From bounce-5354493-88629717@mm.list.cornell.edu Fri Jan 09 08:35:49 2026 From: "Alex John Townsend" Subject: NA Digest, V. 26, # 2 Date: Fri, 09 Jan 2026 08:34:08 -0500 NA Digest Friday, January 09, 2026 Volume 26 : Issue 2 Today's Editor: Alex Townsend Cornell University townsend@cornell.edu Today's Topics: Call for Nominations: Rising Stars in Computational & Data Sciences, April 2026 Software Release, FSML -- Fortran Statistics and Machine Learning PSBLAS 3.9.0 and AMG4PSBLAS 1.2.0 New Book, Quantum Algorithms for Optimizers Call for Applications - Simula Summer School in Computational Physiology Invitation to talk by Prof. Oskay (Vanderbilt) -- Jan. 22, 2-3PM EST Solving PDEs with Firedrake, Oxford, Mar 2026 Hackathon: Data Assimilation in Firedrake, 8-10 April 2026, RAL UK 9 PhD positions. Chalmers and University of Gothenburg, Sweden PhD position, Dept. of Mathematics, University of Bergen, Norway PhD Opportunity in Mathematical Optimisation at The University of Queensland (Australia) PhD Opportunity in Numerical Analysis or Scientific Computing, University of Leeds PhD opportunity in Bayesian Computational Mathematics, Linköping University, Sweden PhD and Postdoc postions in Data Assimilation at University of Potsdam Postdoc position in Numerical Simulation for Lattice QCD at Wuppertal University Postdoctoral positions at Gran Sasso Science Institute, Italy Assistant Professor position at Heriot-Watt University, Edinburgh Contents, AIMS New Articles: JMD Vol. 21, Art. 20-22 Contents, Electronic Transactions on Numerical Analysis (ETNA) See this issue of NA Digest on the web at: https://na-digest.coecis.cornell.edu/na-digest-html/26/v26n2.html Submissions, FAQs, and archives: https://na-digest.coecis.cornell.edu/ ------------------------------------------------------- From: Jim Stewart jrstewa@sandia.gov Date: January 08, 2026 Subject: Call for Nominations: Rising Stars in Computational & Data Sciences, April 2026 We are seeking nominations for the 2026 Rising Stars in Computational & Data Sciences Workshop to be held April 7-8, 2026, at the Santa Fe Institute in Santa Fe, NM. Rising Stars is an intensive workshop for graduate students and postdocs who are interested in pursuing academic and research careers. Nominees must be in their final year of PhD or within three years of having graduated and not yet in a tenure-track faculty or permanent staff position. Approximately 30 participants will be selected to come for two days of research presentations and interactive discussions about academic and research careers, with financial support for travel provided. Nominees are considered based on their technical merit, and their technical and service leadership. Nominations require (1) a letter of nomination and (2) the nominee's two-page resume. Nominations are due January 30, 2026 and should be submitted at: https://app.smartsheet.com/b/form/019b37488a617a64a42d102a41da308e. For questions, please see our FAQS linked on our website (https://risingstars.oden.utexas.edu) or contact the Rising Stars Administrator at rs_admin@oden.utexas.edu. ------------------------------------------------------- From: Sebastian Gerhard Mutz sebastian@mutz.science Date: January 07, 2026 Subject: Software Release, FSML -- Fortran Statistics and Machine Learning I'm pleased to announce the first (alpha) release of FSML v0.1.0 -- a modern Fortran Statistics and Machine Learning library suitable for research, teaching, and parallel applications. Summary FSML includes procedures for basic statistics, statistical hypothesis tests, statistical distributions functions, linear and non-linear methods. Most core procedures are pure with no side effects, making them suitable for parallel applications. Code, Documentation, and Resources - The code is MIT licensed and hosted on GitHub: https://github.com/sebastian-mutz/fsml - Its documentation includes a handbook and example-rich API documentation: https://fsml.mutz.science/ - The associated paper was published in the Journal of Open Source Software: https://doi.org/10.21105/joss.09058 - This blog post provides more context, notes on design choices, and where it fits into the Fortran statistics and machine learning ecosystem: https://sebastianmutz.eu/blog/posts/2025-12-20/ I hope some of you find the library useful and warmly welcome any feedback, questions, suggestions, or contributions. ------------------------------------------------------- From: Fabio Durastante fabio.durastante@unipi.it Date: January 09, 2026 Subject: PSBLAS 3.9.0 and AMG4PSBLAS 1.2.0 We announce new versions of PSCToolkit's core components. PSBLAS (Parallel Sparse BLAS) is a distributed sparse linear algebra library providing scalable support for parallel sparse matrix operations, iterative solvers, and HPC environments. Highlights in 3.9.0: - Direct GPU acceleration support no longer needing PSBLAS-EXT - CMake installation support - Improved C/C++ interface Download: https://psctoolkit.github.io/products/psblas/ AMG4PSBLAS is an algebraic multigrid preconditioner package for PSBLAS implementing highly parallel multilevel preconditioners. Key features in 1.2.0: - Polynomial smoothers for GPU architectures - CMake support - Enhanced C/C++ interface Download: https://psctoolkit.github.io/products/amg4psblas/ Both libraries include source, documentation, and examples. They support HPC environments with MPI and optional GPU support. For support and documentation, visit the PSCToolkit GitHub organization or project websites. ------------------------------------------------------- From: Mitchell Graham mgraham@siam.org Date: January 07, 2026 Subject: New Book, Quantum Algorithms for Optimizers Quantum Algorithms for Optimizers by Giacomo Nannicini This book presents a self-contained introduction to quantum algorithms, with a focus on quantum optimization-quantum approaches to solving optimization problems. It equips readers with the essential tools to assess the strengths and limitations of these algorithms, emphasizing provable guarantees and computational complexity. The first comprehensive treatment of quantum optimization, Quantum Algorithms for Optimizers provides a rigorous introduction to the computational model of quantum computers and to the theory of quantum algorithms, contains detailed discussions of some of the most important developments in quantum optimization algorithms, and summarizes the most significant advances in the open literature. 12/17/2025 / xiv + 273 pages / Softcover / 978-1-61197-875-9 / List $79.00 / SIAM Member $55.30 / MO37 Bookstore link: https://epubs.siam.org/doi/10.1137/1.9781611978766 ------------------------------------------------------- From: Kimberly McCabe kimberly@simula.no Date: January 07, 2026 Subject: Call for Applications - Simula Summer School in Computational Physiology In conjunction with the University of California, San Diego, Simula is pleased to announce the 12th edition of our annual Summer School in Computational Physiology. This school focuses on multiscale modelling of electrophysiology and mechanics of the heart, and related material in computational neurophysiology and pharmacology. We are seeking master's and early doctoral students to participate and will accept applications until February 1, 2026. The summer school takes place in two blocks: - June 15-26: Simula Research Laboratory, Oslo, Norway- Lecture series, project work - August 3-11: University of California San Diego, La Jolla, CA, USA, Project work, guest lectures and final student presentations There are no registration fees, and accommodation expenses for successful applicants are covered. 10 ECTS credits through the University of Oslo. Details regarding scheduling, logistics, core scientific material, and the application process can be found on the course website: https://www.simula.no/sscp ------------------------------------------------------- From: Pablo Seleson selesonpd@ornl.gov Date: January 08, 2026 Subject: Invitation to talk by Prof. Oskay (Vanderbilt) -- Jan. 22, 2-3PM EST Dear Colleagues, I would like to invite you to attend an upcoming presentation: "Quantum Computing Algorithms for the Finite Element Method" The talk will be given by Prof. Caglar Oskay from Vanderbilt University as part of the Oak Ridge National Laboratory (ORNL) Computational Mechanics Seminar series. The seminar will be held on Thursday, January 22, 2026, 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: Patrick Farrell patrick.farrell@maths.ox.ac.uk Date: January 06, 2026 Subject: Solving PDEs with Firedrake, Oxford, Mar 2026 I will give a 2.5-day training course on solving partial differential equations with Firedrake in Oxford, March 18-20 2026. Firedrake automates finite element simulation. Users write high level mathematical code expressing their weak forms, boundary conditions and solver strategies, and a high performance parallel implementation is then generated and executed. The tutorial is aimed at all levels, from MSc students to senior faculty and those solving partial differential equations in industry. Only a basic knowledge of finite elements is necessary, although of course more background is useful. The course will cover both the basics of solving stationary and time-dependent problems, as well as various advanced topics like geometric multigrid and p-multigrid solvers, high-order mesh generation and adaptive mesh refinement with Netgen, nonlinear problems, mixed formulations and block preconditioners, eigenvalue problems, and adjoints. Registration is £25. For details, please see https://www.firedrakeproject.org/tutorial_mar_26.html This training event is kindly supported by the Collaborative Computational Project on Data-centric Computational Mechanics and the Computational Science Centre for Research Communities (CoSeC). ------------------------------------------------------- From: Jemima Tabeart j.m.tabeart@tue.nl Date: January 08, 2026 Subject: Hackathon: Data Assimilation in Firedrake, 8-10 April 2026, RAL UK A hackathon to demonstrate and extend new variational data assimilation (varDA) capability in Firedrake (https://www.firedrakeproject.org) will take place at Rutherford Appleton Laboratory, UK 8th - 10th April 2026. Recent advances in Firedrake's varDA capabilities allow DA researchers to easily employ a wide range of PDEs and discretisations to test their work, with simulation scientists gaining access to the gradients required to adopt variational DA. The goal of this hackathon is to provide 1) an introduction and demo to Firedrake aimed at new users. 2) discussions to gather input from the wider scientific community about relevant test problems and future developments. 3) interactive sessions giving participants the opportunity to gain hands-on experience and provide input for the VarDA-Firedrake project. This hackathon is for scientists with any level of previous experience with either Firedrake or variational DA -- beginners and experts are equally welcome. This event is supported by a CoSeC fellowship and RAL, so registration is free (but mandatory before 25th March 2026). Further information, including the registration link, can be found at https://www.numerical.rl.ac.uk/events/hackathon-data-assimilation-in-firedrake/ Please direct any questions to j.m.tabeart@tue.nl ------------------------------------------------------- From: Annika Lang annika.lang@chalmers.se Date: January 08, 2026 Subject: 9 PhD positions. Chalmers and University of Gothenburg, Sweden This year, we are recruiting 9 new PhD students at the Department of Mathematical Sciences at Chalmers and the University of Gothenburg: - Link to an overview of all positions: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14489 - Application deadline: February 23, 2026 Two of the PhD positions might be of special interest to the NA Digest community: === PhD position in computational mathematics - Project: Time-evolving stochastic manifolds. The project includes components of stochastic analysis, geometry, partial differential equations (PDE), and computational mathematics. - Link to announcement and application system: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14482 - Supervisor: Annika Lang (annika.lang@chalmers.se) - Application deadline: February 23, 2026 === PhD position in Geometric Hydrodynamics - Project: within geometric hydrodynamics, using modern differential geometry and computational mathematics for a better understanding of partial differential equations describing fluid-like phenomena in nature. - Link to announcement and application system: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14479 - Supervisor: Klas Modin (klas.modin@chalmers.se) - Application deadline: February 23, 2026 === Please forward the announcement to relevant candidates. If you have questions, do not hesitate to contact us. ------------------------------------------------------- From: Jan Nordbotten jan.nordbotten@uib.no Date: January 05, 2026 Subject: PhD position, Dept. of Mathematics, University of Bergen, Norway The Department of Mathematics invites applications for a PhD Research Fellow in Applied and Computational Mathematics. This is a 3-year position funded by the University of Bergen, with the possibility of a 4th year dedicated to career development (e.g., teaching experience). You'll be part of the Center for Sustainable Subsurface Resources (CSSR) -- a national research hub funded by the Norwegian Research Council. CSSR's mission is bold: develop cutting-edge digital solutions to drastically reduce Norway's offshore emissions. To support the goals of CSSR, this project aims to develop, analyze and implement new nonlinear iterative solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we are interested in the joint applicability of such models and to what extent simpler models (possibly based on machine learning) can be integrated into full-physics simulation. Your research will directly contribute to this transformative goal. Your role: -Develop and analyze nonlinear and linear solvers in the context of multi-model analysis of and simulation of subsurface operations - Build on a theoretical foundation from numerical and functional analysis - Build on the literature related to linear operator preconditioning and nonlinear preconditioners for Newton methods - Use concrete model problems and numerical examples to guide and prototype the development For more information on the position and how to apply, please check out: https://www.jobbnorge.no/en/available-jobs/job/292201/phd-research-fellow-in-applied-and-computational-mathematics-cssr ------------------------------------------------------- From: Fred Roosta fred.roosta@uq.edu.au Date: January 03, 2026 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 ------------------------------------------------------- From: Tom Ranner T.Ranner@leeds.ac.uk Date: January 05, 2026 Subject: PhD Opportunity in Numerical Analysis or Scientific Computing, University of Leeds The School of Computer Science at the University of Leeds is inviting applications from UK/Home-fee rated applicants for two EPSRC DLA fully funded scholarships in any area of computer science, including numerical analysis and scientific computation. Start date: 1 Oct 2026 Duration: 3.5 years Fully funded Application Deadline: Fri 30 Jan 2026 Apply/info: https://phd.leeds.ac.uk/project/2357-epsrc-dla-scholarship-in-the-school-of-computer-science Informal enquiries can be addressed to: Tom Ranner (T.Ranner@leeds.ac.uk) ------------------------------------------------------- From: Jan Glaubitz jan.glaubitz@liu.se Date: January 05, 2026 Subject: PhD opportunity in Bayesian Computational Mathematics, Linköping University, Sweden We invite applicants for one fully funded PhD position (5 years) in Bayesian Computational Mathematics under the supervision of Prof. Jan Glaubitz (https://www.janglaubitz.com) at the Division of Applied Mathematics, Linköping University, Sweden. The position includes research (80%) and teaching (20%) in English and is compensated with a competitive salary and high job security. The research project is at the intersection of inverse problems, Bayesian learning, and uncertainty quantification and will address fundamental questions about trustworthy uncertainty quantification in science, engineering, and machine learning. For further details and to apply: https://liu.se/en/work-at-liu/vacancies/28185 Application deadline: March 2, 2026 Anticipated start date: Summer 2026 (flexible) Contact: Please don't hesitate to contact Jan Glaubitz (jan.glaubitz@liu.se) with any questions I would be grateful if you could share this announcement with potential candidates. Best, Jan Glaubitz ------------------------------------------------------- From: Melina Freitag melina.freitag@uni-potsdam.de Date: January 02, 2026 Subject: PhD and Postdoc postions in Data Assimilation at University of Potsdam Several Doctoral and Postdoctoral positions are available within the SFB 1294 at the University of Potsdam and partner institutions. The SFB 1294 is a collaborative research centre with focus on the mathematics of data assimilation, with diverse application areas. For more information on open positions and the application procedure, please visit https://www.sfb1294.de/open-positions ------------------------------------------------------- From: Andreas Frommer frommer@uni-wuppertal.de Date: January 06, 2026 Subject: Postdoc position in Numerical Simulation for Lattice QCD at Wuppertal University The Faculty of Mathematics and Natural Sciences at the University of Wuppertal, Germany invites outstanding candidates to apply for a two-year postdocl position in the field of numerical simulations of lattice Quantum Chromodynamics (QCD). The successful applicant will join project "Computing quark propagation in a gluon background" of the Research Unit "Future methods for studying confined gluons in QCD" (FOR 5269, https://for5269.desy.de/) funded by the German Research Foundation (DFG). Research topics include algorithmic developments for distillation, variance reduction in stochastic trace estimation and GPU implementations. The appointment starts September 1st, 2026 and ends August 31st, 2028. A Masters (or comparable) degree and PhD degree in mathematics, informatics or physics are required. Very good programming skills are a requirement and familiarity with the research topics mentioned above is an advantage. Please submit your application documents (CV, statement of research interests,3 letters of reference) by email to Andreas Frommer (frommer@uni-wuppertal.de) who is also the contact for any further inquiries. The deadline for application is January 30th, 2026. ------------------------------------------------------- From: Nicola Guglielmi nicola.guglielmi@gssi.it Date: January 04, 2026 Subject: Postdoctoral positions at Gran Sasso Science Institute, Italy The Mathematics Area at the Gran Sasso Science Institute (GSSI) in L'Aquila, Italy, is seeking highly qualified and motivated candidates for two postdoctoral positions in Mathematics. The deadline for applications is January 12, 2026. The total salary (gross of charges borne by the Institution) amounts to €55,000.00. For further information, please do not hesitate to contact us at phd.math@gssi.it. The main research interests of the Mathematics Area at GSSI are: Analysis of PDEs in classical and non-classical fluid mechanics, dispersive PDEs, hyperbolic systems of conservation laws, pattern analysis, numerical linear algebra, numerical methods for PDEs and dynamical systems, stochastic methods in statistical mechanics, hydrodynamic limits, interacting many-body systems, quantum macroscopic evolution equations, stochastic differential equations, computational methods in fluid mechanics and turbulent flows, high- performance computing, machine learning methods in computational problems. GSSI is a world-renowned research institute and school of advanced studies. The Institute is located in L'Aquila, a culturally vibrant town in the centre of Italy, with a low cost of living. It also hosts the University of L'Aquila and the nearby INFN Gran Sasso National Laboratory. While widely appreciated for its historical heritage and outdoor activities, the town has become an international centre of attraction for its academic and research institutions. All positions are research-oriented with no teaching duties. For more information, please see the PDF of the Call on the following webpage. https://www.mathjobs.org/jobs/list/27939 For questions and general inquiries, please contact us at applications@gssi.it. ------------------------------------------------------- From: Lehel Banjai hod.maths@hw.ac.uk Date: January 08, 2026 Subject: Assistant Professor position at Heriot-Watt University, Edinburgh The Department of Mathematics, Heriot-Watt University, seeks to appoint an Assistant Professor in Teaching and Research. The successful candidate will play a leading role in our BSc Data Science and Software Engineering joint programme with Xidian University in Xi'an, China. The teaching on the programme is delivered in short blocks in China as well as at our campus in Edinburgh. The successful candidate will also be expected to produce high-quality research, secure research funding, and supervise PhD and postdoctoral students. While the research area is open, the ability to supervise bachelor's and master's theses in the broad field of Data Science is essential. The closing date for applications is Monday 2nd February 2026. For more information and how to apply see: https://enzj.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/job/4606 Any questions about the post can be addressed to: Lehel Banjai hod.maths@hw.ac.uk. ------------------------------------------------------- From: Charley Denton cdenton@aimsciences.org Date: January 07, 2026 Subject: Contents, AIMS New Articles: JMD Vol. 21, Art. 20-22 Journal of Modern Dynamics Volume: 21, Art. 20-22 2025 https://www.aimsciences.org/jmd/article/2025/21/0 Bumpy metric theorem in the sense of Mañé for non-convex Hamiltonians Shahriar Aslani and Patrick Bernard The 2022 Michael Brin Prize in Dynamical Systems The Editors On the work of Zhiren Wang on rigidity in dynamics Ralf Spatzier ------------------------------------------------------- From: Lothar Reichel reichel@math.kent.edu Date: January 02, 2026 Subject: Contents, Electronic Transactions on Numerical Analysis (ETNA) Contents, Electronic Transactions on Numerical Analysis (ETNA), vol. 61, 2024: Special volume of the METT-X Workshop, Aachen, 2023. Note: ETNA accepts software publications as well as historical papers. Preface, page vi K. Lund and D. Palitta, Low-rank-modified Galerkin methods for the Lyapunov equation, pp. 1-21 L. Grasedyck, M. Klever, and S. Kramer, Quasi-orthogonalization for alternating non-negative tensor factorization, pp. 22-57 H. Bozorgmanesh, Relaxation of the rank-1 tensor approximation using different norms, pp. 58-71 E. Begovic Kovac and L. Perisa, CP decomposition and low-rank approximation of antisymmetric tensors, pp. 72-94 J. Saak and S. W. R. Werner, Using factorizations in Newton's method for solving general large-scale algebraic Riccati equations, pp. 95-118 P. Kurschner, Inexact linear solves in the low-rank alternating direction implicit iteration for large Sylvester equations, pp. 119-137 C. Bertram and H. Fassbender, A class of Petrov-Galerkin Krylov methods for algebraic Riccati equations, pp. 138-162 O. Coulaud, L. Giraud, and M. Iannacito, A note on TT-GMRES for the solution of parametric linear systems, pp.163-187 L. Grasedyck and T. A. Werthmann, Operator-dependent prolongation and restriction for the parameter-dependent multigrid method using low-rank tensor formats, pp. 188-207 ------------------------------------------------------- End of Digest **************************