Subject: NA Digest, V. 22, # 12 NA Digest Tuesday, April 19, 2022 Volume 22 : Issue 12 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Nonlinear solvers: Julia package + notebooks BLIS 0.9.0 now available OpenLB release 1.5 available for download Software Release, emgr 5.99 UNAMAlla6beta Release, 2D Mesh Generation SIAM Virtual Career Fair, ONLINE, Apr 2022 Computational Integral Equations, Mexico, May 2022 Hyperbolic Conservation Laws, Purdue Univ, USA, May 2022 Mathematical Modelling and Numerical Optimization, ONLINE, May 2022 Modern Techniques of Very Large Scale Optimization, UK, May 2022 AMiTaNS'22, Bulgaria/HYBRID, Jun 2022 Discontinous Galerkin Method, Belgium, Jun 2022 Discretization and Algebraic Solvers, France, Jun 2022 Registraion Open, ILAS, Ireland, Jun 2022 DD27, Czech Republic, Jul 2022 Early Career Mathematicians' Colloquium, UK, Jul 2022 Numerical Methods and Analysis in CFD, Germany, Jul 2022 Computer Arithmetic, ARITH 2022, ONLINE, Sep 2022 Global Optimization Workshop, HUGO22, Hungary, Sep 2022 Uncertainty, Adaptivity and Machine Learning, Germany, Sep 2022 Modelling the Cardiac Function, Italy, Sep-Oct 2022 Chair Position, Computational Mathematics, Heriot-Watt Univ Full Professor Positions, Computational Modelling Assistant Professor Position, NA/Sci Comp, Charles Univ Research Software Engineer Positions, Durham Univ, UK Research Technician Position, Minimax Risk Classifiers, BCAM Research Technician Position, Statistical Physics, BCAM Data Science Research Technician Position, BCAM Research Assistant Position, Optimization with PDEs, Germany Postdoc Position, Computational Mathematics, Clemson Univ Postdoc Position, HPC/Earthquake Cycle Models, Univ of Oregon Postdoc Position, Hong Kong Polytechnic Univ Postdoc Position, ML/NLA, Airbus-Cerfacs-Inria Postdoc Position, Scientific Machine Learning, Univ of Twente Postdoc Position, Special Functions and Random Walks, BCAM Postdoc Positions, Applied Mathematics, Germany Postdoc Postion, ML/Text Mining PhD and Postdoc Position, NA, Austria PhD Position, Fluid Dynamics Modelling, BCAM PhD Position, KU Leuven, Belgium PhD Position, Numerical Mathematics, Univ of Twente PhD Position, Optimization Methods for DL, WIAS, Germany PhD Positions, Bayesian Calibration Methodology for Complex Models Contents, Constructive Approximation, 55 (1-2) Contents, Evolution Equations and Control Theory, 11 (3) 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: Tim Kelley [log in to unmask] Date: April 16, 2022 Subject: Nonlinear solvers: Julia package + notebooks I am sharing a close-to-final draft of my upcoming book Solving Nonlinear Equations with Iterative Methods: Solvers and Examples in Julia with the NA-Digest community. SIAM will publish this in late 2022/early 2023 as number 20 in the Fundamentals of Algorithms series. The project will have a print book, a suite of Jupyter notebooks that are a very good approximation of the print book, and a Julia package. The package is SIAMFANLEquations.jl. You install it like any other registered Julia package. The github repos are Package: https://github.com/ctkelley/SIAMFANLEquations.jl Notebooks: https://github.com/ctkelley/NotebookSIAMFANL The package and notebooks are open source. License data are on the repos. Enjoy, Tim ------------------------------------------------------- From: Field G. Van Zee [log in to unmask] Date: April 01, 2022 Subject: BLIS 0.9.0 now available We are pleased to announce the release of BLIS 0.9.0. BLIS is a software framework for rapidly instantiating high- performance BLAS-like dense linear algebra operations targeting CPUs. Besides being a developer's tool, the framework also allows end- users to build libraries that implement a superset of the BLAS, which can be called via conventional BLAS-like or object APIs, or via legacy BLAS interfaces (including CBLAS). BLIS provides optimized kernel support across a variety of microarchitectures, including Intel's hardware with AVX, AVX2, and AVX-512 instruction sets (Sandy Bridge onward), AMD's Ryzen/Epyc, and ARMv7/ARMv8. This version also contains foundational support for an exciting new class of expert functionality: creating new operations without the need to duplicate the middleware that sits between the API and kernels. We expect this will allow developers to rapidly prototype custom solutions to suit their applications' needs. A full list of improvements can be found in our release notes [1]. For other links to code, documentation, mailing lists, publications, and related information, please visit the BLIS GitHub website [2]. BLIS is made possible in part thanks to contributions from the community as well as funding from NSF and industry (most recently AMD, Arm, and Oracle). [1] https://github.com/flame/blis/blob/master/docs/ReleaseNotes.md [2] https://github.com/flame/blis/ ------------------------------------------------------- From: Mathias J. Krause [log in to unmask] Date: April 14, 2022 Subject: OpenLB release 1.5 available for download OpenLB release 1.5 available for download The developer team is very happy to announce the release of the next version of #OpenLB. The updated open-source Lattice Boltzmann Method (#LBM) code is now available for download https://www.openlb.net/download/ . Major new features include support for #GPUs using #CUDA, vectorized collision steps on SIMD CPUs, a new implementation of our resolved particle system as well as the possibility of simulating free surface flows and reactions, see https://www.openlb.net/news/openlb-release-1-5-available-for-download/ . ------------------------------------------------------- From: Christian Himpe [log in to unmask] Date: April 13, 2022 Subject: Software Release, emgr 5.99 emgr -- EMpirical GRamian Framework, version 5.99 has been released. "emgr" provides unsupervised learning via synthetic data of input-output system properties for data-driven control applications such as model reduction, decentralized control, sensitivity analysis, parameter identification, uncertainty quantification, optimal placement, or system characterization. For further info see: https://gramian.de and https://github.com/gramian/emgr ------------------------------------------------------- From: Iván Méndez Cruz [log in to unmask] Date: April 13, 2022 Subject: UNAMAlla6beta Release, 2D Mesh Generation We are pleased to announce the release of version 6 beta of the mesh generation system UNAMalla. The system generates block structured quadrilateral meshes on polygonal regions. The user can generate meshes on complex shapes or even on regions with holes so that a high percentage of the quadrilaterals be approximately rectangles. UNAMalla has generated structured meshes on irregular regions. This new version incorporates new methods, it is coded in the Julia programming language and it provides a set of tools for interactive mesh generation in a Jupyter Notebook. The system is free to use for academic research. It can be downloaded from our website: http://tikhonov.fciencias.unam.mx/unamalla/ We hope that you will find it useful. ------------------------------------------------------- From: Kris ONeill [log in to unmask] Date: April 03, 2022 Subject: SIAM Virtual Career Fair, ONLINE, Apr 2022 The SIAM Virtual Career Fair is Wednesday, April 20, 2022. We invite you to participate in this networking and recruitment event, where you will have the opportunity to engage with hundreds of applied mathematicians and computational and data scientists from leading institutions and companies. SIAM is an organization of applied mathematicians, computational and data scientists. We are students, researchers, practitioners, and educators. We come together to advance the use and application of our work in industry, engineering, science, and society. SIAM members have the quantitative, mathematical, computing, and analytical skills that are needed in today's marketplace. The SIAM Career Fair is an ideal place to recruit employees with mathematical, computational, and data science education and training, and it is also an excellent opportunity to present your company's mission and vision to a broad audience. Employers can register for a Career Fair booth at this link: https://app.brazenconnect.com/a/siam/e/Mbl1K/exhibitors Job seekers can sign up for the event at this link: https://app.brazenconnect.com/a/siam/e/Mbl1K Please contact [log in to unmask] if you have any questions. We hope to have you join us! ------------------------------------------------------- From: Mike ONeil [log in to unmask] Date: April 04, 2022 Subject: Computational Integral Equations, Mexico, May 2022 Outstanding Challenges in Computational Methods for Integral Equations CMO-BIRS Oaxaca, Mexico, May 23-27, 2022 The workshop brings together experts on integral equation based techniques for modeling problems such as wave scattering problems, fluid flows, heat conduction, and many more. Themes of particular interest include: (1) techniques for discretizing singular integrals and representing complex geometries, (2) fast multipole methods and fast direct solvers for the non-oscillatory or moderately oscillatory regime, (3) integral equations in novel application areas, (4) fast algorithms for the highly oscillatory environment, and (5) community software, in particular the identification of key workhorse routines needed in analysis-based fast algorithms, including fast randomized linear algebra techniques. The virtual component of the workshop will be anchored by five 1.5h panel sessions where experts in the field will moderate a discussion on current and future research directions in each of the focus areas. The panel discussions will be followed by a few 25 minute regular talks. All virtual components will be scheduled early in the day to facilitate participation from both the Americas and Europe. If you would like to receive an invitation to participate virtually, please email [log in to unmask] with your name, affiliation, and email address. We also have some open slots for virtual talks; if you would be interested in giving one, then please send us a title and brief abstract by April 30. ------------------------------------------------------- From: Xiangxiong Zhang [log in to unmask] Date: April 02, 2022 Subject: Hyperbolic Conservation Laws, Purdue Univ, USA, May 2022 The Center for Computational & Applied Mathematics at Purdue University will be hosting the 2022 Workshop on New Trends in Numerical Methods for Hyperbolic Conservation Laws, on May 9-10, 2022. It will be an in person workshop at Purdue University, West Lafayette, Indiana. The workshop will start at 1:30pm EST on Monday May 9th, and end on Tuesday May 10th. More information can be found on the workshop webpage: https://www.math.purdue.edu/~zhan1966/research/conference/CCAM_hyperbolic_2022.html ------------------------------------------------------- From: Mehiddin Al-Baali [log in to unmask] Date: April 17, 2022 Subject: Mathematical Modelling and Numerical Optimization, ONLINE, May 2022 The virtual Workshop on "Mathematical Modelling and Numerical Optimization," (MMNO-2022), will be held at Sultan Qaboos University, Muscat, Oman, on 12 May 2022. The invited speakers are Adil Bagirov (University of Ballarat, Australia), Nezam Mahdavi-Amiri (Sharif University of Technology, Iran), Kees Roos (Delft University of Technology, The Netherlands), and Chefi Triki (University of Kent, UK). Registration is free and required for those wishing to attend the workshop. To join the meeting, a link for Zoom link or Google Meet will be ready a few days before the date of the workshop, which you can get by writing to either [log in to unmask] or [log in to unmask] who will also provide you with the program of the workshop. ------------------------------------------------------- From: Stefano Cipolla, Jacek Gondzio, Filippo Zanetti [log in to unmask] Date: April 04, 2022 Subject: Modern Techniques of Very Large Scale Optimization, UK, May 2022 On May 19th-20th the School of Mathematics at the University of Edinburgh will host the workshop "Modern Techniques of Very Large Scale Optimization". The workshop will have a particular focus on Alternating Direction Method of Multipliers and decomposition methods and aims to promote an exchange of ideas and to advance the state of the art in these areas. This workshop will consist of several in-person presentations by leading researchers in the field but may also be followed online. We invite all the interested researchers to this event, few slots for in-person contributed talks are still available. The participation in the workshop is free but a registration is compulsory, see https://www.maths.ed.ac.uk/~gondzio/admm2020/home.html where you will also find more information about the workshop. ------------------------------------------------------- From: Michail Todorov [log in to unmask] Date: April 02, 2022 Subject: AMiTaNS'22, Bulgaria/HYBRID, Jun 2022 The Euro-American Consortium for Promotion of the Application of Mathematics in Technical and Natural Sciences is pleased to announce its Fourteenth Conference AMiTaNS'22 to be held in the 5-star Flamingo Grand hotel in the Black-Sea resort of Albena, Bulgaria. The conference will be scheduled in plenary and keynote lectures followed by special and contributed sessions. The accents of the conference will be on Mathematical Physics, Solitons and Transport Processes, Numerical Methods, Scientific Computing, Continuum Mechanics, Applied Analysis, Applied Physics, Biomathematics, which can be complemented by some specific topics in contributed special sessions. The format of conference is hybrid. Coordinator and contact person: Professor Michail Todorov, email: [log in to unmask] or [log in to unmask] ------------------------------------------------------- From: Jochen Schütz [log in to unmask] Date: April 14, 2022 Subject: Discontinous Galerkin Method, Belgium, Jun 2022 Hereby, I would like to kindly invite you to participate in the summer school on hyperbolic conservation laws at the university of Hasselt, Belgium, from June 27-30, 2022. The focus of this summer school is on the discontinous Galerkin method. The DG method is one of the most famous numerical algorithms for the approximation of solutions to PDEs, as it has very favourable properties, such as data-locality, easy parallelizability, geometrical flexibility and many more. Furthermore, as it can for many equations be written in a variational form, it has a solid mathematical backup including error estimations. The method itself dates back to the early 70's, and has become popular since the mid-90's. While DG methods are very well understood for many problems, there is still a highly active research scene focussing around special aspects of the DG methods, in particular with respect to the extension to large-scale computations. The goal of this summer school is to give the participants an introduction to the DG methods. The focus will be more on an introduction to the concepts including their applications rather than a complete and rigorous discussion of the theory. The summer school will therefore be amenable to mathematicians, engineers and scientists and will be presented in a genuine interdisciplinary context. All sessions will be hands-on, meaning that sufficient time for exercises and their discussion is planned. Confirmed speakers are Matteo Cicuttin (University of Liege), Alexandre Ern (Universite Paris-Est) and Jennifer Ryan (Colorado School of Mines). Subscription is free of charge; more informations and subscription can be found on the website https://www.uhasselt.be/en/doctoral-schools/academic-research-competences-course-offer-2022/summer-school-on-discontinuous-galerkin-methods. Any questions? Do not hesitate to contact Jochen via [log in to unmask] ------------------------------------------------------- From: Martin Vohralik [log in to unmask] Date: April 05, 2022 Subject: Discretization and Algebraic Solvers, France, Jun 2022 Workshop on Interplay of discretization and algebraic solvers, June 2022 We are organizing a workshop on Interplay of discretization and algebraic solvers: a posteriori error estimates and adaptivity. Originally scheduled in March 2020, it will take place on June 8 - 10 2022 at Inria Paris. Main topics are a posteriori error estimates and adaptivity for numerical discretizations of partial differential equations, linear algebraic solvers, and particularly their interplay (stopping criteria, design of adaptive h or p refinement under inexact solvers, design of algebraic solvers on hp grids), as well as h and p robustness and material properties robustness. There is no workshop fee. However, registration at [log in to unmask] is compulsory. All the details can be found at https://project.inria.fr/gatipor/events/workshop2020/. ------------------------------------------------------- From: Niall Madden [log in to unmask] Date: April 05, 2022 Subject: Registraion Open, ILAS, Ireland, Jun 2022 Registration has opened for the 24th Conference of the International Linear Algebra Society, to be held in Galway (Ireland), June 20-24 2022 (postponed from June 2020). Plenary speakers of interest to the NA Community include Ilse Ipsen, Paul Van Dooren, Pauline van den Driessche, Misha E. Kilmer, and Nicolas Gillis. The conference includes minisymposia on a broad range of topics related to linear algebra, including numerical linear algebra for PDEs, quantum information, tensors for signals and systems, and linear algebra education. Submissions for contributed talks and poster presentations are also welcome. For more information, see http://ilas2020.ie/, or contact Niall Madden or any of the other local organisers. ------------------------------------------------------- From: Jakub Sistek [log in to unmask] Date: April 16, 2022 Subject: DD27, Czech Republic, Jul 2022 We would like to inform you about the extended deadline for submitting abstracts of contributed talks and posters for the DD27 conference, which is April 30, 2022. The 27th International Conference on Domain Decomposition Methods (DD27) will be held in Prague, Czech Republic during July 25-29, 2022. We invite contributions fitting the themes of DD27, namely various aspects of domain decomposition methods in relation to numerical analysis, scientific computing, high performance computing, and computational science with industrial applications. DD27 is organised jointly by the VSB - Technical University of Ostrava, the Institute of Mathematics of the Czech Academy of Sciences, Prague, and the Czech Technical University in Prague. The organizing committee hopes that the conference will restart the standard conference scheme after the COVID restrictions. Hence, the conference is planned as on-site. Nevertheless, registered participants who will finally not be able to attend the conference will be given the option to participate remotely by means of a hybrid event. In addition, there is also an option of on-line participation without a talk with a significantly reduced conference fee. For more information, please visit the conference website at http://www.dd27.cz ------------------------------------------------------- From: Calina Durbac [log in to unmask] Date: April 04, 2022 Subject: Early Career Mathematicians' Colloquium, UK, Jul 2022 Registration and abstract submissions are now open for the British Early Career Mathematicians' Colloquium (BECMC). The BECMC will be held on the 21st - 22nd July 2022 at the University of Birmingham. This will be a two-day event aimed at PhD students and early career mathematicians. It offers participants a valuable opportunity to network with others in their field, gain an insight into the active areas of research in a wide range of mathematical disciplines, and give a talk in a relaxed and friendly environment. The deadline for submission of abstracts will be 20th May 2022 with the deadline for registration being 23rd June 2022. (For more details, please visit https://web.mat.bham.ac.uk/BYMC/BECMC22/.) The committee recognises that the standard of access at academic conferences across the UK is largely unacceptable. Our team are working to improve this within their capabilities, both for this BECMC 2022 and for future conferences. Please see our website for full details about the accessibility at the conference. For any questions or concerns, please email the committee on [log in to unmask] Key dates: The BECMC: 21st - 22nd July 2022 The deadline for registration: 23rd June 2022 The deadline for submission of abstracts: 20th May 2022 First call for abstract submissions to the British Early Career Mathematicians' Colloquium (BECMC) 2022 The BECMC will be held on the 21st - 22nd July 2022 at the University of Birmingham. This will be a two-day event aimed at PhD students and early career mathematicians. It offers participants a valuable opportunity to network with others in their field, gain an insight into the active areas of research in a wide range of mathematical disciplines, and give a talk in a relaxed and friendly environment. The deadline for submission of abstracts is Friday 20th May 2022 so please send your abstracts to [log in to unmask] (For more details, please visit https://web.mat.bham.ac.uk/BYMC/BECMC22/.) ------------------------------------------------------- From: Volker John [log in to unmask] Date: April 09, 2022 Subject: Numerical Methods and Analysis in CFD, Germany, Jul 2022 This workshop is devoted to modern numerical methods for solving equations from fluid dynamics, such as Stokes and Navier-Stokes equations, convection-diffusion-reaction or reaction-diffusion equations, and coupled systems. Topics include as well the numerical analysis of such methods as their use in simulating problems from applications. Plenary speakers: Alexandre Ern (Universite Paris-Est); Michael Feischl (TU Wien); Julia Novo (Universidad Autonoma de Madrid); Joachim Schoberl (TU Wien). Deadline for submission of abstracts for talks is June 01, 2022 For more information and contact, please visit https://www.wias-berlin.de/workshops/NUM_CFD22/ ------------------------------------------------------- From: Florent de Dinechin [log in to unmask] Date: April 07, 2022 Subject: Computer Arithmetic, ARITH 2022, ONLINE, Sep 2022 29th IEEE International Symposium on Computer Arithmetic (ARITH 2022) September 12-14, 2022 (virtual conference) https://arith2022.arithsymposium.org/ Computer arithmetic has always been at the core of the digital age, and is currently driving innovation in domains such as artificial intelligence, high-performance computing, signal processing, and security. Since 1969, the ARITH symposia have served as the premier conference for presenting the latest research in computer arithmetic. Due to the uncertainty of the world health situation and travel restrictions, the 29th edition of the symposium, ARITH 2022, will be a virtual conference with live presentation of research results, keynote talks, and panels. ARITH 2022 welcomes submissions of conference papers (less than 8 pages in the IEEE CS Conference format) describing recent scientific advances related to computer arithmetic. Accepted papers will be included in the conference proceedings and in the IEEE Xplore Digital Library. Detailed submission procedure available at https://arith2022.arithsymposium.org/call.html ------------------------------------------------------- From: Leo Liberti [log in to unmask] Date: April 02, 2022 Subject: Global Optimization Workshop, HUGO22, Hungary, Sep 2022 Dear all, please consider attending this Global Optimization Workshop (GOW). Here's the call for papers. Submission deadline for 4-page abstracts: April 30. The organizers are trying to ascertain how many people will attend, so if you're even just considering this workshop, please fill this "possible attendance" form . Second Call for Papers to HUGO 2022 - XV. Global Optimization Workshop University of Szeged, Szeged, Hungary, 5-8 September 2022, hybrid setting http://www.inf.u-szeged.hu/hugo/ This workshop organized by the University of Szeged offers a traditional forum for researchers and practitioners to discuss new issues, challenging problems, advanced solutions and new trends in global optimization. Since 1985, a tradition of Global Optimization Workshops exists that senior researchers and PhD students meet in a single-stream session environment to discuss approaches, algorithms and challenging applications in the field of global optimization. You will also have the opportunity to visit Szeged, the sunniest city in Hungary that is famous for its vibrant atmosphere, spectacular festivals and last but not least for its internationally acclaimed university. The University of Szeged gave Albert Szent-Gyorgyi the Nobel-prize awarded scientist to the world, and nurtured Katalin Kariko the world renowned biochemist. We also take great pride in the fact that the University of Szeged has been the best Hungarian university for several years according to QS World University Rankings. Plenary speakers: Inmanuel Bomze, University of Vienna; Marco Locatelli, University of Parma; Ruth Misener, Imperial College London. Contact: [log in to unmask] ------------------------------------------------------- From: Roland Maier [log in to unmask] Date: April 19, 2022 Subject: Uncertainty, Adaptivity and Machine Learning, Germany, Sep 2022 We are pleased to announce the Summer School "Uncertainty, Adaptivity, and Machine learning" to be held at the Augsburg University, Germany, September 12-14, 2022. In this three-day event, Michael Feischl (TU Vienna), Elisabeth Ullmann (TU Munich), and Robert Scheichl (U Heidelberg) will present numerical methods for solving PDEs with a focus on optimal adaptive discretization using machine learning, numerical methods for PDEs with random inputs, and solving large-scale Bayesian inverse problems. In addition to the thematic lectures, participants will have the opportunity to (shortly) present their own research and to network at a social event. Registration is free. Note that travel reimbursement can be provided for some participants. For more details and information regarding registration, please visit: https://www.uni-augsburg.de/de/fakultaet/mntf/math/prof/numa/veranstaltungen/uam-school/ ------------------------------------------------------- From: Luca Paglieri [log in to unmask] Date: April 04, 2022 Subject: Modelling the Cardiac Function, Italy, Sep-Oct 2022 2022 iHEART Congress Modelling the Cardiac Function Cetraro (IT), September 30 - October 2, 2022 https://iheart.polimi.it/mcf2022 This congress aims at highlighting the state of the art in the mathematical modelling and numerical simulation of the cardiac function and its clinical applications. Previous edition have taken place in 2021, 2020 and 2019. The event will host plenary lectures from distinguished scientists as well as contributed talks and a poster session. The event will take place in presence; in case the present pandemic should be still ongoing, the conference will be possibly held online in the same days. Final confirmation will be given no later than 3 months before the starting date. Organizers are: Alfio Quarteroni, Luca Dede', Andrea Manzoni, Christian Vergara, Paolo Zunino. Plenary speakers: Gerhard Holzapfel (Graz University of Technology, AT, and Norwegian University of Science and Technology), Alison Marsden (Stanford University, CA USA), Gernot Plank (Medical University of Graz, AT), Michael Sacks (University of Texas, TX USA), Charles Taylor (Heartflow Inc, CA USA), Natalia Trayanova (Johns Hopkins University, Baltimore, MD USA), Roberto Verzicco (Universita di Roma "Tor Vergata", IT) The conference is organized by MOX - Politecnico di Milano, with the support of the EU ERC - ADG - Advanced Grant iHEART - Project ID: 740132 Contributed talks (15 min) are welcome. A poster session reserved to young researchers (PhD students and postdoctoral researchers) will be organized as well. Deadline for talk or poster abstract submission is May 31, 2022. For more information, abstract submission and registration, visit https://iheart.polimi.it/mcf2022 ------------------------------------------------------- From: Lehel Banjai [log in to unmask] Date: April 08, 2022 Subject: Chair Position, Computational Mathematics, Heriot-Watt Univ The Department of Mathematics at Heriot-Watt University, Edinburgh, UK is looking to appoint a Chair in Computational Mathematics to lead its activities in computational mathematics and numerical analysis. The details of the post and how to apply can be found at: https://enzj.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/1953/?utm_medium=jobshare The closing date for applications is May 13th, 2022. ------------------------------------------------------- From: Emmanuil Georgoulis [log in to unmask] Date: April 07, 2022 Subject: Full Professor Positions, Computational Modelling The School of Computing and Mathematical Sciences at the University of Leicester is advertising for Fully Professor (Chair) positions in Computational Modelling (and also in AI, OR/Optimization, and Software Engineering). \ More details can be found here: https://jobs.le.ac.uk/vacancies/5208/professors-in-ai-computational-modelling-operational-research-and-software-engineering.html Applicants in the areas of Numerical Analysis and/or Scientific Computing are particularly encouraged to apply. For any informal enquiries you may contact either Lu Liu ([log in to unmask] , Head of School) or Emmanuil Georgoulis ([log in to unmask]). ------------------------------------------------------- From: Josef Malek [log in to unmask] Date: April 01, 2022 Subject: Assistant Professor Position, NA/Sci Comp, Charles Univ The Faculty of Mathematics and Physics of Charles University (Prague, Czech Republic) has opened a call for an Assistant Professor position in the field of Numerical Analysis and Scientific Computing. The details are available from: https://www.mff.cuni.cz/en/faculty/job-opportunities/open-competition/academic-positions-application-deadline-april-20-2022 The position is also announced at https://www.mathjobs.org/jobs/list/19542, where further details are given. The deadline for applications is April 20, 2022. ------------------------------------------------------- From: Marion Weinzierl [log in to unmask] Date: April 14, 2022 Subject: Research Software Engineer Positions, Durham Univ, UK We are recruiting two Research Software Engineers for our team at Advanced Research Computing (ARC), Durham University, UK. We are looking in particular for people with skills in web and mobile apps, machine learning or High Performance Computing. Additionally, we are looking for an RSE with experience in the field of X-Ray Crystallography for an upcoming project. Grade 7: - 34,304 - 40,927 GBP per annum Fixed Term - Full Time Contract Duration: 3 years fixed term in the first instance Contracted Hours per Week: 35 Closing Date: 29-Apr-2022, 11:59:00 PM ARC encourages flexible working and welcomes applications from candidates wanting to be part time or part of a job share arrangement. All the details here: https://durham.taleo.net/careersection/du_ext/jobdetail.ftl?job=22000526 ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: April 11, 2022 Subject: Research Technician Position, Minimax Risk Classifiers, BCAM Basque Center for Applied Mathematics - BCAM offers Research Technician position in Minimax Risk Classifiers to work in Supervised learning by robust risk minimization. Statistical learning techniques that minimize the worstcase expected loss. Generalized maximum entropy methods for supervised learning at Machine Learning Group with Dr. Santiago Mazuelas. Deadline: 29th April 2022 More info and applications at: http://www.bcamath.org/en/research/job/ic2022-03-research-technian-in-minimax-risk-classifiers Requirements: Bachelor's degree in Mathematics finished or near to be finished. Experience working with Matlab. Skills: Good interpersonal skills. Ability to present and publish research outcomes in spoken (talks) and written (papers) form. Ability to effectively communicate and present research ideas to researchers and stakeholders with different backgrounds. The preferred candidate will have: Strong background in mathematics/ probability/statistics. Interest and disposition to work in interdisciplinary groups. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: April 11, 2022 Subject: Research Technician Position, Statistical Physics, BCAM Basque Center for Applied Mathematics - BCAM offers a Research Technician position in Statistical Physics to work in Statistical Analysis of Growing Areas Simulated by a Cellular-Automata Model of Wildfires with Dr. Gianni Pagnini at Statistical Physics research line. Deadline: 29th April 2022 More info and applications at: http://www.bcamath.org/en/research/job/ic2022-03-research-technician-in-statistical-physics Requirements: Promising graduate student with interest in environmental applications of mathematics and/or physics and/or engineering. Candidates must have their Master degree preferable in Applied Mathematics, Physics, Computer Science, Environmental Engineering, or related fields. Skills: Interdisciplinary thinking. Good interpersonal skills. Demonstrated ability to work independently and creatively as part of a collaborative research team. Master thesis with solid computational basis. Fluency in spoken and written English. The preferred candidate will have: Basic background in Mathematics included numerical analysis. Basic knowledge of Statistics and Probability included Monte Carlo simulations and/or cellular automata. Working knowledge of Programming Languages: C++, python, &. Working knowledge of the GIS platform is appreciated. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: April 09, 2022 Subject: Data Science Research Technician Position, BCAM Basque Center for Applied Mathematics - BCAM offers Research Technician position to work with the Knowledge Transfer Unit - KTU in Data Analysis, Statistics (regression methods, time series, multivariate analysis, clustering methods), Machine Learning techniques (e.g.: neural networks, random forests, decision trees, SVM's etc.) and Optimization (linear programming, multi-objective optimization, large-scale optimization etc.) topics. The researcher will collaborate in knowledge transfer projects with industry and research entities. Will work in Statistical and Machine Learning data analysis and participation in research projects, including: Data processing, data management and data analysis; Writing code to analyse data and produce results; Summarizing and interpreting data and results; Preparing, producing, updating and automating reports; Elaborating interim and final analysis of research projects; Assisting and preparing presentations to stakeholders. And will contribute in the preparation and production of scientific publications and report. Deadline: 22 April 2022 More info and application: http://www.bcamath.org/en/research/job/ic2022-03-research-technician-on-data-science-a-bcam-knowledge-transfer-unit Requirements: Master's and or PhD degree in Statistics, Computer Science, or a closely related field. Strong background in Statistics and Mathematics and Computer Science. Fluency in spoken and written Spanish and English. Skills: Knowledge of advanced statistical methods and/or machine learning techniques, data base management and data visualization. Ability to analyse data, perform statistical analysis, elaborate scientific reports and interpret results. Experience with statistical software packages and good programming skills in R, Python and/or MATLAB. Knowledge in database languages (e.g. SQL) and Big Data technologies (e.g. Hadoop, etc) are valuable. Strong analytical and problem-solving skills. Strong programming skills. Ability to read scientific publications and implement mathematical algorithms. Good interpersonal skills. Ability to effectively communicate and present research ideas to researchers and stakeholders with different backgrounds. Demonstrated high level written and oral communication skills. Demonstrated ability to work independently and as part of a collaborative research team. ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: April 08, 2022 Subject: Research Assistant Position, Optimization with PDEs, Germany WIAS invites in the Research Group "Nonsmooth Variational Problems and Operator Equations" (Head: Prof. Dr. M. Hintermuller) applications for a Research Assistant Position (f/m/d) (Ref. 22/15) to be filled at the earliest possible date. Field of work: Optimization with partial differential equations. The holder of the position is qualified in a modern field of optimization with partial differential equations. Of particular interest are non-smooth coupled systems and data-driven (e.g. machine learning) approaches to modeling and optimization, variational problems in mathematical image processing or nonlinear inverse problems. In addition to analytical considerations, the development and implementation of numerical solution methods are of central importance. Wanted: A motivated, outstanding researcher with a very good degree and excellent doctorate in mathematics as well as previous experience in the fields mentioned above with the willingness to take on responsibility for interdisciplinary projects. Further experience within the framework of independent research in a postdoctoral phase as well as very good knowledge in one or more of the areas: Optimal control with partial differential equations and numerical solution methods; (Quasi-)Variational inequalities and their optimal control; Non-smooth variational problems, e.g. with applications in image processing or nonlinear inverse problems; as well as experience in the computer-aided realization of the associated numerical solution methods. This position is associated with the production of publications in international peer-reviewed journals, presentation of the results at international conferences and co-support of students working at WIAS in this field as bachelors, masters or doctoral students. Technical queries should be directed to Prof. Dr. Michael Hintermuller ([log in to unmask]). The position is remunerated according to TVoD Bund and is initially limited to two years, while a long-term perspective is envisioned. The Institute aims to increase the proportion of women in this field, so applications from women are particularly welcome. Among equally qualified applicants, disabled candidates will be given preference. Please upload your complete application documents, including cover letter, curriculum vitae and certificates, via our applicant portal as soon as possible but not later than May 8th, 2022 using the button "Apply online". We are looking forward to your application! See here for more information: https://short.sg/j/17405130 ------------------------------------------------------- From: Timo Heister [log in to unmask] Date: April 02, 2022 Subject: Postdoc Position, Computational Mathematics, Clemson Univ I would like to invite applications for a Postdoc position to join my research group in computational mathematics at Clemson University. A successful candidate will work in the area of numerical methods for finite element discretizations. Expertise in high performance computing and the finite element method is expected. Additionally, expertise in open source software development, c++, high-performance computing, linear solvers, and visualization is a plus. The position involves development of the open source library deal.II. For more information see www.mathjobs.org/jobs/list/19787 and feel free to contact me directly for questions. ------------------------------------------------------- From: Brittany Erickson [log in to unmask] Date: April 04, 2022 Subject: Postdoc Position, HPC/Earthquake Cycle Models, Univ of Oregon This postdoc position will involve research in high-performance computing techniques for numerical partial differential equations (PDEs) and their use in large-scale earthquake simulations in complex fault networks. The postdoc will develop the computational infrastructure for a 3D code based on finite-difference methods, integrating GPU acceleration with advanced techniques in numerical linear algebra. The ideal candidate will have experience in the following areas: high-performance computing for PDEs, experience developing optimized GPU kernels. The ideal candidate will also have experience in some of the following areas: finite difference and/or finite element methods, computational earthquake seismology (fault friction and earthquake dynamics), large-scale numerical linear algebra techniques. In addition, the candidate will conduct interdisciplinary research, exploring science questions spanning topics in both applied mathematics and earthquake seismology. The successful candidate will have the ability to work effectively with faculty, staff, and students from Earth sciences, applied mathematics, and computer science. They will have opportunities to mentor graduate students and integrate student contributions to code development, leading the charge in the creation of a publicly available, HPC-enabled code 3D code for earthquake applications. Preferred Qualifications: Ph.D. in Computer Science, Mathematics, Geophysics, or a related field is desirable; experience in HPC and numerical PDEs. More details and how to apply: https://careers.uoregon.edu/en-us/job/529192/postdoctoral-scholar ------------------------------------------------------- From: Buyang Li [log in to unmask] Date: April 04, 2022 Subject: Postdoc Position, Hong Kong Polytechnic Univ The Hong Kong Polytechnic University, Department of Applied Mathematics, invites well-qualified candidates to apply for a two-year Postdoctoral Fellow position in computational mathematics. The postdoctoral fellow is expected to work in part on the computation of blood flow dynamics and other research within the group's research interests, such as geometric curvature flows, nonlinear wave equations, multi-phase flows, and so on. Candidates with strong background in analysis (rather than coding) is also welcome to apply. The selection will be held in a department committee based on the candidate's publication on recognized good journals. Interested candidates should send a CV with a list of publications to Dr. Buyang Li via email: [log in to unmask] ------------------------------------------------------- From: Giraud [log in to unmask] Date: April 19, 2022 Subject: Postdoc Position, ML/NLA, Airbus-Cerfacs-Inria In the context of a joint team between Airbus C R & T, Cerfacs and Inria a 24 mont posdoc position is available. The partners of the Concace joint project, namely Airbus C R & T - Cerfacs and Inria, have been studying and developing Krylov subspace solvers and associated software packages for the past few years for the parallel solution of large systems of linear equations. In this work, we will be interested in the solution of long sequences of symmetric non-Hermitian problems arising for instance from the solution of the Helmholtz equation in heterogeneous media in the context of a sensitivity or parametric study. A key numerical component to ensure the robustness and the efficiency of these numerical methods is the so-called preconditioner, whose definition requires some a priori knowledge on the properties of the linear system or of the underlying problem. Classical approaches consist in exploiting this algebraic or analytic information. In this work, we intend to investigate how machine learning techniques could be used to improve a prescribed preconditioner or to fully learn one. For more information please refer to https://recrutement.inria.fr/public/classic/fr/offres/2022-04831 or contact Luc Giraud (Inria, [log in to unmask]), Pierre Benjamin (Airbus CRT, [log in to unmask]) or Carola Kruse (Cerfacs, [log in to unmask]) This 24 month position is planned to start on October 1st, 2022 at the very latest. ------------------------------------------------------- From: Mengwu Guo [log in to unmask] Date: April 07, 2022 Subject: Postdoc Position, Scientific Machine Learning, Univ of Twente We are calling for applications for a two-year postdoc position in the Mathematics of Imaging and AI group at University of Twente s Applied Mathematics Department to work in the area of scientific machine learning. Research activities of this postdoc position focus on the synergistic integration of modern numerical methods for PDEs and machine learning techniques. The successful candidate will be working with Dr. Mengwu Guo on Bayesian learning of latent dynamics in the context of computational physics/mechanics. We look for an enthusiastic researcher and team worker who is driven by curiosity and has a strong background of numerical simulation in computational physics/mechanics. In addition, candidates are expected to have demonstrated experiences in at least two of the following research areas: Reduced order modeling, Bayesian inversion, Uncertainty quantification, Neural differential equations, and Bayesian neural networks and/or Gaussian process emulation. Good communication skills are also required for working in a highly collaborative environment. This open position is expected to be filled as soon as possible. Interested candidates are welcome to contact Dr. Mengwu Guo ([log in to unmask]) for further information and send an application package including a motivation letter, an updated CV, and the contact information of two references. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: April 12, 2022 Subject: Postdoc Position, Special Functions and Random Walks, BCAM Basque Center for Applied Mathematics - BCAM offers a Postdoctoral Fellowship position in Special Functions and Random Walks to work with Dr. Gianni Pagnini at Statistical Physics research line inside the Generalized Master Equation for the Continuous-Time Random Walk. The proposed research project is focused on the derivation of the Generalized Master Equation (GME) for the Continuous-Time Random Walk (CTRW) as published in literature, e.g., [1,2], and on its specific determination for fractional diffusion [3]. Actually, the GME depends on a kernel function that is explicitly given in terms of the jumps and waiting-times distributions of the CTRW. Surprisingly, a systematic study concerning the features of the CTRW, the kernel of the GME and the resulting walker's distribution is not provided, yet. The aim of the research is to fill this literature gap in the view of the many applications of the CTRW and in particular because of the recent regime-transitions (exponential-to-fractional-to-Gaussian) observed in anomalous diffusion processes. [1] Klafter J and Silbey R 1980 Phys. Rev. Lett. 44 55-58 [2] Klafter J, Blumen A and Shlesinger M F 1987 Phys. Rev. A 35 3081-3085 [3] Hilfer R and Anton L 1995 Phys. Rev. E 51 R848-R851 Deadline: 29th April 2022 More info and applications at: http://www.bcamath.org/en/research/job/ic2022-03-postdoctoral-fellowship-in-special-functions-and-random-walks Requirements: Applicants must have their PhD completed before the contract starts. Skills: Good interpersonal skills. A proven track record in quality research, as evidenced by research publications in top scientific journals and conferences. Demonstrated ability to work independently and as part of a collaborative research team. Ability to present and publish research outcomes in spoken (talks) and written (papers) form. Ability to effectively communicate and present research ideas to researchers and stakeholders with different backgrounds. Fluency in spoken and written English. The preferred candidate will have: Strong background in special functions and integral transforms. Background in fractional calculus and fractional modelling. Knowledge in statistics and probability. Good programming skills in Mathematica and/or Maple and/or MathLab. Interest and disposition to work in interdisciplinary groups. ------------------------------------------------------- From: Thomas Wick [log in to unmask] Date: April 02, 2022 Subject: Postdoc Positions, Applied Mathematics, Germany The Institute of Applied Mathematics at the Leibniz University Hannover invites applications for two positions of a Research Assistant (Postdoctoral Fellow, m/f/d) in Mathematics (Salary Scale 13 TV-L, 100 %) to be filled as of now, at latest on October 01, 2022. The positions are limited to three years, with the possibility of an extension. For excellent academic achievements during the Postdoc time, there is the possibility of pursuing a habilitation. Responsibilities and duties include research in Applied Analysis, Numerical Mathematics, or Optimization and a teaching load of four hours a week. The focus of teaching is in service classes (in German language) such as numerical mathematics for (high) school teachers and mathematics courses for other faculties. To qualify for the position, applicants should hold a PhD in mathematics. In addition, applicants should have a strong track record in Applied Analysis, or Numerical Mathematics or Optimization. Communication in English is advantageous. Leibniz University Hannover considers itself a family-friendly university and therefore promotes a balance between work and family responsibilities. Part-time employment can be arranged upon request. The university aims to promote equality between women and men. For this purpose, the university strives to reduce under-representation in areas where a certain gender is under-represented. Women are under-represented in the salary scale of the advertised position. Therefore, qualified women are encouraged to apply. Moreover, we welcome applications from qualified men. Preference will be given to equally-qualified applicants with disabilities. For further information, please contact Prof. Dr. Thomas Wick via email [log in to unmask] . Please submit your application (CV, Research Statement, List of Publications) until May 15, 2022 in one single pdf-file to [log in to unmask] The official ad is here: https://www.uni-hannover.de/en/jobs/5098/ ------------------------------------------------------- From: Jose A Cuminato [log in to unmask] Date: April 12, 2022 Subject: Postdoc Postion, ML/Text Mining Post-doc position in machine learning and text mining. This project involves the development of models for automatic inspection from large databases with Electronic Invoices. The objective is to identify fraud and detect overpricing in government data. Text mining methods will be investigated and developed specifically to extract features and improve the information contained in electronic invoices. This information is used by machine learning methods to classify textual segments of electronic invoices, as well as to improve electronic invoices data clustering. It is expected to identify risks and explore relationships between companies, public agencies, and other entities described in the electronic invoices. The candidate will investigate methods for text pre-processing, data clustering, outlier and anomaly detection, and one-class classification. It is recommended that the candidate have expertise in python packages currently used for these activities, such as SkLearn, Keras, and/or PyTorch, as well as graph-based visualization techniques using the Neo4J environment. The candidate will be based in Sao Carlos, Brazil. The post is initially for one year and can be renewed depending on performance. Starting date is from 1st July 2022. To apply, please send a CV and a reference letter to [log in to unmask] Applications are open until May 25, 2022. ------------------------------------------------------- From: Peter Kritzer [log in to unmask] Date: April 17, 2022 Subject: PhD and Postdoc Position, NA, Austria We advertise a PhD Position (3 yrs.) and a Post-Doc Position (1-2 yrs.) in the field of Information-Based Complexity at JKU Linz and at RICAM of the Austrian Academy of Sciences, respectively. Both positions will be supervised in cooperation by Aicke Hinrichs and Peter Kritzer. The PhD Position is formally affiliated with JKU Linz, while the Post-Doc Position is affiliated with RICAM. Both positions remain open until suitably filled. Further details on the PhD Position are available at: https://www.jku.at/fileadmin/gruppen/80/Stellenausschreibungen_E/4803_ Homepage_E_06.04.2022.pdf Further details on the Post-Doc Position are available at: https://www.oeaw.ac.at/fileadmin/Institute/RICAM/pdf/jobs/2022/RICAM05 3PD222.pdf ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: April 07, 2022 Subject: PhD Position, Fluid Dynamics Modelling, BCAM In the framework of the BCAM "Mathematical Modelling Applied to Health" strategy, a series of projects will be launched in different areas of AppliedMathematics. The "Computational Fluid Dynamics" research line (http://www.bcamath.org/en/research/lines/CFDMS) at the BCAM looks for a PhD candidate to work in the project: "Mesoscopic fluid dynamics modelling and simulation of virus transport" The coronavirus SARS-CoV-2 (as well as other viruses), consist of a nanoscale spherical capsid decorated with protruding functional proteins. The alignment of the such proteins with specific receptors of the human cells determines the linkage and further insertion of the viral genetic material into the cells. At the nanoscale, the rotational diffusion of such decorated objects may exhibit characteristic deviations compared to a simple nanosphere. Moreover, the type and distribution of the surrounding proteins can provide rotational signatures that differentiate various types of virus, thus providing relevant biomarkers. The goal of this PhD project is to explore the potential of microrheological characterization of viral solutions as a tool for virus-identification and characterization. The effect of the decorating-proteins morphology and distribution over the dynamics of virus will be investigated using the smoothed dissipative particle dynamics method. The results of this project will provide relevant mesoscopic information to construct a multiscale framework to investigated viral pathologies. The PhD candidate will work under the supervision of Ikerbasque Prof. Marco Ellero (CFD group, BCAM) on the developments and use of mesoscopic particle-simulation methods to better understand changes in the translational and rotational diffusivity of viruses. Experimental collaborations with the Dr. Padilla's Lab at Kings College (https://www.kcl.ac.uk/research/padilla-parra-lab) as well as with groups at CICbiomagune and BioDonostia in San Sebastian are foreseen. Requirements: Bachelor's or Master's degree in Physics, Enginering or Applied Mathematics More info and application at: http://www.bcamath.org/en/research/job/ic2022-03-phd-position-in-mesoscopic-fluid-dynamics-modelling-and-simulation-of-virus-transport Deadline: 19 April 2022 ------------------------------------------------------- From: Wim Michiels [log in to unmask] Date: April 14, 2022 Subject: PhD Position, KU Leuven, Belgium In the Numerical Analysis and Applied Mathematics (NUMA) section of KU Leuven, Belgium, there is a vacancy for a four year, fully funded PhD position on "Mathematical and computational approaches for analysis and control of complex dynamical systems". A description of the PhD project, at the intersection of the computational mathematics, and dynamical systems and control, the desired profile of the applicants, the hosting research group and university, as well as application instructions can be found at https://www.kuleuven.be/personeel/jobsite/jobs/60111329 Applications will be considered as soon as they are received, and the opening will be closed as soon as a suitable candidate has been hired. The formal application deadline is June 7, 2022. ------------------------------------------------------- From: Silke Glas [log in to unmask] Date: April 02, 2022 Subject: PhD Position, Numerical Mathematics, Univ of Twente Applications are invited for a four-year PhD position under the supervision of Silke Glas in the Department of Applied Mathematics at the University of Twente, the Netherlands. This topic of this PhD position is centered around "but not limited to" developing methods to perform model reduction of dynamical systems, both concerning analysis and application. The aim is to develop reduced models on manifolds while possibly preserving the structure of the given high-dimensional equation, which can be, e.g., Hamiltonian or port- Hamiltonian. For the explicit construction of the reduced model, recent methods utilizing machine learning techniques will be reviewed and further methods will be developed/newly created. More information on this position and on how to apply can be found here: https://utwentecareers.nl/en/vacancies/485/phd-position-in-numerical- mathematics/ Applications received prior to April 15, 2022 will receive full consideration, but applications will be accepted until the position is filled. For any questions, please contact Silke Glas [log in to unmask] directly. ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: April 08, 2022 Subject: PhD Position, Optimization Methods for DL, WIAS, Germany WIAS invites in the Research Group "Nonsmooth Variational Problems and Operator Equations" (Head: Prof. Dr. M. Hintermuller) applications for a PhD student position (f/m/d) on optimization methods for deep learning (Ref. 22/13) to be filled at the earliest possible date. The position is associated to the MATH+ Cluster of Excellence project EF1-15 \Robust Multilevel Training of Artificial Neural Networks". The project aims to develop novel methods for training nonsmooth artificial neural networks with emphasis on their theoretical analysis, algorithmic implementation and related applications (e.g. deep learning-based numerical solution of PDEs and their optimal control). We are looking for: a motivated and enthusiastic candidate with an above-average master s degree in mathematics and a solid background in mathematical optimization, numerical analysis, scientific computing, functional analysis and partial differential equations. Strong programming skills are highly desired. Technical queries should be directed to Prof. Dr. Michael Hintermuller ([log in to unmask]). The position is remunerated according to TVoD Bund and is limited to three years. The Institute aims to increase the proportion of women in this field, so applications from women are particularly welcome. Among equally qualified applicants, disabled candidates will be given preference. Please upload your complete application documents (motivation letter, detailed CV, certificates, list of MSc courses and grades, copy of the master thesis, reference letters, etc.) via our applicant portal using the button Apply online". The advertisement is open with immediate effect and will remain open until the position will be filled. We are looking forward to your application! See here for more information: https://short.sg/j/17401442 ------------------------------------------------------- From: Andreas Adelmann [log in to unmask] Date: April 12, 2022 Subject: PhD Positions, Bayesian Calibration Methodology for Complex Models Data assimilation is a mathematical discipline that seeks to optimally combine theory with observations. There may be a number of different goals sought, for example - to determine the optimal state estimate of a system, to determine initial conditions for a numerical forecast model, to interpolate sparse observation data using physical knowledge of the system being observed, to train numerical model parameters based on observed data. De- pending on the goal, different solution methods may be used. Data assimilation is distinguished from other forms of machine learning, image analysis, and statistical methods in that it utilizes a dynamical model of the system being analyzed. The ultimate outcome of this research project is to provide the accelerator & nuclear reactor modelling community with an open source data assimilation toolbox for non-linear, time-dependent models, potential model inadequacy and inconsistency in the experimental data. The methodology will be provided with a set of prescriptions on how to use it depending on the features of the modelling problem at hand. Details of the particle accelerator related project can be found at: https: //www.psi.ch/en/pa/job-opportunities/50893-phd-student or contact Andreas Adelmann andreas.adelmannATpsi.ch directly. Details of the project related to the modeling of nuclear fuel under irradi- ation can be found at: https://www.psi.ch/en/pa/job-opportunities/ 50608- phd-student-data-assimilation-index-no-4102-01 or contact Math- ieu Hursin mathieu.hursinATpsi.ch directly. ------------------------------------------------------- From: Ed Saff [log in to unmask] Date: March 30, 2022 Subject: Contents, Constructive Approximation, 55 (1-2) Constructive Approximation Volume 55, Issue 1 Table of Contents: CA Special Issue on Neural Network Approximation Introduction to CA Special Issue on Neural Network Approximation, Wolfgang Dahmen, Ronald A. DeVore, & Philipp Grohs DNN Expression Rate Analysis of High-Dimensional PDEs: Application to Option Pricing, Dennis Elbrachter, Philipp Grohs, Arnulf Jentzen, & Christoph Schwab A Theoretical Analysis of Deep Neural Networks and Parametric PDEs, Gitta Kutyniok, Philipp Petersen, Mones Raslan & Reinhold Schneider Nonlinear Approximation and (Deep) ReLU Networks, I. Daubechies, R. DeVore, S. Foucart, B. Hanin & G. Petrova Neural Network Identifiability for a Family of Sigmoidal Nonlinearities, Verner Vlacic & Helmut Bolcskei Depth Separations in Neural Networks: What is Actually Being Separated?q Itay Safran, Ronen Eldan & Ohad Shamir Approximation Spaces of Deep Neural Networks, Remi Gribonval, Gitta Kutyniok, Morten Nielsen & Felix Voigtlaender The Barron Space and the Flow-Induced Function Spaces for Neural Network Models, Weinan E, Chao Ma, & Lei Wu Universal Approximations of Invariant Maps by Neural Networks, Dmitry Yarotsky Robust and Resource-Efficient Identification of Two Hidden Layer Neural Networks, Massimo Fornasier, Timo Klock & Michael Rauchensteiner Exponential ReLU DNN Expression of Holomorphic Maps in High Dimension, J. A. A. Opschoor, Ch. Schwab & J. Zech Best k-Layer Neural Network Approximations, Lek-Heng Lim, Mateusz MichaBek & Yang Qi Constructive Approximation Volume 55, Issue 2 Table of Contents Markov's Theorem for Weight Functions on the Unit Circle, Kenier Castillo Distortion and Critical Values of the Finite Blaschke Product, V. N. Dubinin Discrete Self-adjoint Dirac Systems: Asymptotic Relations, Weyl Functions and Toeplitz Matrices, Alexander Sakhnovich Microlocal Analysis and Characterization of Sobolev Wavefront Sets Using Shearlets, Bin Han, Swaraj Paul & Niraj K. Shukla Fourier Multipliers on a Vector-Valued Function Space, Bae Jun Park Numerical Integration and Discrepancy Under Smoothness Assumption and Without It, V. N. Temlyakov ------------------------------------------------------- From: Irena Lasiecka [log in to unmask] Date: April 19, 2022 Subject: Contents, Evolution Equations and Control Theory, 11 (3) Contents:Evolution Equations and Control Theory, Vol 11 Nr 3, 2022 Pseudo S-asymptotically Bloch type periodic solutions to a damped evolution equation, Siqi Chen, Yong-Kui Chang and Yanyan Wei Initial boundary value problem for a strongly damped wave equation with a general nonlinearity, Hui Yang and Yuzhu Han Optimal control problems governed by two dimensional convective Brinkman-Forchheimer equations, Manil T. Mohan Exact controllability and stabilization for a general internal wave system of Benjamin-Ono type, Jose R. Quintero and Alex M. Montes On the stabilization for the high-order Kadomtsev-Petviashvili and the Zakharov-Kuznetsov equations with localized damping, Roger P. de Moura, Ailton C. Nascimento and Gleison N. Santos Exponential stability for a multi-particle system with piecewise interaction function and stochastic disturbance, Yipeng Chen, Yicheng Liu and Xiao Wang Local null controllability for a parabolic equation with local and nonlocal nonlinearities in moving domains, Andre da Rocha Lopes and Juan Limaco The lifespan of solutions for a viscoelastic wave equation with a strong damping and logarithmic nonlinearity, Menglan Liao Functional inequalities involving nonlocal operators on complete Riemannian manifolds and their applications to the fractional porous medium equation, Nikolaos Roidos and Yuanzhen Shao On a class of differential quasi-variational-hemivariational inequalities in infinite-dimensional Banach spaces, Savin Treanca On the Cauchy problem for a derivative nonlinear Schrodinger equation with nonvanishing boundary conditions, Phan Van Tin Persistence of superoscillations under the Schriodinger equation, Elodie Pozzi and Brett D. Wick Long-time behavior of a size-structured population model with diffusion and delayed birth process, Dongxue Yan and Xianlong Fu Neutral delay Hilfer fractional integrodifferential equations with fractional brownian motion, Yousef Alnafisah and Hamdy M. Ahmed Local stabilization of viscous Burgers equation with memory, Wasim Akram and Debanjana Mitra Solvability of doubly nonlinear parabolic equation with p-laplacian, Shun Uchida ------------------------------------------------------- End of Digest **************************