- Today's Editor:
- Daniel M. Dunlavy
- Sandia National Labs
- dmdunla@sandia.gov

- Bath/RAL Numerical Analysis Day, UK, Jan 2013
- Workshop on Problems with Layer Phenomena, Cyprus, May 2013
- Deadline extended: PCO'13, USA, May 2013
- Contributed Minisymposia, ILAS Annual Meeting, USA, Jun 2013
- Graduate Student Modeling Workshop, USA, Jul 2013
- Computational Scientist Position, Stone Ridge Technology
- Faculty Positions, School of CSE, Georgia Tech
- Postdoc Positions, NIST
- PhD Position, Sochastic Climate Models, Imperial College London
- Summer Intern Positions, Computer Science Research Institute
- Contents, East Asian Journal on Applied Mathematics, 2(4)
- Subscribe, unsubscribe, change address, or for na-digest archives:
- http://www.netlib.org/na-digest-html/faq.html

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From: as <as@maths.bath.ac.uk>

Date: Sat, 5 Jan 2013 10:05:23 +0000 (GMT)

**Subject: Bath/RAL Numerical Analysis Day, UK, Jan 2013**

The 11th Bath/RAL Numerical Analysis Day will be held at Bath

University (10.15am start in 4W 1.7) on 28th January.

Speakers will be:

Doug Arnold (Minnesota)

Phil Browne (Reading)

Jonathan Hogg (RAL)

Tony Shardlow (Bath)

Tyrone Rees (RAL)

Kevin Burrage (Oxford)

For more details see

http://people.bath.ac.uk/masas/naday_28jan2013.html

All welcome - there is no attendance fee. Please email

a.spence@bath.ac.uk if any questions.

-------------------------------------------------------

From: Christos Xenophontos <xenophontos@ucy.ac.cy>

Date: Mon, 7 Jan 2013 03:28:26 -0500

**Subject: Workshop on Problems with Layer Phenomena, Cyprus, May 2013**

10th Annual Workshop on Numerical Methods for Problems with Layer

Phenomena

Thursday, 23rd - Friday, 24th May 2013, Larnaca, Cyprus

http://www2.ucy.ac.cy/~xenophon/workshop/

REGISTRATION DEADLINE: April 20th, 2013

A two day workshop is being organised by the Department of Mathematics

and Statistics, University of Cyprus and it will take place at the

Palm Beach Hotel, Larnaca, Cyprus. The aim of the workshop is to bring

together people, in the mathematics and general scientific community,

who have particular interests in the development and applications of

numerical methods for problems that exhibit layer phenomena, such as

boundary/interior layers in fluid flow and other applications.

-------------------------------------------------------

From: "Didier El Baz" <elbaz@laas.fr>

Date: Sat, 05 Jan 2013 19:21:05 +0100

**Subject: Deadline extended: PCO'13, USA, May 2013**

Final Call for Papers Workshop PCO'13

Third Workshop on Parallel Computing and Optimization

http://conf.laas.fr/PCO13/

to be held in conjunction with Symposium IEEE IPDPS, Boston, USA,

May 24, 2013; http://www.ipdps.org

Paper Submission Deadline: January 11, 2013.

INVITED PLENARY SPEAKER: Professor Dimitri P. Bertsekas, LIDS, MIT

Topics: Integer programming, linear programming, nonlinear

programming; Global optimization, polynomial optimization; Exact

methods, heuristics; Graph partitioning, preconditioning,

Combinatorial Scientific Computing; Parallel algorithms for

combinatorial optimization; Parallel metaheuristics; Distributed

optimization algorithms; Hybrid computing and the solution of

optimization problems; Peer-to-peer computing and optimization

problems; Applications: planning, logistics, manufacturing, finance,

telecommunications, computational biology, combinatorial algorithms in

high performance computing.

Paper submission deadline: January 11, 2013

Notification of acceptance: February 19, 2013

Prospective authors should submit their papers through Workshop PCP 2013

submission system, i.e., EDAS conference management service,

http://edas.info/N13793

-------------------------------------------------------

From: Tom Bella <tombella@math.uri.edu>

Date: Sun, 6 Jan 2013 17:16:43 -0500

**Subject: Contributed Minisymposia, ILAS Annual Meeting, USA, Jun 2013**

The scientific organizing committee welcomes proposals for contributed

minisymposia for the International Linear Algebra Society 2013 meeting

in Providence, RI, USA on June 3-7, 2013. For details about ILAS 2013,

see our website at http://www.ilas2013.com

Minisymposia talks will be 30 minutes total (25 minutes plus 5 minutes

for discussion), and scheduled in blocks of 4 talks. Please submit

proposals for 4, 8, or 12 speaker minisymposia (the final size of

minisymposia will be fixed by the scientific committee).

Proposals should be in PDF format, and no more than 2 pages total.

Proposals should include the names of the organizers, a short

description of the topics of the minisymposium, and the names of

proposed speakers.

Proposals are due January 18th, 2013, and decisions will be reached by

February 1st, 2013.

Please email proposals directly to (both) chairs of the organizing

committee: Vadim Olshevsky and Tom Bella at olshevsky@uconn.edu,

tombella@math.uri.edu

-------------------------------------------------------

From: Ilse Ipsen <ipsen@ncsu.edu>

Date: Sat, 5 Jan 2013 10:04:44 -0500

**Subject: Graduate Student Modeling Workshop, USA, Jul 2013**

The 19th Industrial Mathematical & Statistical Modeling (IMSM)

Workshop for Graduate Students will take place at North Carolina State

University, 15-23 July 2013. The workshop is sponsored by the

Statistical and Applied Mathematical Science Institute (SAMSI)

together with the Center for Research in Scientific Computation (CRSC)

and the Department of Mathematics at North Carolina State University.

The IMSM workshop exposes graduate students in mathematics,

engineering, and statistics to exciting real-world problems from

industry and government. The workshop will provide students with

experience in a research team environment and exposure to possible

career opportunities. Local expenses and travel expenses will be

covered for students at US institutions.

The application deadline is 15 April 2013.

Information is available at http://www.samsi.info/IMSM13,

and questions can be directed to grad@samsi.info

With best regards,

Ilse Ipsen, Pierre Gremaud, and Ralph Smith

-------------------------------------------------------

From: Vincent Natoli <vnatoli@stoneridgetechnology.com>

Date: Fri, 4 Jan 2013 08:43:46 -0500

**Subject: Computational Scientist Position, Stone Ridge Technology**

Stone Ridge Technology has an immediate opening for a full-time

computational scientist. The candidate will join a team of physicists,

applied mathematicians and computer scientists working on large-scale

high performance scientific and engineering codes in a variety of

disciplines including Energy, Oil and Gas and Finance. Exceptional

ability in C++, C and UNIX required. The candidate should have

experience coding for performance, experience with

multicore/multi-node and GPU programming and the ability to rapidly

understand and contribute to complex technical codes in a variety of

engineering and scientific disciplines. PhD in Physics, Applied Math,

Engineering or Computer Science preferred.

Required

Exceptional programming ability in C++.

Experience with large technical codes as primary author.

Experience programming for performance.

Experience in GPU programming with CUDA.

Experience in parallel programming, OpenMP, MPI, pThreads.

Experience with Unix systems.

Preferred

PhD in Physics, Applied Math, Engineering or Computer Science.

Experience with the numerical solution of PDE’s.

Experience with sparse linear algebra.

Experience with Geophysics, CFD, MHD or CEM.

Stone Ridge Technology provides services and products to the High

Performance Computing industry focusing in Oil and Gas, Bioinformatics

and Finance. It develops, ports and optimizes scalable physics and

engineering based technical codes for modern multi-core and GPU

compute architectures. It markets GAMPACK, a scalable high-performance

GPU-based Algebraic Multigrid linear solver library. Candidates

should be comfortable with a challenging, high-energy

environment. Compensation includes salary, bonus and equity

options. Interested candidates should email resumes to Dr. Vincent

Natoli: vnatoli@stoneridgetechnology.com. This position is in Bel Air,

MD.

-------------------------------------------------------

From: Haesun Park <hpark@cc.gatech.edu>

Date: Fri, 4 Jan 2013 11:08:41 -0500

**Subject: Faculty Positions, School of CSE, Georgia Tech**

The School of Computational Science and Engineering of the College of

Computing at the Georgia Institute of Technology invites applications

for tenure-track faculty positions. Applications at all levels of

service will be considered. We encourage applications from all areas

of computational science and engineering. Applicants with expertise in

areas related to high-performance computing, scientific computing,

large-scale data analytics, visualization, computational systems

biology, modeling & simulation, or complex systems are especially

encouraged to apply.

Applications will be considered until open positions are

filled. However, to receive full consideration; applications should be

submitted online through https://academicjobsonline.org/ajo/jobs/2236

immediately. The application material should include a full academic

CV, teaching and research statements, a list of at least three

references and up to three publications.

For more information about the School of Computational Science and

Engineering please visit: http://www.cse.gatech.edu/

-------------------------------------------------------

From: Ronald Boisvert <boisvert@nist.gov>

Date: Thu, 3 Jan 2013 10:17:40 -0500

**Subject: Postdoc Positions, NIST**

The US National Research Council (NRC) Associateship Program is

accepting applications for two-year appointments for postdoctoral

research at the National Institute of Standards and

Technology (NIST) in Gaithersburg, Maryland and Boulder,

Colorado. Among the topic areas of interest are image analysis,

dynamical systems, combinatorial and discrete algorithms, applied

optimization and control, compressive sensing, scientific data

mining, immersive visualization, parallel/distributed computing,

and verification, validation, and uncertainty quantification in

scientific computing. Of particular interest are applications

in materials science, electromagnetics, optoelectronics,

computational biology, network science, quantum information,

and computer security. For details see

http://www.nist.gov/itl/math/mcsd-postdoctoral-opportunities.cfm

Competition for postdoctoral awards across all NIST technical

program areas is managed by the NRC. Applications must be

submitted directly to the NRC; the deadline for applications is

February 1. An additional competition is held in the summer, with

an application deadline of August 1. Note that the NRC program at

NIST is restricted to US citizens.

-------------------------------------------------------

From: Grigorios Pavliotis <g.pavliotis@imperial.ac.uk>

Date: Sun, 06 Jan 2013 22:11:09 +0000

**Subject: PhD Position, Sochastic Climate Models, Imperial College London**

PhD Position on Data-driven derivation of stochastic climate models,

Department of Mathematics, Imperial College London

Supervisor: Dr G.A. Pavliotis (g.pavliotis@imperial.ac.uk);

co-Supervisor: Dr C.J. Cotter (colin.cotter@imperial.ac.uk)

Funded by the Grantham Institute for Climate Change.

The goal of this project is to develop a toolkit of systematic

statistical methods for diagnosing dynamical behaviours (such as

bistability) from climate proxy data, and quantifying our uncertainty

in this diagnosis.

Kwasniok and Lohmann (2009) proposed a one dimensional model for this

data, consisting of stochastically forced motion in a double well

potential, and attempted to estimate the parameters describing the

shape of the well from the data using an unscented Kalman

filter. Their parameters indicated that the lower ?18O state was much

more stable than the upper state. However, they did not attempt to

estimate confidence intervals for their parameters, nor did they test

the hypothesis that the model predicts the data well; a preliminary

study using more rigorous methods suggests that the errors are too

large to make any statements about metastability with this length of

data. In this project, we will utilise the wealth of analytical,

computational and statistical techniques have been developed in recent

years for the study of complex multiscale dynamical systems. These

techniques enable us to obtain low dimensional effective dynamics that

capture accurately the evolution of a few appropriately selected

variables (slow variables, resolved degrees of freedom) at the length

and time scales of interest. Such adiabatic elimination and

coarse-graining methodologies can be made rigorous under the

assumption of scale separation. One important development in recent

years is the systematic use of data in the derivation and validation

of the effective dynamics (data-driven coarse graining). The goal of

the PhD studentship is the systematic use of analytical, statistical

and computational techniques for deriving low-dimensional stochastic

climate models in a data-driven framework. In particular main

objective will be the following: given noisy data from the original

dynamics (projected onto the slow variables), estimate parameters (or

even the functional form) in the effective dynamics. A first step in

this direction was taken in Pavliotis and Stuart (2007), with

applications to oceanic transport in Cotter and Pavliotis (2009). In

this work, one of the key issues has been the issue of model

misspecification: the effective stochastic model is only valid on long

timescales and so the data must be subsampled appropriately. In this

project, we will take this toolkit and apply it to a number of climate

proxy datasets, concentrating on using parameter estimation to detect

bistable/metastable states and stochastic resonances. These phenomena

result in nonlinear threshold behaviour which are often discussed in

the context of the impacts and costs of climate change. We will employ

bootstrapping methods to test hypotheses about relationship between

the model and the data, and to quantify uncertainty about statements

about the model. We will investigate hierarchies of models and

quantify the amount of data that is required to make statements at

different heirarchical levels. The result will be a defendable

quantification of what can be inferred about climate behaviour from a

given dataset, which will provide a useful guide for climate

policymakers; we will emphasise the communication of these results in

the project.

Up to 10 Grantham-funded studentships will be available from October

2013, for new students. Studentships cover home/EU fees and bursary

for three years and are open to UK and EU candidates, as well as

overseas candidates who would be able to pay the difference between

home and overseas fees. Further details of the fees payable by

overseas students are available on the College website

(http://www3.imperial.ac.uk/registry/studentfinancialsupport/tuitionfees).

References:

[1] C.J. Cotter and G. Pavliotis, Estimating eddy diffusivities from

noisy Lagrangian observations, Commun.

Math. Sci. (2009).

[2] F. Kwasniok and G. Lohmann. Deriving dynamical models from

paleoclimatic records: application to

glacial millennial-scale climate variability. Phys. Rev. E. (2009).

[3] G.A. Pavliotis and A.M. Stuart, Parameter estimation for multiscale

diffusions, J. Stat. Phys. (2007).

Applicants should contact the supervisors (Dr. G.A. Pavliotis,

g.pavliotis@imperial.ac.uk and Dr C.J. Cotter,

colin.cotter@imperial.ac.uk) directly in order to discuss the potential

projects and submit a CV, covering letter and the names of two academic

referees. Supervisors will advise students of any further/alternative

departmental requirements. The latest date for applications to

supervisors is *1 February 2013. * Interviews are expected to be held in

mid February.

Further information about the Grantham Institute PhD Studentships can

be found at http://www3.imperial.ac.uk/climatechange/employment

-------------------------------------------------------

From: "Collis, Samuel Scott" <sscoll@sandia.gov>

Date: Thu, 3 Jan 2013 19:20:45 +0000

**Subject: Summer Intern Positions, Computer Science Research Institute**

Sandia National Laboratories' Computer Science Research Institute

(CSRI) located in Albuquerque, NM seeks multiple students to

participate in collaborative research across a wide range of areas in

computer science, applied mathematics, and computational science and

engineering. Possible research areas include advanced computer

architectures, systems software, programming languages and paradigms,

networks, informatics and information sciences, combinatorial

mathematics, discrete event simulation, scalable linear and nonlinear

solvers, continuous and discrete optimization, uncertainty

quantification, statistics, multi-scale methods and mathematics,

multi-physics modeling, visualization, and meshing. Students are also

sought with interests in applying computational methods to scientific

and engineering applications including shock physics,MHD, CFD,

electrical systems, MEMS, and climate science.

These student summer internships are for motivated and enthusiastic

individuals with excellent communication skills that have the desire

to gain research experience in a highly collaborative research

environment. Successful applicants will be exposed to a wide range of

computational research at Sandia and will have a strong project-based

research experienceworking directly with Sandia staff scientists.

To learn more about the requirements for graduate and undergraduate

positions, and to apply online, please visit us at

http://www.sandia.gov/careers/search-openings.html, click Advanced

Search and reference the specified Job Opening ID Number: 642453 (for

current graduate students) and 642451 (for current undergraduate

students).

U.S. Citizenship Normally Required. Equal Opportunity Employer.

M/F/D/V.

-------------------------------------------------------

From: "Prof. T. Tang" <ttang@math.hkbu.edu.hk>

Date: Sat, 5 Jan 2013 13:55:13 +0800 (HKT)

**Subject: Contents, East Asian Journal on Applied Mathematics, 2(4)**

East Asian Journal on Applied Mathematics (EAJAM)

http://www.global-sci.org/eajam/

Volume 2, Number 4, 2012

http://www.global-sci.org/eajam/volumes/v2n4

J. Ding and N. H. Rhee, A Nontrivial Solution to a Stochastic Matrix

Equation, pp. 277-284.

Roger J. Hosking and Fausto Milinazzo, Modelling the Floating Ladder

Track Response to a Moving Load by an Infinite Bernoulli-Euler Beam on

Periodic Flexible Supports, pp. 285-308.

Jiwoon Kim, Dongwoo Sheen and Sungwon Shin, Option Pricing of Weather

Derivatives for Seoul, pp. 309-325.

Raymond H. Chan, Min Tao, and Xiaoming Yuan, Linearized Alternating

Direction Method for Constrained Linear Least-Squares Problem,

pp. 326-341.

L. H. Wiryanto and H. B. Supriyanto, The Contraction Coefficient of a

Free-Surface Flow Under Gravity Entering a Region Beneath a

Semi-Infinite Plane, pp. 342-352.

Hao Jiang, Xi Chen, Yushan Qiu and Wai-Ki Ching, On Generating Optimal

Sparse Probabilistic Boolean Networks with Maximum Entropy from a

Positive Stationary Distribution, pp. 353-372.

------------------------------

End of NA Digest

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