Subject: NA Digest, V. 16, # 09

<br /><br />NA Digest  Monday, February 29, 2016  Volume 16 : Issue 09

<br /><br />Today's Editor:

<br /><br /> &nbsp; Daniel M. Dunlavy
<br /> &nbsp; Sandia National Labs
<br /> &nbsp; <a href='mailto:dmdunla@sandia.gov'>dmdunla@sandia.gov</a>

<br /><br />Today's Topics:

<br /><br />Lev A. Krukier, 1951 - 2016
<br />IDEAS Project xSDK Documents Open for Comment
<br />Call for Nominations, SC'16 Test of Time Award
<br />MFEM version 3.1
<br />Release of H2tools, a new tool to work with H2matrices
<br />New Book, Lectures on BSDEs, Stochastic Control, ...
<br />Courses for PhD Students and Postdocs
<br />Modeling Day on OPEN DATA, Germany, Apr 2016
<br />NUMTA2016, Abstract deadline extended, Italy, Jun 2016
<br />EURO 2016, Poland, Jul 2016
<br />Honoring Paul Van Dooren, Belgium, Jul 2016
<br />BAIL 2016, China, Aug 2016
<br />Applied and Numerical Linear Algebra, Germany, Sep 2016
<br />Constructive Approximation and Applications, Italy, Sep 2016
<br />SIAM Central States Section Annual Meeting, USA, Sep 2016
<br />Faculty Positions, Indian Institute of Science (IISc)
<br />Postdoc Position, Computational Mathematical Modeling
<br />Postdoc Position, Computational Mathematics, UNSW Sydney
<br />Postdoc Position, Data Science/High Dimensional Learning
<br />Postdoc Position, Dynamism-aware HPC, NTNU
<br />Postdoc Position, Melbourne, Australia
<br />Postdoc Position, Numerical Analysis, Univ of Oxford
<br />Postdoc Position, Statistical Modeling and Optimization, UNESP
<br />Postdoc Positions, Uncertainty Quantification, ICES, UT-Austin
<br />Postdoc/PhD positions, Parallel Computing for Extreme Scale Systems
<br />Postdoc/PhD Positions, HPC, NTNU-Trondheim, Norway
<br />Doctorate Research Position, Mathematics, Univ of Vienna
<br />PhD Position, Data Science, Simula Reserch Lab, Oslo
<br />PhD Position, Univ Jaume I (UJI), Castellon, Spain
<br />PhD Positions, Department of Informatics, Univ of Bergen
<br />PhD Positions, Math Modelling and Numerical Simulation, Bergen
<br />PhD Positions, Numerical Analysis, KTH, Stockholm, Sweden
<br />PhD positions, Computational Math, Bergen
<br />Contents, Numerical Algorithms, 71 (3)
<br />Contents, Siberian Journal of Numerical Mathematics, 19 (1)
<br />Contents, Statistics, Optimization & Information Computing (SOIC), 4 (1), 2016
<br />
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<br /><br />Submissions for NA Digest:
<br /> &nbsp; http://icl.cs.utk.edu/na-digest/

<br /><br />-------------------------------------------------------

<br /><br />From: Mike Botchev <a href="malito:botchev@ya.ru">botchev@ya.ru</a>
<br />Date: February 26, 2016
<br />Subject: Lev A. Krukier, 1951 - 2016

<br /><br />Lev Abramovich Krukier passed away on February 19, 2016 after a long
<br />illness. Lev Krukier is known for his work on preconditioned iterative
<br />methods for solving linear systems with strongly nonsymmetric
<br />matrices. He was a dedicated scientist, a great teacher and a gifted
<br />leader. For many years he was a head of the Computer Center of the
<br />Russian State University (now the Southern Federal University), and
<br />the center flourished under his guidance.  Together with Igor
<br />Nicolayev, he managed to get a modern parallel supercomputer to Rostov
<br />in the 90s. Later he led development of RUNNet (Russian UNiversity
<br />Network) in Southern Russia. For many years he and his team organized
<br />national and international Numerical Analysis schools for young
<br />scientists with renowned instructors from all over the world (among
<br />them Gene Golub in 2002, obtaining his Rostov State Honor
<br />Professorship). He was very active in establishing and leading
<br />Chinese-Russian collaboration on Numerical Algebra and, especially, he
<br />was one of the initiators of the series "China-Russia Conference on
<br />Numerical Algebra with Applications". Lev will be missed by many his
<br />colleagues and former students. He is survived by his wife Irina, two
<br />sons and four grandchildren.
<br />
<br />Galina Muratova (Southern Federal University, Russia)
<br />Zhong-Zhi Bai (Institute of Computational Mathematics, Chinese
<br />Academy of Sciences)
<br />Mike Botchev (University of Twente, the Netherlands)
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Lois Curfman McInnes <a href="malito:curfman@mcs.anl.gov">curfman@mcs.anl.gov</a>
<br />Date: February 23, 2016
<br />Subject: IDEAS Project xSDK Documents Open for Comment

<br /><br />The DOE-funded IDEAS Scientific Software Developer Productivity
<br />project focuses on specific activities intended to enhance developer
<br />productivity.  One major deliverable for the project is an
<br />Extreme-scale Scientific Software Development Kit (xSDK), which is a
<br />collection of policies, tools, and interoperability layers on top of
<br />widely used libraries.  In early 2016, the IDEAS project will release
<br />the first version of the xSDK, which will encompass the hypre, PETSc,
<br />SuperLU, and Trilinos libraries.
<br />
<br />Although each of these libraries will continue with their own
<br />independent development and distribution efforts, the IDEAS xSDK will
<br />provide common configure and build capabilities, the first phase of
<br />increased interoperability among the libraries, and explicit policies
<br />for expected practices across all libraries.  These enhancements
<br />should help users work more easily with all of these libraries in
<br />combination.
<br />
<br />In preparation for the first xSDK release, two draft documents
<br />(package compliance standards and standard configure/CMake options)
<br />are open for community comment.  These documents are available from
<br />the IDEAS
<br />
<br />Project website: https://ideas-productivity.org/resources/xsdk-docs/
<br />
<br />We welcome comments from the community on these documents, and would
<br />especially appreciate input within the next few weeks.
<br />
<br />For general information about the IDEAS Project, please visit the main
<br />webpage: https://ideas-productivity.org
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Michael Heroux <a href="malito:maherou@sandia.gov">maherou@sandia.gov</a>
<br />Date: February 26, 2016
<br />Subject: Call for Nominations, SC'16 Test of Time Award

<br /><br />The SC'16 Test of Time Award (ToTA) recognizes an SC conference paper
<br />from 2006 or earlier for its influence on the supercomputing field.
<br />Because of its emphasis on sustained impact, ToTA is one of the most
<br />meaningful recognitions a paper can receive. Nominations are open now
<br />through April 1st, so please participate in this year's selection
<br />process by nominating a paper that you think deserves this
<br />recognition.
<br />
<br />More info: http://sc16.supercomputing.org/submitters/awards/test-of-time-award/
<br />Web Submissions: https://submissions.supercomputing.org/
<br />Email Contact: tota@info.supercomputing.org
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Tzanio Kolev <a href="malito:tzanio@llnl.gov">tzanio@llnl.gov</a>
<br />Date: February 26, 2016
<br />Subject: MFEM version 3.1

<br /><br />Version 3.1 of MFEM, a lightweight, general, scalable C++ library for
<br />finite element methods, is now available at http://mfem.org
<br />
<br />The goal of MFEM is to enable research and development of scalable
<br />finite element discretization and solver algorithms through general
<br />finite element abstractions, accurate and flexible visualization, and
<br />tight integration with the hypre linear solvers library. It has many
<br />features, including:
<br />- 2D and 3D, arbitrary high-order H1, H(curl), H(div), L2 and NURBS
<br />  elements.
<br />- Parallel version scalable to hundreds of thousands of MPI cores.
<br />- Conforming or nonconforming adaptive mesh refinement (AMR),
<br />  including anisotropic refinement.
<br />- Galerkin, mixed, isogeometric, DG and DPG discretizations.
<br />- Support for triangular, quadrilateral, tetrahedral and hexahedral
<br />  elements with curved boundaries.
<br />- Lightweight interactive OpenGL visualization with GLVis,
<br />  http://glvis.org.
<br />Some of the new additions in version 3.1 are:
<br />- Substantially improved non-conforming adaptive mesh refinement,
<br />  which now works also in parallel.
<br />- General finite element spaces and solvers on surfaces and mesh
<br />  skeletons.
<br />- Support for hybridization and static condensation, with a new
<br />  FEM  linear system interface.
<br />- New eigensolvers and improved linear solvers and preconditioners.
<br />- Visualization of non-conforming meshes and grid functions, and
<br />  vector fields on surface meshes.
<br />- Six new examples codes for parallel AMR, eigenvalue problems and
<br />  DG diffusion.
<br />- Five new electromagnetic and meshing miniapps.
<br />
<br />MFEM is freely available under LGPL 2.1.
<br />
<br />For more details, see the interactive documentation at
<br />http://mfem.org/examples and the full description at
<br />https://raw.githubusercontent.com/mfem/mfem/master/CHANGELOG.
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Alexander Mikhalev <a href="malito:muxasizhevsk@gmail.com">muxasizhevsk@gmail.com</a>
<br />Date: February 24, 2016
<br />Subject: Release of H2tools, a new tool to work with H2matrices

<br /><br />H2tools is an open-source software for H2-matrices. Its main feature
<br />is an algebraic method of constructing H2-approximation using only
<br />matrix entries. This method does not require preliminary approximation
<br />by H- matrix, is linear in means of problem size and has lower
<br />complexity in terms of memory and operations, than any method of
<br />H-approximation. It also uses less matrix entries, than any
<br />H-approximation method.
<br />
<br />H2tools is distributed as Python package and available at
<br />https://bitbucket.org/muxas/h2tools with examples, installation guide
<br />and link to documentation.
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Bruce Bailey <a href="malito:bailey@siam.org">bailey@siam.org</a>
<br />Date: February 23, 2016
<br />Subject: New Book, Lectures on BSDEs, Stochastic Control, ...

<br /><br />Lectures on BSDEs, Stochastic Control, and Stochastic Differential
<br />Games with Financial Applications by René Carmona
<br />
<br />x + 265 pages / Softcover / 978-1-611974-23-2 / List Price $84.00 /
<br />SIAM Member Price $58.80 / FM01
<br />
<br />The goal of this textbook is to introduce students to the stochastic
<br />analysis tools that play an increasing role in the probabilistic
<br />approach to optimization problems, including stochastic control and
<br />stochastic differential games. While optimal control is taught in many
<br />graduate programs in applied mathematics and operations research, the
<br />author was intrigued by the lack of coverage of the theory of
<br />stochastic differential games.
<br />
<br />This is the first title in SIAM's Financial Mathematics book series
<br />and is based on the author's lecture notes. It will be helpful to
<br />students who are interested in stochastic differential equations
<br />(forward, backward, forward-backward); the probabilistic approach to
<br />stochastic control (dynamic programming and the stochastic maximum
<br />principle); and mean field games and control of McKean-Vlasov
<br />dynamics.
<br />
<br />To order or for more about this book, including links to its Table of
<br />Contents, Preface and Index, please visit
<br />http://bookstore.siam.org/FM01/.
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Adam N. Letchford <a href="malito:a.n.letchford@lancaster.ac.uk">a.n.letchford@lancaster.ac.uk</a>
<br />Date: February 24, 2016
<br />Subject: Courses for PhD Students and Postdocs

<br /><br />In 2016, NATCOR will be running courses on Heuristics, Systems
<br />Dynamics, Convex Optimisation and Predictive Analytics. The courses
<br />are open to PhD students and post-docs from any country working in a
<br />relevant area, such as Operational Research, Statistics, Engineering,
<br />Computer Science or Finance. For details, see the following web page:
<br />
<br />http://www.natcor.ac.uk/courses.asp
<br />
<br />Our courses are approved by the UK Research Councils and also by EURO
<br />(the European Association of Operational Research Societies).
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Anja Milde <a href="malito:anja.milde@iwr.uni-heidelberg.de">anja.milde@iwr.uni-heidelberg.de</a>
<br />Date: February 29, 2016
<br />Subject: Modeling Day on OPEN DATA, Germany, Apr 2016

<br /><br />The HGS MathComp's Follow-Up Modeling Day on "Open Data" takes place
<br />on April 15, 2016 at the Mathematikon in Heidelberg, Germany.
<br />
<br />The whole-day event starts at 9PM and offers a platform for both
<br />practitioners and scientists to discuss innovations, determine
<br />similarities and differences of applied modeling approaches, as well
<br />as maintain mutual exchange of experiences.
<br />
<br />This workshop aims at contributing to communication between industry
<br />and university within the complex issue "Open Data" while at the same
<br />time considering ethical and legal aspects of open data.
<br />
<br />The event will solely be held in German.
<br />
<br />The event is open to the public, with advance registration
<br />requested. Participation is free of charge.
<br />
<br />For further information, please visit the event's website:
<br />http://www.modellierungstag.de/open-data-followup/.
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Dmitri Kvasov <a href="malito:kvadim@dimes.unical.it">kvadim@dimes.unical.it</a>
<br />Date: February 24, 2016
<br />Subject: NUMTA2016, Abstract deadline extended, Italy, Jun 2016

<br /><br />Call for papers "Numerical Computations: Theory and Algorithms" The
<br />2nd International Conference and Summer School NUMTA2016 in
<br />cooperation with the Society for Industrial and Applied Mathematics
<br />(SIAM), USA.  19 - 25 June 2016, Club Med Resort "Napitia", Pizzo
<br />Calabro, Italy
<br />
<br />http://si.dimes.unical.it/~yaro/numta2016
<br />
<br />OPENING KEYNOTE LECTURE will be delivered by Professor Robert
<br />J. Aumann, 2005 Nobel Prize in Economics, Hebrew University of
<br />Jerusalem (Israel).
<br />
<br />YOUNG RESEARCHER AWARD (500 Euro and the Award certificate) for the
<br />best presentation made by a young scientist will be awarded during the
<br />conference.
<br />
<br />PROCEEDINGS will be published as a special volume of the
<br />world-renowned The American Institute of Physics (AIP) Conference
<br />Proceedings that are currently indexed in such leading databases as
<br />Web of Science, Scopus, and Inspec.
<br />
<br />LOCATION of NUMTA2016 is the Premium All Inclusive Club Med Resort
<br />"Napitia" (Pizzo Calabro, Tyrrhenian coast, Italy).  The resort is
<br />very close to the International Lamezia Terme Airport.
<br />
<br />IMPORTANT DATES:
<br />Submission of one page abstracts: March 1, 2016 (extended deadline)
<br />Submission of papers for proceedings: May 10, 2016
<br />Payment of the regular registration fee: March 10, 2016
<br />Hotel reservation with special prices: March 10, 2016

<br /><br />-------------------------------------------------------

<br /><br />From: Hans Mittelmann <a href="malito:mittelmann@asu.edu">mittelmann@asu.edu</a>
<br />Date: February 22, 2016
<br />Subject: EURO 2016, Poland, Jul 2016

<br /><br />EURO 2016
<br />28th European Conference on Operational Research (EURO XXVIII),
<br />Poznan University of Technology, Poznan, Poland, July 3-6, 2016,
<br />http://www.euro2016.poznan.pl/
<br />
<br />Researchers, academics, practitioners, and students interested in any
<br />branch of Operational Research, mathematical modelling or economic
<br />analysis are invited to submit abstracts or to organize sessions.
<br />
<br />Invited and contributed papers will be organized in parallel sessions.
<br />In general, sessions will be a part of the Conference streams, and
<br />streams are grouped in 25 Main Areas. The list of main areas and
<br />streams can be followed at http://www.euro2016.poznan.pl/areas/ and
<br />https://www.euro-online.org/conf/euro28/streams.
<br />
<br />No participant can present more than one paper at the Conference.
<br />
<br />Abstract submission system is available online, via the Conference web
<br />page (http://www.euro2016.poznan.pl/abstract-submission/ or
<br />https://www.euro-online.org/conf/euro28/).
<br />
<br />Abstracts: max. 1500 characters; submission deadline is March 1, 2016.
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Pierre-Antoine Absil <a href="malito:absil@inma.ucl.ac.be">absil@inma.ucl.ac.be</a>
<br />Date: February 26, 2016
<br />Subject: Honoring Paul Van Dooren, Belgium, Jul 2016

<br /><br />On Friday 8th July 2016 (just before the 20th Conference of the
<br />International Linear Algebra Society organized in Leuven), a
<br />colloquium on Matrix Computations will be held in Louvain-la-Neuve,
<br />Belgium, in honor of Paul Van Dooren on becoming Emeritus professor.
<br />
<br />Confirmed invited speakers:
<br />Patrick Dewilde (TU Munich)
<br />Joos Vandewalle (KU Leuven)
<br />Froilan Dopico (Universidad Carlos III de Madrid)
<br />Steve Mackey (Western Michigan University)
<br />Kyle Gallivan (Florida State University)
<br />
<br />For up-to-date information please visit
<br />http://sites.uclouvain.be/absil/PVD65/.  Registration is free but
<br />mandatory through the registration form available from the colloquium
<br />web site.
<br />
<br />Best regards from the organizing committee: Pierre-Antoine Absil,
<br />Julien Hendrickx, Karl Meerbergen, Marc Van Barel, Raf Vandebril
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Martin Stynes <a href="malito:m.stynes@csrc.ac.cn">m.stynes@csrc.ac.cn</a>
<br />Date: February 24, 2016
<br />Subject: BAIL 2016, China, Aug 2016

<br /><br />The BAIL 2016 conference will be held from 15 to 19 August 2016 in
<br />Beijing, China, at Beijing Computational Science Research Center and
<br />Tsinghua University. The conference website is
<br />http://www.csrc.ac.cn/conference/BAIL2016/homepage.html
<br />and registration is now open.
<br />
<br />Note that those participants who register and pay their conference fee
<br />by 15 May 2016 will receive substantial financial support towards
<br />their accommodation in Beijing.
<br />
<br />BAIL = Boundary And Interior Layers. The conference should be of
<br />interest to researchers working in numerical analysis, asymptotics,
<br />applied mathematics or engineering who deal with problems exhibiting
<br />layer phenomena. We continue the BAIL tradition of biennial
<br />conferences; most recently, BAIL 2014 was held in Prague,Czech
<br />Republic.
<br />
<br />The Proceedings of BAIL 2016 will appear in the Springer series
<br />Lecture Notes in Computational Science and Engineering.
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Jens-Peter M. Zemke <a href="malito:zemke@tu-harburg.de">zemke@tu-harburg.de</a>
<br />Date: February 26, 2016
<br />Subject: Applied and Numerical Linear Algebra, Germany, Sep 2016

<br /><br />16th GAMM Workshop Applied and Numerical Linear Algebra with special
<br />emphasis on Linear Algebra Challenges in Machine Learning
<br />
<br />Hamburg University of Technology
<br />September 15-16, 2016, Hamburg.
<br />
<br />Talks related to regularization of ill-posed problems and all other
<br />areas of applied and numerical linear algebra are welcome.
<br />
<br />The plenary speakers are Bart De Moor, KU Leuven, Belgium; Efstratios
<br />Gallopoulos, University of Patras, Greece; Philipp Hennig, Max Planck
<br />Institute for Intelligent Systems, Tübingen, Germany.
<br />
<br />Talks related to Linear Algebra Challenges in Machine Learning and all
<br />other areas of applied and numerical linear algebra are welcome.
<br />
<br />Details of the workshop including on-line registration can be found at
<br />https://www.mat.tuhh.de/gamm2016 .
<br />
<br />As there is only a limited amount of rooms in the hotels nearby, we
<br />kindly request that those who plan to visit our workshop make
<br />reservations asap.
<br />
<br />Abstract submission: July 17, 2016
<br />Notification of acceptance: July 24, 2016
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Stefano De Marchi <a href="malito:demarchi@math.unipd.it">demarchi@math.unipd.it</a>
<br />Date: February 23, 2016
<br />Subject: Constructive Approximation and Applications, Italy, Sep 2016

<br /><br />4th Dolomites Workshop on Constructive Approximation and Application
<br />(DWCAA16)
<br />
<br />Where: Alba di Canazei (Tn) - ITALY
<br />Dates:  8 - 13 September 2016.
<br />
<br />The workshop is dedicated to Annie Cuyt on the occasion of her 60th
<br />birthday.
<br />
<br />Registration is now open.
<br />
<br />For any information see the web page
<br />http://events.math.unipd.it/dwcaa16/
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Xiaoming He <a href="malito:hex@mst.edu">hex@mst.edu</a>
<br />Date: February 25, 2016
<br />Subject: SIAM Central States Section Annual Meeting, USA, Sep 2016

<br /><br />We are pleased to announce the call for presentations for the 2nd
<br />Annual Meeting of SIAM Central States Section, which will be hosted at
<br />the University of Arkansas-Little Rock, September 30-October 2,
<br />2016. Please see the following conference website for more details:
<br />
<br />http://siamcentral2016.mst.edu/
<br />
<br />If you are interested in organizing a mini-symposium, we appreciate it
<br />if you can email the organizing committee chair, Xiaoming He, at
<br />hex@mst.edu, to let us know about your plan. This will help us with
<br />the conference organization and estimation for budget.
<br />
<br />If you are interested in giving a mini-symposium talk but not
<br />organizing a mini-symposium, please feel free to email the organizing
<br />committee chair, Xiaoming He, at hex@mst.edu. We will try our best to
<br />find you a suitable mini-symposium, which is organized by other
<br />colleagues, for your talk.
<br />
<br />We also have contributed presentations in both lecture and poster
<br />formats for all participants. We are also planning on a special issue
<br />of the second annual meeting on a decent journal.
<br />
<br />If you want to know more information about the SIAM Central States
<br />Section and the first annual meeting, please visit the following
<br />webpages:
<br />
<br />http://www.siam.org/sections/central/
<br />http://siamcentral.mst.edu/
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Phaneendra Yalavarthy <a href="malito:phani@cds.iisc.ac.in">phani@cds.iisc.ac.in</a>
<br />Date: February 25, 2016
<br />Subject: Faculty Positions, Indian Institute of Science (IISc)

<br /><br />The Department of Computational and Data Sciences (CDS), Indian
<br />Institute of Science, Bangalore, India is inviting applications for
<br />full-time tenure track faculty positions at all levels (Assistant
<br />Professor, Associate Professor and Professor).  The Department of
<br />Computational and Data Sciences (CDS) is an interdisciplinary
<br />engineering department spanning the research areas of Computational
<br />Science and Engineering, and Data Sciences.  Computational science
<br />deals with computational methods, related mathematics and algorithms,
<br />and the design of high performance and scalable systems to support
<br />scientific and engineering applications.  Data Science explores
<br />models, algorithms and scalable systems to extract knowledge and
<br />insight from both structured and unstructured data of various
<br />scales. CDS invites applications in all areas of computational and
<br />data sciences that lie at the intersection of methods, systems and
<br />applications, specifically in the following topics.
<br />
<br />- Computational Mathematics and its Application to Science and
<br />  Engineering - All areas, especially in emerging areas and in areas
<br />  that complement the specialization of the current faculty
<br />- Data science and its Applications - All areas including analytics,
<br />  assimilation, visualization, knowledge extraction and
<br />  representation, statistics at scale, programming models and
<br />  platforms.
<br />- Scalable Systems for Computation and Data Sciences - emerging
<br />  hardware architectures and software systems
<br />
<br />CDS welcomes rolling applications, round-the-year, from
<br />Indian nationals who are exceptionally motivated, with an established
<br />record of independent, high quality research, and a commitment to
<br />teaching.  The department expects the candidates to have published in
<br />top-ranking fora in their areas of expertise. Prospective faculty
<br />candidates are invited to email their application packets consisting
<br />of their CV, a list of three or more referees, a research statement
<br />with prior contributions and future plans, a teaching statement, and
<br />three select publications to .
<br />
<br />Additional information: http://cds.iisc.in/opportunities/faculty/
<br />Department web page: http://cds.iisc.in
<br />Institute web page: http://www.iisc.in

<br /><br />-------------------------------------------------------

<br /><br />From: Anders Logg <a href="malito:logg@chalmers.se">logg@chalmers.se</a>
<br />Date: February 24, 2016
<br />Subject: Postdoc Position, Computational Mathematical Modeling

<br /><br />The Department of Mathematical Sciences has an opening for a postdoc
<br />position.
<br />
<br />The project is joint with Chalmers Area Advance the Built Environment
<br />and will focus on mathematical modeling, simulation and development
<br />digital tools for a range of applications relating to the built
<br />environment.
<br />
<br />We are looking for candidates with good knowledge of analysis,
<br />implementation and application of finite element methods, programming
<br />in C++ and/or Python, and high-performance computing. Experience of
<br />FEniCS programming is also a big plus.
<br />
<br />For details, see
<br />http://www.chalmers.se/en/about-chalmers/vacancies/Pages/default.aspx?
<br />rmpage=job&rmjob=3877
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Thanh Tran <a href="malito:thanh.tran@unsw.edu.au">thanh.tran@unsw.edu.au</a>
<br />Date: February 29, 2016
<br />Subject: Postdoc Position, Computational Mathematics, UNSW Sydney

<br /><br />Applications are invited for a Postdoctoral Fellow to work on an ARC
<br />Discovery Project awarded to Chief Investigators Assoc. Prof.  Thanh
<br />Tran (UNSW Australia) and Prof. Beniamin Goldys (University of
<br />Sydney). The project is entitled "Novel approaches for problems with
<br />uncertainties".
<br />
<br />Applicants should have a PhD degree or be very close to completing
<br />one. Although an experience in the following areas of mathematics is
<br />preferred, candidates with strong qualifications in a relevant field
<br />of mathematics are encouraged to apply and will be carefully
<br />considered: 1) Numerical partial differential equations 2) Stochastic
<br />partial differential equations.
<br />
<br />The successful applicant will play a leading role within a
<br />collaborative research team and, in collaboration with other team
<br />members, is expected to publish in leading international journals.
<br />
<br />The position will be at UNSW, initially for a fixed-term of 1 year,
<br />but will likely be extended for a further period subject to
<br />availability of funding. The position is available for an immediate
<br />start.
<br />
<br />Additional information and application details can be found at
<br />https://applicant.hrm.unsw.edu.au/psp/hrm/NS_CAREERS/HRMS/c/HRS_HRAM.HRS_APP_
<br />SCHJOB.GBL?
<br />Page=HRS_APP_JBPST&Action=U&FOCUS=Applicant&SiteId=1&JobOpeningId=55561&Post
<br />ingSeq=1
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Valeriya Naumova <a href="malito:valeriya@simula.no">valeriya@simula.no</a>
<br />Date: February 26, 2016
<br />Subject: Postdoc Position, Data Science/High Dimensional Learning

<br /><br />We are advertising 1 Postdoctoral position for a term of up to three
<br />years (2+1) in the Biomedical Computing Department at Simula Research
<br />Laboratory, Norway. The position is available within the project
<br />'Function-driven Data Learning in High Dimension' (FunDaHD).
<br />
<br />Responsibilities: We are seeking a two-year full time postdoctoral
<br />fellow at Simula Research Laboratory to work on tractable and robust
<br />automatic learning of functions and data structures in high dimensions
<br />from the minimal amount of observed information. The successful
<br />candidate will perform rigorous theoretical analysis and develop
<br />numerical methods for manifold approximation using tools from
<br />regularization theory, sparse approximation, and machine
<br />learning. These techniques will then be applied to address real-life
<br />problems in cardiac modeling. Following a positive evaluation the
<br />position can be extended up to three years in total.
<br />
<br />Your Profile: We consider interested candidates who have concluded
<br />their PhD in mathematics or a related discipline (computer science,
<br />statistics, signal processing) and a strong background in one or more
<br />of the following fields: Sparse recovery methods, functional analysis,
<br />approximation theory, probability theory, regularization theory, and
<br />familiarity with programming in Matlab, Mathematica or Python.
<br />
<br />Application Requirements: Candidates are invited to apply, by
<br />electronically submitting a motivation letter, curriculum vitae et
<br />studiorum, including list of publications, and up to 3 letters of
<br />recommendation (one from the PhD supervisor). Note that all
<br />attachments MUST be submitted in PDF format.
<br />
<br />The starting date is at the earliest convenience (negotiable), but
<br />indicatively not later than May 1, 2016. Application deadline: April
<br />15, 2016, or until filled.
<br />
<br />Enquiries regarding the position and the applications should be
<br />directed to Dr. Valeriya Naumova (Valeriya@simula.no)
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Magnus Jahre <a href="malito:magnus.jahre@idi.ntnu.no">magnus.jahre@idi.ntnu.no</a>
<br />Date: February 26, 2016
<br />Subject: Postdoc Position, Dynamism-aware HPC, NTNU

<br /><br />We are currently seeking a post doctoral researcher for the "Run-time
<br />Exploitation of Application Dynamism for Energy-efficient Exascale
<br />Computing (READEX)" EU-project. The objective of the READEX project is
<br />to develop a design methodology and tool-suite that enables exploiting
<br />dynamic application behaviour in High Performance Computing (HPC)
<br />systems for improved energy efficiency. The project will combine
<br />current results of system scenario based design from the embedded
<br />domain with HPC auto-tuning and platform expertise.
<br />
<br />The full announcement text is available here:
<br />https://www.jobbnorge.no/ledige-stillinger/stilling/122027/postdoctoral-fellow-within-
<br />the-run-time-exploitation-of-application-dynamism-for-energy-efficient-exascale-
<br />computing-readex-project
<br />
<br />The application deadline is currently March 3, but it may be possible
<br />to negotiate an extension.
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Andriy Olenko <a href="malito:a.olenko@latrobe.edu.au">a.olenko@latrobe.edu.au</a>
<br />Date: February 22, 2016
<br />Subject: Postdoc Position, Melbourne, Australia

<br /><br />There is a fully funded postdoctoral position in
<br />statistics/stochastics/applied mathematics at La Trobe University
<br />(Melbourne, Australia).
<br />
<br />A person with a strong statistical/mathematical background, and
<br />research experience in advanced data analysis or
<br />mathematical/numerical modelling is required to work on the discovery
<br />project, 'New Methods in Theory and Cosmic Applications of Spherical
<br />Random Fields' funded by the Australian Research Council for the
<br />period 2016-2018 (PROJECT ID: DP160101366).
<br />
<br />Here is a link to complete information:
<br />http://careers.pageuppeople.com/533/caw/en/job/550821/research-officer
<br />
<br />- Pursue innovative research at a high international level
<br />- Full-time fixed term contract until 31 December 2018, Bundoora
<br />  Location (Melbourne)
<br />- $59,585 - $80,864 + up to 17% superannuation
<br />
<br />Closing date: Sunday, 13 March 2016 by 11.00pm AEST.
<br />
<br />Position Enquiries: Dr Andriy Olenko, a.olenko@latrobe.edu.au
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Patrick Farrell <a href="malito:patrick.farrell@maths.ox.ac.uk">patrick.farrell@maths.ox.ac.uk</a>
<br />Date: February 29, 2016
<br />Subject: Postdoc Position, Numerical Analysis, Univ of Oxford

<br /><br />We invite applications for a Postdoctoral Research Assistant to work
<br />with Dr Patrick Farrell at the Mathematical Institute, University of
<br />Oxford. This is a 12 month fixed term position and is available from
<br />1st May 2016 (or as soon as possible thereafter).
<br />
<br />The aim of the project is to develop mesh-independent optimisation
<br />techniques for PDE-constrained optimisation problems with inequality
<br />constraints. The algorithms developed will be released as open-source
<br />software and will be applied to industrial optimisation problems
<br />arising in the design of tidal turbine arrays for marine renewable
<br />energy.  The research will involve adjoints, finite element
<br />discretisations, automated code generation and high-performance
<br />scientific computing.
<br />
<br />Applicants should have a PhD awarded, or a Masters degree and PhD
<br />submitted (at the time of taking up the position) in mathematics or a
<br />related discipline, with research interests in numerical analysis,
<br />scientific computing and optimisation. The candidate should be able to
<br />demonstrate programming experience (especially in C, C++ or Python)
<br />pertaining to the numerical solution of partial differential
<br />equations. Experience with finite element methods and high-performance
<br />computing is desirable. 
<br />
<br />Please direct informal enquiries to Patrick Farrell
<br />(patrick.farrell@maths.ox.ac.uk).
<br />
<br />https://www.maths.ox.ac.uk/node/15885
<br />https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?
<br />p_id=122050

<br /><br />-------------------------------------------------------

<br /><br />From: Geraldo Nunes Silva <a href="malito:gnsilva03@gmail.com">gnsilva03@gmail.com</a>
<br />Date: February 25, 2016
<br />Subject: Postdoc Position, Statistical Modeling and Optimization, UNESP

<br /><br />The Research, Innovation and Dissemination Center for Mathematical
<br />Sciences Applied to Industry (CeMEAI), hosted by the University of São
<br />Paulo, Brazil, and funded by FAPESP (São Paulo Research Foundation,
<br />Brazil), is offering a 2 years Postdoctoral fellowship for candidates
<br />with outstanding research potential.  The candidate will work at
<br />IBILCE/UNESP, Sao Jose do Rio Preto, SP - Brazil. This position is
<br />focused on the development of statistical models and statistical tests
<br />to combine, evaluate and optimize a diversity of strategies based on
<br />signs of different studies and methodology derived from technical
<br />analysis. Then a thorough risk analysis and risk management for the
<br />resulting new strategies will be addressed and the strategies
<br />implemented and tested for automatic trading of investments.
<br />Applicants must have received, or expect to complete, a PhD degree
<br />within the last 5 years. Selection criteria will include demonstrated
<br />research ability in applied mathematics, Statistics, Optimization or
<br />related area, strong background in computation, commitment to
<br />collaborative research, and excellent verbal and written communication
<br />skills.  It is also desirable that the candidate has previous
<br />experience working in multidisciplinary research group, and has
<br />collaborated on research projects with companies or government
<br />institutions.  The selected candidate will receive FAPESP
<br />Post-Doctoral fellowship worth R$ 6143.40 monthly, after tax. To apply
<br />please E-mail with message subject: "CEPID Postdoc", up to March 28th,
<br />2016, the following items to Professor Geraldo Silva
<br />(vice-diretor@ibilce.unesp.br): 1. A letter of interest, containing
<br />full contact information, year graduated and citizenship/immigration
<br />status, concisely responding to the research emphases and criteria
<br />above; 2. A CV listing educational background, research experience and
<br />publications; 3. A cover letter including names and contact
<br />information of two professionals who can recommend the candidate (no
<br />letters please).
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Omar Ghattas <a href="malito:omar@ices.utexas.edu">omar@ices.utexas.edu</a>
<br />Date: February 23, 2016
<br />Subject: Postdoc Positions, Uncertainty Quantification, ICES, UT-Austin

<br /><br />The Center for Computational Geosciences at the Institute for
<br />Computational Engineering and Sciences (ICES, www.ices.utexas.edu),
<br />University of Texas at Austin has several openings for postdoctoral
<br />fellows to conduct research in the general area of uncertainty
<br />quantification for large-scale PDE-based models. Specific areas
<br />include Bayesian inverse problems, optimal experimental design,
<br />optimization under uncertainty, and parallel algorithms and high
<br />performance computing implementations for all of the
<br />above. Application areas include polar ice sheet flow and impact on
<br />sea level rise, seismology, mantle convection, subsurface flows, and
<br />cardiac biomechanics.
<br />
<br />These positions provide an opportunity to address problems of
<br />significant societal and scientific importance in collaboration with
<br />multidisciplinary teams of researchers from ICES, the Jackson School
<br />of Geosciences, and other universities and national labs. Candidates
<br />should have a strong background in scientific computing, numerical
<br />analysis, and continuum mechanics. Background in uncertainty
<br />quantification, finite elements, inverse problems, scalable solvers,
<br />optimization methods, and geophysics is desirable. Experience in
<br />large-scale code development in C/C++ is necessary. To apply, please
<br />send your CV (listing courses taken and at least three references) to
<br />me at omar@ices.utexas.edu, with cc to Sue Rodriguez at
<br />suerod@ices.utexas.edu. The possibility of appointment at a research
<br />scientist level is also possible, depending on experience and
<br />background.
<br />
<br />Omar Ghattas, http://www.ices.utexas.edu/~omar
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Bo Kågström <a href="malito:bokg@cs.umu.se">bokg@cs.umu.se</a>
<br />Date: February 24, 2016
<br />Subject: Postdoc/PhD positions, Parallel Computing for Extreme Scale Systems

<br /><br />Postdoc&PhD positions in Parallel Computing for Extreme-Scale Systems
<br />Department of Computing Science at Umea University, Sweden invites
<br />excellent candidates to apply for postdoctoral and PhD positions.  The
<br />successful candidate(s) will join NLAFET, which is one of the
<br />high-profile extreme-scale computing projects funded by the European
<br />Commission within the recent FET-HPC call under Horizon 2020. NLAFET
<br />is coordinated by Umea University with international partners from
<br />INRIA (France), University of Manchester and STFC-RAL (UK).
<br />
<br />Future extreme-scale supercomputers will be heterogeneous and lead to
<br />new and challenging demands for efficient numerical algorithms and
<br />parallel software libraries. The aim of NLAFET is to tackle these
<br />challenges and ultimately deliver new scalable numerical libraries for
<br />fundamental problems in numerical linear algebra, including the
<br />solution of dense and sparse systems of equations and eigenvalue
<br />problems. Achieving this requires a co-design effort including
<br />developing novel algorithms, exploration of advanced scheduling
<br />strategies and runtime systems, offline and online autotuning, as well
<br />as avoiding communication and synchronization bottlenecks.
<br />
<br />The positions will focus on design, implementation, and evaluation of
<br />parallel algorithms for matrix kernels and eigenvalue problems with
<br />regards to the extreme-scale challenges. The research will be done in
<br />close collaboration with recognized researchers and PhD students in
<br />the research group as well as with other partners in NLAFET.
<br />
<br />For complete information of the positions see (dead-line for
<br />applications is April 4, 2016):
<br />Postdoc-English:
<br />https://umu.mynetworkglobal.com/en/what:job/jobID:93318/
<br />PhD-English:
<br />https://umu.mynetworkglobal.com/en/what:job/jobID:93348/
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Anne C. Elster <a href="malito:elster@ntnu.no">elster@ntnu.no</a>
<br />Date: February 28, 2016
<br />Subject: Postdoc/PhD Positions, HPC, NTNU-Trondheim, Norway

<br /><br />The application deadline is March 6.
<br />
<br />Access to high-end High Performance Computing resources are now
<br />necessary for a range of applications. However, as these resources
<br />become more complex to manage and maintain, HPC as a cloud service
<br />becomes more attractive. Current cloud infrastructures are mostly
<br />homogenous. The Department (IDI) is part of the EU H2020
<br />CloudLightning project which will investigate how to self-organize and
<br />self-manage heterogeneous clouds that may consist of GPUs and MICs
<br />accelerators as well as DFEs (Data flow engines).
<br />
<br />The Post Doc's responsibility will include the following tasks related
<br />to the EU project CloudLightning: Help develop self-organized
<br />self-managed plugins based on the characteristic of each heterogeneous
<br />resource type (GPUs, MICs, DFEs).  Provide infrastructure support for
<br />the above resource types. This task may include developing libraries
<br />for a range of different GPUs and other accelerators for the service
<br />implementations to link against.  Develop stand-alone open source
<br />software implementations of use cases from oil & gas, ray tracing,
<br />genomics and matrix computations that can be used by the project.
<br />Integrate the above use cases with service descriptions developed in
<br />collaborations with our partners.  Configure and refine several test
<br />beds including GPUs and other accelerators for the project.  The
<br />candidate will also work on research challenges related to the above
<br />topics. For further details, see the following links. Only
<br />applications submitted via jobbnorge.no will be reviewed.
<br />
<br />Post Doc Position:
<br />https://www.jobbnorge.no/ledige-stillinger/stilling/122196/postdoctoral-fellowship-in-
<br />high-performance-computing-hpc-related-to-the-eu-project-cloudlightning
<br />
<br />Ph.D. Position:
<br />https://www.jobbnorge.no/ledige-stillinger/stilling/122202/phd-fellowship-in-high-
<br />performance-computing-hpc
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Min Hadler <a href="malito:min.hadler@univie.ac.at">min.hadler@univie.ac.at</a>
<br />Date: February 24, 2016
<br />Subject: Doctorate Research Position, Mathematics, Univ of Vienna

<br /><br />The Research Group on Applied Mathematics and Optimization at the
<br />Faculty of Mathematics of the University of Vienna, headed by Radu
<br />Ioan Boț, has its core research areas in Nonsmooth and Convex
<br />Optimization. Currently it offers 1 Doctorate Research Position (3
<br />years) at the Faculty of Mathematics, University of Vienna within the
<br />FWF-funded research project Employing Recent Outcomes in Proximal
<br />Theory Outside the Comfort Zone.
<br />
<br />The main scientific target of the project is to employ recent advances
<br />concerning some classical techniques used so far mainly for
<br />iteratively minimizing convex functions in Hilbert spaces to research
<br />fields lying outside their comfort zone. These methods evolve around
<br />the notion of proximality, which relies on evaluating a certain
<br />regularization of the addressed mathematical object. Due to its
<br />reliability, simplicity and accuracy, the proximal theory was
<br />successfully employed for solving nondifferentiable convex
<br />optimization problems and monotone inclusions with complex structures
<br />as well, proving a strong positive impact on the treatment of
<br />real-life applications with high-dimensional data.  The research
<br />themes to be addressed in this project range from the employment of
<br />the paradigm of proximality in broader frameworks like considering
<br />generalized distances, working in more general underlying spaces and
<br />addressing the direct solving of multiobjective optimization problems
<br />to the approach of monotone inclusions problems via first- and
<br />second-order dynamical systems.  The expected results should have
<br />impact beyond the corresponding research areas both in mathematical
<br />fields like ordinary differential equations, partial differential
<br />equations, optimal control, functional analysis, game theory,
<br />equilibrium problems and optimal transport theory, and in the solving
<br />of real-life problems arising in optimal location selection, image
<br />processing, machine learning, quantification of risk, network
<br />communication and video processing.
<br />
<br />The position is available from September 1st, 2016. The salary is as
<br />suggested by the FWF according to a doctorate position. The working
<br />load for the project is 30 hours per week. The deadline for
<br />application is June 30th, 2016.
<br />
<br />Required Qualifications: The candidates should have a master degree
<br />(or equivalent) in Mathematics, a solid theoretical background and
<br />strong computer skills. Fluency in the English language has to be
<br />proven.  Applications (including a letter of motivation, curriculum
<br />vitae, the master thesis, peer reviewed research publications, copies
<br />of academic certificates and a letter of recommendation) should be
<br />sent to: min.hadler@univie.ac.at. More information can be found on
<br />http://www.mat.univie.ac.at/~rabot.
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Valeriya Naumova <a href="malito:valeriya@simula.no">valeriya@simula.no</a>
<br />Date: February 26, 2016
<br />Subject: PhD Position, Data Science, Simula Reserch Lab, Oslo

<br /><br />We are advertising 1 Doctoral position for a term of up to 3 years in
<br />the Biomedical Computing Department at Simula Research Laboratory,
<br />Norway. The position is available within the project 'Function-driven
<br />Data Learning in High Dimension' (FunDaHD) under the supervision of
<br />Dr. Valeriya Naumova, Simula, and Prof. Dr. Are Magnus Bruaset,
<br />Simula, Department of Informatics, University of Oslo, Norway.
<br />
<br />Responsibilities: We are seeking a 3-year full time PhD student at
<br />Simula Research Laboratory to work on tractable and robust automatic
<br />learning of data structures in high dimensions from the minimal amount
<br />of observed information. The successful candidate will perform
<br />rigorous theoretical analysis and develop numerical methods for
<br />learning complex manifolds. These techniques will then be applied to
<br />address real-life problems in cardiac modeling.
<br />
<br />Application Requirements: Candidates are invited to apply, by
<br />electronically submitting a motivation letter, CV, including a copy of
<br />the Master thesis and 2 letters of recommendation (one from the Master
<br />thesis supervisor). Note that all attachments MUST be submitted in PDF
<br />format.
<br />
<br />The starting date is at the earliest convenience (negotiable), but
<br />indicatively not later than May 1, 2016. Application deadline: April
<br />15, 2016, or until filled. This advertisement will remain online until
<br />the position is filled.
<br />
<br />Enquiries regarding the position and the applications should be
<br />directed to Dr. Valeriya Naumova (Valeriya@simula.no)
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Enrique S. Quintana-Orti <a href="malito:quintana@icc.uji.es">quintana@icc.uji.es</a>
<br />Date: February 24, 2016
<br />Subject: PhD Position, Univ Jaume I (UJI), Castellon, Spain

<br /><br />We are looking for a highly motivated candidate to carry out research
<br />on fault tolerance and energy efficiency for numerical algorithms
<br />within the group of High Performance Computing & Architectures at UJI
<br />(http://www.hpca.uji.es).
<br />
<br />We can offer a 3-year position with a level of funding that matches
<br />the cost of living in Castellon-Spain plus additional budget for
<br />relocation.
<br />
<br />URGENT: This position has to be covered by mid of April, 2016.
<br />
<br />Candidate need to have:
<br />
<br />- A master's degree or equivalent in Computer Science, Mathematics or
<br />  Engineering from a NON-SPANISH institution. The degree must have
<br />  been completed after January 1st, 2013.
<br />- Experience in parallel programming and/or scientific computing.
<br />- Solid academic record and excellent oral and written communication
<br />  skills in English.
<br />
<br />Interested candidates should get in contact with
<br />Enrique S. Quintana-Orti, quintana@uji.es
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Trond Steihaug <a href="malito:trond.steihaug@ii.uib.no">trond.steihaug@ii.uib.no</a>
<br />Date: February 26, 2016
<br />Subject: PhD Positions, Department of Informatics, Univ of Bergen

<br /><br />At the University of Bergen (Norway), Department of Informatics two
<br />4-year-position as
<br />
<br />Research fellow (PhD candidate) in Informatics/Computer Science
<br />
<br />are available. You must have qualifications to complete a PhD
<br />programme within a field of research that is compatible with one of
<br />the six research groups of the department. These are: Algorithms,
<br />Bioinformatics, Optimization, Programming theory, Computer Security
<br />and Visualization. See the Department web page http://www.ii.uib.no
<br />for further details.
<br />
<br />Candidates in their final semester are invited to apply if they plan
<br />to complete their final master's exam by 1 August 2016.
<br />
<br />The successful candidate in Optimization will be expected to cooperate
<br />in an interdisciplinary setting and to work in different research
<br />areas of mathematical optimization. Applicants should have strong
<br />competence in the theoretical background and numerical application of
<br />mathematical optimization and should be able to work independently
<br />with good collaborative skills. An adequate command of English is
<br />expected.
<br />
<br />Closing date for applications: 1 April 2016
<br />Further information/Apply here:
<br />https://www.jobbnorge.no/en/available-jobs/job/122667/research-fellows-phd-
<br />candidates-in-informatics-computer-science-2-positions
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Talal Rahman <a href="malito:Talal.Rahman@hib.no">Talal.Rahman@hib.no</a>
<br />Date: February 28, 2016
<br />Subject: PhD Positions, Math Modelling and Numerical Simulation, Bergen

<br /><br />Applications are invited for PhD research fellowship positions in
<br />mathematical modelling and numerical simulation, at the Faculty of
<br />Engineering and Business Administration, Bergen University College
<br />(HiB), Bergen, Norway.
<br />
<br />The PhD degrees will be awarded by the University of Bergen.
<br />
<br />The research position is part of a cross-disciplinary and
<br />collaborative research initiative between the department of Computing,
<br />Mathematics and Physics (HiB) and the Institute of Marine Research
<br />(IMR), Bergen, focusing on mathematical modelling and development of
<br />numerical algorithms for simulation in the marine science.
<br />
<br />The applicants should have strong background in any field of
<br />computational and applied mathematics, hold Master degrees in relevant
<br />fields with excellent grades, be highly motivated, and have good
<br />analytical and communication skills.
<br />
<br />For information about the positions, and online application, please
<br />visit:
<br />https://www.jobbnorge.no/en/available-jobs/job/121680/phd-research-fellows-in-
<br />mathematical-modelling-and-numerical-simulation
<br />
<br />Application deadline is 20. march 2016.
<br />
<br />For more information contact: Talal Rahman (talal.rahman@hib.no), or
<br />Sam Subbey (samuels@imr.no)
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Patrick Henning <a href="malito:pathe@kth.se">pathe@kth.se</a>
<br />Date: February 22, 2016
<br />Subject: PhD Positions, Numerical Analysis, KTH, Stockholm, Sweden

<br /><br />The Division of Numerical Analysis at the Department of Mathematics,
<br />KTH Royal Institute of Technology, announces four PhD positions in
<br />numerical analysis. The positions are related to four research
<br />projects on "Numerical methods for nonlinear Schrödinger equations",
<br />"Multiscale numerical methods", "Numerical linear algebra for
<br />nonlinear eigenvalue problems" and "Numerical methods for boundary
<br />integral problems". The application deadline is April 1th 2016.
<br />
<br />For additional information on required qualifications and on how and
<br />where to apply we refer to the following link
<br />https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:90779/where:4/
<br />
<br />For further questions concerning the application or the corresponding
<br />projects, please contact Patrick Henning (pathe@kth.se), Olof Runborg
<br />(olofr@kth.se), Elias Jarlebring (eliasj@kth.se) or Richard Tsai
<br />(tsai@kth.se) respectively.
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Talal Rahman <a href="malito:Talal.Rahman@hib.no">Talal.Rahman@hib.no</a>
<br />Date: February 28, 2016
<br />Subject: PhD positions, Computational Math, Bergen

<br /><br />Applications are invited for PhD research fellowship positions in
<br />computational mathematics, at the Faculty of Engineering and Business
<br />Administration, Bergen University College (HiB), Bergen, Norway.
<br />
<br />The PhD degrees will be awarded by the University of Bergen.
<br />
<br />The primary focus of the research will be the development of advanced
<br />techniques for the numerical solution of partial differential
<br />equations with applications to problems in engineering. Other closely
<br />related topics can also be considered.
<br />
<br />The applicants should have strong background in any field of
<br />computational and applied mathematics, hold Master degrees in relevant
<br />fields with excellent grades, be highly motivated, and have good
<br />analytical and communication skills.
<br />
<br />For information about the positions in the computational mathematics
<br />project, please visit:
<br />https://www.jobbnorge.no/en/available-jobs/job/122438/phd-research-fellowship-
<br />positions-in-computational-mathematics
<br />
<br />Application deadline is 30. march 2016.
<br />
<br />For more information contact: Jon Eivind Vatne
<br />(jon.eivind.vatne@hib.no), or Talal Rahman (talal.rahman@hib.no)
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Claude Brezinski <a href="malito:claude.brezinski@univ-lille1.fr">claude.brezinski@univ-lille1.fr</a>
<br />Date: February 29, 2016
<br />Subject: Contents, Numerical Algorithms, 71 (3)

<br /><br />Table of contents for Numerical Algorithms, Volume 71, Issue 3.
<br />
<br />An improved full-Newton step O(n) infeasible interior-point method for
<br />horizontal linear complementarity problem, Behrouz Kheirfam
<br />
<br />On the optimal robust solution of IVPs with noisy information,
<br />Boleslaw Kacewicz, Pawel Przybylowicz
<br />
<br />An inertial forward-backward-forward primal-dual splitting algorithm
<br />for solving monotone inclusion problems, Radu Ioan Boţ, Erno Robert
<br />Csetnek
<br />
<br />A modified large-scale structure-preserving doubling algorithm for a
<br />large-scale Riccati equation from transport theory, Pei-Chang Guo
<br />
<br />Asymptotic behaviour of Jain operators, Ulrich Abel, Octavian Agratini
<br />
<br />Semilocal convergence of multi-point improved super-Halley-type
<br />methods without the second derivative under generalized weak
<br />condition, Xiuhua Wang, Jisheng Kou
<br />
<br />Highly effective stable evaluation of bandlimited functions on the
<br />sphere, Kamen G. Ivanov, Pencho P. Petrushev
<br />
<br />Improvements on the infinity norm bound for the inverse of Nekrasov
<br />matrices, Chaoqian Li, Hui Pei, Aning Gao, Yaotang Li
<br />
<br />A parameterized multi-step Newton method for solving systems of
<br />nonlinear equations, Fayyaz Ahmad, Emran Tohidi, Juan A. Carrasco
<br />
<br />On SSOR iteration method for a class of block two-by-two linear
<br />systems, Zhao-Zheng Liang, Guo-Feng Zhang
<br />
<br />Easy implementation of advanced tomography algorithms using the ASTRA
<br />toolbox with Spot operators, Folkert Bleichrodt, Tristan van Leeuwen,
<br />Willem Jan Palenstijn, Wim van Aarle, Jan Sijbers, K. Joost Batenburg
<br />
<br />Zeros of para-orthogonal polynomials and linear spectral
<br />transformations on the unit circle, K. Castillo, F. Marcellan,
<br />M. N. Rebocho
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: SibJNM <a href="malito:sibjnm@sscc.ru">sibjnm@sscc.ru</a>
<br />Date: February 29, 2016
<br />Subject: Contents, Siberian Journal of Numerical Mathematics, 19 (1)

<br /><br />CONTENTS, Siberian Journal of Numerical Mathematics
<br />Volume 19, No. 1, 2016
<br />
<br />For information to contributors and about subscriptions
<br />see http://www.sscc.ru/SibJNM/
<br />
<br />On the anniversary of Anatoly Konovalov
<br />
<br />On the 90th anniversary of Gury Marchuk
<br />
<br />Aleksandrov V.M., A singular solution to the problem of minimizing
<br />resource consumption
<br />
<br />Ambos A.Yu., Numerical models of mosaic homogeneous isotropic random
<br />fields and problems of radiative transfer
<br />
<br />Artemiev S.S., Yakunin M.A., Analysis of the accuracy of estimates of
<br />the first moments of solving SDE with Wiener and Poisson components by
<br />Monte Carlo method
<br />
<br />Blatov I.A., Kitaeva E.V., Convergence of the adapting grid method of
<br />Bakhvalov's type for singularly perturbed boundary value problems
<br />
<br />Vabishchevich P.N., Grigoriev A.V., Numerical modeling of a fluid flow
<br />in anisotropic fractured porous media
<br />
<br />Novikov I.S., Krukier L.A., Krukier B.L., Huang Yu-Mei.  The
<br />skew-symmetric iterative method for solving the convection--
<br />diffusion--reaction equation with the alternating-sign reaction
<br />coefficient
<br />
<br />Singh P., Kadalbajoo M.K., Sharma K., Probability density function of
<br />leaky integrate-and-fire model with L\'{e}vy noise and its numerical
<br />approximation
<br />
<br />Tanana V.P., Vishnyakov E.Y., Sidikova A.I., About an approximate
<br />solution to the Fredholm integral equation of the first kind by the
<br />residual method
<br />
<br />Shreifel I.S., Eliseev I.N., Theoretical basis of the iterative
<br />process of the joint assessment of difficulties in tasks and levels of
<br />training students
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: David G. Yu <a href="malito:david.iapress@gmail.com">david.iapress@gmail.com</a>
<br />Date: February 28, 2016
<br />Subject: Contents, Statistics, Optimization & Information Computing (SOIC), 4 (1), 2016

<br /><br />Statistics, Optimization & Information Computing
<br />Vol 4, No 1 (2016)
<br />
<br />Table of Contents
<br />http://www.iapress.org/index.php/soic/issue/current
<br />
<br />Vartan Ohanes Choulakian, Matrix Factorizations based on induced
<br />norms.
<br />
<br />Ram Verma, G. Zalmai, Generalized Second-Order Parametric Optimality
<br />Conditions in Semiinfinite Discrete Minmax Fractional Programming and
<br />Second-Order Univexity.
<br />
<br />S.Battal Gazi Karakoç, Halil Zeybek, A cubic B-spline Galerkin
<br />approach for the numerical simulation of the GEW equation.
<br />
<br />Wassim Al-Khawand, Seifedine Kadry, Riccardo Bozzo, Khaled Smaili,
<br />Accurate, Fast and Noiseless Image Binarization.
<br />
<br />Liquan Kang, Ying Chen, Zefeng Yu, Heng Wu, Zijun Zheng, Shanzhou Niu,
<br />A Splitting-based Iterative Method for Sparse Reconstruction.
<br />
<br />Mikhail Moklyachuk, Maksym Luz, Filtering Problem for Functionals of
<br />Stationary Sequences.
<br />
<br />Chunming Tang, Huangyue Chen, Jinbao Jian, An improved partial bundle
<br />method for linearly constrained minimax problems.
<br />

<br /><br />-------------------------------------------------------
<br />End of Digest
<br />**************************
<br />
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