Subject: NA Digest, V. 22, # 37 NA Digest Sunday, November 06, 2022 Volume 22 : Issue 37 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: New Book, Quantum Control Theory and Application New Book, Banach Space Valued Neural Network New Book, Business Dynamics Models: Optimization-based ... New Book, Solving Nonlinear Equations with Iterative Methods ... Optimization Workshop, Hybrid, Nov 2022 Recent Advances on Approximation Theory, ONLINE, Nov 2022 Statistical Learning for Large Scale Graphs, France, Mar 2023 Copper Mountain Multigrid Methods, USA, Apr 2023 Scale Space and Variational Methods (SSVM), Italy, May 2023 Modelling in Industrial Maintenance and Reliability, UK, Jul 2023 Research Scientist Position, Data Science, SimulaMet, Norway Assistant/Associate Professor Position, Arizona State Univ, USA Visiting Professor Position, Comp Mathematics, Univ of Kansas Postdoc Fellowship Position, Oden Institute, UT Austin Postdoc Position, Artificial Intelligence, Brazil Postdoc Position, Computational Mechanics and Math, Univ of Oslo Postdoc Position, Computational UQ, Technical Univ of Denmark Postdoc Position, Inverse problems, Univ of Edinburgh Postdoc Position, Optimization, Univ of Sao Paulo Postdoc Position, Randomized Algorithms, Argonne NL, USA Postdoc Position, Scientific Computing, Innsbruck, Austria Postdoc Positions, Arizona State Univ Postdoc Positions, RTG on Optimization and Inversion, Univ of Utah PhD/Postdoc Positions, Alpine Mass Movements, ETH Zürich PhD Position, Numerical Analysis, Charles Univ, Czech Republic PhD Position, Scientific Computing, Innsbruck, Austria PhD Positions, Optimization and OR, Univ of Edinburgh PhD Positions, RTG on Optimization and Inversion, Univ of Utah New Journal, Advances in Computational Science and Engineering Proceedings, Sparse Days, France Contents, Intl J Mathematics and Computer Science, 18 (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: Quan-Fang Wang [log in to unmask] Date: November 04, 2022 Subject: New Book, Quantum Control Theory and Application Title: Quantum Control Theory and Application Author: Quan-Fang Wang Publisher: Lambert Academic Publishing https://www.lap-publishing.com/catalog/details/store/es/book/978-620-2- 80240-6/quantum-control-theory-and-application? search=Quantum%20Control%20Theory%20and%20Application,%20Q uan-Fang%20Wang In this monograph, recent years published papers on the quantum control had been collected both for theoretical study and numerical approach. The practical application to the quantum systems covered the Klein-Gordon equation; Sine-Gordon equation; Klein-Gordon- Schrodinger equation (KGS); Gross-Pitaevaskii equation (Bose-Einstein Condensates, BEC); Klein-Gordon-Maxwell equation, and so forth. For the particles physics, single particle, couple heavy particles, many body particles problems had been considered in the quantum theory and computational approach. Three parts contained in the book, Part I is Quantum Control of KGS System; Part II is Quantum Control of BEC; Part III is Control of Quantum System. It is certainly hope to connect system control field to chemistry, physics as well as other research areas (aero space, surface science, etc.). Thereby, wish to get much more interest worldwide on the hot topic quantum system control. ------------------------------------------------------- From: GEORGE ANASTASSIOU [log in to unmask] Date: October 31, 2022 Subject: New Book, Banach Space Valued Neural Network TITLE: BANACH SPACE VALUED NEURAL NETWORK This monograph is about the generalization and modernization of approximation by neural network operators. Functions under approximation and the neural networks are Banach space valued. These are induced by a great variety of activation functions deriving from the arctangent, algebraic, Gudermannian and generalized symmetric sigmoid functions. Ordinary, fractional, fuzzy and stochastic approximations are exhibited at the univariate, fractional and multivariate levels. Iterated- sequential approximations are also covered. The book's results are expected to find applications in the many areas of Applied Mathematics, Computer Science and Engineering, especially in Artificial Intelligence and Machine Learning. Other possible applications can be in applied sciences like Statistics, Economics, etc. Therefore this monograph is suitable for researchers, graduate students, practitioners and seminars of the above disciplines, also to be in all Science and Engineering libraries. https://link.springer.com/book/10.1007/978-3-031-16400-2 ------------------------------------------------------- From: Mitchell Graham [log in to unmask] Date: October 31, 2022 Subject: New Book, Business Dynamics Models: Optimization-based ... Business Dynamics Models: Optimization-based One Step Ahead Optimal Control by Eugenius Kaszkurewicz and Amit Bhaya This book introduces optimal control methods, formulated as optimization problems, applied to business dynamics problems. It includes solutions that provide a rationale for the use of optimal control and guidelines for further investigation into more complex models, as well as formulations that can also be used in a so-called flight simulator mode to investigate different complex scenarios. The text offers a modern programming environment (Jupyter notebooks in JuMP/Julia) for modeling, simulation, and optimization, and Julia code and notebooks are provided on a website for readers to experiment with their own examples. 2022 / xxii + 190 pages / Softcover / 978-1-61197-730-1/ Price $89.00 Bookstore link: https://my.siam.org/Store/Product/viewproduct/?ProductId=44350025 ------------------------------------------------------- From: Mitchell Graham [log in to unmask] Date: November 01, 2022 Subject: New Book, Solving Nonlinear Equations with Iterative Methods ... Solving Nonlinear Equations with Iterative Methods: Solvers and Examples in Julia by C.T. Kelley This user-oriented guide describes state-of-the-art methods for nonlinear equations and shows, via algorithms in pseudocode and Julia with several examples, how to choose an appropriate iterative method for a given problem and write an efficient solver or apply one written by others. A sequel, this book contains new material on pseudo-transient continuation, mixed-precision solvers, and Anderson acceleration. It is supported by a Julia package and a suite of Jupyter notebooks and includes examples of nonlinear problems from many disciplines. October 2022 / xx + 188 pages / Softcover / 978-1-61197-726-4 / Price $84.00 Bookstore Link: https://my.siam.org/Store/Product/viewproduct/?ProductId=44313635 ------------------------------------------------------- From: Dmitri Kvasov [log in to unmask] Date: November 04, 2022 Subject: Optimization Workshop, Hybrid, Nov 2022 14 november 2022, 9:30 - 13:30 (CET), Italy Presentation of the book Y.D. Sergeyev, R. De Leone, Eds. Numerical Infinities and Infinitesimals in Optimization, Springer, Cham, 2022 (https://link.springer.com/book/10.1007/978-3-030-93642-6) University of Calabria, Rende (CS) - Italy In streaming: https://youtube.com/c/DIMESUNICAL-live Speakers: Francesco Valentini, Stefano Curcio, Yaroslav D. Sergeyev, Renato De Leone, Manlio Gaudioso, Alfredo Garro, Annabella Astorino, Lorenzo Fiaschi, Alessandro Cudazzo, and Maria Chiara Nasso. ------------------------------------------------------- From: Patty Hu [log in to unmask] Date: November 03, 2022 Subject: Recent Advances on Approximation Theory, ONLINE, Nov 2022 You are invited to a free webinar organized by MDPI and Mathematics. "Recent Advances on Approximation Theory" on 10 November 2022 9:00 am CET | 3:00 am EST | 4:00 pm CST Asia ZOOM ID: 856 3178 1191 (Please register for the webinar first) Register now for free: https://mathematics-3.sciforum.net/ After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized. Can't attend? Register anyway and we'll let you know when the recording is available to watch. The approximation is the basis of all mathematical procedures since the exact solutions to the problems of the applied sciences are limited to a negligible number of cases. The same real numbers, not rational, can be conceived only for the possibility of assigning them some approximations by default and by excess, with a consequent estimate of the error. The modern theory of approximation can be traced back to P.L. Chebyshev, whose work on approximation began 40 years of research on approximation in connection with the theory of mechanisms. Orthogonal polynomials and special functions represent a crucial tool for approaching the modern theory of approximation. The orthogonality property is certainly the most important one to use in approximation problems since it allows us to avoid the numerical instability that occurs using the Hilbert matrix. It has been shown that the pseudo-Chebyshev functions verify this property (in the same interval and with the same weights as the corresponding classical polynomials). Among these, they have great relevance to the Bessel functions, recently linked to Legendre polynomials. The analysis of fractional calculus through the concepts and formalism of some class of orthogonal polynomials (in particular the Hermite polynomials) had an important development, also in relation to the large interest that this research sector has had in recent years. ------------------------------------------------------- From: Hemant Tyagi [log in to unmask] Date: November 01, 2022 Subject: Statistical Learning for Large Scale Graphs, France, Mar 2023 We will be organizing at Inria Lille a two-day workshop on Statistical Learning for Large Scale Graphs, 9-10th March 2023. This workshop will cover topics under the scope of statistical learning problems on large scale networks, including topics such as clustering, ranking, graph matching, graph neural networks, graph signal processing and dynamic processes on networks. It will feature a combination of long talks (1 hour each, by invited speakers), and contributed talks (10-15 mins each, by PhD students/post- docs/young researchers). The talks will include a general introduction to make them accessible to a wider audience. The submission for contributed talks will be open from 1st November to 15th December 2023. All information about the workshop and about the submission procedure is available at this link: https://statlearngraph23.sciencesconf.org/ Organizers: Hemant Tyagi (Inria Lille) and Christophe Biernacki (University of Lille, Inria Lille) ------------------------------------------------------- From: Rob Falgout [log in to unmask] Date: October 31, 2022 Subject: Copper Mountain Multigrid Methods, USA, Apr 2023 21st Copper Mountain Conference on Multigrid Methods Sunday April 16 - Thursday April 20, 2023 Copper Mountain, Colorado, USA The Copper Mountain Conference on Multigrid Methods was founded in 1983 and is held every two years (odd years). It is widely regarded as one of the premier international conferences on multigrid methods. The 2023 meeting is organized in cooperation with SIAM. The main purpose of this initial announcement is to bring attention to the student paper competition (a tradition at the meeting with a cash award) and some important deadlines. For more information, see our website at https://grandmaster.colorado.edu/copper/2023/ Updates will be provided on the web site and in follow-up announcements in the coming weeks. Don't forget to mark your calendars! Important Deadlines: - Student Paper Competition (no extensions): - Abstract: Friday, January 20, 2023 - Paper (reserved for students who submit an abstract): Friday, January 27, 2023 - Presentation Abstracts: Monday, February 13, 2023 - Early Registration: February 17, 2023 - Journal Special Issue: tentatively June 15, 2023 ------------------------------------------------------- From: Marco Donatelli [log in to unmask] Date: November 03, 2022 Subject: Scale Space and Variational Methods (SSVM), Italy, May 2023 The 9th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2023) will take place from May 21 - May 25 2023, at the Hotel Flamingo Resort in Santa Margherita di Pula, Sardinia, Italy. Topics of interest include, but are not limited to: 3D vision, Approximation methods in imaging, Optimization methods in imaging, Differential geometry and invariants, Image- and feature analysis, Inverse problems in imaging, Machine learning in imaging, Compressed sensing, Manifold- valued data processing, PDEs in data processing, Scale-space methods, Surface and shape modelling and analysis, Segmentation, Registration, Restoration and reconstruction, Medical imaging and other applications. Submissions are now open through the CMT system. Submissions should be a maximum of 12 pages. All papers will undergo a double-blind peer-review procedure. Accepted papers will be presented at the conference either in the format of posters or talks and published in Springer's Lecture Notes in Computer Science series. The conference will award a best student paper prize. Submission of papers deadline: January 23, 2023. Notification of acceptance: February 27, 2023 Camera-ready papers: March 13, 2023 The conference will be in-person only. For detailed information please see: https://events.unibo.it/ssvm2023 ------------------------------------------------------- From: Pamela Bye [log in to unmask] Date: November 04, 2022 Subject: Modelling in Industrial Maintenance and Reliability, UK, Jul 2023 4-6 July 2023, Nottingham, UK https://ima.org.uk/20581/12th-mimar/ The 12th International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR) will take place in Nottingham, UK from 4-6 July 2023. This event is the premier maintenance and reliability modelling conference in the UK and builds upon a very successful series of previous conferences. It is an excellent international forum for disseminating information on the state-of-the-art research, theories and practices in maintenance and reliability modelling and offers a platform for connecting researchers and practitioners from around the world. The submission deadlines for abstracts and the optional full paper for inclusion in the Conference Proceedings are listed below. All submissions are subject to rigorous review before an acceptance decision is made. We hope you can attend and we will provide a warm welcome in Nottingham in 2023. For further information on the conference, including instructions for authors, please visit the conference webpage: https://ima.org.uk/20581/12th-mimar/ Abstracts of 100-200 words via https://my.ima.org.uk by 13 February 2023* ------------------------------------------------------- From: Evrim Acar [log in to unmask] Date: October 31, 2022 Subject: Research Scientist Position, Data Science, SimulaMet, Norway Data Science and Knowledge Discovery Department (DataSci) at Simula Metropolitan Center for Digital Engineering (Oslo, Norway) has an opening for a researcher in data mining/machine learning. Research areas of interest are graph mining, network science, low-rank approximations, tensor decompositions, and numerical optimization. DataSci aims to advance the frontiers of machine learning and data mining by developing novel methods to analyze complex data sets and reveal underlying patterns. In doing so, we enhance knowledge discovery in real-world applications in a range of fields. This research scientist position will involve interactions with multidisciplinary groups consisting of applied mathematicians, computer scientists, engineers, statisticians, biologists, chemists, and clinical researchers. For more details, please see the full job posting: https://www.simulamet.no/about/job/research-scientist-position-data-science-and-knowledge-discovery-department ------------------------------------------------------- From: Rodrigo B Platte [log in to unmask] Date: November 04, 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, visit 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: Xuemin Tu [log in to unmask] Date: November 01, 2022 Subject: Visiting Professor Position, Comp Mathematics, Univ of Kansas The Department of Mathematics at the University of Kansas invites applications for a Visiting Assistant Professor position in computational mathematics. This position is expected to begin as early as August 18, 2023. This is a non-tenure track, limited term, full-time appointment for three consecutive academic years (272 days per year). Preference will be given to candidates whose research meshes well with current faculty interests in computational mathematics. Candidates must demonstrate an outstanding record of research and must be strongly committed to excellence in teaching. Requirements for the position include a PhD or ABD in Mathematics or a related field and outstanding publication record in the designated areas. For a complete announcement and to apply online, go to https://employment.ku.edu/academic/23588BR. A complete on-line application includes: C.V. including record of accomplishments and productivity, cover letter, research statement including a description of research agenda, a teaching philosophy statement, and the names and contact information for four references. In addition, at least four recommendation letters (teaching ability must be addressed in at least one letter) should be submitted electronically to https://www.mathjobs.org/jobs/list/20953. Initial review of applications will begin November 15, 2022 and continue as long as needed to identify a qualified pool. In a continuing effort to enrich its academic environment and provide equal educational and employment opportunities, the university actively encourages applications from members of underrepresented groups in higher education. ------------------------------------------------------- From: Karen Willcox [log in to unmask] Date: October 31, 2022 Subject: Postdoc Fellowship Position, Oden Institute, UT Austin Applications for the Peter O'Donnell Jr. Postdoc Fellowship at the Oden Institute for Computational Engineering and Sciences are being accepted now through December 16, 2022. Please see details at https://www.oden.utexas.edu/research/programs-and-awards/odonnell-jr-postdoc-fellowship/ ------------------------------------------------------- From: Jó Ueyama [log in to unmask] Date: October 31, 2022 Subject: Postdoc Position, Artificial Intelligence, Brazil Area: Artificial Intelligence Project title: Combining Internet of Things and Artificial Intelligence for Flood Prediction Location: ICMC/USP - Sao Carlos - Sao Paulo - Brazil The Center for Mathematical Sciences Applied to Industry (CeMEAI), a Research, Innovation and Diffusion Center (CEPID) supported by FAPESP offers a postdoctoral fellowship in an interdisciplinary project involving the Internet of Things and Artificial Intelligence applied to flood prediction. The research consists of applying machine learning techniques on readings from sensors deployed in the city of Sao Carlos - SP, to predict the risk of flooding in real-time. Candidates for the vacancy must have obtained his/her Ph.D. in CS (or related fields) in the last 5 years. Other requirements are to have authored articles in the area and to demonstrate experience in research and software development, particularly in Python. The selected candidate will be awarded a FAPESP grant of R$8,479.20 monthly and a Technical Reserve equivalent to 10% of the annual amount of the grant to cover expenses related to the research activity. To apply, send the following items by email to [log in to unmask] by January 31st, 2023. Please send the pdf files of the following documents: 1. Letter of interest, containing complete information of contact, year of graduation, and citizenship/immigration status, clearly addressing the research above; 2. Resume; 3. Cover letter including names and contact information of three references. Enter "Postdoc - Flood Prediction" in the subject field of the message. ------------------------------------------------------- From: Kent-Andre Mardal [log in to unmask] Date: November 05, 2022 Subject: Postdoc Position, Computational Mechanics and Math, Univ of Oslo The Department of Mathematics, University of Oslo invites applications for a post-doctoral position in computational science and mathematiccs under the direction of Kent-Andre Mardal. The postdoc will join on the computional hydrology project where mixed dimensional PDEs and machine learning are exploited to model the waterscape of in particular Norway. The project is a part of a larger project of sustainability at the University of Oslo. We seek candidates with a stong background in numerics and computational mechanics. More info can be found at: https://www.jobbnorge.no/en/available-jobs/job/234662/postdoctoral-research-fellow-in-applied-mathematics-mechanics Contact Kent-Andre Mardal ([log in to unmask]) with questions. ------------------------------------------------------- From: Per Christian Hansen [log in to unmask] Date: November 04, 2022 Subject: Postdoc Position, Computational UQ, Technical Univ of Denmark The Technical University of Denmark opens a 2-year Postdoc position starting February 2023. It is part of the research project CUQI: Computational Uncertainty Quantification for Inverse problems https://sites.dtu.dk/cuqi. We create a platform for modeling and computations needed to apply UQ to a range of inverse problems. This position focuses on further development of our package CUQIpy https://cuqi-dtu.github.io/CUQIpy and the underlying computational methods. You will join the developer team and play an integral role in expand- ing CUQIpy to support an even wider range of inverse problems and UQ analyses. You will interact with the CUQI team to ensure that our theory and methods are put into optimal use. Responsibilities include: - Design, abstraction & implementation of Bayesian inversion methods. - Acceleration of computations (using structureand parallelization). - Development of high-level user interfaces for non-experts. - Support and training of CUQIpy users. - Co-supervision of MSc and PhD students. CUQIpy is developed in a highly collaborative GitHub-centered workflow with regular programming sessions, code reviews, sprints, and hacka- thons. We offers rich opportunities to build a profile in scientific software development and computational UQ for inverse problems. For more details and to apply (deadline December 12, 2022), see: https://www.dtu.dk/english/about/job-and-career/vacant-positions/job? id=079d614a-74bf-4946-912d-04b8871f47bb Per Christian Hansen and Jakob Sauer Jorgensen ------------------------------------------------------- From: Nick Polydorides [log in to unmask] Date: November 02, 2022 Subject: Postdoc Position, Inverse problems, Univ of Edinburgh We are looking to recruit a postdoctoral research associate with expertise in numerical PDES and inverse problems. Knowledge of random matrix theory will be considered an advantage. The post is available for an initial period of 18 months with a possibility of renewal for another 12. Further particulars on the post: https://www.jobs.ac.uk/job/CUO275/research-associate-in-scientific-computing Informal enquiries [log in to unmask] Deadline 18th Nov, 22. ------------------------------------------------------- From: Ernesto G. Birgin [log in to unmask] Date: November 06, 2022 Subject: Postdoc Position, Optimization, Univ of Sao Paulo POSTDOC POSITION IN OPTIMIZATION AT THE UNIVERSITY OF SAO PAULO The FAPESP Thematic Project Computational Optimization Methods announces a 12-month post-doctoral fellowship at the Institute of Mathematics and Statistics (https://www.ime.usp.br/en/home/) of the University of Sao Paulo (https://www5.usp.br/#english). The project consists of developing and implementing solution methods for continuous and discrete optimization problems. Candidates should have completed their Ph.D. less than 7 years ago and have a background and proven experience in optimization. Programming skills are also required. The candidate is expected to interact with other members of the project, including MSc and PhD students as well as faculty members of the team. The post-doctoral fellowship includes a monthly stipend of R$ 8.479,20 (about USD 1,700 - enough for the maintenance of a single person in Sao Paulo) and research contingency funds (15% of the annual value of the fellowship, each year). For more details, check out FAPESP's webpage http://www.fapesp.br/en/5427. To apply, the candidate must send the following documents by email until November 30th, 2022: Curriculum vitae with a list of publications, and previous experience; Two recommendation letters, being one preferably from a previous supervisor (those can be sent directly to [log in to unmask] by the recommenders); A motivation letter for the application. All documents must be sent to Prof. Ernesto G. Birgin at [log in to unmask], using 'postdoc application' as the subject. ------------------------------------------------------- From: Sven Leyffer [log in to unmask] Date: November 03, 2022 Subject: Postdoc Position, Randomized Algorithms, Argonne NL, USA The Mathematics and Computer Science Division at Argonne National Laboratory seeks candidates for a postdoctoral position in mixed-integer optimization. In this role you will perform research in the development and implementation of randomized algorithms for solving discrete optimization problems that are critical to challenging applications, such as optimal topology design, and resilience of interconnected infrastructure systems. Knowledge of these application domains is not a prerequisite. Research will be performed in close collaboration with leading scientists in applied mathematics and computer science. Researchers will have access to cutting-edge extreme-scale computing facilities. Argonne provides a collaborative, open-science environment where scientists from various disciplines and backgrounds are engaged in solving challenging fundamental and practical problems. We actively promote diversity in backgrounds, experiences, and perspectives. Position Requirements: (1) Recent or soon-to-be-completed PhD (within the last 0-3 years) in applied mathematics, statistics, computer science, industrial engineering or related field. (2) Experience in nonlinear optimization, discrete optimization, or PDE- constrained optimization. (3) Interest in contributing to the development of numerical software. (4) Experience with (or willingness to explore) high-performance computing environments. (5) Openness to adopt Argonne's core values of impact, respect, integrity, safety and teamwork. US citizenship or permanent residence status are not required for this position. Apply here: https://tinyurl.com/4vspvuzr For more information contact Kibaek Kim ([log in to unmask]), Matt Menickelly ([log in to unmask]), or Sven Leyffer ([log in to unmask]). ------------------------------------------------------- From: Heiko Gimperlein [log in to unmask] Date: November 06, 2022 Subject: Postdoc Position, Scientific Computing, Innsbruck, Austria A postdoc position is available at the University of Innsbruck, Austria, to develop fast and highly accurate numerical methods for simulations in soft matter / bio-nano physics. The position is funded by the Austrian Science Fund FWF. The project will be in close cooperation with colleagues from both numerical analysis and theoretical physics. It will develop new boundary element and finite element methods for parabolic equations, which allow to address open physical questions about the long-time dynamics of many-particle systems outside equilibrium. A strong background in finite or boundary element methods or in scientific computing is essential. Some background knowledge of physics is helpful, but not required. Further information is available from Heiko Gimperlein ([log in to unmask], https://mat1.uibk.ac.at/heiko) and Thomas Franosch ([log in to unmask], https://www.uibk.ac.at/th-physik/bio_nano). ------------------------------------------------------- From: Rodrigo B Platte [log in to unmask] Date: November 04, 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: Akil Narayan [log in to unmask] Date: November 04, 2022 Subject: Postdoc Positions, RTG on Optimization and Inversion, Univ of Utah As part of the NSF-funded RTG "Optimization and Inversion for the 21st Century Workforce," the Department of Mathematics at the University of Utah invites applicants for postdoctoral associates at the level of Assistant Professor (Lecturer). These positions involve working closely with applied mathematics faculty to contribute to RTG initiatives and the overarching goals of the RTG as described at https://www.math.utah.edu/amrtg/. For further information, please contact Professor Ken Golden, [log in to unmask] These are 3-year, termed [postdoctoral] positions. Applicants must have a Ph.D. in Mathematics or a closely related field and must be US citizens, nationals, or permanent residents. Outstanding candidates in areas of optimization, inverse problems, mathematics of materials and fluids, and mathematical climate science, as well as related areas in data science, machine learning and statistics will be considered. Applications from other fields of applied mathematics may be considered as long as they fit in the overarching goals of the RTG. Ideal applicants would be effective educators, and contribute to a diverse and inclusive environment within the department and at the University of Utah. For more information and to apply, please see our ad in Mathjobs https://www.mathjobs.org/jobs/list/21082. Review of complete applications will begin on January 1, 2023 and will continue until the positions are filled. The University of Utah values candidates who have experience working in settings with students from diverse backgrounds and possess a strong commitment to improving access to higher education for historically underrepresented students. ------------------------------------------------------- From: Johan Gaume [log in to unmask] Date: November 04, 2022 Subject: PhD/Postdoc Positions, Alpine Mass Movements, ETH Zürich I wanted to draw your attention on two PhD and one PostDoc positions in the field of modeling alpine mass movements opened at ETH Zurich and at the WSL Institute for Snow and Avalanche Research SLF, Davos. The full description and application webpage is given in the links below: - PostDoc position: "Experimental analysis and numerical modeling of geophysical mass flows": https://www.jobs.ethz.ch/job/view/JOPG_ethz_75RZcrVVQegK6CX6zM - PhD position: "Multiphase Modeling of Alpine Mass Movements and Process Cascades": https://www.jobs.ethz.ch/job/view/JOPG_ethz_FGJe8cXJsB0J210m6G - PhD position: "Modeling Entrainment Mechanisms in Alpine Mass Movements": https://www.jobs.ethz.ch/job/view/JOPG_ethz_vM76ZjvsvKm59ET5sx ------------------------------------------------------- From: Scott Congreve [log in to unmask] Date: November 02, 2022 Subject: PhD Position, Numerical Analysis, Charles Univ, Czech Republic A four year Ph.D. studentship is available in the Department of Numerical Mathematics at Charles University, Czech Republic, on the Primus project "Agglomeration and refinement of polytopic meshes for virtual element and discontinuous Galerkin finite element methods". The Ph.D. grant will be 25000 CZK/month for the project duration (until August 2025) and 20000 CZK/month thereafter. The expected start date will be during February 2023. Applicants must hold a Master's degree by the start date of the Ph.D. (February 2023) and have a strong interest in numerical analysis and finite element methods. Knowledge of MATLAB, C++, Python, or similar is strongly recommended. Applicants will be required to demonstrate an adequate command of English; i.e., at least B2 on CEFR. Interested applicants should submit the following documents to [log in to unmask] before November 18th 2022: Curriculum Vitae; Cover Letter explaining motivation and interest in this position; Official Transcripts for their Master's and undergraduate studies; Brief summary of Master's thesis (inc. PDF of thesis if available). Additionally, the candidate should arrange 2 letters of recommendation to be submitted directly to the same address before the deadline. Further details can be found on the project website: https://www2.karlin.mff.cuni.cz/~congreve/primus/ Informal enquiries about this studentship can be directed to: Dr. Scott Congreve, Department of Numerical Mathematics, Sokolovska 83, 18675 Prague ([log in to unmask]). ------------------------------------------------------- From: Heiko Gimperlein [log in to unmask] Date: November 06, 2022 Subject: PhD Position, Scientific Computing, Innsbruck, Austria A PhD position is available at the University of Innsbruck, Austria, to develop fast and highly accurate numerical methods for simulations in soft matter / bio-nano physics. The position is funded by the Austrian Science Fund FWF. The project will be in close cooperation with colleagues from both numerical analysis and theoretical physics. It will develop new boundary element and finite element methods for parabolic equations, which allow to address open physical questions about the long-time dynamics of many-particle systems outside equilibrium. A background in numerical methods or scientific computing is essential. Some background knowledge of physics is helpful, but not required. Further information is available from Heiko Gimperlein ([log in to unmask], https://mat1.uibk.ac.at/heiko) and Thomas Franosch ([log in to unmask], https://www.uibk.ac.at/th-physik/bio_nano). ------------------------------------------------------- From: E. Alper Yildirim [log in to unmask] Date: November 03, 2022 Subject: PhD Positions, Optimization and OR, Univ of Edinburgh Applications are invited for PhD studies in Optimization and Operational Research at the School of Mathematics at the University of Edinburgh for the academic year 2023-2024. This is a 3-year programme with an additional year available for the completion and submission of the thesis. The students admitted typically have an MSc degree, or 1st class honours degree (or its international equivalent). The School of Mathematics offers several fully funded PhD studentships each year. Students receiving School funding are awarded a competitive stipend equivalent to UKRI stipend rates (17,668 GBP per year for the current academic year) for a period of 4 years plus tuition fee waiver. All applications received by 23rd January 2023 will receive full consideration for funding. Later applications will be considered until all positions are filled. The Optimization and Operational Research Group in the School is an international leader in the mathematical and computing aspects of optimization and operational research, with members of high repute, as evidenced by Editorial Board Memberships in major international journals, international research awards, fellowships and other peer recognitions, and memberships of prestigious international societies. The group members collaborate with several research groups in the UK and overseas, and are actively engaged in collaborations with industry and government. Research Areas: Computational Optimization and Applications; Continuous Optimization; Decision Making under Uncertainty; Future Energy Networks; Integer and Combinatorial Optimization. For further information, please send an e-mail to [log in to unmask] or visit https://www.maths.ed.ac.uk/school-of-mathematics/research/data-decisions/optimization-and-operational-research/phd-opportunities ------------------------------------------------------- From: Akil Narayan [log in to unmask] Date: November 04, 2022 Subject: PhD Positions, RTG on Optimization and Inversion, Univ of Utah As part of the NSF-funded RTG "Optimization and Inversion for the 21st Century Workforce," the Department of Mathematics at the University of Utah invites applicants for graduate student (PhD) research assistantships. These positions involve working closely with applied mathematics faculty to contribute to RTG initiatives and the overarching goals of the RTG as described at https://www.math.utah.edu/amrtg/. For further information, please contact Professor Ken Golden, [log in to unmask] Admission to the PhD program in Mathematics requires a Bachelor's degree in Mathematics (or a related field). Candidates with a strong academic background (e.g., GPA and GRE scores) and strong potential for research are invited to apply. General information about the PhD program can be found at https://www.math.utah.edu/graduate/, and instructions for applying can be found at https://www.math.utah.edu/graduate/GraduateInstructions.php. To be considered for RTG support, applicants must be US citizens, nationals, or permanent residents, but admission to the PhD program is open to all nationalities and backgrounds. The faculty in the Department of Mathematics at the University of Utah that specialize in applied mathematics have diverse areas of expertise, spanning the mathematics of materials and fluids, data science, optimization, inverse problems, machine learning, climate science, probability and statistics, numerical analysis and PDEs. More information about the group can be found at https://www.math.utah.edu/applied-math/. ------------------------------------------------------- From: Annalisa Quaini [log in to unmask] Date: November 03, 2022 Subject: New Journal, Advances in Computational Science and Engineering The editorial office announces the launching of a new journal of the American Institute of Mathematical Sciences (AIMS): Advances in Computational Science and Engineering (ACSE) https://www.aimsciences.org/ACSE. AIMS has been publishing high quality mathematical journals since 1995, however none of them specifically focuses on computational mathematics. ACSE is intended to fill this gap, with special attention to cross-disciplinary, high quality research. Contributions are expected to focus on advances in mathematical, numerical, and data-driven modeling and methods, however nontrivial applications should be discussed. The objective of ACSE is to provide a medium of exchange for cross- disciplinary scientists. ACSE will start as a quarterly publication, with all articles open-access at no charge for authors. The editorial board of ACSE is diverse in terms of disciplines, affiliations, and gender and will do its best to carry out a thorough and responsive review process. Submissions are welcomed: https://www.aimsciences.org/ACSE/guideforauthors ------------------------------------------------------- From: Iain Duff [log in to unmask] Date: November 01, 2022 Subject: Proceedings, Sparse Days, France We are pleased to announce that the slides from most of the talks at the Fourth Sparse Days in St Girons are now available from our website: sparsedays.cerfacs.fr/en/ There were over 100 attendees, over 40% of whom were from outside France and over 20 from the United States. More than 25% of the attendees were students. It was doubly appreciated by them as it was for many their first face-to-face meeting since the outbreak of the COVID pandemic. This meeting, co-organized by INPT and Cerfacs, followed a similar recipe to the three previous conferences organized in St Girons in 1994, 2003, and 2015. We are grateful to our sponsors: ANITI, Atos, Departement Ariege, CIMI, HPE, IRIT, N7 Dev, NEC, and Ville de Saint-Girons for enabling us to fully cover the costs for students and to keep the costs to other participants at a minimal level. The meeting was held as an in-person meeting from Sunday 19th June until Wednesday 22nd June and was memorable both for the excellence of the 38 talks and 9 posters as well as the fantastic hospitality of our hosts in St Girons and Ariege. In the final session for the meeting held at ENSEEIHT in Toulouse, Satoshi Matsuoka and Jack Dongarra made presentations on HPC followed by a panel discussion. We were also able to celebrate Jack's then very recent Turing Award from the IEEE. Such was the success of the meeting that we are already beginning plans for the fifth St Girons meeting, although next year we will host Sparsedays at Cerfacs on 19-20 June 2023 and will post a separate save the date for this. ------------------------------------------------------- From: Badih Ghusayni [log in to unmask] Date: November 01, 2022 Subject: Contents, Intl J Mathematics and Computer Science, 18 (1) The following papers can be downloaded freely via http://ijmcs.future-in-tech.net/Volume18.1.htm Ola A. Neamah, Shatha A. Salman, The relationship between chromatic polynomial and Tutte polynomial for rooted graphs and tree Timothy Eller, Peter Johnson, William Jones, Jakub Kraus, Distance graphs on normed function spaces Shaymaa Maki Kadham, Ameera N. Alkiffai, Model Tumor Response to Cancer Treatment Using Fuzzy Partial SH-Transform An Analytic Study Ali Abd Alhussein Zyarah, Ahmed Hadi Hussain, Semiprime Hollow R-module Rizky Rosjanuardi, Sumanang Muhtar Gozali, Imam Nugraha Albania, c-Convex Subgroups of Finite Dimensional Cyclically Ordered Free Abelian Group Khalid Alshammari, Maslina Darus, Hankel Determinant for a Class of Analytic Functions Involving the Q-Ruscheweyh Derivative and the Symmetric Differential Operator Nongluk Viriyapong, Chawalit Boonpok, Almost (\Lambda,sp)-continuity and p(\Lambda,sp)-open sets Jeeranunt Khampakdee, Chawalit Boonpok, Almost contra- (\Lambda,sp)-continuity and s(\Lambda,sp)-closed sets A. V. Ramakrishna, T. V. N. Prasanna, A Note On New Near Algebraic Structures Napassanan Srisarakham, Chawalit Boonpok, Properties of locally (\Lambda,p)-closed sets Chokchai Viriyapong, Chawalit Boonpok, On generalized (\Lambda,p)-closed sets Saja Abdulameer Kahdim, Areej M. Abduldaim, Principal Component Analysis for Zero Watermarking Technique Montri Thongmoon, Chawalit Boonpok, Characterizations of (\Lambda,p)-R_1 topological spaces Prapart Pue-on, Chawalit Boonpok, Weak (\Lambda,sp)-continuity and \theta(\Lambda,sp)-closed sets Ahmed Hassan Hassan, The Effectiveness of Security Factors on Using Technology Acceptance Model in Jordan Jairo E Castillo H, Jamel Castillo Mejia, Alvaro H. Salas, A Nonlinear Transmission Model with Analytical Soliton Solution Apirat Siraworakun, Suton Tadee, Solutions of the Diophantine Equation p^x+q^y=z^2, where p, q \equiv 3 \pmod{4} Kulprapa Srimud, Suton Tadee, On the Diophantine Equation 3^x+b^y=z^2 ------------------------------------------------------- End of Digest **************************