Subject: NA Digest, V. 21, # 38 NA Digest Tuesday, October 12, 2021 Volume 21 : Issue 38 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Anymatrix MATLAB toolbox, version 1.0 MPLAPACK version 1.0.0 released New release, preCICE v2.3 Householder Symposium XXI, Jun 2022 Senior Research Scientist Position, Scientific Computing, Simula Professor Position, Hertz Chair, Univ of Bonn Faculty Position, Comp Medicine and Math, UNC-Chapel Hill Faculty Position, Computing and Mathematical Sciences, Caltech Faculty Position, Data Science, IISER Pune, India Tenure Track Position, Applied and Comp Math, Florida State Univ Hooke Fellowship Positions, Oxford Wilkinson Fellowship Position, Scientific Computing, Argonne Postdoc Position, Battery Simulation, KIT Postdoc Position, Exascale Computing Postdoc Position, Florida State Univ Postdoc Position, ML/Digital Twins, Oden Institute, UT Austin Postdoc Position, Neural Network Training, Sandia NL Postdoc Position, Scientific ML, Sandia National Laboratories Postdoc Positions, Sci Comp/Stats/Imaging/ML, CCM, Flatiron Inst PhD Position, Comp Science and Engineering, Umea Univ PhD Position, Numerical Analysis and Simulation, HKU PhD Positions, Numerical Analysis, Univ of Bologna, Italy Contents, Electronic Transactions on NA (ETNA), 54 Contents, Iranian J of Numerical Analysis and Optimization, 11 (2) Contents, Numerical Algorithms, 88 (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: Nick Higham [log in to unmask] Date: October 11, 2021 Subject: Anymatrix MATLAB toolbox, version 1.0 We have just released version 1.0 of Anymatrix, a MATLAB toolbox that provides an extensible collection of matrices, organized in groups, with the ability to search the collection by matrix properties. Notable features include: - a large collection of Hadamard matrices - real-life matrices from networks - matrices built-in to MATLAB (including gallery) can be searched by property For the software and documentation see https://github.com/mmikaitis/anymatrix Nick Higham and Mantas Mikaitis ------------------------------------------------------- From: NAKATA Maho [log in to unmask] Date: October 09, 2021 Subject: MPLAPACK version 1.0.0 released The MPLAPACK (formerly MPACK) is a multiple-precision version of LAPACK (https://www.netlib.org/lapack/) MPLAPACK version 1.0.0 is based on the LAPACK version 3.9.1 and translated from Fortran 90 to C++ using FABLE, a Fortran to C++ source-to-source conversion tool (https://github.com/cctbx/cctbx_project/tree/master/fable). MPLAPACK version 1.0.0 provides the real and complex version of MPBLAS, and the real version of MPLAPACK supports all LAPACK features: solvers for systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems, and related matrix factorizations except for rectangular complete packed matrix form and mixed-precision routines. Besides, MPLAPACK supports a part of the complex routines of LAPACK, such as diagonalization of Hermite matrices, Cholesky factorization, and matrix inversion. The MPLAPACK defines an API for numerical linear algebra, similar to LAPACK. It is easy to port legacy C/C++ numerical codes using MPLAPACK. MPLAPACK supports binary64, binary128, FP80 (extended double), MPFR, GMP, and QD libraries (double-double and quad-double). Users can choose MPFR or GMP for arbitrary accurate calculations, double-double or quad-double for fast 32 or 64 decimal calculations. We can consider the binary64 version as the C++ version of LAPACK. MPLAPACK is available at GitHub (https://github.com/nakatamaho/mplapack) under the 2-clause BSD license. ------------------------------------------------------- From: Benjamin Uekermann [log in to unmask] Date: October 07, 2021 Subject: New release, preCICE v2.3 A new preCICE release, v2.3, is just out. The new version comes with much improved memory footprint of mesh data structures, better capabilities to couple many solvers fully implicitly, and many usability improvements. More information: https://precice.discourse.group/t/highlights-of-the-new-precice-release-v2-3/750 What is preCICE? https://www.precice.org/ preCICE is a coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations. The software offers methods for transient equation coupling, communication, and data mapping. preCICE is written in C++ and offers additional bindings for C, Fortran, Matlab, and Python. Ready-to-use adapters for many solvers, such as OpenFOAM, deal.II, FEniCS, SU2, or CalculiX, are available. Due to the minimally-invasive approach of preCICE, adapters for in-house codes can be implemented and validated in only a few weeks. preCICE is an open-source software under the LGPL3 license. ------------------------------------------------------- From: Heike Faßbender [log in to unmask] Date: October 07, 2021 Subject: Householder Symposium XXI, Jun 2022 The Householder Symposium XXI on Numerical Linear Algebra has been rescheduled to be held at Hotel Sierra Silvana, Selva di Fasano (Br), Italy, 12-17 June 2022. The Symposium is very informal, with the intermingling of young and established researchers a priority. Attendance is by invitation only. Each attendee will be given the opportunity to present a talk or a poster. Some talks will be plenary lectures, while others will be shorter presentations arranged in parallel sessions. Participants are expected to attend the entire meeting. Anyone accepted for HHXI in 2020 has a valid invitation for 2022. In February 2022, we will re-open the application process to fill any vacancies that arise due to cancellations as a result of the new situation. Applications will be solicited from researchers in numerical linear algebra, matrix theory, and related areas such as optimization, differential equations, signal processing, control, and data science. ------------------------------------------------------- From: Marie E Rognes [log in to unmask] Date: October 06, 2021 Subject: Senior Research Scientist Position, Scientific Computing, Simula Simula Research Laboratory invites applications for one Senior Research Scientist position in the field of Scientific Computing. Scientific Computing at Simula focuses on fundamental research of an interdisciplinary nature targeting important problems in science and society. Applicants are expected to develop and sustain a research program extending or complementing our core research areas: scientific computing, modelling and simulation, high-performance computing, numerical analysis, data science and computational science, computational mechanics, computational life science including computational cardiovascular modelling and computational neuroscience. For information about the position, application requirements and how to apply, see: https://www.simula.no/about/job/call-senior-research-scientist-scientific-computing- simula-research-laboratory The position is permanent, and the workplace will be at Simula's premises in Oslo, Norway. Application deadline: Nov 1 2021. ------------------------------------------------------- From: Jürgen Dölz [log in to unmask] Date: October 04, 2021 Subject: Professor Position, Hertz Chair, Univ of Bonn The University of Bonn calls for applications for a Hertz Chair (W3, full professorship) at the interface of Mathematics, Modelling and Simulation of Complex Systems starting as soon as possible. Establishing distinguished Hertz Chairs at the interface of outstanding research areas at the University of Bonn is a central measure following the success of the University of Bonn within the German Excellence Strategy, a funding program of the Federal and State Governments to support cutting-edge research at universities. Under this scheme, the University of Bonn establishes an exceptionally endowed Hertz Chair within the Transdisciplinary Research Area (TRA) "Mathematics, Modelling and Simulation of Complex Systems". For more information please consider https://www.uni-bonn.de/de/universitaet/medien-universitaet/medien-organisation-und- einrichtungen/medien-dezernat-3/w3-hertz-chair-mathematics-modelling-simu\ lation-of-complex-systems.pdf ------------------------------------------------------- From: Boyce Griffith [log in to unmask] Date: October 06, 2021 Subject: Faculty Position, Comp Medicine and Math, UNC-Chapel Hill The Computational Medicine Program in the School of Medicine and the Department of Mathematics in the College of Arts and Sciences at the University of North Carolina at Chapel Hill (UNC-CH) invite applicants for a tenure-track faculty position. The Computational Medicine Program is a recently established research initiative that seeks to apply modern computational approaches, including mathematical and statistical modeling, machine learning, and network analysis, to problems relevant to human health and disease. Candidates who aim to establish a research program in any area of mathematics with applications to understanding mechanisms of human diseases and the goal of impacting diagnosis and treatment are strongly encouraged to apply. A Ph.D. or equivalent degree is required, and postdoctoral experience, outstanding research promise, and dedication to excellent teaching are expected. Appointments are expected to be made at the level of assistant professor, but exceptionally well qualified candidates of higher rank will also be considered. This position includes an affiliation and research space within the Computational Medicine Program at UNC School of Medicine and a full- time faculty appointment within the Department of Mathematics in the College of Arts and Sciences. The successful candidate will be expected to direct an independent research program supported by extramural funding and to participate in team science projects initiated through the Computational Medicine Program. Duties of this position will also include student mentoring and teaching at the undergraduate and graduate level through the Department of Mathematics. An excellent start-up package and access to departmental and institutional facilities will be provided, including access to outstanding computational resources (https://its.unc.edu/research-computing). Applicants must apply online at https://unc.peopleadmin.com/postings/200417. In addition to information requested by the UNC website, applicants should post the following at https://www.mathjobs.org/jobs/list/18500: (1) the standard AMS cover sheet; (2) curriculum vitae; (3) a description of current research and a plan for future research; (4) a statement of teaching goals; and (5) at least four letters of recommendation. Note that candidates must apply at the UNC website as well as at MathJobs.org to be considered for the position. Review of applications will begin on November 1, 2021 and will continue until the position is filled. The anticipated position start date is July 1, 2022. For further information on the Program or Department, please visit https://www.med.unc.edu/compmed and https://math.unc.edu, or contact Tim Elston or Boyce Griffith at [log in to unmask] or [log in to unmask] ------------------------------------------------------- From: Sydney Garstang [log in to unmask] Date: October 11, 2021 Subject: Faculty Position, Computing and Mathematical Sciences, Caltech The Computing and Mathematical Sciences (CMS) Department at the California Institute of Technology (Caltech) invites applications for tenure- track faculty appointments. Exceptional applications at the tenured level may also be considered. The CMS Department is part of the Division of Engineering and Applied Science (EAS), comprising researchers working in and between the fields of aerospace, civil, electrical, environmental, mechanical, and medical engineering, as well as materials science and applied physics. The Institute as a whole represents the full range of research in biology, chemistry, engineering, geological and planetary sciences, physics, and the social sciences. We welcome applicants with research and teaching interests in any area of computer science and/or applied mathematics, broadly defined, including research that connects to other fields at Caltech. Commitments to world- class research, to high-quality teaching and mentoring, and to enhancing diversity, equity, and inclusivity are expected. Appointment as an assistant professor is contingent upon the completion of a Ph.D. degree in computer science, applied mathematics or related areas. An initial appointment at the assistant professor level is four years. Reappointment beyond the initial term is contingent upon successful review conducted prior to the commencement of the fourth year. Applications will be reviewed beginning 25 October 2021, and all applications completed with all required materials uploaded before 1 December 2021 will receive full consideration. For a list of all documents required, and full instructions on how to apply online, please visit https://applications.caltech.edu/jobs/cms. Questions about the application process may be directed to [log in to unmask] Caltech has implemented a mandatory vaccination policy effective October 15, 2021, requiring COVID-19 vaccinations for all employees (with Institute-approved exemptions for religious or medical contraindications only). At present, an individual is deemed "fully vaccinated" when that person has received, at least 14 days prior, either the second dose in a two-dose COVID-19 vaccine series (e.g., Pfizer or Moderna) or a single- dose COVID-19 vaccine (e.g., Johnson & Johnson). As a condition of employment, employees must submit official COVID-19 vaccine documentation. More information may be found at https://together.caltech.edu. ------------------------------------------------------- From: Amit Apte [log in to unmask] Date: October 07, 2021 Subject: Faculty Position, Data Science, IISER Pune, India The Department of Data Science at the Indian Institute of Science Education and Research (IISER) Pune invites applications from candidates with outstanding academic records in foundations and applications of data science for faculty positions at the level of Assistant Professor, Associate Professor, and Professor. The department carries out research on mathematical and theoretical aspects of data science and development of new methods. Building on the existing core strengths of IISER Pune in basic sciences and humanities, the faculty collaborate on a variety of applications of data science. We are actively seeking candidates in the areas of artificial intelligence & machine learning, optimisation, statistical methods & theory, across the disciplines of computer science, applied mathematics, and statistics. IISER Pune faculty get a generous start-up grant. They also lead active research groups and secure extra-mural funding. Collaborations with industry and academia, especially with other faculty at IISER Pune, are highly encouraged. At IISER Pune, some of the best practitioners of science train India's brightest young minds as part of its flagship BS-MS, Integrated PhD, and PhD programs. Faculty members are expected to teach courses related to data science at the undergraduate and graduate level. Further information is available . Detailed educational qualifications for each level and instructions for applying are at . Priority consideration will be given to applications received by 15 December 2021. ------------------------------------------------------- From: Sanghyun Lee [log in to unmask] Date: October 04, 2021 Subject: Tenure Track Position, Applied and Comp Math, Florida State Univ Applications are invited for a tenure-track Assistant Professor position in applied and computational mathematics at Florida State University, with a start date of August 2022. Candidates should have a doctoral degree from an accredited institution in mathematics or a related discipline with a demonstrated record of achievement in teaching, academic research, and service. Postdoctoral experience in some area of applied mathematics is required. The ideal candidate will have experience working in one or several research areas that complement the existing research focus of the mathematics department. This includes applied and geometric partial differential equations; computational mathematics in its broadest sense; optimization algorithms; and data science and machine learning. Florida State University is one of two flagship research universities in the State University System of Florida, and is ranked number 19 among all public universities in the country by U.S. News and World Report. The university enrolls over 40,000 students in the main campus of Tallahassee. Tallahassee is located in north Florida and has a population of roughly 190,000. It is adjacent to the Apalachicola National Forest and about twenty-five miles from the Gulf of Mexico, with easy access to pristine beaches and other natural habitats. Tallahassee has a warm climate, with an annual average high temperature of 80 degrees Fahrenheit and an annual average low temperature of 56 degrees Fahrenheit. Apply via http://jobs.fsu.edu/ to Job opening ID 49971, as well as through MathJobs.org. Submit a cover letter, curriculum vitae, and research and teaching statements electronically to Mathjobs.org and to the FSU job site http://jobs.fsu.edu/. Additionally, four letters of recommendation (at least one of the letters should address the candidate's teaching capability) must be submitted to MathJobs.org. The deadline to apply for this position is November 1, 2021. Candidates from underrepresented groups are encouraged to apply. ------------------------------------------------------- From: Nick Trefethen [log in to unmask] Date: October 08, 2021 Subject: Hooke Fellowship Positions, Oxford Oxford will be appointing several new Hooke Fellows this year. This is a high-prestige three-year position in numerical analysis, data science, or other areas of applied mathematics -- please see https://www.maths.ox.ac.uk/node/39999 for details. The closing date for applications is November 3. ------------------------------------------------------- From: Emil Constantinescu [log in to unmask] Date: October 08, 2021 Subject: Wilkinson Fellowship Position, Scientific Computing, Argonne The Mathematics and Computer Science Division of Argonne National Laboratory invites outstanding candidates to apply for the 2022 J.H. Wilkinson Postdoctoral Fellowship in Scientific Computing. The Wilkinson Fellowship is intended to encourage early-career scientists actively engaged in state-of-the-art research in scientific computing. The fellowship provides an exceptional opportunity for innovative research in computational mathematics and scientific computing on advanced computing architectures. Areas of interest span the applied mathematics, scientific computing and computational sciences and include algorithmic differentiation, computational fluid dynamics, data assimilation, data science, discretization, linear algebra, machine learning, meshing, modeling and simulation, solvers, multifidelity/ multilevel/ multiphysics/ multiscale algorithms, quantum computing, operations research, optimization, statistics, stochastic systems, and uncertainty quantification. Additional areas of interest in applied mathematics, numerical software, and statistics can be found at https://www.anl.gov/mcs/lans . We value and strive for diversity in backgrounds, experiences, and perspectives. The appointment is for one year and may be renewed for another year. For full consideration, applications and letters should be submitted by December 1, 2021. For more details and to apply, see https://www.anl.gov/mcs/wilkinson . ------------------------------------------------------- From: Willy Dörfler [log in to unmask] Date: October 07, 2021 Subject: Postdoc Position, Battery Simulation, KIT Our project concerns research in the area of models and numerical simulation of Lithium-Ion Batteries at the particle level or cell level. Especially, we aim at development and application of data-driven methods (data-driven computational mechanics or neural networks). The project and position is located at the Institute of Numerical and Applied Mathematics are part of the research training group "Simulation of Mechano-Electro-Thermal Processes in Lithium-Ion-Batteries" at KIT. More information on https://www.pse.kit.edu/karriere/joboffer.php?id=20447&new=true&language=en ------------------------------------------------------- From: Laura Cornell [log in to unmask] Date: October 06, 2021 Subject: Postdoc Position, Exascale Computing Exascale Computing Postdoctoral Fellow - 93950 Organization: NE-NERSC Lawrence Berkeley National Lab's (LBNL, https://www.lbl.gov/) NERSC Division (https://www.nersc.gov/about/) has an opening for an Exascale Computing Postdoctoral Fellow to join the team. The National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory seeks a highly motivated postdoc to join the NERSC efforts to ensure math libraries perform well on upcoming computational platforms. The postdoc will collaborate with selected Exascale Computing Project (ECP) math libraries and scientific application teams to enable the solution of deep, meaningful problems targeted by the ECP program as well as other program areas funded by the Department of Energy Office of Science (https://www.energy.gov/science/office-science). What You Will Do: Work with NERSC staff and code teams to transition and optimize math libraries for ECP applications and selected non-ECP applications important to the NERSC workload for the Perlmutter system as well as the upcoming OLCF Frontier and ALCF Aurora systems in performance- portable ways. Conduct profiling and scaling studies as well as parallelization, memory bandwidth for these codes. Disseminate results of research activities through refereed publications, reports, and conference presentations. Ensure that new methods are documented for the broader community, NERSC staff, vendors, and NERSC users. Participation in postdoctoral career and science enrichment activities within the Berkeley Lab Computing Sciences Area is encouraged. Occasional to travel to sites at other labs, universities, and to vendor facilities. Apply directly online at http://50.73.55.13/counter.php?id=209419 and follow the on-line instructions to complete the application process. ------------------------------------------------------- From: Sanghyun Lee [log in to unmask] Date: October 04, 2021 Subject: Postdoc Position, Florida State Univ The Department of Mathematics at Florida State University is accepting applications for full-time postdoctoral positions in Mathematics, with start dates of August 2022. The appointment is for a period of two years. Candidates must have a doctoral degree in Mathematics or a closely related discipline conferred within the last 5 years, a strong research record, and a commitment to excellence in teaching. Preference will be given to candidates whose research interests overlap significantly with those of current faculty members. Applicants are strongly encouraged to include in their cover letter the name(s) of FSU faculty whose research best aligns with their own. Information about the department is available at www.math.fsu.edu. Qualified candidates must apply through both the MathJobs website (MathJobs.org) and the FSU Employment and Recruitment Services website at www.jobs.fsu.edu, job opening 50055. Each applicant must submit a cover letter, a standard AMS coversheet, a current curriculum vitae, a research statement, and a teaching statement. Candidates should also arrange to have four letters of recommendation (one should address the candidate's teaching qualifications) uploaded directly by the letter writers through the MathJobs website. The deadline for applications is November 15, 2021, but early application is advised. Florida State University is one of two flagship research universities in the State University System of Florida, with over 40,000 students in the main campus of Tallahassee. Tallahassee is located in North Florida and has a population of approximately 190,000. It is adjacent to the Apalachicola National Forest and about twenty five miles from the Gulf of Mexico, with easy access to pristine beaches and other natural habitats. Tallahassee has a warm climate, with an annual average high temperature of 80 degrees Fahrenheit and an annual average low temperature of 56 degrees Fahrenheit. Florida State University is an Equal Opportunity/Access/Affirmative Action/Pro Disabled & Veteran Employer. FSU's Equal Opportunity Statement can be accessed at: https://hr.fsu.edu/sites/g/files/upcbnu2186/files/PDF/Publications/diversity/EEO_Statemen t.pdf. ------------------------------------------------------- From: Tan Bui [log in to unmask] Date: October 05, 2021 Subject: Postdoc Position, ML/Digital Twins, Oden Institute, UT Austin A postdoc position is immediately available in Tan Bui-Thanh's research group on Machine Learning for Digital Twin (DT). Responsibility: Develop model-constrained machine learning approaches engineering and science applications that are governed by Partial differential Equations (or their discretizations). Develop algorithms for monitoring and quantifying uncertainty for DT. Qualifications: PhD research was in the field of inverse problems and/or uncertainty quantification and/or machine learning methods. - Strong in applied mathematics and computation. Duration: The position can be renewed annually, up to three years. Please contact Tan Bui-Thanh at [log in to unmask] for questions/concerns about the position. ------------------------------------------------------- From: Eric Cyr [log in to unmask] Date: October 07, 2021 Subject: Postdoc Position, Neural Network Training, Sandia NL We are seeking a postdoctoral appointee at the Computer Science Research Institute with a strong background in the development of numerical methods focusing on large-scale simulation of partial differential equations or optimal control problems. The successful candidate will contribute to an effort developing new machine learning architectures and training algorithms on leadership class HPC platforms. This work is targeting applications in scientific machine learning, where the appointee will work in a team of rearchers to apply their HPC machine learning technologies to problems of broad interest to the science and engineering community, including applications in climate science and plasma physics. Required Qualifications: PhD in mathematics, computer science, or related engineering or science field (conferred within 3 years prior to employment). Experience in numerical methods development for distributed computing, including one or more of multigrid methods, parallel-in-time, domain decomposition, hierarchical matrices, or matrix sketching. Familiarity with optimization or deep learning. Experience with high-performance parallel computing environments including MPI, OpenMP or CUDA. Excellent programming and algorithm development skills as evidenced by software developed by the applicant. A background that includes research experience evidenced by a record of research publications and presentations. To Apply: 1. go to http://www.sandia.gov/careers/studens_postdocs/postdocs.html 2. click 'View All Sandia Openings' 3. search for Job ID: 678691 ------------------------------------------------------- From: Eric Cyr [log in to unmask] Date: October 07, 2021 Subject: Postdoc Position, Scientific ML, Sandia National Laboratories We are seeking a postdoctoral appointee at the Computer Science Research Institute with a strong background in the development of numerical methods, and/or development of algorithms for HPC platforms. The successful candidate will contribute to an effort developing numerical methods for machine learning on leadership class HPC platforms. This work is targeting applications in scientific machine learning, where the appointee will work in a team of researchers to apply their HPC machine learning technologies to problems of broad interest to the science and engineering community, including applications in climate science and plasma physics. Required qualifications PhD in mathematics, computer science, or related engineering or science field (conferred within 3 years prior to employment). Experience in numerical methods development or developing methods suitable for HPC environments. Experience with high-performance parallel computing environments including MPI, OpenMP or CUDA. Excellent programming and algorithm development skills as evidenced by software developed by the applicant. A background that includes research experience evidenced by a record of research publications and presentations. Able to acquire and maintain a DOE security clearance, which requires US citizenship. To Apply: 1. go to http://www.sandia.gov/careers/studens_postdocs/postdocs.html 2. click 'View All Sandia Openings' 3. search for Job ID: 678692 ------------------------------------------------------- From: Alex Barnett [log in to unmask] Date: October 04, 2021 Subject: Postdoc Positions, Sci Comp/Stats/Imaging/ML, CCM, Flatiron Inst We are excited to offer several postdoctoral positions at the Center for Computational Mathematics at the Flatiron Institute, in New York City. These Flatiron Research Fellows (FRFs) are typically 3-year academic- style positions, starting in Fall 2022. Our active areas of research are: numerical analysis and partial differential equations; high performance computing and software libraries; signal and image processing, with a particular focus on cryo-electron microscopy; computational physics, chemistry and biology (statistical mechanics, biophysics, fluid mechanics, and molecular dynamics); ML for scientific applications; probabilistic and differential programming; statistical methodology, modeling, and inference; and mathematics, algorithms, and optimization for deep neural networks. For current CCM staff and their interests, see: https://www.simonsfoundation.org/flatiron/center-for-computational- mathematics/about/people While many of our FRFs have an applied/computational mathematics background, we also seek computational applicants with PhDs from other science areas. CCM provides an attractive combination of an academic-style research environment with a lab-style long term view on tool building and software, plus strong interactions with the four other centers at the Institute (computational biology, astrophysics, quantum physics, and neuroscience), as well as area universities. The application (including a research statement and three letters of recommendation) is due by December 15, 2021. To see the full ad, and to apply: https://simonsfoundation.wd1.myworkdayjobs.com/en-US/ccmcareers/job/162-Fifth- Avenue/Flatiron-Research-Fellow--Machine-Learning-and-Computational-Statistics-\ -CCM_R0000701 ------------------------------------------------------- From: Siyang Wang [log in to unmask] Date: October 04, 2021 Subject: PhD Position, Comp Science and Engineering, Umea Univ The Computational Mathematics research group at Umea University in Sweden is inviting applications for a PhD position in computational science and engineering. The aim of the PhD project is to develop computationally efficient and geometrically flexible numerical techniques for solving wave propagation problems governed by hyperbolic partial differential equations. The project focuses both on the numerical analysis aspect (stability and error estimates) and efficient implementation (realistic 3D models in the geosciences). Umea offers excellent working and living conditions. The working environment is international and very family friendly, as exemplified by a generous allotment of 480 days paid parental leave for each child. Umea is a young city located right next to a large river. It is surrounded by forests and lakes and lies close to the sea. The city offers excellent opportunities for both outdoor and indoor activities. For a detailed project description and application procedure, see https://www.umu.se/en/work-with-us/open-positions/phd-position-in-computational- methods-for-wave-phenomena_433142/ ------------------------------------------------------- From: Guanglian Li [log in to unmask] Date: October 06, 2021 Subject: PhD Position, Numerical Analysis and Simulation, HKU I am currently recruiting one 4-year PhD candidate based at Department of Mathematics, The University of Hong Kong. Fields of interest: Scientific computing and analysis, e.g., Finite Element methods (FEM), multiscale methods and analysis and high-dimension approximation. Detailed information can be found here: https://sites.google.com/d/1QGNbKCOB5- BOCsQPAhyYQfEOi7Av3Ste/p/12PNOQNMzut13ae_Lv9BbIWZ8ej24WRvd/edit Please contact Dr. Guanglian Li via [log in to unmask] if you are interested. ------------------------------------------------------- From: Margherita Porcelli, Fabiana Zama [log in to unmask] Date: October 06, 2021 Subject: PhD Positions, Numerical Analysis, Univ of Bologna, Italy The Department of Mathematics of the University of Bologna has opened two 3-year PhD student positions - Bando PON "Ricerca e Innovazione" 2014 - 2020 in Numerical Analysis starting next January 2022: "Mathematical models and numerical methods for environmental applications of Fast Field Cycling Nuclear Magnetic Resonance" Advisor: Fabiana Zama "Black-Box optimization for clean energy technologies" Advisor: Margherita Porcelli Applicants must hold a Second Cycle Degree by Oct 31, 2021. The application deadline is Oct 20, 2021 at 11:59 PM. Further details can be found here: https://www.unibo.it/en/teaching/phd/new-call-for-applications-for-phd-additional- scholarships-on-innovation-and-green-topics%2C-funded-by-FSE-REACT-EU---PON\ -ricerca-e-Innovazione-programme and https://www.unibo.it/en/teaching/phd/2021-2022-pon-scholarships-call/mathematics ------------------------------------------------------- From: Lothar Reichel [log in to unmask] Date: October 06, 2021 Subject: Contents, Electronic Transactions on NA (ETNA), 54 L. Grubisic, M. Ljulj, V. Mehrmann, and Josip Tambaca, Modeling and discretization methods for the numerical simulation of elastic frame structures. C. Echeverria, J. Liesen, and P. Tichy, Analysis of the multiplicative Schwarz method for matrices with a special block structure. K. Kahl and B. Lang, Hypergraph edge elimination - A symbolic phase for Hermitian eigensolvers based on rank-1 modifications. P. Benner and D. Palitta, On the solution of the nonsymmetric T-Riccati equation. J. Pablo Lucero Lorca and G. Kanschat, Multilevel Schwarz preconditioners for singularly perturbed symmetric reaction-diffusion systems. F. Fairag, K. Chen, and S. Ahmad, Analysis of the CCFD method for MC-based image denoising problems. Sk. Safique Ahmad, I. Ali, and I. Slapnicar, Perturbation analysis of matrices over a quaternion division algebra. S. Erfani, E. Babolian, and S. Javadi, New fractional pseudospectral methods with accurate convergence rates for fractional differential equations. J. Park, Pseudo-linear convergence of an additive Schwarz method for dual total variation minimization. S. Franz, Continuous time integration for changing type systems. R. D. Falgout, T. A. Manteuffel, B. O'Neill, and J. B. Schroder, Multigrid reduction in time with Richardson extrapolation. S. C. Brenner, J. C. Garay, and L.-y. Sung, Additive Schwarz preconditioners for a localized orthogonal decomposition method. R. Ramlau and B. Stadler, An augmented wavelet reconstructor for atmospheric tomography. H. Majidian, Modified Filon-Clenshaw-Curtis rules for oscillatory integrals with a nonlinear oscillator. K. Dunn, R. Lui, and M. Sarkis, An unconditionally stable semi-implicit CutFEM for an interaction problem between an elastic membrane and an incompressible fluid. T. Hrycak and S. Schmutzhard, Error bounds for the numerical evaluation of Legendre polynomials by a three-term recurrence. L. Fermo and C. van der Mee, Volterra integral equations with highly oscillatory kernels: a new numerical method with applications. M. Reichelt, M. Windisch, G. Offner, and S. Santner, A multigrid method for elasto-hydrodynamic contact simulations of radial slider bearing. M. Manguoglu and V. Mehrmann, A two-level iterative scheme for general sparse linear systems based on approximate skew-symmetrizers. M. Stoll and M. Winkler, Optimal Dirichlet control of partial differential equations on networks. V. Noferini, L. Robol, and R. Vandebril, Structured backward errors in linearizations. D. Occorsio and M. Grazia Russo, A mixed collocation scheme for solving second kind Fredholm integral equations in [-1,1]. H. Hakula, S. Nasyrov, and M. Vuorinen, Conformal moduli of symmetric circular quadrilaterals with cusps. M. Hanke, Mathematical analysis of some iterative methods for the reconstruction of memory kernels. M. Mazza, S. Serra-Capizzano, and M. Usman, Symbol-based preconditioning for Riesz distributed-order space-fractional diffusion equations. H. Gottschalk and K. Kahl, Coarsening in algebraic multigrid using Gaussian processes. L. Garcia Ramos, O. Sete, and R. Nabben, Preconditioning the Helmholtz equation with the shifted Laplacian and Faber polynomials. F. Tatsuoka, T. Sogabe, Y. Miyatake, T. Kemmochi, and S.-L. Zhang, Computing the matrix fractional power with the double exponential formula. D. Cai and J. Xia, A stable matrix version of the fast multipole method: stabilization strategies and examples. S. Steinerberger, On the regularization effect of stochastic gradient descent applied to least-squares. ------------------------------------------------------- From: Ali R. Soheili [log in to unmask] Date: October 12, 2021 Subject: Contents, Iranian J of Numerical Analysis and Optimization, 11 (2) Iranian Journal of Numerical Analysis and Optimization Volume 11, Issue 2 - Serial Number 20, Summer and Autumn 2021, Pages 235-511 https://ijnao.um.ac.ir/issue_2995_5166.html Contents Trainable fourth-order partial differential equations for image noise removal, N. Khoeiniha, S.M. Hosseini and R. Davoudi Exponentially fitted tension spline method for singularly perturbed differential difference equations, M.M. Woldaregay, and G.F. Duressa New class of hybrid explicit methods for numerical solution of optimal control problems, M. Ebadi, I. Malih Maleki, and A. Ebadian The strict complementarity in linear fractional optimization, M. Mehdiloo, K. Tone and M.B. Ahmadi Solving quantum optimal control problems by wavelets method, M. Rahimi, S. M.Karbassi and M.R. Hooshmandasl Singularly perturbed robin type boundary value problems with discontinuous source term in geophysical fluid dynamics, B.M. Abagero, G.F. Duressa and H.G. Debela Two new approximations to Caputo-Fabrizio fractional equation on non-uniform meshes and its applications, Z. Soori and A. Aminataei Application of Newton-Cotes quadrature rule for nonlinear Hammerstein integral equations, A. Shahsavaran Investigating a claim about resource complexity measure, H.R. Yousefzadeh A new algorithm for solving linear programming problems with bipolar fuzzy relation equation constraints, S. Aliannezhadi and A. Abbasi Molai Review of the strain-based formulation for analysis of plane structures, Part I: Formulation of basics and the existing elements, M. Rezaiee-Pajand, N. Gharaei-Moghaddam, and M. Ramezani Review of the strain-based formulation for analysis of plane structures, Part II: Evaluation of the numerical performance, M. Rezaiee-Pajand, N. Gharaei-Moghaddam, and M. Ramezani The Iranian Journal of Numerical Analysis and Optimization (IJNAO) publishes original papers of high scientific value in all areas of numerical analysis and optimization. IJNAO is an open-access journal and all contributions to IJNAO are published free of charge and there is no article submission charge. The Iranian Journal of Numerical Analysis and Optimization is indexed in Scopus, zbMATH, DOAJ, and COPE. For more information, please visit: https://ijnao.um.ac.ir/ ------------------------------------------------------- From: Claude Brezinski [log in to unmask] Date: October 08, 2021 Subject: Contents, Numerical Algorithms, 88 (3) Table of Contents Numerical Algorithms, Vol. 88, No. 3 The FMM accelerated PIES with the modified binary tree in solving potential problems for the domains with curvilinear boundaries, Andrzej Kuzelewski, Eugeniusz Zieniuk Extrapolated sequential constraint method for variational inequality over the intersection of fixed-point sets, Mootta Prangprakhon, Nimit Nimana Highly efficient schemes for time-fractional Allen-Cahn equation using extended SAV approach, Dianming Hou, Hongyi Zhu, Chuanju Xu A first-order inexact primal-dual algorithm for a class of convex-concave saddle point problems, Fan Jiang, Zhongming Wu, Xingju Cai, Hongchao Zhang A second-order decoupled algorithm with different subdomain time steps for the non-stationary Stokes/Darcy model, Dandan Xue, Yanren Hou Blossoming and Hermite-Pade approximation for hypergeometric series, Rachid Ait-Haddou, Marie-Laurence Mazure A representation of the interpolation polynomial, Mircea Ivan, Vicuta Neagos Orthogonal polynomials relative to a generalized Marchenko-Pastur probability measure, Walter Gautschi, Gradimir V. Milovanovic A neurodynamic approach to zero-one quadratic programming, Yigui Ou, Haichan Lin Regularization of inverse problems by an approximate matrix-function technique, Stefano Cipolla, Marco Donatelli, Fabio Durastante On the preserving of the maximum principle and energy stability of high-order implicit-explicit Runge-Kutta schemes for the space-fractional Allen-Cahn equation, Hong Zhang, Jingye Yan, Xu Qian, Xianming Gu, Songhe Song Accurate error estimation in CG, Gerard Meurant, Jan Papez, Petr Tichy Weak Galerkin finite element methods with or without stabilizers, Xiaoshen Wang, Xiu Ye, Shangyou Zhang On the convergence of Krylov methods with low-rank truncations, Davide Palitta, Patrick Kuerschner Inertial methods for finding minimum-norm solutions of the split variational inequality problem beyond monotonicity, G. N. Ogwo, C. Izuchukwu, O. T. Mewomo A fast Fourier-Galerkin method solving boundary integral equations for the Helmholtz equation with exponential convergence, Ying Jiang, Bo Wang, Dandan Yu Efficient quadrature rules for the singularly oscillatory Bessel transforms and their error analysis, Hongchao Kang, Chunzhi Xiang, Zhenhua Xu, Hong Wang Multilevel augmentation methods for eigen-problems of compact integral operators, Guangqing Long, Rong Jie, Li-bin Liu ------------------------------------------------------- End of Digest **************************