Subject: NA Digest, V. 16, # 9 NA Digest Monday, February 29, 2016 Volume 16 : Issue 9 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Lev A. Krukier, 1951 - 2016 IDEAS Project xSDK Documents Open for Comment Call for Nominations, SC'16 Test of Time Award MFEM version 3.1 Release of H2tools, a new tool to work with H2matrices New Book, Lectures on BSDEs, Stochastic Control, ... Courses for PhD Students and Postdocs Modeling Day on OPEN DATA, Germany, Apr 2016 NUMTA2016, Abstract deadline extended, Italy, Jun 2016 EURO 2016, Poland, Jul 2016 Honoring Paul Van Dooren, Belgium, Jul 2016 BAIL 2016, China, Aug 2016 Applied and Numerical Linear Algebra, Germany, Sep 2016 Constructive Approximation and Applications, Italy, Sep 2016 SIAM Central States Section Annual Meeting, USA, Sep 2016 Faculty Positions, Indian Institute of Science (IISc) Postdoc Position, Computational Mathematical Modeling Postdoc Position, Computational Mathematics, UNSW Sydney Postdoc Position, Data Science/High Dimensional Learning Postdoc Position, Dynamism-aware HPC, NTNU Postdoc Position, Melbourne, Australia Postdoc Position, Numerical Analysis, Univ of Oxford Postdoc Position, Statistical Modeling and Optimization, UNESP Postdoc Positions, Uncertainty Quantification, ICES, UT-Austin Postdoc/PhD positions, Parallel Computing for Extreme Scale Systems Postdoc/PhD Positions, HPC, NTNU-Trondheim, Norway Doctorate Research Position, Mathematics, Univ of Vienna PhD Position, Data Science, Simula Reserch Lab, Oslo PhD Position, Univ Jaume I (UJI), Castellon, Spain PhD Positions, Department of Informatics, Univ of Bergen PhD Positions, Math Modelling and Numerical Simulation, Bergen PhD Positions, Numerical Analysis, KTH, Stockholm, Sweden PhD positions, Computational Math, Bergen Contents, Numerical Algorithms, 71 (3) Contents, Siberian Journal of Numerical Mathematics, 19 (1) Contents, Statistics, Optimization & Information Computing (SOIC), 4 (1), 2016 Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html Submissions for NA Digest: http://icl.cs.utk.edu/na-digest/ ------------------------------------------------------- From: Mike Botchev [log in to unmask] Date: February 26, 2016 Subject: Lev A. Krukier, 1951 - 2016 Lev Abramovich Krukier passed away on February 19, 2016 after a long illness. Lev Krukier is known for his work on preconditioned iterative methods for solving linear systems with strongly nonsymmetric matrices. He was a dedicated scientist, a great teacher and a gifted leader. For many years he was a head of the Computer Center of the Russian State University (now the Southern Federal University), and the center flourished under his guidance. Together with Igor Nicolayev, he managed to get a modern parallel supercomputer to Rostov in the 90s. Later he led development of RUNNet (Russian UNiversity Network) in Southern Russia. For many years he and his team organized national and international Numerical Analysis schools for young scientists with renowned instructors from all over the world (among them Gene Golub in 2002, obtaining his Rostov State Honor Professorship). He was very active in establishing and leading Chinese-Russian collaboration on Numerical Algebra and, especially, he was one of the initiators of the series "China-Russia Conference on Numerical Algebra with Applications". Lev will be missed by many his colleagues and former students. He is survived by his wife Irina, two sons and four grandchildren. Galina Muratova (Southern Federal University, Russia) Zhong-Zhi Bai (Institute of Computational Mathematics, Chinese Academy of Sciences) Mike Botchev (University of Twente, the Netherlands) ------------------------------------------------------- From: Lois Curfman McInnes [log in to unmask] Date: February 23, 2016 Subject: IDEAS Project xSDK Documents Open for Comment The DOE-funded IDEAS Scientific Software Developer Productivity project focuses on specific activities intended to enhance developer productivity. One major deliverable for the project is an Extreme-scale Scientific Software Development Kit (xSDK), which is a collection of policies, tools, and interoperability layers on top of widely used libraries. In early 2016, the IDEAS project will release the first version of the xSDK, which will encompass the hypre, PETSc, SuperLU, and Trilinos libraries. Although each of these libraries will continue with their own independent development and distribution efforts, the IDEAS xSDK will provide common configure and build capabilities, the first phase of increased interoperability among the libraries, and explicit policies for expected practices across all libraries. These enhancements should help users work more easily with all of these libraries in combination. In preparation for the first xSDK release, two draft documents (package compliance standards and standard configure/CMake options) are open for community comment. These documents are available from the IDEAS Project website: https://ideas-productivity.org/resources/xsdk-docs/ We welcome comments from the community on these documents, and would especially appreciate input within the next few weeks. For general information about the IDEAS Project, please visit the main webpage: https://ideas-productivity.org ------------------------------------------------------- From: Michael Heroux [log in to unmask] Date: February 26, 2016 Subject: Call for Nominations, SC'16 Test of Time Award The SC'16 Test of Time Award (ToTA) recognizes an SC conference paper from 2006 or earlier for its influence on the supercomputing field. Because of its emphasis on sustained impact, ToTA is one of the most meaningful recognitions a paper can receive. Nominations are open now through April 1st, so please participate in this year's selection process by nominating a paper that you think deserves this recognition. More info: http://sc16.supercomputing.org/submitters/awards/test-of-time-award/ Web Submissions: https://submissions.supercomputing.org/ Email Contact: [log in to unmask] ------------------------------------------------------- From: Tzanio Kolev [log in to unmask] Date: February 26, 2016 Subject: MFEM version 3.1 Version 3.1 of MFEM, a lightweight, general, scalable C++ library for finite element methods, is now available at http://mfem.org The goal of MFEM is to enable research and development of scalable finite element discretization and solver algorithms through general finite element abstractions, accurate and flexible visualization, and tight integration with the hypre linear solvers library. It has many features, including: - 2D and 3D, arbitrary high-order H1, H(curl), H(div), L2 and NURBS elements. - Parallel version scalable to hundreds of thousands of MPI cores. - Conforming or nonconforming adaptive mesh refinement (AMR), including anisotropic refinement. - Galerkin, mixed, isogeometric, DG and DPG discretizations. - Support for triangular, quadrilateral, tetrahedral and hexahedral elements with curved boundaries. - Lightweight interactive OpenGL visualization with GLVis, http://glvis.org. Some of the new additions in version 3.1 are: - Substantially improved non-conforming adaptive mesh refinement, which now works also in parallel. - General finite element spaces and solvers on surfaces and mesh skeletons. - Support for hybridization and static condensation, with a new FEM linear system interface. - New eigensolvers and improved linear solvers and preconditioners. - Visualization of non-conforming meshes and grid functions, and vector fields on surface meshes. - Six new examples codes for parallel AMR, eigenvalue problems and DG diffusion. - Five new electromagnetic and meshing miniapps. MFEM is freely available under LGPL 2.1. For more details, see the interactive documentation at http://mfem.org/examples and the full description at https://raw.githubusercontent.com/mfem/mfem/master/CHANGELOG. ------------------------------------------------------- From: Alexander Mikhalev [log in to unmask] Date: February 24, 2016 Subject: Release of H2tools, a new tool to work with H2matrices H2tools is an open-source software for H2-matrices. Its main feature is an algebraic method of constructing H2-approximation using only matrix entries. This method does not require preliminary approximation by H- matrix, is linear in means of problem size and has lower complexity in terms of memory and operations, than any method of H-approximation. It also uses less matrix entries, than any H-approximation method. H2tools is distributed as Python package and available at https://bitbucket.org/muxas/h2tools with examples, installation guide and link to documentation. ------------------------------------------------------- From: Bruce Bailey [log in to unmask] Date: February 23, 2016 Subject: New Book, Lectures on BSDEs, Stochastic Control, ... Lectures on BSDEs, Stochastic Control, and Stochastic Differential Games with Financial Applications by René Carmona x + 265 pages / Softcover / 978-1-611974-23-2 / List Price $84.00 / SIAM Member Price $58.80 / FM01 The goal of this textbook is to introduce students to the stochastic analysis tools that play an increasing role in the probabilistic approach to optimization problems, including stochastic control and stochastic differential games. While optimal control is taught in many graduate programs in applied mathematics and operations research, the author was intrigued by the lack of coverage of the theory of stochastic differential games. This is the first title in SIAM's Financial Mathematics book series and is based on the author's lecture notes. It will be helpful to students who are interested in stochastic differential equations (forward, backward, forward-backward); the probabilistic approach to stochastic control (dynamic programming and the stochastic maximum principle); and mean field games and control of McKean-Vlasov dynamics. To order or for more about this book, including links to its Table of Contents, Preface and Index, please visit http://bookstore.siam.org/FM01/. ------------------------------------------------------- From: Adam N. Letchford [log in to unmask] Date: February 24, 2016 Subject: Courses for PhD Students and Postdocs In 2016, NATCOR will be running courses on Heuristics, Systems Dynamics, Convex Optimisation and Predictive Analytics. The courses are open to PhD students and post-docs from any country working in a relevant area, such as Operational Research, Statistics, Engineering, Computer Science or Finance. For details, see the following web page: http://www.natcor.ac.uk/courses.asp Our courses are approved by the UK Research Councils and also by EURO (the European Association of Operational Research Societies). ------------------------------------------------------- From: Anja Milde [log in to unmask] Date: February 29, 2016 Subject: Modeling Day on OPEN DATA, Germany, Apr 2016 The HGS MathComp's Follow-Up Modeling Day on "Open Data" takes place on April 15, 2016 at the Mathematikon in Heidelberg, Germany. The whole-day event starts at 9PM and offers a platform for both practitioners and scientists to discuss innovations, determine similarities and differences of applied modeling approaches, as well as maintain mutual exchange of experiences. This workshop aims at contributing to communication between industry and university within the complex issue "Open Data" while at the same time considering ethical and legal aspects of open data. The event will solely be held in German. The event is open to the public, with advance registration requested. Participation is free of charge. For further information, please visit the event's website: http://www.modellierungstag.de/open-data-followup/. ------------------------------------------------------- From: Dmitri Kvasov [log in to unmask] Date: February 24, 2016 Subject: NUMTA2016, Abstract deadline extended, Italy, Jun 2016 Call for papers "Numerical Computations: Theory and Algorithms" The 2nd International Conference and Summer School NUMTA2016 in cooperation with the Society for Industrial and Applied Mathematics (SIAM), USA. 19 - 25 June 2016, Club Med Resort "Napitia", Pizzo Calabro, Italy http://si.dimes.unical.it/~yaro/numta2016 OPENING KEYNOTE LECTURE will be delivered by Professor Robert J. Aumann, 2005 Nobel Prize in Economics, Hebrew University of Jerusalem (Israel). YOUNG RESEARCHER AWARD (500 Euro and the Award certificate) for the best presentation made by a young scientist will be awarded during the conference. PROCEEDINGS will be published as a special volume of the world-renowned The American Institute of Physics (AIP) Conference Proceedings that are currently indexed in such leading databases as Web of Science, Scopus, and Inspec. LOCATION of NUMTA2016 is the Premium All Inclusive Club Med Resort "Napitia" (Pizzo Calabro, Tyrrhenian coast, Italy). The resort is very close to the International Lamezia Terme Airport. IMPORTANT DATES: Submission of one page abstracts: March 1, 2016 (extended deadline) Submission of papers for proceedings: May 10, 2016 Payment of the regular registration fee: March 10, 2016 Hotel reservation with special prices: March 10, 2016 ------------------------------------------------------- From: Hans Mittelmann [log in to unmask] Date: February 22, 2016 Subject: EURO 2016, Poland, Jul 2016 EURO 2016 28th European Conference on Operational Research (EURO XXVIII), Poznan University of Technology, Poznan, Poland, July 3-6, 2016, http://www.euro2016.poznan.pl/ Researchers, academics, practitioners, and students interested in any branch of Operational Research, mathematical modelling or economic analysis are invited to submit abstracts or to organize sessions. Invited and contributed papers will be organized in parallel sessions. In general, sessions will be a part of the Conference streams, and streams are grouped in 25 Main Areas. The list of main areas and streams can be followed at http://www.euro2016.poznan.pl/areas/ and https://www.euro-online.org/conf/euro28/streams. No participant can present more than one paper at the Conference. Abstract submission system is available online, via the Conference web page (http://www.euro2016.poznan.pl/abstract-submission/ or https://www.euro-online.org/conf/euro28/). Abstracts: max. 1500 characters; submission deadline is March 1, 2016. ------------------------------------------------------- From: Pierre-Antoine Absil [log in to unmask] Date: February 26, 2016 Subject: Honoring Paul Van Dooren, Belgium, Jul 2016 On Friday 8th July 2016 (just before the 20th Conference of the International Linear Algebra Society organized in Leuven), a colloquium on Matrix Computations will be held in Louvain-la-Neuve, Belgium, in honor of Paul Van Dooren on becoming Emeritus professor. Confirmed invited speakers: Patrick Dewilde (TU Munich) Joos Vandewalle (KU Leuven) Froilan Dopico (Universidad Carlos III de Madrid) Steve Mackey (Western Michigan University) Kyle Gallivan (Florida State University) For up-to-date information please visit http://sites.uclouvain.be/absil/PVD65/. Registration is free but mandatory through the registration form available from the colloquium web site. Best regards from the organizing committee: Pierre-Antoine Absil, Julien Hendrickx, Karl Meerbergen, Marc Van Barel, Raf Vandebril ------------------------------------------------------- From: Martin Stynes [log in to unmask] Date: February 24, 2016 Subject: BAIL 2016, China, Aug 2016 The BAIL 2016 conference will be held from 15 to 19 August 2016 in Beijing, China, at Beijing Computational Science Research Center and Tsinghua University. The conference website is http://www.csrc.ac.cn/conference/BAIL2016/homepage.html and registration is now open. Note that those participants who register and pay their conference fee by 15 May 2016 will receive substantial financial support towards their accommodation in Beijing. BAIL = Boundary And Interior Layers. The conference should be of interest to researchers working in numerical analysis, asymptotics, applied mathematics or engineering who deal with problems exhibiting layer phenomena. We continue the BAIL tradition of biennial conferences; most recently, BAIL 2014 was held in Prague,Czech Republic. The Proceedings of BAIL 2016 will appear in the Springer series Lecture Notes in Computational Science and Engineering. ------------------------------------------------------- From: Jens-Peter M. Zemke [log in to unmask] Date: February 26, 2016 Subject: Applied and Numerical Linear Algebra, Germany, Sep 2016 16th GAMM Workshop Applied and Numerical Linear Algebra with special emphasis on Linear Algebra Challenges in Machine Learning Hamburg University of Technology September 15-16, 2016, Hamburg. Talks related to regularization of ill-posed problems and all other areas of applied and numerical linear algebra are welcome. The plenary speakers are Bart De Moor, KU Leuven, Belgium; Efstratios Gallopoulos, University of Patras, Greece; Philipp Hennig, Max Planck Institute for Intelligent Systems, Tübingen, Germany. Talks related to Linear Algebra Challenges in Machine Learning and all other areas of applied and numerical linear algebra are welcome. Details of the workshop including on-line registration can be found at https://www.mat.tuhh.de/gamm2016 . As there is only a limited amount of rooms in the hotels nearby, we kindly request that those who plan to visit our workshop make reservations asap. Abstract submission: July 17, 2016 Notification of acceptance: July 24, 2016 ------------------------------------------------------- From: Stefano De Marchi [log in to unmask] Date: February 23, 2016 Subject: Constructive Approximation and Applications, Italy, Sep 2016 4th Dolomites Workshop on Constructive Approximation and Application (DWCAA16) Where: Alba di Canazei (Tn) - ITALY Dates: 8 - 13 September 2016. The workshop is dedicated to Annie Cuyt on the occasion of her 60th birthday. Registration is now open. For any information see the web page http://events.math.unipd.it/dwcaa16/ ------------------------------------------------------- From: Xiaoming He [log in to unmask] Date: February 25, 2016 Subject: SIAM Central States Section Annual Meeting, USA, Sep 2016 We are pleased to announce the call for presentations for the 2nd Annual Meeting of SIAM Central States Section, which will be hosted at the University of Arkansas-Little Rock, September 30-October 2, 2016. Please see the following conference website for more details: http://siamcentral2016.mst.edu/ If you are interested in organizing a mini-symposium, we appreciate it if you can email the organizing committee chair, Xiaoming He, at [log in to unmask], to let us know about your plan. This will help us with the conference organization and estimation for budget. If you are interested in giving a mini-symposium talk but not organizing a mini-symposium, please feel free to email the organizing committee chair, Xiaoming He, at [log in to unmask] We will try our best to find you a suitable mini-symposium, which is organized by other colleagues, for your talk. We also have contributed presentations in both lecture and poster formats for all participants. We are also planning on a special issue of the second annual meeting on a decent journal. If you want to know more information about the SIAM Central States Section and the first annual meeting, please visit the following webpages: http://www.siam.org/sections/central/ http://siamcentral.mst.edu/ ------------------------------------------------------- From: Phaneendra Yalavarthy [log in to unmask] Date: February 25, 2016 Subject: Faculty Positions, Indian Institute of Science (IISc) The Department of Computational and Data Sciences (CDS), Indian Institute of Science, Bangalore, India is inviting applications for full-time tenure track faculty positions at all levels (Assistant Professor, Associate Professor and Professor). The Department of Computational and Data Sciences (CDS) is an interdisciplinary engineering department spanning the research areas of Computational Science and Engineering, and Data Sciences. Computational science deals with computational methods, related mathematics and algorithms, and the design of high performance and scalable systems to support scientific and engineering applications. Data Science explores models, algorithms and scalable systems to extract knowledge and insight from both structured and unstructured data of various scales. CDS invites applications in all areas of computational and data sciences that lie at the intersection of methods, systems and applications, specifically in the following topics. - Computational Mathematics and its Application to Science and Engineering - All areas, especially in emerging areas and in areas that complement the specialization of the current faculty - Data science and its Applications - All areas including analytics, assimilation, visualization, knowledge extraction and representation, statistics at scale, programming models and platforms. - Scalable Systems for Computation and Data Sciences - emerging hardware architectures and software systems CDS welcomes rolling applications, round-the-year, from Indian nationals who are exceptionally motivated, with an established record of independent, high quality research, and a commitment to teaching. The department expects the candidates to have published in top-ranking fora in their areas of expertise. Prospective faculty candidates are invited to email their application packets consisting of their CV, a list of three or more referees, a research statement with prior contributions and future plans, a teaching statement, and three select publications to . Additional information: http://cds.iisc.in/opportunities/faculty/ Department web page: http://cds.iisc.in Institute web page: http://www.iisc.in ------------------------------------------------------- From: Anders Logg [log in to unmask] Date: February 24, 2016 Subject: Postdoc Position, Computational Mathematical Modeling The Department of Mathematical Sciences has an opening for a postdoc position. The project is joint with Chalmers Area Advance the Built Environment and will focus on mathematical modeling, simulation and development digital tools for a range of applications relating to the built environment. We are looking for candidates with good knowledge of analysis, implementation and application of finite element methods, programming in C++ and/or Python, and high-performance computing. Experience of FEniCS programming is also a big plus. For details, see http://www.chalmers.se/en/about-chalmers/vacancies/Pages/default.aspx? rmpage=job&rmjob=3877 ------------------------------------------------------- From: Thanh Tran [log in to unmask] Date: February 29, 2016 Subject: Postdoc Position, Computational Mathematics, UNSW Sydney Applications are invited for a Postdoctoral Fellow to work on an ARC Discovery Project awarded to Chief Investigators Assoc. Prof. Thanh Tran (UNSW Australia) and Prof. Beniamin Goldys (University of Sydney). The project is entitled "Novel approaches for problems with uncertainties". Applicants should have a PhD degree or be very close to completing one. Although an experience in the following areas of mathematics is preferred, candidates with strong qualifications in a relevant field of mathematics are encouraged to apply and will be carefully considered: 1) Numerical partial differential equations 2) Stochastic partial differential equations. The successful applicant will play a leading role within a collaborative research team and, in collaboration with other team members, is expected to publish in leading international journals. The position will be at UNSW, initially for a fixed-term of 1 year, but will likely be extended for a further period subject to availability of funding. The position is available for an immediate start. Additional information and application details can be found at https://applicant.hrm.unsw.edu.au/psp/hrm/NS_CAREERS/HRMS/c/HRS_HRAM.HRS_APP_ SCHJOB.GBL? Page=HRS_APP_JBPST&Action=U&FOCUS=Applicant&SiteId=1&JobOpeningId=55561&Post ingSeq=1 ------------------------------------------------------- From: Valeriya Naumova [log in to unmask] Date: February 26, 2016 Subject: Postdoc Position, Data Science/High Dimensional Learning We are advertising 1 Postdoctoral position for a term of up to three years (2+1) in the Biomedical Computing Department at Simula Research Laboratory, Norway. The position is available within the project 'Function-driven Data Learning in High Dimension' (FunDaHD). Responsibilities: We are seeking a two-year full time postdoctoral fellow at Simula Research Laboratory to work on tractable and robust automatic learning of functions and data structures in high dimensions from the minimal amount of observed information. The successful candidate will perform rigorous theoretical analysis and develop numerical methods for manifold approximation using tools from regularization theory, sparse approximation, and machine learning. These techniques will then be applied to address real-life problems in cardiac modeling. Following a positive evaluation the position can be extended up to three years in total. Your Profile: We consider interested candidates who have concluded their PhD in mathematics or a related discipline (computer science, statistics, signal processing) and a strong background in one or more of the following fields: Sparse recovery methods, functional analysis, approximation theory, probability theory, regularization theory, and familiarity with programming in Matlab, Mathematica or Python. Application Requirements: Candidates are invited to apply, by electronically submitting a motivation letter, curriculum vitae et studiorum, including list of publications, and up to 3 letters of recommendation (one from the PhD supervisor). Note that all attachments MUST be submitted in PDF format. The starting date is at the earliest convenience (negotiable), but indicatively not later than May 1, 2016. Application deadline: April 15, 2016, or until filled. Enquiries regarding the position and the applications should be directed to Dr. Valeriya Naumova ([log in to unmask]) ------------------------------------------------------- From: Magnus Jahre [log in to unmask] Date: February 26, 2016 Subject: Postdoc Position, Dynamism-aware HPC, NTNU We are currently seeking a post doctoral researcher for the "Run-time Exploitation of Application Dynamism for Energy-efficient Exascale Computing (READEX)" EU-project. The objective of the READEX project is to develop a design methodology and tool-suite that enables exploiting dynamic application behaviour in High Performance Computing (HPC) systems for improved energy efficiency. The project will combine current results of system scenario based design from the embedded domain with HPC auto-tuning and platform expertise. The full announcement text is available here: https://www.jobbnorge.no/ledige-stillinger/stilling/122027/postdoctoral-fellow-within- the-run-time-exploitation-of-application-dynamism-for-energy-efficient-exascale- computing-readex-project The application deadline is currently March 3, but it may be possible to negotiate an extension. ------------------------------------------------------- From: Andriy Olenko [log in to unmask] Date: February 22, 2016 Subject: Postdoc Position, Melbourne, Australia There is a fully funded postdoctoral position in statistics/stochastics/applied mathematics at La Trobe University (Melbourne, Australia). A person with a strong statistical/mathematical background, and research experience in advanced data analysis or mathematical/numerical modelling is required to work on the discovery project, 'New Methods in Theory and Cosmic Applications of Spherical Random Fields' funded by the Australian Research Council for the period 2016-2018 (PROJECT ID: DP160101366). Here is a link to complete information: http://careers.pageuppeople.com/533/caw/en/job/550821/research-officer - Pursue innovative research at a high international level - Full-time fixed term contract until 31 December 2018, Bundoora Location (Melbourne) - $59,585 - $80,864 + up to 17% superannuation Closing date: Sunday, 13 March 2016 by 11.00pm AEST. Position Enquiries: Dr Andriy Olenko, [log in to unmask] ------------------------------------------------------- From: Patrick Farrell [log in to unmask] Date: February 29, 2016 Subject: Postdoc Position, Numerical Analysis, Univ of Oxford We invite applications for a Postdoctoral Research Assistant to work with Dr Patrick Farrell at the Mathematical Institute, University of Oxford. This is a 12 month fixed term position and is available from 1st May 2016 (or as soon as possible thereafter). The aim of the project is to develop mesh-independent optimisation techniques for PDE-constrained optimisation problems with inequality constraints. The algorithms developed will be released as open-source software and will be applied to industrial optimisation problems arising in the design of tidal turbine arrays for marine renewable energy. The research will involve adjoints, finite element discretisations, automated code generation and high-performance scientific computing. Applicants should have a PhD awarded, or a Masters degree and PhD submitted (at the time of taking up the position) in mathematics or a related discipline, with research interests in numerical analysis, scientific computing and optimisation. The candidate should be able to demonstrate programming experience (especially in C, C++ or Python) pertaining to the numerical solution of partial differential equations. Experience with finite element methods and high-performance computing is desirable. Please direct informal enquiries to Patrick Farrell ([log in to unmask]). https://www.maths.ox.ac.uk/node/15885 https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec? p_id=122050 ------------------------------------------------------- From: Geraldo Nunes Silva [log in to unmask] Date: February 25, 2016 Subject: Postdoc Position, Statistical Modeling and Optimization, UNESP The Research, Innovation and Dissemination Center for Mathematical Sciences Applied to Industry (CeMEAI), hosted by the University of São Paulo, Brazil, and funded by FAPESP (São Paulo Research Foundation, Brazil), is offering a 2 years Postdoctoral fellowship for candidates with outstanding research potential. The candidate will work at IBILCE/UNESP, Sao Jose do Rio Preto, SP - Brazil. This position is focused on the development of statistical models and statistical tests to combine, evaluate and optimize a diversity of strategies based on signs of different studies and methodology derived from technical analysis. Then a thorough risk analysis and risk management for the resulting new strategies will be addressed and the strategies implemented and tested for automatic trading of investments. Applicants must have received, or expect to complete, a PhD degree within the last 5 years. Selection criteria will include demonstrated research ability in applied mathematics, Statistics, Optimization or related area, strong background in computation, commitment to collaborative research, and excellent verbal and written communication skills. It is also desirable that the candidate has previous experience working in multidisciplinary research group, and has collaborated on research projects with companies or government institutions. The selected candidate will receive FAPESP Post-Doctoral fellowship worth R$ 6143.40 monthly, after tax. To apply please E-mail with message subject: "CEPID Postdoc", up to March 28th, 2016, the following items to Professor Geraldo Silva ([log in to unmask]): 1. A letter of interest, containing full contact information, year graduated and citizenship/immigration status, concisely responding to the research emphases and criteria above; 2. A CV listing educational background, research experience and publications; 3. A cover letter including names and contact information of two professionals who can recommend the candidate (no letters please). ------------------------------------------------------- From: Omar Ghattas [log in to unmask] Date: February 23, 2016 Subject: Postdoc Positions, Uncertainty Quantification, ICES, UT-Austin The Center for Computational Geosciences at the Institute for Computational Engineering and Sciences (ICES, www.ices.utexas.edu), University of Texas at Austin has several openings for postdoctoral fellows to conduct research in the general area of uncertainty quantification for large-scale PDE-based models. Specific areas include Bayesian inverse problems, optimal experimental design, optimization under uncertainty, and parallel algorithms and high performance computing implementations for all of the above. Application areas include polar ice sheet flow and impact on sea level rise, seismology, mantle convection, subsurface flows, and cardiac biomechanics. These positions provide an opportunity to address problems of significant societal and scientific importance in collaboration with multidisciplinary teams of researchers from ICES, the Jackson School of Geosciences, and other universities and national labs. Candidates should have a strong background in scientific computing, numerical analysis, and continuum mechanics. Background in uncertainty quantification, finite elements, inverse problems, scalable solvers, optimization methods, and geophysics is desirable. Experience in large-scale code development in C/C++ is necessary. To apply, please send your CV (listing courses taken and at least three references) to me at [log in to unmask], with cc to Sue Rodriguez at [log in to unmask] The possibility of appointment at a research scientist level is also possible, depending on experience and background. Omar Ghattas, http://www.ices.utexas.edu/~omar ------------------------------------------------------- From: Bo Kågström [log in to unmask] Date: February 24, 2016 Subject: Postdoc/PhD positions, Parallel Computing for Extreme Scale Systems Postdoc&PhD positions in Parallel Computing for Extreme-Scale Systems Department of Computing Science at Umea University, Sweden invites excellent candidates to apply for postdoctoral and PhD positions. The successful candidate(s) will join NLAFET, which is one of the high-profile extreme-scale computing projects funded by the European Commission within the recent FET-HPC call under Horizon 2020. NLAFET is coordinated by Umea University with international partners from INRIA (France), University of Manchester and STFC-RAL (UK). Future extreme-scale supercomputers will be heterogeneous and lead to new and challenging demands for efficient numerical algorithms and parallel software libraries. The aim of NLAFET is to tackle these challenges and ultimately deliver new scalable numerical libraries for fundamental problems in numerical linear algebra, including the solution of dense and sparse systems of equations and eigenvalue problems. Achieving this requires a co-design effort including developing novel algorithms, exploration of advanced scheduling strategies and runtime systems, offline and online autotuning, as well as avoiding communication and synchronization bottlenecks. The positions will focus on design, implementation, and evaluation of parallel algorithms for matrix kernels and eigenvalue problems with regards to the extreme-scale challenges. The research will be done in close collaboration with recognized researchers and PhD students in the research group as well as with other partners in NLAFET. For complete information of the positions see (dead-line for applications is April 4, 2016): Postdoc-English: https://umu.mynetworkglobal.com/en/what:job/jobID:93318/ PhD-English: https://umu.mynetworkglobal.com/en/what:job/jobID:93348/ ------------------------------------------------------- From: Anne C. Elster [log in to unmask] Date: February 28, 2016 Subject: Postdoc/PhD Positions, HPC, NTNU-Trondheim, Norway The application deadline is March 6. Access to high-end High Performance Computing resources are now necessary for a range of applications. However, as these resources become more complex to manage and maintain, HPC as a cloud service becomes more attractive. Current cloud infrastructures are mostly homogenous. The Department (IDI) is part of the EU H2020 CloudLightning project which will investigate how to self-organize and self-manage heterogeneous clouds that may consist of GPUs and MICs accelerators as well as DFEs (Data flow engines). The Post Doc's responsibility will include the following tasks related to the EU project CloudLightning: Help develop self-organized self-managed plugins based on the characteristic of each heterogeneous resource type (GPUs, MICs, DFEs). Provide infrastructure support for the above resource types. This task may include developing libraries for a range of different GPUs and other accelerators for the service implementations to link against. Develop stand-alone open source software implementations of use cases from oil & gas, ray tracing, genomics and matrix computations that can be used by the project. Integrate the above use cases with service descriptions developed in collaborations with our partners. Configure and refine several test beds including GPUs and other accelerators for the project. The candidate will also work on research challenges related to the above topics. For further details, see the following links. Only applications submitted via jobbnorge.no will be reviewed. Post Doc Position: https://www.jobbnorge.no/ledige-stillinger/stilling/122196/postdoctoral-fellowship-in- high-performance-computing-hpc-related-to-the-eu-project-cloudlightning Ph.D. Position: https://www.jobbnorge.no/ledige-stillinger/stilling/122202/phd-fellowship-in-high- performance-computing-hpc ------------------------------------------------------- From: Min Hadler [log in to unmask] Date: February 24, 2016 Subject: Doctorate Research Position, Mathematics, Univ of Vienna The Research Group on Applied Mathematics and Optimization at the Faculty of Mathematics of the University of Vienna, headed by Radu Ioan Boț, has its core research areas in Nonsmooth and Convex Optimization. Currently it offers 1 Doctorate Research Position (3 years) at the Faculty of Mathematics, University of Vienna within the FWF-funded research project Employing Recent Outcomes in Proximal Theory Outside the Comfort Zone. The main scientific target of the project is to employ recent advances concerning some classical techniques used so far mainly for iteratively minimizing convex functions in Hilbert spaces to research fields lying outside their comfort zone. These methods evolve around the notion of proximality, which relies on evaluating a certain regularization of the addressed mathematical object. Due to its reliability, simplicity and accuracy, the proximal theory was successfully employed for solving nondifferentiable convex optimization problems and monotone inclusions with complex structures as well, proving a strong positive impact on the treatment of real-life applications with high-dimensional data. The research themes to be addressed in this project range from the employment of the paradigm of proximality in broader frameworks like considering generalized distances, working in more general underlying spaces and addressing the direct solving of multiobjective optimization problems to the approach of monotone inclusions problems via first- and second-order dynamical systems. The expected results should have impact beyond the corresponding research areas both in mathematical fields like ordinary differential equations, partial differential equations, optimal control, functional analysis, game theory, equilibrium problems and optimal transport theory, and in the solving of real-life problems arising in optimal location selection, image processing, machine learning, quantification of risk, network communication and video processing. The position is available from September 1st, 2016. The salary is as suggested by the FWF according to a doctorate position. The working load for the project is 30 hours per week. The deadline for application is June 30th, 2016. Required Qualifications: The candidates should have a master degree (or equivalent) in Mathematics, a solid theoretical background and strong computer skills. Fluency in the English language has to be proven. Applications (including a letter of motivation, curriculum vitae, the master thesis, peer reviewed research publications, copies of academic certificates and a letter of recommendation) should be sent to: [log in to unmask] More information can be found on http://www.mat.univie.ac.at/~rabot. ------------------------------------------------------- From: Valeriya Naumova [log in to unmask] Date: February 26, 2016 Subject: PhD Position, Data Science, Simula Reserch Lab, Oslo We are advertising 1 Doctoral position for a term of up to 3 years in the Biomedical Computing Department at Simula Research Laboratory, Norway. The position is available within the project 'Function-driven Data Learning in High Dimension' (FunDaHD) under the supervision of Dr. Valeriya Naumova, Simula, and Prof. Dr. Are Magnus Bruaset, Simula, Department of Informatics, University of Oslo, Norway. Responsibilities: We are seeking a 3-year full time PhD student at Simula Research Laboratory to work on tractable and robust automatic learning of data structures in high dimensions from the minimal amount of observed information. The successful candidate will perform rigorous theoretical analysis and develop numerical methods for learning complex manifolds. These techniques will then be applied to address real-life problems in cardiac modeling. Application Requirements: Candidates are invited to apply, by electronically submitting a motivation letter, CV, including a copy of the Master thesis and 2 letters of recommendation (one from the Master thesis supervisor). Note that all attachments MUST be submitted in PDF format. The starting date is at the earliest convenience (negotiable), but indicatively not later than May 1, 2016. Application deadline: April 15, 2016, or until filled. This advertisement will remain online until the position is filled. Enquiries regarding the position and the applications should be directed to Dr. Valeriya Naumova ([log in to unmask]) ------------------------------------------------------- From: Enrique S. Quintana-Orti [log in to unmask] Date: February 24, 2016 Subject: PhD Position, Univ Jaume I (UJI), Castellon, Spain We are looking for a highly motivated candidate to carry out research on fault tolerance and energy efficiency for numerical algorithms within the group of High Performance Computing & Architectures at UJI (http://www.hpca.uji.es). We can offer a 3-year position with a level of funding that matches the cost of living in Castellon-Spain plus additional budget for relocation. URGENT: This position has to be covered by mid of April, 2016. Candidate need to have: - A master's degree or equivalent in Computer Science, Mathematics or Engineering from a NON-SPANISH institution. The degree must have been completed after January 1st, 2013. - Experience in parallel programming and/or scientific computing. - Solid academic record and excellent oral and written communication skills in English. Interested candidates should get in contact with Enrique S. Quintana-Orti, [log in to unmask] ------------------------------------------------------- From: Trond Steihaug [log in to unmask] Date: February 26, 2016 Subject: PhD Positions, Department of Informatics, Univ of Bergen At the University of Bergen (Norway), Department of Informatics two 4-year-position as Research fellow (PhD candidate) in Informatics/Computer Science are available. You must have qualifications to complete a PhD programme within a field of research that is compatible with one of the six research groups of the department. These are: Algorithms, Bioinformatics, Optimization, Programming theory, Computer Security and Visualization. See the Department web page http://www.ii.uib.no for further details. Candidates in their final semester are invited to apply if they plan to complete their final master's exam by 1 August 2016. The successful candidate in Optimization will be expected to cooperate in an interdisciplinary setting and to work in different research areas of mathematical optimization. Applicants should have strong competence in the theoretical background and numerical application of mathematical optimization and should be able to work independently with good collaborative skills. An adequate command of English is expected. Closing date for applications: 1 April 2016 Further information/Apply here: https://www.jobbnorge.no/en/available-jobs/job/122667/research-fellows-phd- candidates-in-informatics-computer-science-2-positions ------------------------------------------------------- From: Talal Rahman [log in to unmask] Date: February 28, 2016 Subject: PhD Positions, Math Modelling and Numerical Simulation, Bergen Applications are invited for PhD research fellowship positions in mathematical modelling and numerical simulation, at the Faculty of Engineering and Business Administration, Bergen University College (HiB), Bergen, Norway. The PhD degrees will be awarded by the University of Bergen. The research position is part of a cross-disciplinary and collaborative research initiative between the department of Computing, Mathematics and Physics (HiB) and the Institute of Marine Research (IMR), Bergen, focusing on mathematical modelling and development of numerical algorithms for simulation in the marine science. The applicants should have strong background in any field of computational and applied mathematics, hold Master degrees in relevant fields with excellent grades, be highly motivated, and have good analytical and communication skills. For information about the positions, and online application, please visit: https://www.jobbnorge.no/en/available-jobs/job/121680/phd-research-fellows-in- mathematical-modelling-and-numerical-simulation Application deadline is 20. march 2016. For more information contact: Talal Rahman ([log in to unmask]), or Sam Subbey ([log in to unmask]) ------------------------------------------------------- From: Patrick Henning [log in to unmask] Date: February 22, 2016 Subject: PhD Positions, Numerical Analysis, KTH, Stockholm, Sweden The Division of Numerical Analysis at the Department of Mathematics, KTH Royal Institute of Technology, announces four PhD positions in numerical analysis. The positions are related to four research projects on "Numerical methods for nonlinear Schrödinger equations", "Multiscale numerical methods", "Numerical linear algebra for nonlinear eigenvalue problems" and "Numerical methods for boundary integral problems". The application deadline is April 1th 2016. For additional information on required qualifications and on how and where to apply we refer to the following link https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:90779/where:4/ For further questions concerning the application or the corresponding projects, please contact Patrick Henning ([log in to unmask]), Olof Runborg ([log in to unmask]), Elias Jarlebring ([log in to unmask]) or Richard Tsai ([log in to unmask]) respectively. ------------------------------------------------------- From: Talal Rahman [log in to unmask] Date: February 28, 2016 Subject: PhD positions, Computational Math, Bergen Applications are invited for PhD research fellowship positions in computational mathematics, at the Faculty of Engineering and Business Administration, Bergen University College (HiB), Bergen, Norway. The PhD degrees will be awarded by the University of Bergen. The primary focus of the research will be the development of advanced techniques for the numerical solution of partial differential equations with applications to problems in engineering. Other closely related topics can also be considered. The applicants should have strong background in any field of computational and applied mathematics, hold Master degrees in relevant fields with excellent grades, be highly motivated, and have good analytical and communication skills. For information about the positions in the computational mathematics project, please visit: https://www.jobbnorge.no/en/available-jobs/job/122438/phd-research-fellowship- positions-in-computational-mathematics Application deadline is 30. march 2016. For more information contact: Jon Eivind Vatne ([log in to unmask]), or Talal Rahman ([log in to unmask]) ------------------------------------------------------- From: Claude Brezinski [log in to unmask] Date: February 29, 2016 Subject: Contents, Numerical Algorithms, 71 (3) Table of contents for Numerical Algorithms, Volume 71, Issue 3. An improved full-Newton step O(n) infeasible interior-point method for horizontal linear complementarity problem, Behrouz Kheirfam On the optimal robust solution of IVPs with noisy information, Boleslaw Kacewicz, Pawel Przybylowicz An inertial forward-backward-forward primal-dual splitting algorithm for solving monotone inclusion problems, Radu Ioan Boţ, Erno Robert Csetnek A modified large-scale structure-preserving doubling algorithm for a large-scale Riccati equation from transport theory, Pei-Chang Guo Asymptotic behaviour of Jain operators, Ulrich Abel, Octavian Agratini Semilocal convergence of multi-point improved super-Halley-type methods without the second derivative under generalized weak condition, Xiuhua Wang, Jisheng Kou Highly effective stable evaluation of bandlimited functions on the sphere, Kamen G. Ivanov, Pencho P. Petrushev Improvements on the infinity norm bound for the inverse of Nekrasov matrices, Chaoqian Li, Hui Pei, Aning Gao, Yaotang Li A parameterized multi-step Newton method for solving systems of nonlinear equations, Fayyaz Ahmad, Emran Tohidi, Juan A. Carrasco On SSOR iteration method for a class of block two-by-two linear systems, Zhao-Zheng Liang, Guo-Feng Zhang Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators, Folkert Bleichrodt, Tristan van Leeuwen, Willem Jan Palenstijn, Wim van Aarle, Jan Sijbers, K. Joost Batenburg Zeros of para-orthogonal polynomials and linear spectral transformations on the unit circle, K. Castillo, F. Marcellan, M. N. Rebocho ------------------------------------------------------- From: SibJNM [log in to unmask] Date: February 29, 2016 Subject: Contents, Siberian Journal of Numerical Mathematics, 19 (1) CONTENTS, Siberian Journal of Numerical Mathematics Volume 19, No. 1, 2016 For information to contributors and about subscriptions see http://www.sscc.ru/SibJNM/ On the anniversary of Anatoly Konovalov On the 90th anniversary of Gury Marchuk Aleksandrov V.M., A singular solution to the problem of minimizing resource consumption Ambos A.Yu., Numerical models of mosaic homogeneous isotropic random fields and problems of radiative transfer Artemiev S.S., Yakunin M.A., Analysis of the accuracy of estimates of the first moments of solving SDE with Wiener and Poisson components by Monte Carlo method Blatov I.A., Kitaeva E.V., Convergence of the adapting grid method of Bakhvalov's type for singularly perturbed boundary value problems Vabishchevich P.N., Grigoriev A.V., Numerical modeling of a fluid flow in anisotropic fractured porous media Novikov I.S., Krukier L.A., Krukier B.L., Huang Yu-Mei. The skew-symmetric iterative method for solving the convection-- diffusion--reaction equation with the alternating-sign reaction coefficient Singh P., Kadalbajoo M.K., Sharma K., Probability density function of leaky integrate-and-fire model with L\'{e}vy noise and its numerical approximation Tanana V.P., Vishnyakov E.Y., Sidikova A.I., About an approximate solution to the Fredholm integral equation of the first kind by the residual method Shreifel I.S., Eliseev I.N., Theoretical basis of the iterative process of the joint assessment of difficulties in tasks and levels of training students ------------------------------------------------------- From: David G. Yu [log in to unmask] Date: February 28, 2016 Subject: Contents, Statistics, Optimization & Information Computing (SOIC), 4 (1), 2016 Statistics, Optimization & Information Computing Vol 4, No 1 (2016) Table of Contents http://www.iapress.org/index.php/soic/issue/current Vartan Ohanes Choulakian, Matrix Factorizations based on induced norms. Ram Verma, G. Zalmai, Generalized Second-Order Parametric Optimality Conditions in Semiinfinite Discrete Minmax Fractional Programming and Second-Order Univexity. S.Battal Gazi Karakoç, Halil Zeybek, A cubic B-spline Galerkin approach for the numerical simulation of the GEW equation. Wassim Al-Khawand, Seifedine Kadry, Riccardo Bozzo, Khaled Smaili, Accurate, Fast and Noiseless Image Binarization. Liquan Kang, Ying Chen, Zefeng Yu, Heng Wu, Zijun Zheng, Shanzhou Niu, A Splitting-based Iterative Method for Sparse Reconstruction. Mikhail Moklyachuk, Maksym Luz, Filtering Problem for Functionals of Stationary Sequences. Chunming Tang, Huangyue Chen, Jinbao Jian, An improved partial bundle method for linearly constrained minimax problems. ------------------------------------------------------- End of Digest **************************