Subject: NA Digest, V. 21, # 20 NA Digest Sunday, May 30, 2021 Volume 21 : Issue 20 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: New Book, Finite Elements Computational Machine Learning Course, USA, Aug-Nov, 2021 Constructive Approximation and Applications, ONLINE, Sep 2021 Wave Phenomena: Analysis and Numerics, Germany, Sep 2021 Professor of Practice Position, Data Analytics/Modeling, Virginia Tech Postdoc Position, Biomathematics/Sci Comp, Univ of Milan Postdoc Position, Computational PDEs Postdoc Position, Coupled Data Assimilation, Univ of Maryland/ESSIC Postdoc Position, KAUST Postdoc Position, Optimization, HSU Hamburg, Germany Postdoc Position, Scientific ML, Sandia National Labs Postdoc Positions, NIST NRC PhD/Postdoc Positions, Data Assimilation, Germany PhD Position, Applied Mathematics, HSU/UniBw, Germany PhD Position, UQ for Neuroscience Applications Contents, MMA Journal, 26 (2) 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: Alexandre Ern [log in to unmask] Date: May 25, 2021 Subject: New Book, Finite Elements We are glad to announce the publication of the three volumes of our monograph on finite elements: Finite Elements, Texts in Applied Mathematics (TAM), Springer 2021 - I. Approximation and Interpolation (TAM volume 72) - II. Galerkin Approximation, Elliptic and Mixed PDEs (TAM volume 73) - III. First-Order and Time-Dependent PDEs (TAM volume 74) https://link.springer.com/book/10.1007/978-3-030-56341-7 https://link.springer.com/book/10.1007/978-3-030-56923-5 https://link.springer.com/book/10.1007/978-3-030-57348-5 Each volume is a textbook that is suitable for graduate coursework, academic research, and professional engineering. One salient feature of the monograph is the organization of the material into relatively short chapters (12 to 14 pages on average). Each chapter can be covered in one teaching unit and includes exercises. The organization into short chapters will also be useful to experts looking for references to the literature on some specialized topics. Altogether, the three volumes are organized into 83 chapters and contain about 500 exercises. A fourth volume with the solutions to all the exercises is available at https://hal.archives-ouvertes.fr/hal-03226052 Alexandre Ern and Jean-Luc Guermond ------------------------------------------------------- From: Raj Rao [log in to unmask] Date: May 25, 2021 Subject: Computational Machine Learning Course, USA, Aug-Nov, 2021 Announcing enrollment for the Fall cohort of U. Michigan Online Course on Computational Machine Learning for Scientists and Engineers. Dates: August 11 - November 17, 2021 Enroll by: July 11, 2021 https://continuum.engin.umich.edu/programs/jumpstart-ml/ The Continuum Jumpstart Course Computational Machine Learning (ML) for Scientists and Engineers is designed to equip you with the knowledge you need to understand, train, and design machine learning algorithms, particularly deep neural networks, and even deploy them on the cloud. You'll learn by programming machine learning algorithms from scratch in a hands-on manner using a one-of-a-kind cloud-based interactive computational textbook that will guide you, and check your progress, step-by-step. Using real-world datasets and datasets of your choosing, you will understand, and we will discuss, via computational discovery and critical reasoning, the strengths and limitations of the algorithms and how they can or cannot be overcome. You will understand how machine learning algorithms do what they claim to do so you can reproduce these while being able to reason about and spot wild, unsupported claims of their efficacy. By the end of the course, you will be ready to harness the power of machine learning in your daily job and prototype, we hope, innovative new ML applications for your company with datasets you alone have access to. For testimonials from previous participants see https://continuum.engin.umich.edu/programs/jumpstart-ml/testimonials-and-advice/ ------------------------------------------------------- From: Stefano De Marchi [log in to unmask] Date: May 24, 2021 Subject: Constructive Approximation and Applications, ONLINE, Sep 2021 On behalf of the organizing committee of the *5th Dolomites Workshop on Constructive Approximation and Applications* which will be ONLINE from 6 to 10 September 2021, I inform that registration is open: https://events.math.unipd.it/dwcaa21/ ------------------------------------------------------- From: Marlis Hochbruck [log in to unmask] Date: May 25, 2021 Subject: Wave Phenomena: Analysis and Numerics, Germany, Sep 2021 The Collaborative Recearch Centre 1173 at Karlsruhe Institute of Technology (https://www.waves.kit.edu/) invites applications for the Summer School on "Wave Phenomena: Analysis and Numerics". The school takes place from September 27 to 30, 2021. It is directed to PostDocs, PhDs and advanced master students. Lecturers will be Lukas Einkemmer (University of Innsbruck) and Anna Geyer (TU Delft). The event is planned on-site, but also as a world where "roomies and zoomies" can co-exist. The deadline for registration is June 30th, 2021. There is no registration fee. Details and further information can be found here: https://s.kit.edu/zw2m2xjk. ------------------------------------------------------- From: Mark Embree [log in to unmask] Date: May 28, 2021 Subject: Professor of Practice Position, Data Analytics/Modeling, Virginia Tech Virginia Tech seeks applicants for a Professor of Practice position in Computational Modeling and Data Analytics (CMDA), to support project-based learning in CMDA's Capstone Project program. Virginia Tech established the undergraduate CMDA major in 2015, and a capstone project has been a fundamental requirement of the degree from the start. Teams comprising 3-4 students spend a semester tackling nontrivial open-ended projects proposed by clients from industry or academia. The course instructors mentor these teams in problem solving, project management, team dynamics, leadership, technical communication, and career skills. Applicants must have a strong background in computational science or data analytics, with demonstrated leadership solving interdisciplinary problems in a business, government, or research setting; the ability to teach students with diverse interests, backgrounds, and abilities as they tackle open-ended, ambiguous problems; and commitment/sensitivity to address issues of diversity in the university community. Applicants must have earned a master's degree or doctorate in Computer Science, Mathematics, Statistics, or a related field at the time of appointment. For application details, see: https://careers.pageuppeople.com/968/cw/en-us/job/515802 ------------------------------------------------------- From: Simone Scacchi [log in to unmask] Date: May 29, 2021 Subject: Postdoc Position, Biomathematics/Sci Comp, Univ of Milan The group of Numerical Analysis at the Department of Mathematics, University of Milan, invites applications for a PostDoc position (24 months) in the area of biomathematics and scientific computing. The deadline for applications is June 30, 2021 at 11:59 AM (Rome time): https://www.unimi.it/sites/default/files/2021- 05/bando%20assegni%20A%202021_signed.pdf Advisors will be Paola Causin and Simone Scacchi. Expected starting date will be in Fall 2021. Objectives of the research activity will be among the following, depending on the experience of the successful candidate: Development of effective numerical methods and parallel solvers for fluid-structure interaction, with applications to hemodynamics; Development of machine learning techniques for the approximation of partial differential equations, with applications to hemodynamics; Development of effective numerical methods and parallel solvers for the cardiac electro-mechanical activity. Competences: Mathematical modeling; Numerical analysis and scientific computing; Numerical methods for partial differential equations; Machine learning; Programming in C++ and/or Python. Paola Causin and Simone Scacchi ------------------------------------------------------- From: Andrea Cangiani [log in to unmask] Date: May 25, 2021 Subject: Postdoc Position, Computational PDEs The mathLab group at the International School for Advanced Studies (SISSA) in Trieste, Italy, invites applications for a research fellowship position in Numerical Analysis of PDEs, under the supervision of Andrea Cangiani starting anytime before March 2022. The post holder is expected to contribute to the research of the mathLab group on general adaptive methods for multiphysics problems such as moving interface problems, phase transition, FSI. We seek a candidate with strong background in computational PDEs - theory and implementation. Prior experience in HPC and specifically modelling and simulation of industrial and/or biomedical applications is desirable. The duration is 1+1 years (one year plus a further year depending on performance). Applications info, details and requirements are available at the link: https://www.sissa.it/bandi/selezione-pubblica-titoli-conferimento-di-n-1-assegno-di- ricerca-fse-area-matematica-ref-prof (Click file Announcement_FSE_Cangiani.pdf for English version.) Deadline for Applications: 19/07/2021. For enquiries/further info and details, email [log in to unmask] ------------------------------------------------------- From: santha akella [log in to unmask] Date: May 24, 2021 Subject: Postdoc Position, Coupled Data Assimilation, Univ of Maryland/ESSIC UMD/ESSIC seeks to fill a postdoctoral research associate position to study coupled data assimilation strategies within the NASA GEOS coupled forecast system. This work will be performed at the Global Modeling and Assimilation Office (GMAO), NASA, Goddard Space Flight Center (GSFC) in Greenbelt, MD, USA. Please see following for further details.: http://essic.umd.edu/joom2/index.php/employment/3085-postdoctoral-associate-in- coupled-data-assimilation ------------------------------------------------------- From: David Ketcheson [log in to unmask] Date: May 30, 2021 Subject: Postdoc Position, KAUST A postdoctoral fellowship in applied mathematics is currently available in the Numerical Mathematics Group, lead by Prof. David Ketcheson, at King Abdullah University of Science and Technology (KAUST). Depending on the interests and expertise of the applicant, research in this position may be purely theoretical, heavily computational, or somewhere in between. Current areas of research in the group include: - Structure-preserving numerical time integrators - Structure-preserving discretizations of hyperbolic PDEs - Analysis and computation of novel water wave phenomena - Optimal control in epidemiology Examples of current and past research in the group can be found at https://numerics.kaust.edu.sa/publications.html. Postdoctoral fellows in the group are expected to take an active role in determining the direction of their own research and have the opportunity to work closely with masters and doctoral students. Candidates should have a PhD in applied mathematics or a closely-related field and expertise in numerical analysis, PDEs, and/or scientific computing. The position includes a highly competitive tax-free salary as well as free housing and health insurance, along with generous funding for computing equipment and conference travel. The position is renewable for up to three years. Please send a CV and research statement to [log in to unmask] ------------------------------------------------------- From: Kathrin Welker [log in to unmask] Date: May 25, 2021 Subject: Postdoc Position, Optimization, HSU Hamburg, Germany The Helmut-Schmidt-University / University of the Federal Armed Forces in Hamburg (Germany) offers a position as a Postdoctoral Researcher (f/m/d). The position is a full-time position and complete funding for 3 years is available. The successful candidate should support and participate in current research projects of the working group, in particular the analytical and numerical investigation of shape optimization problems, the development of optimization methods and the investigation of optimization methods on shape spaces like manifolds or diffeological spaces. For more information about research topics and projects of the working group, please see https://www.hsu-hh.de/mathematik/forschung/ We support the active participation in national and international scientific conferences and summer schools, possibility to participate in acquiring third-party funds and the generation of scientific publications in renowned international journals. You will be equipped with state-of-the art IT devices (laptop, tablet, desktop PC or Mac). Access to a powerful high performance cluster on campus is granted. Requirements for employment are a PhD in mathematics, a strong background in optimization or numerical mathematics, fundamental knowledge in differential geometry and programming skills. For the job announcement, please see https://www.hsu-hh.de/karriere/wp-content/uploads/sites/658/2021/05/Kennziffer-BIW- 0921.pdf The job announcement is formulated in German but of course applications from international applicants are very welcome. For any questions, please contact Prof. Dr. Kathrin Welker ([log in to unmask]). Your application should include at least a cover letter, CV and certificates of academic degrees. Moreover, letters of recommendation are very welcome. Applications should be directed by e-mail to [log in to unmask] by mentioning the reference number BIW- 0921 by June 17, 2021. ------------------------------------------------------- From: Michael Parks [log in to unmask] Date: May 26, 2021 Subject: Postdoc Position, Scientific ML, Sandia National Labs Our team is seeking a postdoctoral appointee at the Computer Science Research Institute with a strong background in the development of numerical methods for solving problems in computational science, machine learning (ML), and high-performance computing (HPC). The successful candidate will contribute to an effort developing numerical methods for training deep neural networks on leadership class HPC platforms. This work is targeting applications in scientific machine learning, where the appointee will work in a team of scientists to apply their training methods and neural network technologies to problems of broad interest to the science and engineering community, including applications in climate science and plasma physics. To Apply: Go to http://www.sandia.gov/careers/students_postdocs/postdocs.html Click 'View All Jobs' Search for Job ID: 676654 Qualifications We Require: Possess, or are pursuing, a PhD in mathematics, computer science, or related engineering or science field (conferred within 3 years prior to employment). Familiarity with optimization or deep learning, as evidenced by either completion of a graduate class that covered optimization or deep learning, or use of optimization or deep learning in a research setting. Experience in numerical methods development in a research setting, with either released code and/or a published paper on this work. Due to U.S. export-control laws, only U.S. Persons (U.S. citizens, lawful permanent residents, asylees, or refugees) are eligible for consideration. ------------------------------------------------------- From: Tim Burns [log in to unmask] Date: May 28, 2021 Subject: Postdoc Positions, NIST NRC The Applied and Computational Mathematics Division (ACMD) of the National Institute of Standards and Technology (NIST) invites applications for two-year NRC postdoctoral research positions at NIST Laboratories in Gaithersburg, Maryland and Boulder, Colorado. NIST is a Federal government research laboratory specializing in measurement science. ACMD consists of some 46 full-time professional staff, along with part-time faculty appointees and guest researchers. Staff members engage in collaborative research with scientists throughout NIST, providing expertise in applied mathematics, mathematical modeling, and computational science and engineering. Research areas of interest include complex systems and networks, computational materials science, computational fluid dynamics, computational electromagnetics, computational biology, orthogonal polynomials and special functions, applied optimization and simulation, combinatorial software testing, data mining and visualization, parallel and distributed algorithms, quantum information science, and uncertainty quantification in scientific computing. Candidates and their research proposals are evaluated in a competitive process managed by the National Research Council (NRC) Associateship Programs. The current stipend is $72,750 per year; there is also a $5500 travel and equipment allowance. For further details, see https://www.nist.gov/itl/math/postdoctoral-opportunities. Application deadlines are August 1 and February 1. Appointments commence within one year of selection. For questions, contact Tim Burns, [log in to unmask] NIST is an equal opportunity employer. The NRC Associateship Program at NIST is restricted to US citizens. ------------------------------------------------------- From: Sebastian Reich [log in to unmask] Date: May 25, 2021 Subject: PhD/Postdoc Positions, Data Assimilation, Germany The DFG-funded Collaborative Research Center SFB 1294 "Data Assimilation - The Seamless Integration of Data and Models", hosted at the University of Potsdam jointly with its partner institutions HU Berlin, TU Berlin, WIAS Berlin and GFZ Potsdam, invites applications for 12 doctoral/academic staff positions (4 years) and 2 postdoctoral/academic staff positions (2 years) in the field of data assimilation (including statistical inverse problems, dynamical systems, applied and computational mathematics, and machine learning) and its application to biophysics, neurosciences, geosciences, cognative science and pharmacology. Our vision is to establish a rigorous mathematical underpinning of data assimilation, to develop principled computational methodologies, and to apply these methodologies to newly emerging application fields in the geosciences, neurosciences, pharmacology and biophysics. The SFB 1294 provides an excellent research infrastructure including a large interdisciplinary network of researchers and its own graduate school, as well as funding opportunities for conference visits, summer schools, and hosting international experts etc. The website www.sfb1294.de provides more information. Candidate evaluation will begin immediately after the application deadline on June 11th, 2021; with an anticipated start of projects on Septemer 1st, 2021. Interviews will take place between June 25th to July 2nd. Employment will be made according to the individual conditions of the participating institutions (University Potsdam, TU Berlin, HU Berlin, GFZ, WIAS Berlin) employing the selected candidate. All institutions are equal opportunity / affirmative action employers. The SFB 1294 seeks to promote diversity in research, and encourages qualified applicants of any gender and from any background to apply. Applications need to be submitted via https://www.geo-x.net/sfb-1294/. ------------------------------------------------------- From: Thomas Carraro [log in to unmask] Date: May 29, 2021 Subject: PhD Position, Applied Mathematics, HSU/UniBw, Germany Helmut Schmidt University / University of the Federal Armed Forces in Hamburg (Germany) offers a position as PhD student (f/m/d) in Applied Mathematics. The candidate will be part of the DFG project "Characterization of fabrication- microstructure-property relationships for polymer-based battery materials, combining tomographic 3D imaging with modeling and simulation". The interdisciplinary project is part of the DFG priority program "Polymer-based Batteries" (https://www.spp2248.uni-jena.de). The project focuses on the development of numerical methods for 3D-space-resolved and multiscale electrochemical models. - Development of high-performance computing techniques based on multi-core CPUs and GPUs for solving PDE-based problems on complex geometries. - Develop model order reduction techniques to simulate dynamic behavior of batteries. - Support in the teaching of calculus, linear algebra, and numerical mathematics. Courses are taught in German/English. Please send your application with the usual documents exclusively in electronic form (PDF file), quoting the reference number MB-2721 by 04.06.2021. You can find the job advertisement at: https://www.hsu-hh.de/karriere/wissenschaftliches-personal under the link "Kennziffer MB-2721". For information on technical questions, please contact Prof. Dr. Thomas Carraro, e-mail: [log in to unmask] ------------------------------------------------------- From: Daniele Avitabile [log in to unmask] Date: May 28, 2021 Subject: PhD Position, UQ for Neuroscience Applications The Department of Mathematics at the Vrije Universiteit Amsterdam invites applications for a PhD position in uncertainty quantification methods for spatially-extended models in neuroscience. The ideal candidate for this project has a passion for numerical methods (numerical analysis, scientific computing) and is keen to make an impact in a novel application for the neurosciences. Previous knowledge of neuroscience concepts is not a prerequisite, but a firm interest in learning about neuroscience models and applications is essential. The project will be supervised by Daniele Avitabile (Vrije Universiteit Amsterdam) co- supervised by Svetlana Dubinkina (Vrije Universiteit Amsterdam), and Gabriel Lord (Radboud University), and myself. More information can be found at the link below https://werkenbij.vu.nl/ad/phd-positions-in-mathematical-neuroscience/ngla4t/en The deadline for applications is the 13th of June 2021. Informal enquiries can be sent to [log in to unmask] ------------------------------------------------------- From: Raimondas Ciegis [log in to unmask] Date: May 26, 2021 Subject: Contents, MMA Journal, 26 (2) MATHEMATICAL MODELLING AND ANALYSIS The Baltic Journal on Mathematical Applications, Numerical Analysis and Differential Equations ISSN 1392-6292, ISSN 1648-3510 online, Electronical edition: http://mma.vgtu.lt Raimondas {\v{C}}iegis (Editor) Volume 26, Issue 2, 2021 CONTENTS Mohammed Salah Mesai Aoun, Mohamed Selmani and Abdelaziz Azeb Ahmed, Variational Analysis of a Frictional Contact Problem with Wear and Damage Beatriz Campos, Jordi Canela, Antonio Garijo and Pura Vindel, Dynamics of a Family of Rational Operators of Arbitrary Degree Swagata Ray, Soumen De and B. N. Mandal, Use of Galerkin Technique to the Rolling of a Plate in Deep Water Rupanwita Gayen, Sourav Gupta and Aloknath Chakrabarti, Water Wave Scattering by a Thin Vertical Submerged Permeable Plate Islam A. Moneim, An SEIR Model with Infectious Latent and a Periodic Vaccination Strategy Erdo\u{g}an \c{S}en and Art\={u}ras \v{S}tikonas, Asymptotic Distribution of Eigenvalues and Eigenfunctions of a Nonlocal Boundary Value Problem Higinio Ramos and Adelegan L. Momoh, Development and Implementation of a Tenth-Order Hybrid Block Method for Solving Fifth-Order Boundary Value Problems Higinio Ramos and Adelegan L. Momoh, Development and Implementation of a Tenth-Order Hybrid Block Method for Solving Fifth-Order Boundary Value Problems Abdeldjalil Chattouh and Khaled Saoudi, Error Analysis of Legendre-Galerkin Spectral Method for a Parabolic Equation with Dirichlet-Type Non-Local Boundary Conditions Andrej Liptaj, Higher Accuracy Order in Differentiation-by-Integration Mehdi Mesrizadeh and Kamal Shanazari, Meshless Galerkin Method Based on RBFs and Reproducing Kernel for Quasi-Linear Parabolic Equations with Dirichlet Boundary Conditions ------------------------------------------------------- End of Digest **************************