Subject: NA Digest, V. 22, # 36 NA Digest Monday, October 31, 2022 Volume 22 : Issue 36 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Roland Bulirsch (1932-2022) MFEM Version 4.5 Berlin Workshop on Numerical Analysis, Germany, Nov 2022 One World Numerical Analysis Series, ONLINE, Nov 2022 SIAM Geosciences (GS23), Norway, Jun 2023 Modeling and Optimization (MOPTA), USA, Aug 2023 Tenure-Track Position, Applied Mathematics, UMBC Tenure-Track Position, Data Science, Boise State Univ Tenure-Track Position, NA & PDEs, Univ of North Texas Tenure-Track Positions, CSE, Georgia Tech Assistant/Associate Professor Position, Arizona State Univ, USA Chancellor Fellowship Positions, Mathematics, Univ of Edinburgh Postdoc Position, Computational Science and Math, Univ Minnesota Postdoc Position, Computational Statistics, Probability, ML, Argonne Postdoc Position, PDE-Constrained Optimization, Wits Univ Postdoc Positions, Arizona State Univ Postdoc/PhD Positions, PDE Solvers for Exascale Computers PhD Position, Causal AI for Public Health PhD Position, High Performance Computing, Ireland PhD Positions, Computational Science, Florida State Univ PhD Positions, Model-Data Fusion, Empa, Switzerland CFP, AppliedMath, Special Issue Contents, Advances in Computational Mathematics, 48 (5) Contents, Evolution Equations and Control Theory, 12 (1) 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: Peter Rentrop [log in to unmask] Date: October 31, 2022 Subject: Roland Bulirsch (1932-2022) With sadness we have to inform you that Roland Bulirsch (1932-2022) passed away on 21 September 2022. He followed his beloved wife Waltraut who died in 2020. Born 10 November 1932 to working-class parents in Reichenberg (Bohemia), he experienced occupation, war and expulsion. From 1947 till 1951 he received a professional training as an engine fitter at Siemens-Schuckert (Nuremberg) and worked there afterwards as a machinist. In 1954 he finished high school and began studying mathematics and physics at the Technische Hochschule in Munich, graduating in 1959. Here he earned a mathematics Ph.D. in 1961 and the habilitation in mathematics in 1965. During his time in Munich the famous extrapolation algorithms result from a joint research with J. Stoer. In 1967 he became Associate Professor at the University of California, San Diego, which appointed him Full Professor in 1968. Here he developed the multiple shooting algorithm with applications to space problems as well as arithmetic-geometric means in elliptic integrals. In 1969 he went to the University of Cologne as Full Professor, in 1972 he accepted a full professorship at the Department of Mathematics of the TU Munchen and remained there until his retirement in 2001. He was an excellent and inspiring teacher and an enthusiastic researcher; more than 200 diploma theses, 40 Ph.D. theses and 12 venia legend theses are witnesses of his enourmous influence. R. Bulirsch embodied the ideal of a mathematician: He could explain even the most complicated things simply. He was the author (with J. Stoer) of Introduction to Numerical Analysis, a standard reference for the theory of numerical methods. He served as an editor for many journals. He was a member of the TUM Senate and twice Dean of the Department of Mathematics For more than a decade he was a referee for the German Science Foundation and headed the committee for Mathematics from 1984-1988. R. Bulirsch was always open to political and cultural questions. He was an expert in orchids, had a deep connection to music and was highly interested in literature, art and astronomy. We mourn with his two daughters and his grandchildren. R. Callies, P. Rentrop, TU Munchen ------------------------------------------------------- From: Tzanio Kolev [log in to unmask] Date: October 23, 2022 Subject: MFEM Version 4.5 Version 4.5 of MFEM, a lightweight, general, scalable C++ library for finite element methods, is now available at: https://mfem.org The goal of MFEM is to enable high-performance scalable finite element discretization research and application development on a wide variety of platforms, ranging from laptops to exascale supercomputers. Some of the new additions in version 4.5 are: - MFEM Docker container and cloud support. - New and improved integrations with Enzyme, Algoim, Moonolith, hypre. - Efficient GPU kernels for LOR matrix assembly and DG mass inversion. - Full assembly and device support for LinearForm integrators. - Partial assembly and matrix-free operators on mixed meshes. - New miniapp for automatic differentiation of nonlinear elasticity. - Improved mesh optimization and physical space interpolation. - Support for submesh extraction. - New fractional PDE example. The MFEM library has many more features, including: - 2D and 3D, arbitrary order H1, H(curl), H(div), L2, NURBS elements. - Parallel version scalable to hundreds of thousands of MPI cores. - Conforming/nonconforming adaptive mesh refinement (AMR), including anisotropic refinement, derefinement and parallel load balancing. - Galerkin, mixed, isogeometric, discontinuous Galerkin, hybridized, and DPG discretizations. - Support for triangular, quadrilateral, tetrahedral and hexahedral elements, including arbitrary order curvilinear meshes. - Scalable algebraic multigrid, time integrators, and eigensolvers. - Lightweight interactive OpenGL visualization with the MFEM-based GLVis tool. MFEM is being developed in CASC, LLNL and is freely available under a BSD license. For more details, see the interactive documentation and the full CHANGELOG at https://github.com/mfem/mfem. ------------------------------------------------------- From: Sarah Leigh Lederer [log in to unmask] Date: October 28, 2022 Subject: Berlin Workshop on Numerical Analysis, Germany, Nov 2022 The Berlin Workshop on Numerical Analysis 2022 is being held from November 1st to November 22nd, 2022 Rudower Chausee 25, Campus Adlershof, Berlin The aim of the workshop is to discuss recent developments in numerical analysis. The topics cover, for instance, error control and adaptivity, non- standard finite elements (ranging from classical non-conforming methods to neural networks). The workshop extends over three weeks and is intended to create a stimulating and relaxed atmosphere to discuss topics in numerical analysis, initiate new projects and advance existing projects. A maximum of one or two lectures per day on average are planned. The Berlin Workshop on Numerical Analysis is organised by Andreas Schroder (PLU Salzburg) and Carsten Carstensen (HU Berlin). There is no registration necessary. For any questions concerning the workshop please send an email to: [log in to unmask] Further information can be found at: https://www2.mathematik.hu-berlin.de/~ccafm/bwna2022/index.html ------------------------------------------------------- From: Emmanuil Georgoulis [log in to unmask] Date: October 26, 2022 Subject: One World Numerical Analysis Series, ONLINE, Nov 2022 The One World Numerical Analysis Series is continuing this academic year. The series will now be hosted by Augsburg University and will (typically) run fortnightly on Mondays via the Zoom platform. Attendance is open, but requires a basic initial registration via the OW-NA Series webpage: https://www.uni-augsburg.de/en/fakultaet/mntf/math/prof/numa/one-world-numerical-analysis-seminar/ (Upon registration, you will be receiving a link to the seminars, near the seminar time.) The (typical) time for the seminars is 2pm British Summer Time (BST), 3pm Central European Summer Time (CEST), 9pm Beijing, 9am New York. The first scheduled seminars are: 1) 07.11.2022 Gabriel Barrenechea, University of Strathclyde, UK. Title: The discrete maximum principle, and positivity preservation, in finite element methods. 2) 21.11.2022 Jens Markus Melenk, Vienna University of Technology, Austria. Title: hp-FEM for fractional diffusion. We look forward to your participation. The organisers: Lehel Banjai, Heriot-Watt University Emmanuil Georgoulis, Heriot-Watt University/NTU Athens Maria Lopez Fernandez, University of Malaga Charalambos Makridakis, IACM/University of Sussex/Crete Daniel Peterseim, University of Augsburg ------------------------------------------------------- From: Jan Martin Nordbotten [log in to unmask] Date: October 30, 2022 Subject: SIAM Geosciences (GS23), Norway, Jun 2023 The deadline for submission of Minisymposia for the 2023 edition of the SIAM Conference on Mathematical and Computational Issue in the Geosciences (SIAMGS23) is approaching. The conference will take place in Bergen, Norway, on June 19-22 2023. The deadline is the 21st of November 2022. Further information is available on https://www.siam.org/conferences/cm/conference/gs23. ------------------------------------------------------- From: Tommaso Giovannelli [log in to unmask] Date: October 23, 2022 Subject: Modeling and Optimization (MOPTA), USA, Aug 2023 The Industrial and Systems Engineering (ISE) Department at Lehigh University is excited to host the Modeling and Optimization: Theory and Applications (MOPTA) 2023 Conference, which will take place at Lehigh University in Bethlehem, Pennsylvania, USA on August 16-18, 2023. MOPTA conferences bring together a diverse group of researchers from both discrete and continuous optimization, working on both theoretical and applied aspects. There will be invited plenary talks from distinguished speakers as well as organized sessions and contributed talks, spread over three days. Our goal is to present a diverse set of exciting new developments from different optimization areas while at the same time providing a setting that will allow increased interaction among the participants. Information about important deadlines and the 15th AIMMS- MOPTA Optimization Modeling Competition will be made available later this year. The list of distinguished plenary speakers who have already confirmed their participation includes Laura Albert (University of Wisconsin-Madison), Omar Ghattas (University of Texas at Austin), Fatma Kilinc-Karzan (Carnegie Mellon University), Xiaodi Wu (University of Maryland), and Wotao Yin (Alibaba Group US). For more information, please visit https://coral.ise.lehigh.edu/~mopta/. ------------------------------------------------------- From: Andrei Draganescu [log in to unmask] Date: October 26, 2022 Subject: Tenure-Track Position, Applied Mathematics, UMBC The Department of Mathematics of Statistics at the University of Maryland, Baltimore County (UMBC) has an opening for a tenure track faculty position in Applied Mathematics, starting from August 2023. The appointment is for 9 months per year. Candidates should have finished their PhD in applied mathematics (or related fields) before their appointment's start date, and show promise for a career in research and teaching. A successful candidate should have a strong background in applied and/or computational mathematics, possess research synergy with current faculty members, and teach courses in the Department of Mathematics and Statistics, UMBC. For more information please visit https://mathstat.umbc.edu/tenure-track-position-in-applied-mathematics/. ------------------------------------------------------- From: Grady Wright [log in to unmask] Date: October 28, 2022 Subject: Tenure-Track Position, Data Science, Boise State Univ The Department of Mathematics at Boise State University invites applications for a tenure-track position in data science (broadly interpreted) at the rank of assistant professor starting in fall 2023. Applicants should have strong research potential in statistical computing, optimization, numerical linear algebra, or mathematical foundations of data science or machine learning. Particular interest is in applicants with interdisciplinary connections to data-driven applications, especially those involving the environment. Boise State's innovative transdisciplinary approach to research and education has driven its meteoric rise to an R2 university. The Mathematics Department is a leader in data science efforts at both the undergraduate and graduate levels and is an essential contributor to the new School of the Environment (SoE). Boise State is located in Idaho's capital city and largest metropolitan area, which serves as the government, business, high-tech, economic, and cultural center of the state. Boise offers a great quality of life: a family friendly culture, a vibrant downtown, and great outdoor recreation activities. To further enhance the quality of life Boise offers, the university has committed to sustaining the conditions necessary for faculty to enter and thrive in their academic careers while meeting personal and family responsibilities. For more details on the position and to apply see https://www.mathjobs.org/jobs/list/21283. Applications received by December 7, 2022 will be given full consideration. ------------------------------------------------------- From: Giordano Tierra [log in to unmask] Date: October 25, 2022 Subject: Tenure-Track Position, NA & PDEs, Univ of North Texas The Department of Mathematics at the University of North Texas (UNT), Denton, invites applications for a tenure-track Assistant Professor position in numerical analysis, applied partial differential equations or a closely related field. The successful candidate must have a Ph.D. in Mathematics or in Applied Mathematics. Applications will be accepted until the position is filled. To guarantee full consideration, the application should be received by November 15, 2022. In order to be considered for the position, applications should be submitted to the UNT website: https://jobs.untsystem.edu/postings/64695 More information about the position and UNT can be found in the ad at Mathjobs: https://www.mathjobs.org/jobs/list/21168 ------------------------------------------------------- From: Edmond Chow [log in to unmask] Date: October 25, 2022 Subject: Tenure-Track Positions, CSE, Georgia Tech The School of Computational Science and Engineering (CSE) at the Georgia Institute of Technology in Atlanta, Georgia, USA, invites applications for multiple openings for the position of Assistant Professor (tenure-track); openings for Associate Professor and Professor (tenured or tenure-track) are also available. CSE focuses on foundational research of an interdisciplinary nature that enables advances in science, engineering, medical, and social domains. Duties of these positions include developing and sustaining a research program in one or more of our core areas: high-performance computing, scientific and numerical computing, modeling and simulation, discrete algorithms, and data analytics (including machine learning and artificial intelligence). Duties also include teaching undergraduate and graduate courses (classroom teaching), as well as providing service to the School, College and the Institute. A PhD degree is required by the starting date of the job, in a discipline relevant to the field of Computational Science and Engineering, including a degree in Computer Science, Mathematics, Engineering, or Science. For information on how to apply, go to: https://cse.gatech.edu/content/faculty-hiring/. Questions can be sent to [log in to unmask] For full consideration, applications are due by December 1, 2022. ------------------------------------------------------- From: Rodrigo B Platte [log in to unmask] Date: October 26, 2022 Subject: Assistant/Associate Professor Position, Arizona State Univ, USA The School of Mathematical and Statistical Sciences (SoMSS) at Arizona State University invites applications for a full-time tenure-eligible position in applied and computational mathematics at the rank of Assistant or Associate Professor. Anticipated start date is August 16, 2023. The Applied and Computational Mathematics program consists approximately of 20 faculty members and has close ties with our statistics and theoretical math groups. The essential duties of the position will be to conduct research on areas of applied mathematics, computational mathematics, optimization, and/or data science, publish in appropriate high-quality journals, disseminate research at conferences and colloquia, provide quality teaching and mentoring in our undergraduate and graduate programs, and participate in appropriate professional service. Required Qualifications: " A Ph.D. in mathematics, applied mathematics, optimization, statistics, or a closely related area by the time of appointment. " Demonstrated potential for excellence in research and teaching, relative to career level. " Demonstrated understanding of the importance of diversity, equity, and inclusiveness in the mathematical community. Desired Qualifications " Documented record of published research in the areas of applied mathematics, computational mathematics, optimization, and/or data science. " Established record or strong potential for grant support, relative to career level. " Demonstrated experience and/or interest in teaching and mentoring. " Documented experiences and/or expertise indicative of strong support for individuals who have been systemically underserved in the mathematical sciences. To apply, submit the following through Mathjobs at https://www.mathjobs.org/ The application deadline is 4:00 pm Arizona time on November 20, 2022 only applications that are complete by the deadline will be considered. If the position is not filled, remaining applications will be considered every two weeks thereafter until the search is closed. ------------------------------------------------------- From: Konstantinos Zygalakis [log in to unmask] Date: October 26, 2022 Subject: Chancellor Fellowship Positions, Mathematics, Univ of Edinburgh The School of Mathematics of the University of Edinburgh invites applications for Chancellor's Fellowships. These are 5-year tenure track fellowships designed to provide talented early career researchers with the support required to develop into leading research-active academics. We strongly welcome applicants whose research centers on - mathematics of data, - applications of mathematics to healthcare, - sustainability and climate change. See https://bit.ly/3VPBEKi for details. Applications close at 5 pm (UK) on 28th November 2022. ------------------------------------------------------- From: Doug Arnold [log in to unmask] Date: October 24, 2022 Subject: Postdoc Position, Computational Science and Math, Univ Minnesota The School of Mathematics at the University of Minnesota invites applications for two post-doctoral positions in computational science and mathematics under the direction of Doug Arnold. The postdocs will join the celebrated Simons Collaboration on the Localization of Waves (https://cse.umn.edu/wave/), an international group of leading mathematicians and physicists working together on some of the most compelling puzzles in modern condensed matter physics. Computational simulations are a major enabling tool in this work, and the post-doctoral positions are to advance the collaboration through the design, implementation, visualization, and analysis of state-of-the-art numerical methods for solving large scale systems of partial differential equations and exploring their spectrum. We thus seek a candidate with a strong background in numerical PDE. Prior experience with the finite element method, eigenvalue problems, wave propagation, quantum mechanics, and high performance computing are all desirable. Salary will be commensurate with qualifications and experience and there will be a generous allowance for travel. The preferred starting date is late August 2023, or sooner, and the duration is two years, with a third year possible depending on funding and performance. Applications should be submitted through Mathjobs at https://www.mathjobs.org/jobs/list/20678 They will be reviewed starting December 1, 2022, continuing until the position is filled. Contact Doug Arnold ([log in to unmask]) with questions. The University of Minnesota is an Equal Opportunity Educator and Employer. ------------------------------------------------------- From: Emil Constantinescu [log in to unmask] Date: October 27, 2022 Subject: Postdoc Position, Computational Statistics, Probability, ML, Argonne We seek a postdoctoral candidate with a strong background in computational statistics and uncertainty quantification to develop robust and effective algorithms for solving stochastic inverse problems in quantum chromodynamics and nuclear tomography. The incumbent will be part of a large team of applied mathematicians, statisticians, computational scientists, and nuclear physicists under the QuantOm collaboration project: https://www.anl.gov/phy/quantom. The work involves sample-based probability distribution learning and spans computational statistics, machine learning, uncertainty quantification, and numerical analysis. Position Requirements: Recent or soon-to-be completed Ph.D. (typically completed within the last 0-3 years) in statistics, probability, applied mathematics, or another scientific or engineering field with a strong emphasis on solving inverse problems and uncertainty quantification.; practical verbal and written communication skills; a mixture of experience and interest in learning the following topics: Inference-based computational statistics: Bayesian & likelihood methods, high dimensional sampling, computational and variational inverse problems, dimension reduction and statistical analysis of high-dimensional datasets. Other desired but not required knowledge include statistical testing, goodness-of-fit tests, probability coverage, ML with a strong emphasis on variational, probabilistic and statistical ML approaches, normalizing flows, generative modeling, Optimal transport, and distance metrics. Python code development and devops, such as git and CI/CD, are a plus. Applications and a detailed description, including qualifications for different research tracks, are found at [https://tinyurl.com/bdee2aej]. ------------------------------------------------------- From: SA Mohammadi [log in to unmask] Date: October 31, 2022 Subject: Postdoc Position, PDE-Constrained Optimization, Wits Univ A full-time postdoctoral research fellowship is available in the area of PDE-Constrained Optimization Problems at the University of the Witwatersrand, South Africa. The fellowship will enable an outstanding doctoral graduate to obtain additional experience in research and innovation. We are specifically looking for an applicant that is working in PDEs, preferably with a specialization in PDE-Constrained Optimization Problems. Depending on the candidate's productivity, the fellowship may be renewed for a few additional years beyond its initial one-year term. ELIGIBILITY CRITERIA: Must have graduated within the last five years with a PhD degree in Mathematics with a specialization in PDEs, preferably specialized in PDE-Constrained Optimization Problems. Must have a proven track record in research with at least two papers (published or accepted) and preferable already some international network. Successful applicants must be able to relocate to the University of the Witwatersrand for the duration of the fellowship. THE SUCCESSFUL CANDIDATE WILL BE REQUIRED TO: Demonstrate relevant experience, understanding and knowledge of PDEs and Optimization. Conduct innovative research in in PDE-Constrained Optimization Problems. Maintain publishing in high quality journals and present work at national and international conferences. Contribute to the research productivity of the school and assist in research endeavours of it, including the organization of workshops and supervision of postgraduate students. COMMENCEMENT OF FELLOWSHIP: As soon as possible. APPLICATION: Please email the following documents to Prof S.A. Mohammadi by email: [log in to unmask] . Full CV including a list of research publications. Full transcript of recent academic records and copy of doctoral degree certificate and any other relevant certificate. Copy of ID document (or copy of passport in the case of foreign applicants) CLOSING DATE: 31 December 2022 FOR ENQUIRES: [log in to unmask] ------------------------------------------------------- From: Rodrigo B Platte [log in to unmask] Date: October 27, 2022 Subject: Postdoc Positions, Arizona State Univ The School of Mathematical and Statistical Sciences (SoMSS) at Arizona State University invites applications for Postdoctoral Research Scholar positions. The anticipated start date is August 16, 2023. These full-time academic-year, benefits-eligible positions are renewable on an annual basis through spring 2026 contingent upon satisfactory performance, availability of resources, and the needs of the university. The essential duties of the position will be to conduct research in the mathematical sciences, along with a teaching load that is normally three courses per year. Required Qualifications: A Ph.D. in the mathematical or statistical sciences, or a closely related area by the time of appointment. Applicants must be within five years of receipt of their PhD to be considered for initial appointments and subsequent renewals. Demonstrated potential for excellence in research and teaching. Desired Qualifications: A documented research record in an area that meshes with the research interests of a current faculty member or group of faculty members (SoMSS has strong research groups in analysis, combinatorics, computational mathematics, differential equations, dynamical systems, geometry, graph theory, mathematical biology, mathematics education, number theory, probability, and statistics). Demonstrated success working with diverse student and/or faculty populations. The application is through Mathjobs: https://www.mathjobs.org/jobs/list/21206 The application deadline is 4:00 pm Arizona time on December 2, 2022; only applications that are complete by the deadline will be given full consideration. Applications will continue to be accepted on a rolling basis for a reserve pool after the deadline. Applications in the reserve pool may then be reviewed in the order in which they were received until the position is filled. ------------------------------------------------------- From: Martin Kronbichler [log in to unmask] Date: October 28, 2022 Subject: Postdoc/PhD Positions, PDE Solvers for Exascale Computers The project "PDExa: Optimized software methods for solving partial differential equations on exascale supercomputers" strives to develop new classes of algorithms and implementations for the efficient solution of partial differential equations on exascale hardware. The discretization methods involve continuous and discontinuous finite element methods in a variety of applications, including fluid dynamics and physics. The project is a collaborative effort between five PIs at four Universities in Germany, namely in Augsburg, Bochum, Karlsruhe and Munich. We are currently looking for applications for PhD or PostDoc positions. More information can be found at: https://www.uni-augsburg.de/de/fakultaet/mntf/math/prof/hpc/pdexa/positions ------------------------------------------------------- From: Vyacheslav Kungurtsev [log in to unmask] Date: October 24, 2022 Subject: PhD Position, Causal AI for Public Health Structured Graphical Models for Causal Inference is an increasingly important class of Machine Learning techniques, especially in applications of public health and medicine. Using careful well-principled structure in the modeling, conclusions can be reached regarding the cause-effect, rather than simply correlational influence, with far reaching implications for understanding and treatment/policy. The development, analysis, training and inference of these models is highly nontrivial, and involves an array of tools from statistics and information theory along with optimization and numerical analysis. As part of a Horizon Europe EU-wide project, we are seeking motivated and competent PhD students to pursue research in the associated fields. As part of this position, we seek a PhD student with a background in computer science, statistics, and/or applied mathematics to work on probabilistic graphical models subject to potentially time varying trends and exhibiting potential for causal inference. The project will involve developing new models, proving statistical properties thereof, developing techniques to adequately train them with strong accuracy and generalization, and testing them on real biomedical and public health data. The PhD student will be supervised jointly by Vyacheslav Kunurtsev and Ondrej Kuzelka at the Czech Technical University in Prague, the Department of Computer Science. A preference is given to candidates with experience in programming, especially (but not limited to) Python. We expect to start interviewing candidates as soon as possible, with a view of a start between January and September 2023. Please write [log in to unmask] ------------------------------------------------------- From: Kirk M. Soodhalter [log in to unmask] Date: October 25, 2022 Subject: PhD Position, High Performance Computing, Ireland We are advertising an open PhD position at Trinity College Dublin. It is part of our IBM-TCD PhD Fellowship in High Performance Computing cooperation with IBM. The project title is "Error Mitigation & Circuit optimisation for Quantum Time Evolution - theory and algorithms". The School of Mathematics at Trinity College Dublin and IBM Research Dublin invite applications for a jointly supervised, fully funded PhD position. The PhD project will concern applying techniques from numerical analysis and numerical PDEs to address numerical challenges arising in quantum computing, namely estimation and optimization of errors arising in quantum time evolution. Further details and information for interested applicants can be found at https://www.maths.tcd.ie/~ksoodha/jobs/IBM-TCD-Announcement.pdf. This is an attractive position for prospective students, in terms of remuneration, experience working with academic and private sector collaborators on an interesting topic, and job opportunities after the PhD is completed. For further information please contact me ([log in to unmask]) at Trinity College Dublin or Sergiy Zhuk ([log in to unmask]) at IBM Research Dublin. For consideration for the position please submit a full CV including the names of 3 potential referees to me ([log in to unmask]). ------------------------------------------------------- From: Chen Huang [log in to unmask] Date: October 26, 2022 Subject: PhD Positions, Computational Science, Florida State Univ The Department of Scientific Computing at Florida State University welcomes applicants to apply for our interdisciplinary Ph.D. program in computational science. Students from all branches of science, mathematics, and engineering are encouraged to apply. Our department lies at the intersection of applied mathematics, science, and engineering, and has the unique opportunity to train students in areas that cut across disciplines. We work on a wide range of topics in computational sciences, including computational mathematics, computational fluid dynamics, computational astrophysics, computational biology, computational materials science, computational oceanography, and machine learning. Admission requirements: A bachelor's degree in any field of science, mathematics, and engineering. A minimum 3.0 GPA on a 4.0 scale in all coursework attempted while registered as an upper-division undergraduate student. Graduate record examinations (GRE) general test: 85% or above in quantitative and 50% or above in verbal. Language: A native English speaker or pass the TOEFL test (international applicants only). To know more about various research areas at our department, please visit: https://www.sc.fsu.edu/research/faculty For application, please visit: https://www.sc.fsu.edu/graduate/phd If you have any questions, please contact: [log in to unmask] ------------------------------------------------------- From: Hossein Gorji [log in to unmask] Date: October 31, 2022 Subject: PhD Positions, Model-Data Fusion, Empa, Switzerland Empa is the research institute for materials science and technology of the ETH Domain and conducts cutting-edge research for the benefit of industry and the well-being of society. The Laboratory of Multiscale Studies in Building Physic in Dubendorf, Switzerland invites applications for two PhD students for Model-Data Fusion on Complex Networks for a 4 year-project. https://www.empa.ch/en/web/empa/multiscale-studies-in-building-physics The doctoral researchers will focus on the development of stochastic and data-driven methodologies to improve model predictivity and guide intervention measures on multiscale networks. In particular, the applications will deal with disease spread in human populations and cascade failure in power networks. The project will tackle fundamental challenges arising from modeling large-scale networks and integrate original ideas across machine learning and stochastic modeling to enable efficient yet high-fidelity predictions of complex network dynamics. We are looking for two PhD students with strong analytical background, and MSc degree in Engineering, Applied Mathematics, Physics, or a related field. Professional command of English (both written and spoken) is mandatory. The successful candidates show enthusiasm for conducting original research and strives for scientific excellence. Prior exposure to stochastic models, machine learning, or network science would be highly desirable. For more details on the position and application procedures, please check out the original job advertisement on: https://apply.refline.ch/673276/1651/pub/1/index.html ------------------------------------------------------- From: Ursula Tian [log in to unmask] Date: October 23, 2022 Subject: CFP, AppliedMath, Special Issue In this Special Issue, we invite manuscripts dealing with theoretical and application results with consistent methods for the estimation of expectations, nonlinear functions of expectations, quantiles, and other performance measures from the output of simulation experiments. Applications and results for both transient and steady-state simulations will be considered, and methodologies that consider the assessment of the accuracy of the corresponding point estimators are especially welcome. Works related to numerical approaching theory and computer simulation with direct applications in physics such as fluid flow, heat and mass transfer, mechanics, industrial processing analysis based on simulation are also welcome. More information can be found at: https://www.mdpi.com/journal/appliedmath/special_issues/554QNHWEH9 We can provide 100% discounts on APC. If you are interested, please contact the AppliedMath Editorial Office ([log in to unmask]), or the leading Guest Editor, Prof. Dr. David F. Munoz ([log in to unmask]). ------------------------------------------------------- From: Alex Barnett [log in to unmask] Date: October 29, 2022 Subject: Contents, Advances in Computational Mathematics, 48 (5) Advances in Computational Mathematics. Volume 48, Issue 5. https://link.springer.com/journal/10444/volumes-and-issues/48-5 CONTENTS Error estimates of H(div)-conforming method for nonstationary magnetohydrodynamic system. Qianqian Ding, Shipeng Mao, Jiaao Sun Numerical analysis for two-phase flow with non-equilibrium capillary pressure in anisotropic porous media. Khaled Bouadjila, Ali Samir Saad, Mazen Saad, Wissal Mesfar Optimized Ventcel-Schwarz methods for the Cahn-Hilliard equation discretized by the stabilized linear Crank-Nicolson scheme. Yafei Sun, Yingxiang Xu, Shuangbin Wang, Shan Gao H-matrix approximability of inverses of FEM matrices for the time- harmonic Maxwell equations. Markus Faustmann, Jens Markus Melenk, Maryam Parvizi Efficient function approximation on general bounded domains using splines on a Cartesian grid. Vincent Coppe, Daan Huybrechs Two-grid hp-version discontinuous Galerkin finite element methods for quasilinear elliptic PDEs on agglomerated coarse meshes. Scott Congreve, Paul Houston Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions. Arvind K. Saibaba, Rachel Minster, Misha E. Kilmer Numerical investigation of two second-order, stabilized SAV ensemble methods for the Navier-Stokes equations. Nan Jiang, Huanhuan Yang Hermite interpolation by planar cubic-like ATPH. Thierry Bay, Isabelle Cattiaux-Huillard, Laura Saini Polycircular domains, numerical conformal mappings, and moduli of quadrilaterals. Mohamed Nasser, Oona Rainio, Antti Rasila, Matti Vuorinen, Terry Wallace, Hang Yu, Xiaohui Zhang. Corrected trapezoidal rule for near-singular integrals in axi-symmetric Stokes flow. Monika Nitsche A fast direct solver for integral equations on locally refined boundary discretizations and its application to multiphase flow simulations. Yabin Zhang, Adrianna Gillman, Shravan Veerapaneni An inertial extragradient algorithm for equilibrium and generalized split null point problems. Yasir Arfat, Poom Kumam, Muhammad Aqeel Ahmad Khan, Parinya Sa Ngiamsunthorn Weak approximation of SDEs for tempered distributions and applications. Yuga Iguchi, Toshihiro Yamada Interpolation of 3D data streams with C^2 PH quintic splines. Carlotta Giannelli, Lorenzo Sacco, Alessandra Sestini Quadrature by fundamental solutions: kernel-independent layer potential evaluation for large collections of simple objects. David B. Stein, Alex H. Barnett Convergence of consistent and inconsistent schemes for fractional diffusion problems with boundaries. Ercilia Sousa ------------------------------------------------------- From: Irena Lasiecka [log in to unmask] Date: October 25, 2022 Subject: Contents, Evolution Equations and Control Theory, 12 (1) Contents- EECT-vol 12, nr 1. https://www.aimsciences.org/eect 1.Controllability for Schrodinger type system with mixed dispersion on compact star graphs, Roberto de A. Capistrano-Filho, Marcio Cavalcante and Fernando A. Gallego 2.Stability properties for a problem of light scattering in a dispersive metallic domain, Serge Nicaise and Claire Scheid 3.Mathematical analysis of an abstract model and its applications to structured populations (I), Mohamed Boulanouar 4.On the effect of perturbations in first-order optimization methods with inertia and Hessian driven damping, Hedy Attouch, Jalal Fadili and Vyacheslav Kungurtsev 5.Optimal control for stochastic differential equations and related Kolmogorov equations, Stefana-Lucia Anica 6.Stability of a damped wave equation on an infinite star-shaped network, Ahmed Bchatnia and Amina Boukhatem 7.Asymptotic behavior of the wave equation with nonlocal weak damping, anti-damping and critical nonlinearity, Chunyan Zhao, Chengkui Zhong and Zhijun Tang 8.A general decay result for the Cauchy problem of plate equations with memory, Salim A. Messaoudi and Ilyes Lacheheb 9.Theoretical and computational decay results for a Bresse system with one infinite memory in the longitudinal displacement, Mohamed Alahyane, Mohammad M. Al-Gharabli and Adel M. Al-Mahdi 10. Controllability results for Sobolev type Hilfer fractional backward perturbed integro-differential equations in Hilbert space, Ichrak Bouacida, Mourad Kerboua and Sami Segni 11.Cauchy problem for a fractional anisotropic parabolic equation in anisotropic Holder spaces, Sergey Degtyarev 12.Optimal control of the 3D damped Navier-Stokes-Voigt equations with control constraints, Sakthivel Kumarasamy 13. Controllability of retarded time-dependent neutral stochastic integro- differential systems driven by fractional Brownian motion, Youssef Benkabdi and El Hassan Lakhel 14.Existence and regularity in inverse source problem for fractional reaction-subdiffusion equation perturbed by locally Lipschitz sources, Tran Van Tuan 15. A sharp Gagliardo-Nirenberg inequality and its application to fractional problems with inhomogeneous nonlinearity, Divyang G. Bhimani, Hichem Hajaiej, Saikatul Haque and Tingjian Luo 16. Asymptotic analysis of an age-structured predator-prey model with ratio-dependent Holling b functional response and delays, Dongxue Yan, Yuan Yuan and Xianlong Fu ------------------------------------------------------- End of Digest **************************