Subject: NA Digest, V. 18, # 39 NA Digest Sunday, September 30, 2018 Volume 18 : Issue 39 Today's Editor: Daniel M. Dunlavy Sandia National Labs dmdunla@sandia.gov Today's Topics: Freely available software for the solution of linear algebra problems News from PARALUTION PLTMG 13 released on Netlib New Book, Big Jobs Guide New Book, Computational Uncertainty Quantification For Inverse Problems New Book, Core-Chasing Algorithms For The Eigenvalue Problem New Book, Numerical Analysis Of PDEs Using Maple And Matlab Fast Direct Solvers, USA, Nov 2018 IMA Early Career Mathematicians, UK, Nov 2018 Micromagnetics: Analysis, Numerics, Applications, Austria, Nov 2018 Numerical Methods for Shallow Water Equations, China, Dec 2018 Mathematical/Statistical Approaches in Data Science, USA, May-Jun 2019 North American High Order Methods, USA, Jun 2019 Matrix Analysis and its Applications, Czech Republic, Sep 2019 FEA/Simulation Software Engineer Position, Akselos, Inc, Boston, USA Faculty Position, Applied Math/Stats, Shippensburg Univ, PA, USA Tenure-Track Position, Univ of Connecticut Assistant Professor Position, Arizona State Univ Postdoc Position, Applied Math & Comp Physics, Nevada National Security Site Postdoc Positions, Machine Learning, Mathematical Imaging, Shenzhen Univ PhD Position, Numerical Analysis, RICAM Linz, Austria PhD Positions, Algorithmic Optimization, Trier Univ, Germany Call for Papers, CAMWA Special Issue, Open-Source PDE Solvers Contents, BIT Numerical Mathematics, 58 (3) Contents, Evolution Equations and Control Theory, 7 (4) Contents, TWMS Journal of Pure and Applied Mathematics, 9 (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: Jack Dongarra Dongarra@icl.utk.edu Date: September 24, 2018 Subject: Freely available software for the solution of linear algebra problems We have an updated the survey of freely available software for the solution of linear algebra problems. Send us comments if you see a problem. http://www.netlib.org/utk/people/JackDongarra/la-sw.html Regards, Jack Dongarra and Ali Charara ------------------------------------------------------- From: Nico Trost nico.trost@amd.com Date: September 28, 2018 Subject: News from PARALUTION It has been a long time without news on PARALUTION. But finally, after months of hard work, I am very pleased to announce that the library will be hosted by AMD in the future. This gives us the opportunity, to fully exploit the available performance of AMD GPUs and CPUs using our single- and multi-node version. Furthermore, all previously available license models will be combined into a single open-source package under MIT License, and therefore available to you without any additional licensing costs! The brand new rocALUTION library, that offers all these great features is released on GitHub as part of the ROCm 1.9 software platform (https://github.com/ROCmSoftwarePlatform/rocALUTION). Looking forward to your feedback, and to answer all of your questions! ------------------------------------------------------- From: Randolph E Bank rbank@ucsd.edu Date: September 25, 2018 Subject: PLTMG 13 released on Netlib PLTMG 13.0 is a package for solving elliptic partial differential equations in general regions of the plane. It is based on a family of continuous Lagrange triangular finite elements. PLTMG features options for adaptive h, p, and hp refinement, coarsening, and mesh moving. PLTMG employs several algebraic multilevel solvers for the resulting systems of equations. PLTMG provides a suite of continuation options to handle PDEs with parameter dependencies. It also provides options for solving several classes of optimal control and obstacle problems. The package includes an initial mesh generator and several graphics packages. Support for the Bank-Holst parallel adaptive meshing paradigm and corresponding domain decomposition solver are also provided. PLTMG is provided as Fortran90 and a little C source code. The code has an interface to MPI. The MPI interface requires libraries that are NOT provided as part of the PLTMG package. PLTMG 13.0 uses Chris Deotte's package WEBGUI 1.0 as its graphical user interface. WEBGUI 1.0 is included as part of the PLTMG source code, but is also available independently. PLTMG 13.0 is available from Netlib and also from the author's homepage. ------------------------------------------------------- From: Michelle Montgomery montgomery@siam.org Date: September 30, 2018 Subject: New Book, Big Jobs Guide Big Jobs Guide: Business, Industry, And Government Careers For Mathematical Scientists, Statisticians, And Operations Researchers Jobs using mathematics, statistics, and operations research are projected to grow by almost 30% over the next decade. BIG Jobs Guide helps job seekers at every stage of their careers in these fields explore opportunities in business, industry, and government (BIG). Written in a conversational and practical tone, BIG Jobs Guide offers insight on topics such as: What skills can I offer employers? How do I write a high-impact resume? Where can I find a rewarding internship? What kinds of jobs are out there for me? The Guide also offers insights to advisors and mentors on topics such as how departments can help students get BIG jobs and how faculty members and internship mentors can build institutional relationships. 2018 / xii + 141 pages / Softcover / ISBN: 978-1-611975-28-4 / List Price $25.00 / SIAM Member Price $17.50 / SIAM Student Price $15.00 / Order Code: OT158 / http://bookstore.siam.org/ot158/ ------------------------------------------------------- From: Michelle Montgomery montgomery@siam.org Date: September 24, 2018 Subject: New Book, Computational Uncertainty Quantification For Inverse Problems This book is an introduction to both computational inverse problems and uncertainty quantification (UQ) for inverse problems. The book also presents more advanced material on Bayesian methods and UQ, including Markov chain Monte Carlo sampling methods for UQ in inverse problems. Each chapter contains MATLAB code that implements the algorithms and generates the figures, as well as a large number of exercises accessible to both graduate students and researchers. 2018 / viii + 135 pages / Softcover / 978-1-611975-37-6 / List $59.00 / SIAM Member $41.30 / Order Code: CS19 / http://bookstore.siam.org/cs19/ ------------------------------------------------------- From: Michelle Montgomery montgomery@siam.org Date: September 24, 2018 Subject: New Book, Core-Chasing Algorithms For The Eigenvalue Problem Eigenvalue computations are ubiquitous in science and engineering. John Francis's implicitly shifted QR algorithm has been the method of choice for small to medium sized eigenvalue problems since its invention in 1959. This book presents a new view of this classical algorithm. While Francis's original procedure chases bulges, the new version chases core transformations, which allows the development of fast algorithms for eigenvalue problems with a variety of special structures. This also leads to a fast and backward stable algorithm for computing the roots of a polynomial by solving the companion matrix eigenvalue problem. The authors received a SIAM Outstanding Paper prize for this work. 2018 / x + 149 pages / Softcover / ISBN: 978-1-611975-33-8 / List $64.00 / SIAM Member $44.80 / Order Code: FA13 / http://bookstore.siam.org/fa13/ ------------------------------------------------------- From: Michelle Montgomery montgomery@siam.org Date: September 24, 2018 Subject: New Book, Numerical Analysis Of PDEs Using Maple And Matlab This book provides an elementary yet comprehensive introduction to the numerical solution of partial differential equations (PDEs). Used to model important phenomena, such as the heating of apartments and the behavior of electromagnetic waves, these equations have applications in engineering and the life sciences, and most can only be solved approximately using computers. Numerical Analysis of Partial Differential Equations Using Maple and MATLAB provides detailed descriptions of the four major classes of discretization methods for PDEs (finite difference method, finite volume method, spectral method, and finite element method) and runnable MATLAB code for each of the discretization methods and exercises. It also gives self-contained convergence proofs for each method using the tools and techniques required for the general convergence analysis but adapted to the simplest setting to keep the presentation clear and complete. 2018 / x + 153 pages / Softcover / 978-1-611975-30-7 / List $64.00 / SIAM Member $44.80 / Order Code: FA12 / http://bookstore.siam.org/fa12/ ------------------------------------------------------- From: Jianlin Xia xiaj@purdue.edu Date: September 28, 2018 Subject: Fast Direct Solvers, USA, Nov 2018 Purdue CCAM (Center for Computational & Applied Mathematics) is hosting the 2018 Conference on Fast Direct Solvers on Nov 9-11, 2018 (starting from the afternoon of Fri, Nov 9). The purpose of the conference is to discuss and exchange ideas on topics related to fast direct solvers, such as structured matrices and structured direct solvers, sparsity and data sparsity, high performance direct solvers, randomized algorithms, structured preconditioning, fast PDE and IE solvers, related applications, and other relevant subjects. The organizers are Jie Shen and Jianlin Xia. The confirmed invited speakers are: Eric Darve, Stanford University Ming Gu, UC Berkeley Sabine Le Borne, Hamburg University of Technology, Germany Eric Michielssen, University of Michigan Olaf Schenk, Universita della Svizzera italiana, Switzerland Xiaobai Sun, Duke University Hongkai Zhao, UC Irvine Contributed talks are welcome. Please register to participate or submit talk information. There is no registration fee. Deadline for booking the conference hotel room: Oct 10, 2018. Please see the conference webpage for more information. http://www.math.purdue.edu/~xiaj/FastSolvers2018 ------------------------------------------------------- From: Pamela Bye pam.bye@ima.org.uk Date: September 26, 2018 Subject: IMA Early Career Mathematicians, UK, Nov 2018 IMA Early Career Mathematicians' Autumn Conference 2018 Saturday 3 November 2018, University College London The conference will interest mathematicians early in their career, be it in academia or industry, as well as students of mathematics, and those with an interest in the subject. There will be plenty of time to network; allowing you the opportunity to meet people with similar interests and find out more about the wide range of careers that are available. Registration will open via: https://my.ima.org.uk Conference Webpage: https://ima.org.uk/10273/ima-early-career-mathematicians-autumn-conference-2018 For further information to students, including the "IMA eStudent" grade: http://www.ima.org.uk/student.cfm.html The Early Career Mathematicians' (ECM) Branch is designed for those with a maths degree who are within the first 15 years of graduating, or, those without a degree who are within the first 15 years of membership. The ECM group has been set up to engage and empower ECM, and students of mathematics at university, to provide them with support and an opportunity to network. The ECM Branch holds conferences twice a year which provide an opportunity for mathematicians across industry, academia and university to meet. It offers a range of mathematical presentations and activities for attendees to participate in. ------------------------------------------------------- From: Dirk Praetorius dirk.praetorius@asc.tuwien.ac.at Date: September 25, 2018 Subject: Micromagnetics: Analysis, Numerics, Applications, Austria, Nov 2018 MANA 2018 - Micromagnetics: Analysis, Numerics, Applications TU Wien, November 8-9, 2018 The aim of the interdisciplinary workshop is to bring together some of the leading researchers working in micromagnetics to give an overview of the active research interests in the field, encourage intensive idea exchanges, and possibly initiate new collaborations. The workshop consists of invited talks (45 minutes each) plus a poster session. Registration deadline: October 10, 2018 Confirmed speakers: Francois Alouges, Ecole Polytechnique, France; Sergio Conti, University of Bonn, Germany; Massimiliano D'Aquino, Parthenope University of Naples, Italy; Riccardo Hertel, University of Strasbourg, France; Stavros Komineas, University of Crete, Greece; Felix Otto, MPI for Mathematics in the Sciences, Germany; Andreas Prohl, University of Tubingen, Germany; Valeriy V. Slastikov, University of Bristol, UK; Dieter Suess, University of Vienna, Austria Homepage: http://www.asc.tuwien.ac.at/mana2018/ ------------------------------------------------------- From: Alexander Kurganov alexander@sustc.edu.cn Date: September 25, 2018 Subject: Numerical Methods for Shallow Water Equations, China, Dec 2018 The Second Conference on Numerical Methods for Shallow Water Equations and Related Models will be held at the Southern University of Science and Technology (SUSTech) in Shenzhen, China during December 8-10, 2018. You can find more details about conference at the web page: http://math.sustc.edu.cn/conference/10865.html?lang=en At this conference, experts in numerical analysis and modeling of shallow water flows will present their recent results and discuss collaborative research projects. The list of invited speakers includes: Christophe Berthon, University of Nantes, France; Zhixian Cao, Wuhan University, China; Manuel Castro Diaz, University of Malaga, Spain; Alina Chertock, North Carolina State University, USA; Wai Sun Don, Ocean University of China; Michael Dumbser, University of Trento, Italy; Stephen Griffiths, University of Leeds, UK; Kaiheng Hu, Chinese Academy of Sciences, China; Maria Lukacova-Medvidova, University of Mainz, Germany; Sebastian Noelle, RWTH Aachen University, Germany; Mario Ricchiuto, INRIA Bordeaux Sud-Ouest, France; Jacques Sainte-Marie, CEREMA, INRIA Paris, France; Chi-Wang Shu, Brown University, USA; Tao Xiong, Xiamen University, China; Xinghui Zhong, Zhejiang University, China There will be also several contributed talks. If you plan to attend the conference, please send an e-mail to Prof. Alexander Kurganov at alexander@sustc.edu.cn In your letter, please indicate whether you would like to give a contributed talk (in this case, please include the title and abstract of your proposed talk) and whether you would like to apply for some financial assistance as we will be able to cover local expenses for some of the participants (in this case, please attach your CV). Please send your application by November 1, 2018. ------------------------------------------------------- From: Yifei Lou yifei.lou@utdallas.edu Date: September 24, 2018 Subject: Mathematical/Statistical Approaches in Data Science, USA, May-Jun 2019 The workshop on "Recent Developments on Mathematical/Statistical approaches in DAta Science" (MSDAS) will be held on May 31-June 2, 2019 at the University of Texas, Dallas, TX, USA. The objectives of this workshop are (1) to facilitate discussions and foster collaborations among the participants with different backgrounds and expertise; (2) to attract new researchers to the field of data science and to offer mentoring service to junior participants in this field; and (3) to bridge the gap between the theoretical development in academia and practical applications in industry. The workshop will be multidisciplinary with topics ranging from scientific computing and statistics to various applications in data science. Besides regular oral/poster presentations, there will be a panel discussion for careers in data science and a tour (up to 20 participants) to visit the Medical Artificial Intelligence and Automation (MAIA) Laboratory at the University of Texas Southwestern Medical Center. Information on speakers and further details can be found on the workshop webpage: https://sites.google.com/site/utd2019workshop/ Registration is free of charge but mandatory and can be done at https://utdallas.qualtrics.com/jfe/form/SV_cOMp7jrVD6sbY3z This workshop is partially supported by the National Science Foundation (NSF). Partial travel supports are available for junior researchers (including postdocs), graduate students, and non-NSF grantees to attend this workshop. Please see Registration page for more details. ------------------------------------------------------- From: Gustaaf Jacobs gjacobs@sdsu.edu Date: September 28, 2018 Subject: North American High Order Methods, USA, Jun 2019 The North American High Order Methods Conference (NAHOMCon) will be held June 3-7, 2019 at the San Diego State University to be the forum for computational scientists, mathematicians, scientists and engineers to share ideas and techniques on and further the state of the art of high order methods (order three or higher) for the solution of partial differential equations with applications to a broad range of scientific and engineering applications. While the meeting is held in North America, hence the name of the conference, we welcome participation from outside the continent. Please join us in June to advance the development and application of high order methods! For more information visit our web site at https://nahomcon19.sdsu.edu. Gustaaf Jacobs, David Kopriva, Jose Castillo and Frank Giraldo ------------------------------------------------------- From: Miro Rozloznik miro@math.cas.cz Date: September 26, 2018 Subject: Matrix Analysis and its Applications, Czech Republic, Sep 2019 The 8th International Conference on Matrix Analysis and its Applications, MAT TRIAD 2019 will be held in Liblice, Czech Republic, in September 8 - 13, 2019. MAT TRIAD provides an opportunity to bring together researchers sharing an sharing an interest in a variety of aspects of matrix analysis and its applicatio applications in other area of science. Researchers and graduate students i students interested in recent developments in matrix theory and computatio computation, spectral problems, applications of linear algebra in statistics statistics, statistical models, matrices and graphs as well as combinator combinatorial matrix theory are particularly encouraged to attend. The format of format of the meeting will involve plenary sessions, special sessions and sessi and sessions with contributed talks posters. The list of invited speakers includes also two winners of Young Scientists Award of MAT TRIAD 2017 held in Bedlewo, Poland: Dario Bini, University of Pisa, Italy; Mirjam Dur, University of Augsburg, Germany; Shmuel Friedland, University of Illinois, Chicago, USA; Arnold Neumaier, University of Vienna, Austria; Martin Stoll, Technical University of Chemnitz, Germany; Zdenek Strakos, Charles University, Prague, Czech Republic; Alvaro Barreras, Universidad Internacional de La Rioja, Spain; Ryo Tabata, National Institute of Technology, Fukuoka, Japan The conferences from MAT TRIAD series attract a number of inte international participants, provide a high quality scientific program as well well as a friendly atmosphere for the discussion and exchange of ideas. The The MAT TRIAD 2019 is organized by the Institute of Mathematics, Czec Czech Academy of Sciences and Faculty of Mathematics and Physics, Char Charles University in Prague (MFF UK). A special issue of Applications of M of Mathematics will be published after the meeting, with the papers rela related to the talks presented during the conference. The deadline for special session proposals is January 31, 2019. The de deadline for registration and submission of abstracts is May 31, 2019. Re Registration will be open soon at the link http://mattriad.math.cas.cz/ including the additional information about the venue, program, deadlines and chartered buses from Prague to Liblice and back. In case of any question, do not hesitate to contact us at mattriad@math.cas.cz ------------------------------------------------------- From: David Knezevic david.knezevic@akselos.com Date: September 28, 2018 Subject: FEA/Simulation Software Engineer Position, Akselos, Inc, Boston, USA Akselos is an MIT spin-off that provides an advanced cloud-based Digital Twin platform that enables fast, high-fidelity analysis of critical machines and infrastructure. We recently completed a Series A funding round including investment from innogy Ventures and Shell Ventures, and we are currently expanding our team. We are hiring a developer to contribute to Akselos's core simulation engine, which includes advanced reduced order modeling (ROM) and finite element analysis (FEA) capabilities. The ideal candidate will have the following skills: - Solid understanding of mathematical foundations of FEA. - Experience with development of FEA software (either open source or commercial). - Advanced C++ knowledge and experience. - Familiarity with FEA for solid mechanics (linear and nonlinear), including solids, shells, and beams. - Experience with MPI-based high-performance computing. - Experience with reduced order modeling is a plus. Please forward a CV/resume with a cover letter to recruitment@akselos.com ------------------------------------------------------- From: Luis Melara lamelara@ship.edu Date: September 24, 2018 Subject: Faculty Position, Applied Math/Stats, Shippensburg Univ, PA, USA Tenure-Track Position in Applied Mathematics/Statistics at Shippensburg University of Pennsylvania The Mathematics Department at Shippensburg University is looking to expand its offerings in applied mathematics, statistics, actuarial science, and/or data science. One tenure-track position is available. Applications will begin to be reviewed on Nov. 30, 2018. Please contact Prof. Kate McGivney at KGMcGi@ship.edu with any inquiries. For more information on this position, please go to https://jobs.ship.edu/postings/1301. ------------------------------------------------------- From: Qian Yang qyang@uconn.edu Date: September 25, 2018 Subject: Tenure-Track Position, Univ of Connecticut The Computer Science and Engineering (CSE) Department at the University of Connecticut invites applications for a tenure-track faculty position at the assistant professor level. The position is expected to start on August 23, 2019. The department is seeking a Computer Scientist specializing in Machine Learning, Data Mining or Systems. The University of Connecticut (UConn) is entering a transformational period of growth supported by the $1.7B Next Generation Connecticut (http://nextgenct.uconn.edu/), the $1B Bioscience Connecticut (http://biosciencect.uchc.edu/) investments, and a bold new Academic Plan: Path to Excellence (http://issuu.com/uconnprovost/docs/academic-plan-single-hi-optimized_1). As part of these initiatives, UConn has hired more than 450 new faculty members at all ranks during the past five years. We are pleased to continue these investments by inviting applications for this new position. The Department of Computer Science & Engineering harbors a rich environment of instruction and research, offering three rigorous degrees (B.S., M.S., and Ph.D.) in the computing sciences and a world-class research enterprise. Additional information about the department can be found at http://www.cse.uconn.edu/. Successful candidates will be expected to develop and sustain an internationally-recognized and externally-funded research program in Computer Science with specialization in the fields of Machine Learning, Data Mining or Systems. Successful candidates must share a deep commitment to effective instruction in Computer Science at the undergraduate and graduate levels as well as development of innovative courses and mentoring of students in research, outreach and professional development. Successful candidates are also expected to broaden participation among members of under-represented groups; demonstrate through their teaching, research and/or public engagement the richness of diversity in the learning experience; and provide leadership in developing pedagogical techniques designed to meet the needs of diverse learning styles and intellectual interests. For further information on this position and to apply, please visit the following URL: https://academicjobsonline.org/ajo/jobs/12030 ------------------------------------------------------- From: Rosemary Renaut renaut@asu.edu Date: September 24, 2018 Subject: Assistant Professor Position, Arizona State Univ The School of Mathematical and Statistical Sciences at Arizona State University invites applications for a full-time tenure-eligible position in applied and computational mathematics at the rank of Assistant Professor. Anticipated start date is Fall 2019. Full details of the position are available at https://math.asu.edu/careers and https://www.mathjobs.org/jobs/jobs/12570. ------------------------------------------------------- From: Marylesa Howard howardmm@nv.doe.gov Date: September 24, 2018 Subject: Postdoc Position, Applied Math & Comp Physics, Nevada National Security Site The Signal Processing and Applied Mathematics group at the U.S. Department of Energy's Nevada National Security Site is seeking a post- doctoral research candidate to join its team of physicists and applied mathematicians in North Las Vegas, NV. The projects involve designing algorithms to analyze signal and image data from large-scale physics experiments in support of the National Nuclear Security Administration's (NNSA) Science Based Stockpile Stewardship and Global Security efforts. We seek candidates with backgrounds in image and signal processing, inverse problems, Bayesian modeling, Markov Chain Monte Carlo algorithms, uncertainty quantification, and nuclear physics. The projects focus on modeling and algorithms for analysis of X-ray and neutron radiographies, including statistical image deblurring and enhancement, image segmentation, and uncertainty quantification associated with real-time algorithms for linear inverse problems. The position is available immediately, but the start date is negotiable. A Ph.D. in mathematics, statistics, electrical engineering, physics, computer science, or related field must be obtained prior to start date. The full position posting can be found at https://careers- msts.icims.com/jobs/1716/senior-scientist---limited-term-post-doc/job; contact Marylesa Howard (howardmm@nv.doe.gov) or Aaron Luttman (luttmaab@nv.doe.gov) for further information. U.S. citizenship is required. ------------------------------------------------------- From: Jian Lu jianlu1979@163.com Date: September 29, 2018 Subject: Postdoc Positions, Machine Learning, Mathematical Imaging, Shenzhen Univ Postdoc Positions in Shenzhen University, China Location: Shenzhen, China Job Type: Full-Time Duration: 2 years Number of Position: 2 Positions Closing Date: Open Until Filled Description: We are looking for Postdoctoral Researchers in Computer Science, Applied and Computational Mathematics and related discipline with extensive experience in the following field(s): 1. Machine Learning (deep learning); 2. Signal and Image Processing/Analysis; 3. Computer vision; 4. Optimization, etc. We have no teaching tasks and check in / check out policy for Postdoctoral Researchers. Promotors: - Prof. Jian Lu (Shenzhen Key Laboratory of Advanced Machine Learning and Applications) - Prof. Lixin Shen (Syracuse University, USA) - Prof. Charles K. Chui (Editor-in-Chief, Applied and Computational Harmonic Analysis (ACHA), Elsevier.) The salary is about 30,000+ RMB (43,000 US dollars) per year, of which 120,000 RMB per year comes from a local government source as a tax-free postdoc subsidy. Those who are interested please send their C.V. to Prof. Dr. Jian Lu, e-mail: jianlu@szu.edu.cn; jianlu1979@163.com ------------------------------------------------------- From: Stefan Takacs stefan.takacs@ricam.oeaw.ac.at Date: September 24, 2018 Subject: PhD Position, Numerical Analysis, RICAM Linz, Austria We are looking for a PhD student to work within the project "Fast Solvers for Isogeometric Analysis", which is funded by the Austrian Science fund (FWF) under grant P31048 and led by Stefan Takacs. The starting date of the project can be adjusted to the candidate's needs. The main research goal of the project is the construction and the analysis of fast numerical methods for solving linear systems arizing from the discretization of partial differential equations with isogeometric analysis. The job includes both analysis of new algorithms and their implementation. The selected candidate will have the opportunity to present the results on scientific conferences worldwide and to earn a PhD degree from the Johannes Kepler University (JKU), Linz, Austria. The candidate is required to have a master degree (or equivalent) in mathematics or a related field. Preferably, the candidate should be familiar with numerical analysis of partial differential equations and should have good programming skills. We offer in accordance with the rules of the FWF a yearly gross salary of EUR 29.573,60 within a 75% employment (30 hours per week). Funding would be possible for up to four years. The selected candidate will be located at the RICAM (https://www.ricam.oeaw.ac.at/), Linz, Austria. The institute, which is part of the Austrian Academy of Sciences (OAW), offers high standard research and life conditions. The Austrian Academy of Sciences is an equal opportunity employer. The application should be sent as one single pdf file per e-mail to the project leader Stefan Takacs (stefan.takacs@ricam.oeaw.ac.at). The application should contain a curriculum vitae and information on the lectures successfully completed during the studies. Moreover, a copy of the master certificate and a copy of the master's thesis should be attached. There is no fixed deadline; we will announce online on the project homepage when the position is filled: http://www.numa.uni-linz.ac.at/~stefant/personal/p31048.php Please feel free, to contact the project leader Stefan Takacs for any information regarding this position (as the detailed research topics, duties and benefits of the positions, etc.). ------------------------------------------------------- From: Volker Schulz volker.schulz@uni-trier.de Date: September 28, 2018 Subject: PhD Positions, Algorithmic Optimization, Trier Univ, Germany RTG 2126 (Graduiertenkolleg) Algorithmic Optimization The Research Training Group (RTG) Algorithmic Optimization, funded by the Deutsche Forschungsgemeinschaft (DFG), invites applications for several doctoral research positions (TVL 13, 75%) at Trier University for the period of 3 years, starting early in 2019. The research topics are devoted to all mathematical aspects of algorithmic optimization with an emphasis on applications, in particular in large and big data as well as systems models from economics. The doctoral research positions do not involve teaching duties. At the time of hiring, applicants must hold a MSc degree (or equivalent) in mathematics or a strongly related field. They should be able to communicate in English and should document their interest in the scientific goals of the research program of the research training group (Graduiertenkolleg). Excellent programming skills are a plus. Applications should include: letter of motivation (no longer than 2 pages); curriculum vitae; a recent letter of reference (in English or German) to be sent directly to the address given below; contact information of at least one additional reference; copies of earned degrees (in German or English translation); a mathematical writing sample (preferably the master's thesis); transcript of grades. Applications from researchers of all nationalities are welcome. Trier University strives to increase the share of women in research and strongly encourages women to apply. Trier University is a certified family-friendly employer. Applicants with disabilities who are equally qualified will be favoured. Please compile all application materials into one pdf or zip-file and send it via e-mail to: Email: alop@uni-trier.de Subject: RTG ALOP For full consideration, applications must be received by October 17, 2018, however, late applications will be considered until the positions are filled. For more information see: https://alop.uni-trier.de/job-opening/ ------------------------------------------------------- From: Fei Xu fei.xu@ansys.com Date: September 29, 2018 Subject: Call for Papers, CAMWA Special Issue, Open-Source PDE Solvers Computers & Mathematics with Applications (Elsevier, current impact factor 1.860) will launch a special issue dedicated to open-source numerical solvers for partial differential equations (PDEs). The primary purpose of this special issue is to provide an overview of the progress in this rapidly developing area and to identify current trends and near-term prospects in connection with the algorithm design, theoretical development, and various areas of application of open- source software for PDEs. Our goal is to let authors focus on the software design, algorithms, applications and future prospects of open source PDE solvers. Articles focusing on these topics are usually very difficult to publish in refereed journals in either applied mathematics, or engineering, or computer science. In addition, we attempt to facilitate better communication between the authors and the users of such packages by providing the developers with a forum to present their work and supplying an up-to-date list of open source PDE solvers. Major numerical methods covered in this special issues include, but not limited to, finite difference methods, finite element methods, finite volume methods, spectral methods, meshfree/meshless methods (e.g. LBM and SPH), gradient discretization methods, domain decomposition methods, time discretization methods, as well as multigrid methods (in conjunction with spatial discretization). The guest editors of this special issue invite authors of open-source packages interested in having their package listed in the editorial as well as the potential contributors to the special issue to fill out by November 30th a short information sheet (https://goo.gl/forms/4LdrD3BCVGtMAZef1). Please note that, required by the journal, a printed published paper must contain at least 15 pages. The estimated manuscript submission deadline is June 30, 2019. The guest editors encourage you to help spreading this "Call for Papers" to your colleagues and collaborators active in this area. ------------------------------------------------------- From: Lars Eldén lars.elden@liu.se Date: September 25, 2018 Subject: Contents, BIT Numerical Mathematics, 58 (3) BIT Numerical Mathematics. Volume 58 Number 3 is now available online. Analysis of local discontinuous Galerkin method for time-space fractional convection-diffusion equations, M. Ahmadinia, Z. Safari and S. Fouladi Solution methods for linear discrete ill-posed problems for color image restoration, A. H. Bentbib, M. El Guide, K. Jbilou, E. Onunwor and L. Reichel Correction to: Solution methods for linear discrete ill-posed problems for color image restoration, A. H. Bentbib, M. El Guide, K. Jbilou, E. Onunwor and L. Reichel Well-balanced mesh-based and meshless schemes for the shallow-water equations, Alexander Bihlo and Scott MacLachlan Relative perturbation bounds for eigenpairs of diagonalizable matrices, Yanmei Chen, Xiaofei Peng and Wen Li Numerical integration using integrals over hyperplane sections of simplices in a triangulation of a polytope, Allal Guessab and Boris Semisalov Optimal $$L^\infty (L^2)$$ L\infty(L2) error analysis of a direct discontinuous Galerkin method for a time-fractional reaction-diffusion problem, Chaobao Huang, Martin Stynes and Na An Unconditionally positive and conservative third order modified Patankar-Runge-Kutta discretizations of production-destruction systems, Stefan Kopecz and Andreas Meister Efficient preconditioner of one-sided space fractional diffusion equation, Xue-Lei Lin, Michael K. Ng and Hai-Wei Sun A Lyapunov and Sacker-Sell spectral stability theory for one-step methods, Andrew J. Steyer and Erik S. Van Vleck An efficient fourth-order in space difference scheme for the nonlinear fractional Ginzburg-Landau equation, Pengde Wang and Chengming Huang A parallel spectral deferred correction method for first-order evolution problems, Shuai Zhu and Shilie Weng ------------------------------------------------------- From: Irena Lasiecka IL2V@VIRGINIA.EDU Date: September 23, 2018 Subject: Contents, Evolution Equations and Control Theory, 7 (4) Evolution Equations and Control Theory http://aimsciences.org/journal/A0000-0000/2018/7/4 CONTENTS Tomas Barta, Exact rate of decay for solutions to damped second order ODE's with a degenerate potential Imen Benabbas and Djamel Eddine Teniou, Observability of wave equation with Ventcel dynamic condition Francesco Cordoni and Luca Di Persio, Optimal control for the stochastic FitzHugh-Nagumo model with recovery variable Tyrone E. Duncan, Some partially observed multi-agent linear exponential quadratic stochastic differential games Abdelkarim Kelleche and Nasser-Eddine Tatar, Existence and stabilization of a Kirchho moving string with a delay in the boundary or in the internal feedback Yangrong Li, Renhai Wang and Lianbing She, Backward controllability of pullback trajectory attractors with applications to multi-valued Jereys-Oldroyd Equations Ahme Ozkan Ozer, Dynamic and electrostatic modeling for a piezoelectric smart composite and related stabilization results Zhousheng Ruan, Sen Zhang and Sican Xiong, Solving an inverse source problem for a time fractional diffusion equation by a modied quasi-boundary value method ------------------------------------------------------- From: Fikret Aliev f_aliev@hotmail.com Date: September 28, 2018 Subject: Contents, TWMS Journal of Pure and Applied Mathematics, 9 (2) TWMS Journal of Pure and Applied Mathematics, Vol. 9, No.2, 2018 ISSN 2076-2585 Volume 9, No. 2, 2018 CONTENTS On and Embedded Uniform Spaces, A.A.Chekeev, B.Z.Rakhmankulov, A.I.Chanbaeva Synthesis of the Quad-Rotor Control Algorithms in the Basic Flight Modes, V.B. Larin, A.A. Tunik Skew Generalized Quasi-Cyclic Codes, T. Abualrub , M.F. Ezerman , P. Seneviratne , P. Sole Some New Quantum Inequalities via Tgs-Convex Functions, M.A. Noor, M.U. Awan, K.I.Noor, F. Safdar Impact of Advertisement on Retailer's Inventory with Non- Instantaneous Deterioration under Price-Sensitive Quadratic Demand, N.H. Shah, U. Chaudhari, M.Y. Jani Normalized Wright Functions with Negative Coefficients and Their Some Integral Transforms, N. Mustafa, O. Altintas Design and Analysis of A Class of Weighted-Newton Methods with Frozen Derivative, J.R. Sharma, D. Kumar A Priori Estimates of Solutions Dirichlet Boundary Value Problems for the Polyharmonic Equations in Generalized Morrey Spaces, T.Gadjiev, S. Aliev, S. Galandarova On Primeness of Non-deterministic Automata Associated with Input Semigroup S, S. Shaheen, .M. Shabir ------------------------------------------------------- End of Digest **************************