful candidates are expected to start at a mutually
agreed date in 2025/2026. Candidates must have obtained a PhD in
mathematics or a related subject preceding the start date of
appointment.
For details please contact Heiko Gimperlein
(heiko.gimperlein@uibk.ac.at).
-------------------------------------------------------
From: Josefin Ahlkrona ahlkrona@math.su.se
Date: April 07, 2025
Subject: PhD position, numerical methods for ice sheet modelling, Sweden
We are hiring PhD students in Computational Mathematics at Stockholm
University. There are several possible projects of which one is on
numerical methods for ice sheet modelling. In our group, we model ice
sheets by solving the p-Stokes equations coupled to a free surface
evolution equation, using finite elements.
https://su.varbi.com/en/what:job/jobID:807359/where:4/
Application deadline: April 22
If you are a student interested in doing a PhD with me on ice sheet
modelling please specify clearly that you want me as an advisor in
your application (e.g. in your cover letter). Please don't hesitate to
contact me if you have any questions.
-------------------------------------------------------
From: Charley Denton charleycdenton@gmail.com
Date: April 10, 2025
Subject: Contents, AIMS Communications on Pure and Applied Analysis, 15(3)
Mathematical Control and Related Fields
September 2025, Vol. 15, No. 3
https://www.aimsciences.org/mcrf/article/2025/15/3
Cross-invariant manifolds and instability of the standing waves for a
coupled Schrödinger system
Xinlu Zhou and Jian Zhang
Stabilization of the Kawahara equation with saturated internal or
boundary feedback controls
Subrata Majumdar and Hugo Parada
Model predictive control strategies using consensus-based optimization
Giacomo Borghi and Michael Herty
Robustness characterizations of continuous-time equal-correlation
investment strategy
Guangyan Jia and Mengjin Zhao
Regional fractional output stabilization of Caputo time-fractional
bilinear distributed systems
Rachid Larhrissi and Mustapha Benoudi
Sampled-data based adaptive mean field games for leader-follower
stochastic multi-agent systems
Yan Chen, Tao Li and Nan Qiao
Read more articles here:
https://www.aimsciences.org/mcrf/article/2025/15/3
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: April 04, 2025
Subject: Contents, AIMS Communications on Pure and Applied Analysis, 24(8)
Communications on Pure and Applied Analysis
August 2025, Vol. 24, No. 8
https://www.aimsciences.org/cpaa/article/2025/24/8
Global existence and convergence rates of classical solutions to the
isentropic Euler/non-isentropic Euler equations with damping
Weihua Wang, Qin Wang and Hanchun Yang
A system of continuity equations with nonlocal interactions of Morse
type
Marco Di Francesco and Valeria Iorio
A new blowup criterion to the compressible Oldroyd-B model
Peirong Wang, Jing Li and Sili Liu
Wong-Zakai approximations and random attractors for non-autonomous
stochastic discrete modified Swift-Hohenberg equations
Wei Feng, Pengyu Chen and Yongxiang Li
The optimal hole for the best Hölder extension
Samer Dweik
Pullback asymptotic behavior and statistical solutions for lattice
Klein-Gordon- Schrödinger equations with varying coefficient
Caidi Zhao, Rong Zhuang and Tomás Caraballo
Read more articles here:
https://www.aimsciences.org/cpaa/article/2025/24/8
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: April 04, 2025
Subject: Contents, AIMS Mathematical Foundations of Computing, 8(4)
Mathematical Foundations of Computing
August 2025, Vol. 8, No. 4
https://www.aimsciences.org/mfc/article/2025/8/4
Preface
Hemen Dutta and James F. Peters
Deferred statistical boundedness on time scales
Pallav Bhattarai and Hemen Dutta
On extended k-generalized Mittag-Leffler function and its properties
Shilpi Jain, B.B. Jaimini, Meenu Buri and Praveen Agarwal
Topological and geometric properties of some new sequence spaces of
generalized difference operator
Naim L. Braha, Mikail Et, Murat Karakas and Mohammad Mursaleen
Ideal convergence in modified IFNS and L-fuzzy normed space
Vakeel A. Khan, Mikail Et and Izhar Ali Khan
Locally dually flatness properties in cubic (α,β)-Metric
Brijesh Kumar Tripathi, V. K. Chaubey and Dhruvisha Patel
Second-OrderHermitian–Toeplitz Determinants for the classes of
Sakaguchi Convex and Starlike functions
Sushil Kumar, Rakesh Kumar Pandey and Pratima Rai
Read more articles here:
https://www.aimsciences.org/mfc/article/2025/8/4
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End of Digest
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