From: Alex Townsend Date: Fri, 21 Aug 2026 05:15:53 -0400 Subject: NA Digest, V. 26, # 34 To: NA-DIGEST-L@lists.cornell.edu NA Digest Friday, August 21, 2026 Volume 26 : Issue 34 Today's Editor: Alex Townsend Cornell University townsend@cornell.edu Today's Topics: The deal.II library version 9.8 released New software: pure-Python 2D FEM capacitor solver Second International Conference on Approximation Theory and Applications Call for Abstracts: International Conference (CMMAI 2026) PhD/Postdoc positions, Computational Physics and Biofluid Mechanics, UPC, Barcelona PhD position: Kernel Methods for Randomised Numerical Linear Algebra PhD position in Numerical Analysis at the University of Leeds Two postdoctoral positions in the Mathematical and Computational Foundations of Artificial Intelligence Postdoctoral Research Positions (Ref. 26/13) at the Weierstrass Institute in Berlin Junior professorship (tenure track) in Numerical Mathematics, TU Braunschweig, Germany See this issue of NA Digest on the web at: https://na-digest.coecis.cornell.edu/na-digest-html/26/v26n34.html Submissions, FAQs, and archives: https://na-digest.coecis.cornell.edu/ ------------------------------------------------------- From: Timo Heister heister@clemson.edu Date: August 20, 2026 Subject: The deal.II library version 9.8 released Version 9.8.0 of deal.II, the object-oriented finite element library awarded the J. H. Wilkinson Prize for Numerical Software and the 2025 SIAM/ACM Prize in Computational Science and Engineering, has been released. It is available for free under an Open Source license from the deal.II homepage at https://www.dealii.org/ - Substantially extended support for meshes that contain triangles, tetrahedra, wedges, and pyramids - Improved support for and performance on GPUs - Support for newer versions of Trilinos that build on Tpetra - Much extended interfaces to the VTK and SUNDIALS libraries - A lot of work on reducing memory allocations to improve performance - Continued evolution alongside newer C++ standards - A substantial number of new tutorial and code gallery programs More information about changes can be found in the release preprint at https://www.dealii.org/deal98-preprint.pdf. The main features of deal.II are: - Extensive documentation and 88 working example programs - Support for dimension-independent programming - Locally refined adaptive meshes and multigrid support - A zoo of different finite elements - Built-in support for shared memory and distributed parallel computing, scaling from laptops to clusters with 300,000+ processor cores - Interfaces to Trilinos, PETSc, SUNDIALS, UMFPACK and many other external software packages - Input and output for a wide variety of meshing and visualization platforms. ------------------------------------------------------- From: Ralf Becker ratwolf.zero@gmail.com Date: August 18, 2026 Subject: New software: pure-Python 2D FEM capacitor solver capacitor-fem is a self-contained 2-D finite-element electrostatics solver written in pure NumPy/SciPy/Matplotlib (no mesh generators or compiled extensions). It computes potential, electric field, stored energy and capacitance for parallel-plate, coaxial and arbitrary CSG geometries (rectangles, rounded rectangles, circles, Boolean combinations). Features: - Structured (optionally graded) triangular mesh - Energy-based capacitance extraction - Optional rounded plate edges - Machine-precision validation on the exact parallel-plate case - Runs on desktop, Jupyter and Android (Pydroid) Open-source under the MIT license. Source and documentation: https://github.com/ratwolfzero/Capacitor_FEM ------------------------------------------------------- From: Stefano De Marchi stefano.demarchi@unipd.it Date: August 16, 2026 Subject: Second International Conference on Approximation Theory and Applications II International Conference on Approximation Theory and Applications -- Gaeta, Italy | 14–18 September 2026 We are pleased to announce the II International Conference on Approximation Theory and Applications, organized within the activities of the U.M.I. Working Group "Teoria dell’Approssimazione e Applicazioni" (UMI–TAA). Hotel Serapo, Gaeta, Italy 14–18 September 2026 Plenary lectures: Ana-Maria Acu -- University of Sibiu *Approximation, shape preservation and image reconstruction by neural network operators* Wolfgang Dahmen -- University of South Carolina *Operator Learning and Inverse Problems* Gitta Kutyniok -- LMU Munich *Expressivity, Stability, and Sustainability of Spiking Neural Networks* Demetrio Labate -- University of Houston *Manifold learning via Fréchet maps* ([umi-taa.sites.dmi.unipg.it][2]) The program also features contributed talks, a poster session, lectures by the UMI-TAA Prize winners, and a Best Poster Prize. Registration is still open until 12 September 2026. [Conference website and registration] (https://umi-taa.sites.dmi.unipg.it/gaeta/) We warmly invite colleagues, young researchers, PhD students, and everyone interested in approximation theory, numerical analysis, machine learning, and related applications to join us in Gaeta this September. Please share this announcement with colleagues and interested research groups. ------------------------------------------------------- From: Lakshmi C cmmai2026@bharatamatacollege.in Date: August 16, 2026 Subject: Call for Abstracts: International Conference (CMMAI 2026) The Postgraduate and Research Department of Mathematics, Bharata Mata College, Thrikkakara, Ernakulam, Kerala, India is pleased to invite researchers, faculty members, and industry experts to submit original, previously unpublished research abstracts for the International Conference on Computational Mathematics, Modeling and Artificial Intelligence (CMMAI 2026). Abstract Submission Deadline: 25 August 2026 (Extended) Notification of Acceptance: 27 August 2026 Registration Deadline: 31 August 2026 Publication Opportunity: Selected papers may be considered for publication in the Springer Proceedings in Mathematics and Statistics (PROMS) series, subject to peer review and publisher approval Submit your Abstract: https://forms.gle/q2txqyNyemcRWooj8 Register for the Conference: https://forms.gle/befCZLcaTzYgymEC8 Venue: Bharata Mata College (Autonomous), Thrikkakara Conference Website: cmmai2026.bharatamatacollege.in ------------------------------------------------------- From: Eric Neiva eric.neiva@upc.edu Date: August 17, 2026 Subject: PhD/Postdoc positions, Computational Physics and Biofluid Mechanics, UPC, Barcelona The newly-formed research group in Computational Physics and Biofluid Mechanics (CoPhyBiM) at the Universitat Politècnica de Catalunya (Barcelona) invites applications for PhD and postdoctoral positions in multiscale modelling of atherosclerosis progression driven by environmental factors. The PhD or postdoctoral researcher will join the ADHERE project, funded by the Spanish State Research Agency (AEI). ADHERE develops next- generation computational methods to investigate how environmental factors influence the progression of atherosclerosis, combining mathematical modelling with experimental and clinical research. For further information and application instructions, please visit: https://ericneiva.com/call-for-eois-for-adhere-project.html Please send your questions to biofluids@mylist.upc.edu Applications received by 30 September 2026 will receive full consideration. ------------------------------------------------------- From: Nick Polydorides npolydor@ed.ac.uk Date: August 18, 2026 Subject: PhD position: Kernel Methods for Randomised Numerical Linear Algebra Randomised Numerical Linear Algebra (RNLA) underpins scalable algorithms for large-scale matrix computations, including least-squares regression, low-rank approximation, and subspace embedding. Central to these methods is constructing subsampling distributions such as those based on statistical leverage scores, that preserve matrix geometry. However, computing or approximating these distributions efficiently and reliably at scale when exact scores are prohibitively expensive remains a major computational bottleneck. This project - to start Fall 2027 - will investigate novel connections between RNLA subsampling and kernel-based distribution approximation to develop new theoretical foundations and practical algorithms for constructing compact, representative matrix sketches. Depending on candidate strengths and interest, the research offers scope for both rigorous theoretical contributions such as establishing formal guarantees relating sketch quality to downstream algorithm performance, and computational implementation on large-scale problems. Sitting at the intersection of numerical linear algebra, approximation theory, and kernel methods, this project advances the foundational algorithms powering modern large-scale data analysis and scientific computing. It is ideal for candidates in Applied Mathematics, Theoretical Computer Science, or Quantitative Engineering with a solid background in linear algebra and probability. Familiarity with randomised algorithms or functional analysis is desirable but optional. Interested applicants should contact npolydor@ed.ac.uk before January 2027 to discuss funding options. ------------------------------------------------------- From: Massimiliano Fasi m.fasi@leeds.ac.uk Date: August 20, 2026 Subject: PhD position in Numerical Analysis at the University of Leeds The School of Computer Science at the University of Leeds invites applications for a fully funded PhD position in numerical analysis. The project aims to design and analyse mixed-precision algorithms for solving linear algebra problems on exascale architectures. Applicants should have a background in numerical analysis, scientific computing, or a related field. Programming experience in a scientific computing environment is desirable. The successful candidate will develop expertise in numerical linear algebra and high-performance computing. The position is fully funded and is open to international applicants. For further details and to apply, please visit: https://tinyurl.com/leeds-mixed-precision-nla-2026 ------------------------------------------------------- From: Coralia Cartis coralia.cartis@maths.ox.ac.uk Date: August 15, 2026 Subject: Two postdoctoral positions in the Mathematical and Computational Foundations of Artificial Intelligence We invite applications for a Postdoctoral Research Associate (PDRA) to join the EPSRC Hub on the Mathematical and Computational Foundations of Artificial Intelligence. Applicants are expected to have published in leading machine learning conferences or similar venues. One or two PDRAs will be recruited to work within one of, or across, the four research themes: Learning with Structured & Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning through Stochastic Control. There are two two-year, fixed-term positions, funded by a research grant from the EPSRC and the Mathematical Institute, and one will have emphasis on optimization aspects of the above themes. The start date for this post is flexible. The successful candidate will be expected to conduct research which falls within the remit of this large-scale project and will have the opportunity to do so collaboratively with other members of the hub, both at Oxford and/or with hub partners which include universities as well as companies and governmental organisations. For more details on these positions and how to apply, see: https://www.maths.ox.ac.uk/node/82115 Closing date: 12.00 PM UK time on Monday, 14 September 2026. Please note that reference letters must also be received by this date. ------------------------------------------------------- From: Weierstrass Institute hr@wias-berlin.de Date: August 20, 2026 Subject: Postdoctoral Research Positions (Ref. 26/13) at the Weierstrass Institute in Berlin The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) invites applications for three Postdoctoral Research Positions (f/m/d) (Ref. 26/13) in the Research Group "Data-Driven Mathematical Modeling" (Head: Prof. Dr. Clemens Heitzinger) to be filled at the earliest possible date. This position offers the opportunity for independent scientific research aimed at advancing your own academic qualifications. Key Areas of Focus: A successful candidate will contribute to research in reinforcement learning and data-driven mathematical modeling regarding theoretical foundations and/or scientifically significant applications. For further information: https://www.diversityinresearch.careers/job/1972030/postdoctoral-research-position-f-m-d-ref-26-13-/ Please direct scientific queries to Prof. Dr. Clemens Heitzinger (clemens.heitzinger@wias-berlin.de). ------------------------------------------------------- From: Christian Kirches c.kirches@tu-bs.de Date: August 18, 2026 Subject: Junior professorship (tenure track) in Numerical Mathematics, TU Braunschweig, Germany We invite applications for a junior professorship (salary level W1) in Numerical Mathematics at Technical University of Braunschweig, Germany. The position is tenure-track, with progression to Associate Professor (salary level W2) after six years, subject to a successful tenure review. For more details on the position and how to apply, please see: https://vacancies.tu-braunschweig.de/jobposting/50be7f00430af98e0ec03f99b981a7b4994db037 Closing date: August 31, 2026, 12.00 PM CEST. ------------------------------------------------------- End of Digest **************************