From: "David S. Bindel" To: NA-DIGEST-L Subject: NA Digest, V. 26, # 45 Date: Fri, 6 Nov 2026 11:43:37 +0000 NA Digest Friday, November 06, 2026 Volume 26 : Issue 45 Today's Editor: David S. Bindel Cornell University bindel@cornell.edu Today's Topics: 2026 Langtangen Prize Winter school on hierarchical matrices, Feb 2027 Call for submissions - Section S17 at GAMM Annual Meeting 2027 in Ulm, Mar 2027 10th Spring School on Lattice Boltzmann Methods with OpenLB, Apr 2027 Phil Roe Symposium, May 2027 in Ann Arbor Workshop on Approximate Computing in Numerical Linear Algebra, Prague, Sept. 20-22, 2027 GERAD Postdoctoral Research Fellowship Competition 2027-2028, Canada Postdoc openings at Simon Fraser University, Canada Postdoctoral Position in Plasma Modeling, SciML, and Fusion Physics at Georgia Tech, USA Computational Science PhD Positions in Southern California, USA 2 PhD student positions in efficient/robust machine learning at Univ. of Vienna, Austria PhD Positions in Numerical Optimization & Linear Algebra Southampton, UK See this issue of NA Digest on the web at: https://na-digest.coecis.cornell.edu/na-digest-html/26/v26n45.html Submissions, FAQs, and archives: https://na-digest.coecis.cornell.edu/ ------------------------------------------------------- From: Marie E. Rognes meg@simula.no Date: November 06, 2026 Subject: 2026 Langtangen Prize The 2026 Langtangen Prize has been awarded to Kaibo Hu and Ting Lin Finite element form-valued forms: Construction for the development of a unified construction of discretisations for tensor-valued functions https://arxiv.org/abs/2503.03243 and Juntian Zheng, Zhaofeng Luo, and Minchen Li Robust and efficient penetration-free elastodynamics without barriers ACM Transactions on Graphics for advances in robust and efficient simulation of contact. https://doi.org/10.1145/3811035 The Langtangen Prize, named for Hans-Petter Langtangen (1962-2016), is awarded annually to an outstanding paper or papers on the foundations of numerical simulation technology published in a given calendar year. It is funded by the Ridgway Scott Foundation and the authors of each paper receive a cash award of $3000. ------------------------------------------------------- From: Steffen Boerm boerm@math.uni-kiel.de Date: November 04, 2026 Subject: Winter school on hierarchical matrices, Feb 2027 Date: 15th to 19th of February, 2027 Place: Kiel University, Heinrich-Hecht-Platz 6, Kiel, Germany Organizers: Wolfgang Hackbusch, Lars Grasedyck, Steffen Börm, Ronald Kriemann Hierarchical matrices offer an efficient approach to handling non- local operators resulting, e.g., from the discretization of an integral equation, the inversion of a partial differential equation, or the application of a matrix function. They rely on a decomposition of a matrix into sub-matrices of low numerical rank that can be represented efficiently in factorized form. This representation allows us to perform matrix-vector and matrix-matrix multiplications, inversions and factorizations in almost linear complexity. Extensions of this approach to multi-dimensional tensors and H²-matrices are also covered. The winter school is split into two parts: * lectures present the fundamental ideas and algorithms * practical exercises allow the participants to experience the methods first-hand and discuss specific questions and applications with experts Participation is free of charge. For the practical exercises, fundamentals of the C programming language are necessary. Please address questions and registration requests to boerm@math.uni-kiel.de ------------------------------------------------------- From: Eda Oktay edaoktay95@gmail.com Date: November 02, 2026 Subject: Call for submissions - Section S17 at GAMM Annual Meeting 2027 in Ulm, Mar 2027 Dear Colleagues, The 97th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) will be hosted by the Ulm University (UUlm) and the Ulm University of Applied Sciences (THU), March 8 - 12, 2027, in Ulm, Germany. On behalf of the organizing committee, we would like to invite you, your colleagues, postdocs, and graduate students to join Section S17: APPLIED AND NUMERICAL LINEAR ALGEBRA The topical speakers of the session are Yuxin Ma (Charles University) and Igor Simunec (EPFL). Contributed talks in this session will have a length of 15 minutes plus 5 minutes for discussion. Once the abstracts have been received, depending on the number of submissions and allowed time slots, we may have to select an appropriate number of abstracts for presentations. For more detailed information concerning the submission of abstracts as well as registration and accommodation, please visit the conference website at https://jahrestagung.gamm.org/joint-annual-meeting-2027/joint-annual-meeting/ Deadline for abstract submission is December 1, 2026. Deadline for early online registration is January 19, 2027. Online registration will close on March 5, 2027. Please note that we cannot provide any financial support or exceptions to the registration fee for participants. We are looking forward to welcoming you in Ulm. Please let us know if you have any questions regarding the organization of the Section. Eda Oktay, Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg (oktay@mpi-magdeburg.mpg.de) Alice Cortinovis, University of Pisa (alice.cortinovis@unipi.it) (Section Organizers S17) ------------------------------------------------------- From: Mathias J Krause mathias.krause@kit.edu Date: November 01, 2026 Subject: 10th Spring School on Lattice Boltzmann Methods with OpenLB, Apr 2027 Registration is open for the 10th Spring School 2027 on Lattice Boltzmann Methods with OpenLB Software Lab that will be held in Erlangen(Germany) form 05.04.2027 – 09.04.2027. The spring school introduces scientists and users from industry to the theory of #LBM and trains them on practical problems. The first half of the week is dedicated to the theoretical fundamentals of LBM up to ongoing research on selected topics. Followed by mentored training on case studies using #OpenLB in the second half, where the participants gain deep insights into LBM and its applications. This educational concept is probably unique in the LBM community and offers a comprehensive and personal guided approach to LBM. Participants also benefit from the knowledge exchange during poster session, coffee breaks and the excursion. We look forward to your participation. Registration: https://www.openlb.net/spring-school-registration/ More Information: https://www.openlb.net/spring-school-2027/ On behalf of the spring school executive committee ------------------------------------------------------- From: Christian Klingenberg christian.klingenberg@uni-wuerzburg.de Date: November 02, 2026 Subject: Phil Roe Symposium, May 2027 in Ann Arbor In memory of Phil Roe, who passed away earlier this year, there will be an international symposium in memory of Phil Roe May 17-19, 2027, Ann Arbor, Mi, USA, see here https://micde.umich.edu/active-flux-symposium/ Phil Roe considered his Active Flux method the culmination of his efforts. So this Symposium explores recent advances in Active Flux and other high order accurate numerical methods for conservation laws. The program will feature invited presentations, discussions, and opportunities for exchange across the computational science community. ------------------------------------------------------- From: Erin Carson carson@karlin.mff.cuni.cz Date: November 05, 2026 Subject: Workshop on Approximate Computing in Numerical Linear Algebra, Prague, Sept. 20-22, 2027 Please save the date for the 3rd edition of the Workshop on Approximate Computing in Numerical Linear Algebra, to be held September 20-22, 2027 in Prague, Czech Republic. A preliminary website can be found here: https://sites.google.com/view/approxcomputing27/. The goal of the workshop is to gather experts on approximate numerical linear algebra algorithms, their analysis, implementation on modern hardware, and use in applications. This includes topics such as low-rank approximations, reduced and mixed precision algorithms, randomized algorithms, communication avoiding algorithms, sparse and data sparse matrix algorithms, etc. This is the third annual edition of this workshop, the previous editions held at MPI Madgeburg in 2026 and at Sorbonne University in 2025. The workshop is also held as part of the ERC project inEXASCALE. Registration will open in early 2027 and there will be no registration fee. The workshop will immediately follow the GAMM ANLA workshop, to be held in Berlin the preceding Thursday and Friday, for attendees who would like to attend both events. ------------------------------------------------------- From: Sébastien Le Digabel sebastien.le.digabel@gerad.ca Date: November 05, 2026 Subject: GERAD Postdoctoral Research Fellowship Competition 2027-2028, Canada The Group for Research in Decision Analysis (GERAD) is pleased to announce the launch of its 20th Postdoctoral Research Fellowship Competition. GERAD and its members are offering two fellowships with a minimum value of CAD $75,000 each. Each fellowship includes CAD $45,000 provided by GERAD, supplemented by at least CAD $30,000 contributed by GERAD members who will co-supervise the research project. The GERAD is a publicly founded multi-university research center founded in 1979 and located in Montreal, Canada. The center brings together specialists in data and decision sciences, computer scientists, applied mathematicians and mathematical engineers. Its mission is to make a significant impact on society through scientific innovation, the transfer of know-how to key sectors of the economy, and the development of decision-support tools. Applications are welcome in GERAD's areas of research: + Data valuation for decision making; + Decision support made in complex systems; + Decision support made under uncertainty; + Real-time decision support. Eligibility criteria: + PhD obtained within the last five years at the time of application, or you plan to obtain it before GERAD funding begins. The evaluation committee may take into consideration special circumstances (e.g. maternity, illness); + The postdoctoral fellowship must be carried out under the joint supervision of two regular members of GERAD. Application conditions: + The fellowship cannot be combined with another fellowship awarded by a Canadian granting agency (e.g., NSERC, SSHRC, FRQ); + The postdoctoral fellowship must begin between April 1, 2027, and March 31, 2028; + Unless otherwise specified, the recipient must spend the entire period funded by the fellowship at GERAD. Important dates: + Competition opens: 11/ 2026; + Application deadline: 31/01/2027; + Anticipated notification date: 03/2027. Complete competition rules: https://www.gerad.ca/en/competition . ------------------------------------------------------- From: Yingda Cheng yingda@vt.edu Date: November 03, 2026 Subject: Postdoc openings at Simon Fraser University, Canada Dear all, We are hiring two postdocs at Simon Fraser University in Burnaby, British Columbia. The postdocs are jointly supervised by Prof. Yingda Cheng, the Eddie Goldenberg Research Chair of Canada in Advanced Digital Technologies for Fusion Energy and Prof. Daniel Appelo. The Chair is one of the inaugural appointments under the Canada Global Impact+ Research Talent Initiative at SFU. Applications are encouraged from candidates working in areas aligned with the Chair's mission, with priority given to: Scientific Machine Learning; Advanced Numerical Methods (e.g., for PDEs, kinetic equations, high- dimensional problems); Plasma Physics and Fusion Energy Science; Quantum Device Simulation / Quantum Technologies; High performance computing and GPU acceleration. We seek applicants with a strong aptitude for research and a demonstrated ability to work at the interface of applied mathematics, scientific computing, and physics. The successful candidate will join an interdisciplinary team and will have opportunities to collaborate with the Chair’s academic, industry, and international partners. The postdocs will have an initial term of 2 years, extendable for another year. The positions have teaching load of up to one course per year. Application deadline is Dec 1, 2026. Details and job link can be found at https://www.mathjobs.org/jobs/list/28865 SFU provides relevant immigration service to postdoc fellows https://www.sfu.ca/immigrationservices/incoming/postdocs.html Thank you for your consideration! Best regards, Yingda Cheng yingda@vt.edu yingda_cheng@sfu.ca Daniel Appelo appelo@vt.edu daniel_appelo@sfu.ca ------------------------------------------------------- From: Qi Tang qtang@gatech.edu Date: November 06, 2026 Subject: Postdoctoral Position in Plasma Modeling, SciML, and Fusion Physics at Georgia Tech, USA The group of Qi Tang in the School of Computational Science and Engineering at Georgia Tech invites applications for a postdoctoral fellow. The two-year appointment starts in Spring 2027 or later, with possible renewal based on performance and funding. The fellow will work on plasma turbulence modeling, machine learning for multiphysics and multiscale problems, and fusion physics, as part of TEMPEST (https://tempest-stc.msu.edu/), a new NSF Science and Technology Center. Broad collaboration across the Center's partner universities, national labs, and industry is expected. Requirements: Ph.D. in physics, applied mathematics, computational science, or a related field by the start date. Expertise in plasma physics, scientific machine learning, HPC, or data science is a plus. To apply, email qtang@gatech.edu a single PDF with subject line "Postdoc Inquiry: [Your Name]" containing a cover letter (1-2 pages) on your background and research interests, a CV, and contact information for two or three references. Applications are reviewed as they arrive; the position remains open until filled. ------------------------------------------------------- From: Jose E Castillo jcastillo@sdsu.edu Date: October 30, 2026 Subject: Computational Science PhD Positions in Southern California, USA UC Irvine – San Diego State University Joint Doctoral Program in Computational Sciences Seeks Doctoral Students The Interdisciplinary Ph.D. Program in Computational Science is aimed at training scientists and engineers who will create advanced computational methods and tools to model and solve challenging problems at the intersections of scientific disciplines. The doctoral program offers coursework and research in a broad range of subjects that develop expertise in Mathematical Modeling, Scientific Computing and Science Informed AI with applications to Biological Science, Earth Science, Engineering Science, Health, Physical and/or Chemical Science. UCI and SDSU campuses are recognized as Hispanic Serving Institutions offering a welcoming and supportive environment for diverse students. Admitted graduate students are offered a range of financial assistance options while they are pursuing advanced degrees, including Teaching, Graduate, and Research Assistantships and Fellowships. Applicants with strong backgrounds in mathematics, physical, chemical, biological and earth sciences, computer science, and engineering are invited to apply. Please check our website for details regarding the doctoral program and the application process. https://www.csrc.sdsu.edu/ph-d-program/ ------------------------------------------------------- From: Wilfried Gansterer wilfried.gansterer@univie.ac.at Date: November 05, 2026 Subject: 2 PhD student positions in efficient/robust machine learning at Univ. of Vienna, Austria The Faculty of Computer Science of the University of Vienna is currently offering two PhD student positions in the area of efficient, expressive and robust graph neural networks. One PhD student will focus on algorithmic and numerical aspects of efficiency and robustness of GNNs, the other one on the theoretical foundations of efficient GNNs, balancing efficiency and expressivity. For details about the positions and about how to apply, please see https://taa.cs.univie.ac.at/news/story/exosphere To be guaranteed full consideration, please submit your application by November 20, 2026. ------------------------------------------------------- From: Stefano Cipolla s.cipolla@soton.ac.uk Date: November 06, 2026 Subject: PhD Positions in Numerical Optimization & Linear Algebra Southampton, UK We are currently recruiting three PhD students for different research projects through the following Centres for Doctoral Training (CDTs): https://www.mfccdt.ac.uk/university-of-southampton/ https://cisdns-cdt.ac.uk/phd-projects/ https://qte.ac.uk/phd-opportunities/ Please share these opportunities with students who may be interested and encourage them to apply or contact me for further information (s.cipolla@soton.ac.uk). ------------------------------------------------------- End of Digest **************************