Subject: NA Digest, V. 22, # 9 NA Digest Sunday, March 06, 2022 Volume 22 : Issue 9 Today's Editor: Daniel M. Dunlavy Sandia National Labs mailto:[log in to unmask] Today's Topics: Tensorlab+ Release 47th Spring Lecture Series, USA/HYBRID, May 2022 FRAME, Fractured Media, Italy, May 2022 Computational Science and HPC, Spain, Jul 2022 Summer School, Computational Mathematics, Poland, Jul 2022 WAND2022, Austria, Jul 2022 Applied and Numerical Linear Algebra, Germany, Aug 2022 Bifurcations and Instabilities in Fluid Dynamics, The Netherlands, Aug 2022 Conference Honoring Peter J. Olver, Canada, Aug 2022 Challenges in NA and Scientific Computation, Portugal, Sep 2022 High Performance Numerical Algorithms in PDEs, Poland, Sep 2022 Model Reduction and Surrogate Modeling (MORE), Germany, Sep 2022 Scientific Software Engineering Positions, Naval Nuclear Laboratory PhD/Postdoc Position, Computational Aeroacoustics, Univ of Bayreuth PhD/Postdoc in High Performance Machine Learning, Univ of Jena PhD Positions, Simulation Methods for Sustainable Material Dev New, Journal of Machine Learning Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html Submissions for NA Digest: http://icl.utk.edu/na-digest/ ------------------------------------------------------- From: Lieven De Lathauwer mailto:[log in to unmask] Date: March 01, 2022 Subject: Tensorlab+ Release It is our pleasure to announce the release of Tensorlab+. Tensorlab+ is a reproducible research repository for tensor computations, built on top of Tensorlab. It can be downloaded from https://www.tensorlabplus.net. The first release of Tensorlab+ includes the algorithms, auxiliary functions, and data needed to recreate the results of 150+ experiments that are discussed in 34 of our research papers, allowing the reproduction of 180+ figures and tables. Moreover, we have included 32 tutorials and demos showing how the proposed algorithms can be used in your own applications. The code is free to use for non-commercial research. We hope that you will find it useful and welcome all suggestions and feedback. ------------------------------------------------------- From: Tulin Kaman mailto:[log in to unmask] Date: March 03, 2022 Subject: 47th Spring Lecture Series, USA/HYBRID, May 2022 The Department of Mathematical Sciences is hosting the 47th Annual Spring Lecture Series (hybrid conference) between May 4-6, 2022 on the main campus of University of Arkansas, in Fayetteville, Arkansas. Yousef Saad, Distinguished Professor in the Department of Computer Science and Engineering at the University of Minnesota, will deliver five lectures on "Numerical Linear Algebra: from Scientific Computing to Data Science Applications". The conference includes - Lectures by - Yousef Saad (University of Minnesota), Principal Speaker - Erin Claire Carson (Charles University, Czech Republic) - Jie Chen (IBM Research, USA) - Alice Cortinovis (EPFL, Switzerland) - Tim Davis (Texas A&M University, USA) - Misha Elena Kilmer (Tufts University, USA) - Agnieszka Miedlar (University of Kansas, USA) - James Nagy (Emory University, USA) - Sara Pollock (University of Florida, USA) - Stanimire Tomov (University of Tennessee, USA) - Qiang Ye (University of Kentucky, USA) - Public Lecture by Sabine Van Huffel (KU Leuven, Belgium) - Student and early career presentations - Poster session - Women in Mathematics Panel Further information and registration can be found at https://fulbright.uark.edu/departments/math/research/spring-lecture-series ------------------------------------------------------- From: Sandra Pieraccini mailto:[log in to unmask] Date: March 03, 2022 Subject: FRAME, Fractured Media, Italy, May 2022 We are pleased to announce the first edition of the FRAME conference: "FRAME 2020+2 - Fractured media: numerical methods for fluid flow and mechanics" to be held on May 17-20, 2022 at Politecnico di Torino, Italy (initially planned on 2020, postponed due to the pandemic). The conference is aimed at presenting and discussing cutting-edge issues about modeling and development of numerical tools for porous fractured media simulations. Areas of interest include but are not limited to: Flow in fracture networks; Influence of roughness inside the fractures; Flow in fractured porous media; Up-scaling and homogenization; Coupled thermal, hydraulic, and/or mechanical processes in fractured media; Fault reactivation and fracture deformation; Fracture propagation; Self- organization of fracture networks; Non-linearities (such as geochemistry, dissolution inside the fractures etc&); Verification benchmarks; Uncertainty quantification/risk measurements; Artificial intelligence applied to fractured media, Graph-based methods, model reduction. List of invited speakers: Bernd Flemisch, Stuttgart Universitat; Luca Formaggia, Politecnico di Milano; Jeffrey De'Haven Hyman, Los Alamos National Laboratories; Romain Le Goc, Universite de Rennes 1; Roland Masson, Universite de Nice Sophia Antipolis; Adriana Paluszny, Imperial College. Abstract submission for oral presentations is closing on March 13th. We hope that the state of the pandemic will allow most people to attend in presence, but we will accommodate remote talks, to help people attending. There is no conference fee, but registration is compulsory; the registration form can be found on the conference web page. People submitting an abstract are automatically registered. Further information can be found at https://areeweb.polito.it/disma-excellence/events_2022/Frame/index.html ------------------------------------------------------- From: Elise DE DONCKER mailto:[log in to unmask] Date: March 02, 2022 Subject: Computational Science and HPC, Spain, Jul 2022 This is an invitation for contributions for the Workshop on Computational Science and HPC (CSHPC), to be held with ICCSA 2022, July 4-7, 2022 in Malaga, Spain, http://www.iccsa.org The CSHPC Workshop focuses on numerical and symbolic methods, simulations, algorithms and tools (software and hardware) for developing and running scientific computations. High Performance Computing (HPC), scalability and numerical precision are important in view of the computational requirements and data, which are generally large. Related topics may involve system architectures supporting the applications: massively parallel systems, GPUs, hybrid systems and distributed (cluster, grid/cloud) environments. Apart from traditional algorithms, problem solving tools further include techniques using neural networks, machine learning and genetic algorithms. Applications (not necessarily utilizing HPC) will be considered from areas including computational physics, computational mathematics and statistics, quantum physics, fluid dynamics, molecular dynamics, materials science and nanotechnology. Paper submission deadline: March 27, 2022 Organizers: Elise DE DONCKER, mailto:[log in to unmask] Fukuko YUASA, mailto:[log in to unmask] Hideo MATSUFURU, mailto:[log in to unmask] ------------------------------------------------------- From: Karolina Kropielnicka mailto:[log in to unmask] Date: March 01, 2022 Subject: Summer School, Computational Mathematics, Poland, Jul 2022 We are pleased to announce a summer school on computational mathematics that will be held in GdaDsk, Poland on 3-9 July. Short courses will be presented by - Habib Ammari (ETH Zurich), - Anders Hansen (University of Cambrige), - Annika Lang (Chalmers and University of Gothenburg), - Caroline Lasser (Norwegian Academy of Science and Letters & TUM), - Lek-Heng Lim (The University of Chicago). Subjects include - Computational wave theory, - Computational complexity and spectral theory, - Stochastic PDEs and their approximation, - Numerical methods for quantum dynamics, - Tensors in computations. More details can be found here: https://mat.ug.edu.pl/~kmalina/SummerSchool2022.html ------------------------------------------------------- From: Andreas Schröder mailto:[log in to unmask] Date: March 04, 2022 Subject: WAND2022, Austria, Jul 2022 We are pleased to announce the WAND2022 - Workshop on Adaptive Methods and Novel Discretization Techniques in Continuum Mechanics to be held on 13 to 15 July 2022 at the University of Salzburg, Austria. The aim of the workshop is to discuss recent developments in adaptive methods and novel discretizations techniques in continuum mechanics. The topics cover, for instance, error control and adaptivity, non standard finite elements, isogeometric analysis, immersed boundary methods, etc. The presentations will range from problems in numerical analysis to real world applications in mechanical engineering. The deadline for the registration and the submission of abstracts is 31st May 2022. The fee for participating in the workshop is 100 euros. Further information on the workshop programm, registration and how to submit your abstact can be found at: http://wand2022.uni-salzburg.at/ ------------------------------------------------------- From: Patrick Kürschner mailto:[log in to unmask] Date: March 03, 2022 Subject: Applied and Numerical Linear Algebra, Germany, Aug 2022 The 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM 2022) will take place on August 15 - 19, 2022 in the city of Aachen, Germany https://jahrestagung.gamm-ev.de/ We hereby invite you to participate in the Section "Applied and numerical linear algebra (ANLA)" (Section S17) at GAMM 2022 in Aachen. In section S17 both experts and young researchers in the field of applied and numerical linear algebra (ANLA) can meet and present their recent research results. The deadline for the submission of abstracts is May 01, 2022. In order to participate in the meeting and to submit abstracts you need to register online here https://jahrestagung.gamm-ev.de/annual-meeting-2022/registration-abstract-submission/ where you can select your abstract to be part of Section S17. ------------------------------------------------------- From: Fred Wubs mailto:[log in to unmask] Date: March 02, 2022 Subject: Bifurcations and Instabilities in Fluid Dynamics, The Netherlands, Aug 2022 The deadline for submission of abstracts for the 9th International Symposium on Bifurcations and Instabilities in Fluid Dynamics (BIFD22), August 16-19, 2022 is extended to March 13, 2022. The aim of the conference is to bring together some of the best scientific minds to discuss their research and address problems and opportunities related to new developments in bifurcation analysis in complex fluid flows. Moreover, the conference offers a platform for talented young scientists to present their work and to build their network in the field. The scope of the conference ranges from industrial applications to academic model problems, and from experimental, to computational and theoretical studies. Plenary speakers are: Karin Jacobs (Saarland University), Andrew Hazel (University of Manchester), and Henk Dijkstra (Utrecht University). The rest of the conference will consist of parallel sessions with research talks and a poster session. More information can be found at the conference website: http://www.bifd2022.org ------------------------------------------------------- From: Francis Valiquette mailto:[log in to unmask] Date: March 04, 2022 Subject: Conference Honoring Peter J. Olver, Canada, Aug 2022 During his prolific career, Peter J. Olver played an important role in the development of symmetry group methods to differential equations, geometry, and applied mathematics. The purpose of the conference "Symmetry, Invariants, and their Applications: A Celebration of Peter Olver's 70th Birthday" is to bring together leading experts, promising younger researchers, and graduate students from around the world to assess the rapid advances occurring in the field of symmetries and invariants, and evaluate the most promising directions of future developments. The topics to be addressed during the conference are as follows: Symmetry of differential equations, difference equations, and generalizations; Invariant theory, differential invariants, and generalizations; Equivariant moving frames; Equivalence problems and normal forms; Invariant geometric flows and integrable systems; Applications to geometric numerical integration, computer vision, and more. For more information about the conference and to register, please visit the conference website: https://www.math.mun.ca/~movingframes2022/ ------------------------------------------------------- From: Rui Ralha mailto:[log in to unmask] Date: March 03, 2022 Subject: Challenges in NA and Scientific Computation, Portugal, Sep 2022 Monday Sep. 5 - Tuesday Sep. 6 The Center of Mathematics of the University of Minho is pleased to announce an international meeting that aims to bring face to face researchers from different areas of numerical analysis and scientific computing. The list of topics includes but is not limited to numerical algorithms in optimization, differential and integral equations, numerical linear algebra, nonlinear equations and approximation. The scientific program of CNASC 2022 will include invited plenary lectures, contributed talks and a poster session. Abstract submission for a contributed talk or poster must be done not later than April 30. For more information please visit https://w3.math.uminho.pt/conferences/cnasc ------------------------------------------------------- From: Piotr Krzyzanowski mailto:[log in to unmask] Date: March 01, 2022 Subject: High Performance Numerical Algorithms in PDEs, Poland, Sep 2022 You are cordially invited to submit your contribution to the 4th Workshop on Applied High Performance Numerical Algorithms in PDEs Gdansk, Poland, September 11-14, 2022. http://www.mimuw.edu.pl/~przykry/ppam2022 Topics of interest include, but are not limited to: parallel algorithms for PDEs and their implementation, preconditioning techniques for linear systems, applications of HPC in modeling with PDEs, domain decomposition methods, multilevel and multigrid methods, multiscale methods, nonconforming discretizations, computational fluid dynamics, PDE driven geometric modeling. The workshop is a part of the 14th International Conference on Parallel Processing and Applied Mathematics (PPAM 2022). A limited number of contributed talks will be selected for this workshop, to be published in the LNCS series. Submission of papers: May 6, 2022 Notification of acceptance: June 17, 2022 Camera-ready papers: November 2, 2022 ------------------------------------------------------- From: Tobias Breiten mailto:[log in to unmask] Date: March 04, 2022 Subject: Model Reduction and Surrogate Modeling (MORE), Germany, Sep 2022 The first "Model Reduction and Surrogate Modeling (MORE)" conference will be held in Berlin, Germany, on 19-23 September 2022. The conference merges activities of the two independent conference series MoRePaS and MODRED. The goal is to foster an international exchange of new concepts and ideas related to the fields of model reduction and surrogate modeling. Invited speakers: Virginie Ehrlacher (Paris), Laura Grigori (Paris), Jan S. Hesthaven (Lausanne), Boris Kramer (San Diego), Andrea Manzoni (Milano), Youssef Marzouk (Boston), Cecilia Pagliantini (Eindhoven), Benjamin Unger (Stuttgart), Rachel Ward (Austin) More details on the conference are available at: https://more.sciencesconf.org Deadlines: Abstract/poster submission deadline: March 31, 2022 Notification of acceptance: May 15, 2022 ------------------------------------------------------- From: Ross Ingram mailto:[log in to unmask] Date: March 03, 2022 Subject: Scientific Software Engineering Positions, Naval Nuclear Laboratory U.S. Citizens Only: Naval Nuclear Laboratory's (NNL) is seeking full-time scientific software developers with a passion for software engineering. The newest team member will have the opportunity to work on assignments that could include designing, implementing, testing, verifying, deploying, and maintaining engineering software targeted for medium to large-scale supercomputing systems. Relevant Skills: 1) software engineering (e.g., unit testing, continuous integration, version control, debugging, profiling, compiler operation / optimization). 2) programming with both compiled (e.g., C, C++, Fortran) and interpreted (e.g., Python, Java) scientific computing languages. 3) parallel programming, running parallel jobs on supercomputing systems. 4) numerical analysis: e.g., partial differential equations, ordinary differential equations, nonlinear solvers, verification / validation / uncertainty quantification, optimization, machine learning, data analytics. 5) domain knowledge of nuclear reactor physics, fluid dynamics, thermodynamics, solid mechanics. https://nnl.mua.hrdepartment.com/hr/ats/Posting/view/28530 https://nnl.mua.hrdepartment.com/hr/ats/Posting/view/28531 https://navalnuclearlab.energy.gov/ ------------------------------------------------------- From: Joern Sesterhenn mailto:[log in to unmask] Date: March 02, 2022 Subject: PhD/Postdoc Position, Computational Aeroacoustics, Univ of Bayreuth At the Chair of Applied Mechanics and Fluid Mechanics we have an open fixed-term position (full-time (E 13 TV-L)) as a scientific assistant in the field of computational aeroacoustics. The position comes with a teaching obligation (in German after a reasonable grace period) and is to be filled as soon as possible. The possibility for doctorate or habilitation is offered. The Chair of Applied Mechanics and Fluid Mechanics is part of the Faculty of Engineering Science. The scientific focus of the advertised position is the data assimilation for nonlinear sources of sound in a transsonic flow. An optimization problem for the determination of sound sources in the time domain is to be solved. A CAA code for the Navier-Stokes equations and their adjoints is available and shall be used. Alternative approaches for solving the optimization problem, for example proximal optimization techniques, might be considered. The position will preferably, but not necessarily, filled by a postdoc with appropriate qualifications (see below). Applicants should have a master's (or equivalent) degree or a relevant Ph.D. dissertation with a focus on numerical analysis, numerical aeroacoustics, optimization, nonlinear dynamics or related topics. Please apply online with convincing application documents via E-mail to the following email address: mailto:[log in to unmask] The selection of applicants begins on March 21, 2022. The documents will be deleted after the position has been filled in accordance with data protection requirements. The position is fixed-term in accordance with applicable German and Bavarian law and serves to support scientific qualification. This will also determine the duration of the contract. For further information on the scientific content, please contact Prof. Sesterhenn (mailto:[log in to unmask]) and vistit https://www.tms.uni-bayreuth.de ------------------------------------------------------- From: Alex Breuer mailto:[log in to unmask] Date: March 03, 2022 Subject: PhD/Postdoc in High Performance Machine Learning, Univ of Jena The group Scalable Data- and Compute-intensive Analyses (https://scalable.uni-jena.de) at Friedrich Schiller University Jena has an open position in High Performance Machine Learning. We seek a highly motivated and skilled PhD/Postdoc with a strong interest in contributing to state-of-the-art and emerging Machine Learning backends. The position requires experiences in low-level programming and computer architectures. Applications are possible until March 18, 2022. All details on the position (id 084/2022) are available from https://www4.uni-jena.de/Universit t/Stellenmarkt/Wissenschaftliche+Besch ftigte/PhD_Postdoc+in+High+Performance+Machine+Learning+%28m_f_d%29.html Questions on the position may be directed to Alex Breuer (mailto:[log in to unmask]). ------------------------------------------------------- From: Konrad Steiner mailto:[log in to unmask] Date: March 01, 2022 Subject: PhD Positions, Simulation Methods for Sustainable Material Dev The department Flow and Material Simulation at Fraunhofer ITWM offers several PhD position (f/m/d). The central research content is combined model- and data-based computer simulations based on multiscale or multi- physics methods for process and material optimization in electromobility, bioeconomy and personalized product design. The PhD topics deal with the development and application of numerical methods and their integration to multiscale models using gradient-based optimization methods, AI-based data analysis methods and/or database concepts. - Highly efficient battery simulation models for the regional, use- dependent online prediction of energy requirements of e-vehicles - Data-supported multi-scale modelling, simulation and optimisation of apparatus and processes in separation technology (filtration, separation, treatment) - Asymptotic analysis and simulation-based design of additively manufactured material structures or technical textiles - Deep Material Networks for multi-scale simulation of composites and metamaterials - Consistent modelling and simulation of the production and application behaviour of foams as damping or insulation material For more details and information about the specific research topics, please see the full job posting: https://jobs.fraunhofer.de/job/Kaiserslautern-PROMOTIONSSTELLEN-%C2%BB-EFFIZIENTE-SIMULATIONSMETHODEN-F%C3%9CR-EINE-NACHALTIGE-MATERIALENTWICKLUNG%C2%AB-67663/778550701/ For more information about the department Flow and Material Simulation visit: https://www.itwm.fraunhofer.de/en/departments/sms.html ------------------------------------------------------- From: Zhi-Qin John Xu (SJTU) mailto:[log in to unmask] Date: March 03, 2022 Subject: New, Journal of Machine Learning The editorial office announces the launching of a new journal: Journal of Machine Learning https://www.global-sci.org/jml . Although the world is generally over-populated with journals, the field of machine learning (ML) is one exception. In mathematics, there are almost no recognized venues (other than conference proceedings) for publishing work on ML. In AI for Science, ideally, one would like to publish the work in leading scientific journals such as Physical Review Letters. However, this is a difficult task at the stage of developing methodologies. Although there are many conferences in ML-related areas, publishing in journal form (without submission deadlines and without serious page limitations) is still the preferred venue in many disciplines, especially in mathematics and the sciences. The objective for Journal of Machine Learning (JML) is to become a leading journal in all areas related to ML, including algorithms and theory for ML, as well as applications to science and AI. JML will start as a quarterly publication. Considering the fact that ML is a vast and fast- developing field, we will do our best to carry out a thorough and responsive review process. To this end, we will have a group of young and active managing editors who will handle the review process, and a large, interdisciplinary group of experienced board members who can offer quick opinions and suggest reviewers when needed. JML is published by Global Science Press and sponsored by the Center for Machine Learning Research, Peking University & AI for Science Institute, Beijing. All articles in JML are open-access and there is no charge for the authors. High quality papers on all aspects of machine learning are welcome. Editorial office, Journal of Machine Learning March, 2022 ------------------------------------------------------- End of Digest **************************