NA Digest, V. 18, # 27

NA Digest Sunday, July 08, 2018 Volume 18 : Issue 27


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

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From: Frank Kunkle kunkle@siam.org
Date: July 03, 2018
Subject: New Book, Linear Stochastic Systems


LINEAR STOCHASTIC SYSTEMS BY PETER E. CAINES
http://bookstore.siam.org/cl77/
2018 / xviii + 874 pages / Softcover / ISBN 978-1-611974-70-6 / List
Price $89.00 / SIAM Member Price $62.30 / Order Code CL77

Keywords: stochastic systems, linear systems, control theory,
filtering and state estimation, system identification, adaptive
control, optimal control

Linear Stochastic Systems, originally published in 1988, is today as
comprehensive a reference to the theory of linear discrete-time-
parameter systems as ever. Its most outstanding feature is the unified
presentation, including both input-output and state space
representations of stochastic linear systems, together with their
interrelationships.

The author first covers the foundations of linear stochastic systems
and then continues through to more sophisticated topics including the
fundamentals of stochastic processes and the construction of
stochastic systems; an integrated exposition of the theories of
prediction, realization (modeling), parameter estimation, and control;
and a presentation of stochastic adaptive control theory. Written in
a clear, concise manner and accessible to graduate students,
researchers, and teachers, this classic volume also includes
background material to make it self-contained and has complete proofs
for all the principal results of the book. Furthermore, this edition
includes many corrections of errata collected over the years.

Audience: This book is written for graduate students, teachers, and
research workers in the areas of systems and control theory and its
application, probability and statistics, time-series analysis,
econometrics, and related areas.




From: Jens-Dominik Mueller j.mueller@qmul.ac.uk
Date: July 05, 2018
Subject: Summer School, Gradient-based Optimisation, Adjoint methods, AD, UK, Aug 2018


The Special Interest Group Numerical Optimisation in Fluids, under the
umbrella of the UK Fluids Network, is organising a Summer School on
"An introduction to gradient-based optimisation, adjoint methods and
Automatic Differentiation" to be held at Cambridge University, UK,
8-10 August 2018.

The program is available at
http://signumopt.sems.qmul.ac.uk/events/aug18adjoint/

A link to registration for the event will be added shortly, places are
limited to 20 participants.




From: Oliver Ernst oernst@math.tu-chemnitz.de
Date: July 08, 2018
Subject: Chemnitz Finite Element Symposium, Germany, Sep 2018


We have extended the deadline for submitting contributions to the
31st Chemnitz Finite Element Symposium
September 24 - 26, 2018
https://www.chemnitz-am.de/cfem2018

Scientific topics of the FE symposium cover all aspects of finite
elements with special emphasis this year on Uncertainty
Quantification, Optimal Control, Preconditioning

Invited Speakers:
- Howard Elman (University of Maryland)
- Lars Ruthotto (Emory University)
- David Silvester (University of Manchester)

Deadlines:
- July 13, 2018: online submission of abstracts
- July 31, 2018: online registration (including room reservation)

The registration form and further information can be found under
https://www.chemnitz-am.de/cfem2018

(Please do not hesitate to give details on any dietary/special
requirements within the comment field.)

This year's FE Symposium is held in conjunction with other applied
mathematics events as part of the Chemnitz September of Applied
Mathematics (CSAM): https://www.chemnitz-am.de/index.php

Please consider registering for the other events as well.



From: Dominik Bartuschat dominik.bartuschat@cs.fau.de
Date: July 07, 2018
Subject: Deadline Extension, Computational Science at Scale, Germany, Sep 2018


The HPC symposium "Computational Science at Scale" CoSaS 2018 will
take place in Erlangen, Germany from Wednesday, September 5 until
Friday, September 7, 2018. This symposium is organized within the
scope of the DFG priority programme "Software for ExaScale Computing"
(SPPEXA) that addresses fundamental research on the various aspects of
HPC software. The main objectives of the symposium are to review the
state of art in large-scale numerical simulation with applications in
science and engineering and to be a forum for the exchange of results
and ideas in HPC.

Specific topics of interest include, but are not limited to:
Large-scale parallel applications; Scalable parallel algorithms;
Parallel computer architectures; Performance analysis, tuning, and
debugging; and Fault tolerance.

The program will consist of high-level invited talks, a public evening
lecture, and a poster session. This session will include a Poster
Blitz (i.e. a brief presentation to promote your poster) and a Best
Poster Award. Abstracts (of up to 150 words) for the posters from the
HPC community are welcome and should be submitted before Wednesday,
July 18, 2018 via https://www.cosas2018.fau.de .

July 18, 2018 poster abstract submission ( extended ! )
July 23, 2018 acceptance notification
August 6, 2018 registration deadline

For further information, registration, and poster abstract submission,
please see our symposium website https://www.cosas2018.fau.de

In case of any further questions, please do not hesitate to email us
at conference-cosas2018-orga@fau.de




From: Svetozar Margenov margenov@parallel.bas.bg
Date: July 04, 2018
Subject: Large-Scale Scientific Computations, Bulgaria, Jun 2019


The 12th International Conference "Large-Scale Scientific
Computations" will take place in June 10-14, 2019, Sozopol, Bulgaria:
http://parallel.bas.bg/Conferences/SciCom19/

Topics: hierarchical, adaptive, domain decomposition and local
refinement methods; robust preconditioning algorithms; Monte Carlo
methods and algorithms; numerical linear algebra; control systems;
parallel algorithms and performance analysis; large-scale computations
of environmental, biomedical and engineering problems.

Plenary invited speakers: Hans Georg Bock (University of Heidelberg);
Robert Falgout (Lawrence Livermore National Laboratory); Scott
MacLachlan (Memorial University, Newfoundland and Labrador); Carmen
Rodrigo (University of Zaragoza); Evgeny Tyrtyshnikov (Institute of
Numerical Mathematics, Russian Academy of Sciences).

Applications for organizing special sessions are welcome till
September 30.

E-mail: scicom19@parallel.bas.bg




From: Steven Lee steven.lee@science.doe.gov
Date: July 03, 2018
Subject: Program Manager Position, Applied Math Program, DOE


The Department of Energy, Office of Science, Office of Advanced
Scientific Computing Research (ASCR), is seeking motivated and highly
qualified individuals interested in serving as a Program Manager for
Applied Mathematics in its Computational Science Research &
Partnerships Division. The Applied Mathematics subprogram supports
basic research leading to fundamental mathematical advances and
computational breakthroughs across the DOE and Office of Science
missions. Applicants should have a strong background in applied
mathematics and high- performance scientific computing. Applicants
should also have a strong understanding of the challenges of
computational modeling, simulation, and analysis.

At this time, a job announcement has not been officially posted.
However, interested applicants should monitor the DOE Office of
Science jobs website under SC Science Programs Positions - Advanced
Scientific Computing Research:
https://science.energy.gov/about/jobs#program/ Required materials to
be gathered in advance include: transcripts of graduate and
undergraduate education, and a resume of education and work
experience. Applicants will need to sign up for an account on the
USAJOBS website https://www.usajobs.gov/ and fully address each
question in the application.




From: C. T. Kelley tim_kelley@ncsu.edu
Date: July 04, 2018
Subject: Faculty Position, Mathematics, NC State


The Department of Mathematics at North Carolina State University
invites applications for a junior tenure-track position beginning Fall
2019. Applications from suitably qualified candidates for more senior
positions will be considered. We are seeking exceptionally
well-qualified individuals with research interests compatible with
those in the department in the general area of interdisciplinary
mathematics. Research areas of interest include but are not limited
to: harmonic analysis, approximation theory, probability and
stochastic processes, numerical analysis, and topological data
analysis. Applications can include but are not limited to: analytical
and computational approaches for problems with uncertainties or
stochasticity, signal processing, imaging, analysis of the geometric
features of data sets, or other applications in computational science
and engineering. Candidates are expected to be actively engaged in
cross-disciplinary research with demonstrated ability for impact in a
related outside field. Information about the department is available
at https://math.sciences.ncsu.edu/. Candidates must have a PhD in the
mathematical sciences or related areas, a successful post-doctoral
experience, an outstanding research program, a commitment to effective
teaching at the undergraduate and graduate levels, and demonstrated
potential for excellence in both research and teaching. We are
especially interested in qualified candidates who can contribute,
through their experience, research, teaching and/or service, to the
diversity and excellence of the academic community.

Applications received by November 1st 2018 will be given full
consideration.

Submit your application materials at
http://www.mathjobs.org/jobs/ncsu. Please include curriculum vitae,
at least three letters of recommendation, a description of current and
planned research, and a teaching statement. You will then receive
instructions to complete a faculty profile at http://jobs.ncsu.edu/.

For questions concerning the position, contact math-jobs@math.ncsu.edu

NC State University is an equal opportunity and affirmative action
employer. All qualified applicants will receive consideration for
employment without regard to race, color, national origin, religion,
sex, gender identity, age, sexual orientation, genetic information,
status as an individual with a disability, or status as a protected
veteran. Individuals with disabilities requiring disability-related
accommodations in the application and interview process, please call
919-515-3148.




From: Roel Verstappen r.w.c.p.verstappen@rug.nl
Date: July 06, 2018
Subject: Assistant/Associate/Full Professor Position, Comp Math, Univ of Groningen


Since its founding in 1614, the University of Groningen has enjoyed an
international reputation as a dynamic and innovative center of higher
education, offering high- quality teaching and research. Balanced
study and career paths in a wide variety of disciplines encourage the
30,000 students and researchers to develop their own individual
talents. Belonging to the best research universities in Europe and
joining forces with prestigious partner universities and networks, the
University of Groningen is truly an international place of knowledge.

The Faculty of Science and Engineering has a vacancy in Computational
Mathematics at the level of tenure track assistant, associate or full
professor. We are looking for a researcher in Mathematics who will
develop computational solutions of today's highly complex problems of
science and engineering, ranging from the design of suitable,
computationally tractable models, to the mathematical analysis of
numerical algorithms. Your contributions are to be geared towards
improving the mathematical insight in this broad area of
research. Diverse aspects of computational mathematics can be
envisioned: algorithmic issues that are tied together by numerical
mathematics, as well as challenging computational modelling issues
that can be studied mathematically.

You may apply for this position until 14 August 23:59h / before 15
August 2018

More information can be found at
www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=00347-
02S0006FFP




From: Guowei Wei wei@math.msu.edu
Date: July 03, 2018
Subject: Assistant Professor Position, Michigan State Univ


The Department of Mathematics at Michigan State University (MSU)
invites applications for a three-year, fixed term assistant professor
position. This position begins August 16, 2018, and will be renewed
yearly subject to performance and funding availability. The successful
candidate will teach two courses per academic year and conduct
research in mathematical molecular biophysics and biology in
conjunction with Prof. Guowei Wei's research group. A Ph.D. in
mathematics, quantitative biology, or a related field is required.
Demonstrated excellence in mathematics instruction, strong expertise
in machine learning/deep learning and computer-aided drug design, and
a commitment to work with pharmaceutical companies is expected. The
position offers exciting opportunities for individuals interested in
teaching, research, external funding application, and
graduate/undergraduate student interaction within the environment of a
Big10 university.

Application should submit the following materials through the Mathjobs
in support of their application:
1. Cover letter explaining the applicant's interest in and fit with
the advertised position
2. Curriculum Vitae
3. Statement on teaching philosophy
4. Three reference letters (to be submitted by the reference writers
at MathJobs). At least one of them should address the applicant's
teaching experience.

The review of applications will begin on July 15, 2018 and the search
will remain active until the position is filled. Questions regarding
this position may be directed to the search committee chair,
Prof. Guowei Wei, at weig@msu.edu. The Department of Mathematics
cultivates a vibrant, multi-disciplinary community that is diverse
along many dimensions, including race and ethnicity; gender, sexual
orientation, and gender identity and expression; ability status; and
creed or ideology. MSU is an affirmative-action, equal-opportunity
employer. MSU is committed to achieving excellence through a diverse
workforce and inclusive culture that encourages all people to reach
their full potential. The University actively encourages applications
and/or nominations of women, persons of color, veterans, and persons
with disabilities, and supports spouse/partner hires.



From: George Constantinides g.constantinides@imperial.ac.uk
Date: July 06, 2018
Subject: Research Assistant/Associate Position, Disciplined Approximate Arithmetic


Please see http://www.jobs.ac.uk/job/BLB308/research-assistant-
associate-in-disciplined-approximate-arithmetic for a vacancy in my
group for a member of research staff to work on approximate computing.




From: Matteo Icardi matteo.icardi@nottingham.ac.uk
Date: July 05, 2018
Subject: Postdoc Position, UQ and Multiscale Reservoir Modelling, Univ of Nottingham


University of Nottingham, School of Mathematical Sciences
http://www.nottingham.ac.uk/mathematics
GeoEnergy Research Centre
http://www.gerc.ac.uk

Research Associate/Fellow: Fixed-term (24+12 months) full-time
position available from 1st October 2018 or as soon as possible
thereafter. Salary 29,799 - 36,613 GBP, depending on skills and
experience.

NEW APPLICATION LINK:
https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI224118

We are looking for a Research Assistant/Fellow, whose expertise lies
in computational modelling of flow through porous media, to work with
with Dr. Matteo Icardi (Mathematics), and collaborators at the
GeoEnergy Research Centre (Dr. Bagus Muljadi, Dr. Veerle Vandeginste)
on the EU H2020 funded project entitled "SECURe: Subsurface Evaluation
Of Carbon Capture And Storage And Unconventional Risk". The central
aim of the project is to develop model reduction and data assimilation
strategies for porous media flow models, able to predict and mitigate
risks related to the CCS technologies.

We are looking for a confident, organised researcher who can evidence:
- A PhD, or equivalent in applied mathematics or a relevant branch of
engineering/physics.
- Expert knowledge of modelling and numerical methods for flow and
transport problems in porous media
- Background knowledge in more than one of the following areas:
Uncertainty quantification or inverse problems; Multiscale
modelling; Carbon capture and storage; Reservoir simulation /
geomechanical fracture models; Model reduction; Multiphase flows;
Finite Elements or Finite Volumes
- Excellent communication and organisational skills.
- The ability to work independently and as part of a multidisciplinary
and multicultural team.
- Networking, actively engaging with and valuing other areas and
diverse groups.

Informal enquiries may be addressed to Dr. Matteo Icardi email:
matteo.icardi@nottingham.ac.uk.




From: Markus Rampp mjr@mpcdf.mpg.de
Date: July 05, 2018
Subject: Postdoc Positions, HPC, Max-Planck Society, Germany


The Max Planck Computing and Data Facility (MPCDF), in collaboration
with theory groups of several Max Planck Institutes working in the
fields of Materials- and Bio-Sciences, theoretical Chemistry,
Plasmaphysics and Astrophysics, is looking for Computational
Scientists or HPC application experts (up to two positions). The
successful candidate will be associated with the applications group at
the MPCDF (based in Garching near Munich, Germany) and will work on
the development and optimization of scientific high-performance
computing (HPC) simulation codes, and will contribute to their
extension to exascale HPC architectures (e.g. GPU-accelerated
clusters). In addition, there are opportunities for engaging in
machine-learning and high-performance data analytics projects.

The applicant should hold a PhD in Physics, applied Mathematics,
Computer Science or a similar subject. A strong background in parallel
programming (ideally with modern Fortran, C or C++, together with MPI,
OpenMP, and GPU programming models), some experience with large code
projects and high performance computing are necessary. We offer the
opportunity to work on state-of-the-art numerical algorithms, leading
HPC codes and latest supercomputer technology and to maintain close
collaborations with the code owners (e.g. OCTOPUS, GROMACS, ...) and
domain scientists from various Max-Planck-Institutes. Scientific
domain expertise in one of the fields of materials and bio sciences,
theoretical chemistry, polymer research, astrophysics, or plasma
physics is an asset but not obligatory.

The full time position starts as soon as possible and is initially
limited for a period of three years. Salary will be based on
experience according to the German TVoD. For detailed information,
please visit http://www.mpcdf.mpg.de/about-mpcdf/career/jobs/




From: Thomas Surowiec surowiec@mathematik.uni-marburg.de
Date: July 03, 2018
Subject: PhD Position, Optimization, Philipps-Univ Marburg


The research group on "Optimization" of Prof. Dr. Thomas M. Surowiec
at the Department of Mathematics and Computer Science is currently
accepting applications for a Research Assistant (PhD student).

The position is offered for a period of three years, assuming the
candidate has not previously spent time as a Ph.D. student
elsewhere. The starting date is as soon as possible after the closing
date for accepting applications. The position is part-time (50 % of
regular working hours) with salary and benefits commensurate with a
public service position in the state Hesse, Germany (TV-H E 13, 50 %).

In addition, the candidate is expected to provide support in the
organization, preparation, and execution of research and teaching,
especially in mathematical optimization. This includes holding
recitations and tutorials and assisting in practical training and
seminars for courses in mathematics, operations research, and computer
science. Participation in the academic self-governance of the
department is also expected.

The position is limited to a time period deemed adequate for the
completion of a doctoral degree. As part of the assigned duties, there
will be ample opportunity to conduct the independent scientific
research necessary for the completion of a doctorate. The limitation
complies to S2, 1 WissZeitVG.

Feel free to contact Prof. Surowiec at
surowiec@mathematik.uni-marburg.de for more information.

The official German version of this advertisement may be found here:
https://www.uni-
marburg.de/administration/verwaltung/dez2/personalabteilung/bewerber/stellen/oeffentlich/
oeffwisstellen/fb12-0010-wmz-200718.pdf




From: Dimitri Breda dimitri.breda@uniud.it
Date: July 02, 2018
Subject: PhD Positions, Univ of Udine


Ph.D. in Informatics and Mathematical and Physical Sciences,
University of Udine.

Applications are invited for 10 positions.

All information can be found at
https://www.uniud.it/en/research/research-doctorate/phdstudies/admission/ph.d.-call-1?
set_language=en

The deadline is July 20, 2018 at 02.00 p.m. (Italian time).




From: Raimondas Ciegis rc@vgtu.lt
Date: July 05, 2018
Subject: Contents, Mathematical Modelling and Analysis, 23 (3)


MATHEMATICAL MODELLING AND ANALYSIS
The Baltic Journal on Mathematical Applications, Numerical Analysis
and Differential Equations, ISSN 1392-6292, ISSN 1648-3510 online,
Electronical edition: http://mma.vgtu.lt

Raimondas {\v{C}}iegis (Editor) Volume 23, Issue 3, 2018

Daniele Funaro, High Frequency Electrical Oscillations in Cavities

Alexander Zlotnik and Olga Kireeva, Practical Error Analysis for the
Three-Level Bilinear FEM and Finite-Difference Scheme for the 1D Wave
Equation With Non-Smooth Data

Huapeng Wang, Nan Jiang, Ting Liu and Yangyang Cao, Adaptive Stable
Control of Manipulator System Based on Immersion and Invariance

Mario Annunziato and Hanno Gottschalk, Calibration of L\'evy Processes
Using Optimal Control of Kolmogorov Equations with Periodic Boundary
Conditions

Eugene C. Gartland, Jr., Scalings and Limits of Landau-de\,Gennes
Models for Liquid Crystals: A Comment on Some Recent Analytical Papers

Lamia Seghour, Amirouche Berkani, Nasser-eddine Tatar and Fardin
Saedpanah, Vibration Control of a Viscoelastic Flexible Marine Riser
with Vessel Dynamics

Pham Ngoc Anh and Dang Van Hieu, Multi-Step Algorithms for Solving EPs

Almaz Mustafin and Aliya Kantarbayeva, Supply Chain Modeled as a
Metabolic Pathway

Alexander V. Vasilyev and Vladimir B. Vasilyev, Pseudo-Differential
Operators and Equations in a Discrete Half-Space

Alexander N. Prokopenya, Numerical-Symbolic Methods for Searching
Relative Equilibria in the Restricted Problem of Four Bodies



End of Digest
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