NA Digest, V. 18, # 48

NA Digest Monday, December 03, 2018 Volume 18 : Issue 48


Today's Editor:

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

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From: Nick Trefethen trefethen@maths.ox.ac.uk
Date: November 29, 2018
Subject: 8-digit Laplace solutions on polygons?


Can anyone point us to software that can solve the Laplace equation on
polygons with 8-digit accuracy all the way to the corners? Various
methods can handle such problems in principle, but we are looking for
actual software for comparisons with our own new method under
development.

Here's an example problem. Let the domain be the L-shaped region in
the (x,y)-plane consisting of [0,2]x[0,2] minus its upper-right
quarter. If u is harmonic in this region with u = x^2 on the
boundaries, what is u(.99,.99) to 8 digits?

Many thanks, - Nick Trefethen and Abi Gopal


From: Jan S Hesthaven jan.hesthaven@epfl.ch
Date: November 29, 2018
Subject: ICERM Scientific Machine Learning, USA, Jan 2019


The machine learning revolution is already having a significant impact
across the social sciences and business, but it is also beginning to
change computational science and engineering in fundamental and very
varied ways.

We are experiencing the rise of new and simpler data-driven methods
based on techniques from machine learning such as deep learning. This
revolution allows for the development of radical new techniques to
address problems known to be very challenging with traditional methods
and suggests the potential dramatic enhancement of existing methods
through data informed parameter selection, both in static and dynamic
modes of operation. Techniques are emerging that allows us to produce
realistic solutions from non-sterilized computational problems in
diverse physical sciences.

However, the urgent and unmet need to formally analyze, design,
develop and deploy these emerging methods and develop algorithms must
be addressed. Many central problems, e.g., enforcement of physical
constraints in machine learning techniques and efficient techniques to
deal with multiscale problems, are unmet in existing methods.

The primary goal of this Hot Topic workshop is to bring together
leading researchers across various fields to discuss recent results
and techniques at the interface between traditional methods and
emerging data-driven techniques to enable innovation in scientific
computing in computational science and engineering.

More information available at https://icerm.brown.edu/events/ht19-1-sml/


From: Idoia Cortes Garcia cortes@gsc.tu-darmstadt.de
Date: November 27, 2018
Subject: ECMI Mathematical Modelling Week, Germany, Feb 2019


The 33rd ECMI Mathematical Modelling Week will be organized by the
Center for Computational Engineering of the Technische Universitat
Darmstadt, and will take place from February 24 to March, 3, 2019 in
Darmstadt, Germany. Students come from all over Europe to spend a week
working in small multinational groups on projects which are based on
real-life problems.

The main aims of the Modelling Weeks are to train students in
Mathematical Modelling and stimulate their collaboration and
communication skills, in a multinational environment. Attendance at a
Modelling week is an integral part of the ECMI certificate and of many
of the masters courses run at ECMI centres but many other students
have also learned new skills by attending one of these very successful
courses.

For additional information, please check
http://graduate-school-ce.de/ecmi2019
or contact the organisers (ecmi@ce.tu-darmstadt.de).

Student registration deadline: December 31st, 2018.


From: Ricardo Ruiz Baier ruizbaier@maths.ox.ac.uk
Date: November 29, 2018
Subject: UK Graduate Modelling Camp, UK, Apr 2019


The EPSRC Centre for Doctoral Training in Industrially Focused
Mathematical Modelling (InFoMM CDT) is now accepting applications for
the InFoMM 2018 UK Graduate Modelling Camp, Mathematical Institute,
University of Oxford, 2-5 April, 2019.

The UK Graduate Modelling Camp is a 4-day workshop that aims to
provide participants with hands-on experience of mathematical
modelling under the guidance of experienced instructors. The Camp is
open to PhD students in numerate disciplines and is designed to
promote a broad range of problem-solving skills, such as mathematical
modelling & analysis, scientific computation & critical assessment of
solutions.

The mentors for the 2019 edition of the event will be
Radu Cimpeanu, Oxford
Susana Gomes, Warwick
Huaxiong Huang, Toronto
Katerina Kaouri, Cardiff
Nicos Pavlidis, Lancaster

For further information, and to apply, please visit
http://www.maths.ox.ac.uk/r/infommgradcamp

Applications close on 31 January 2019



From: Giovanni Russo, Lorenzo Pareschi, Sebastiano Boscarino, Giuseppe Izzo giuseppe.izzo@unina.it
Date: December 02, 2018
Subject: Efficient High-order Time Discretization Methods for PDEs, Italy, May 2019


We are glad to announce that the international Workshop "Efficient
high-order time discretization methods for PDEs" (PDETD19) will be
held in Anacapri, Italy, on May 8-10, 2019.

The aim of this workshop is to bring together young researchers and
leading scientists interested in high order time discretization
methods for the solution of evolutionary partial differential
equations, with special emphasis on implicit-explicit (IMEX),
semi-implicit and strong stability preserving methods.

All the information about invited speakers, abstract submission,
registration and important dates can be found on the website:
http://www.dma.unina.it/pdetd19/

If you want to keep up to date with the workshop, please sign up here:
http://www.dma.unina.it/pdetd19/mailinglist.php

Registrations will be open by December 10, 2018.

Please, note that, due to logistic reasons, a maximum number of 55
participants will be admitted.



From: Dugald Duncan d.b.duncan@hw.ac.uk
Date: November 28, 2018
Subject: Faculty Positions, Computational Maths, Heriot-Watt Univ, Edinburgh


The Department of Mathematics at Heriot-Watt University in Edinburgh,
Scotland is seeking to make one or more academic appointments at
Assistant, Associate or Full Professor level to enhance existing
research strengths in the Department. We would welcome, particularly,
applicants with expertise in the areas of differential geometry,
applied mathematics or computational mathematics and applicants whose
research has the potential for industrial or interdisciplinary
connections.

More Details: http://www.ma.hw.ac.uk/maths/maths.html
Closing date: 9 January 2019

The Department of Mathematics is part of the School of Mathematical
and Computer Sciences, which also comprises the Departments of
Actuarial Mathematics & Statistics and of Computer Science. The
Department forms part of the Maxwell Institute for Mathematical
Sciences (www.maxwell.ac.uk), a joint research institute bringing
together within a single body the mathematical research activities at
Heriot-Watt University and at the University of Edinburgh. All our PhD
students are part of the Maxwell Institute Graduate School that aims
to be an internationally pre-eminent centre for postgraduate training
and research in the mathematical sciences, and to offer an environment
that is able to attract and foster the very best mathematical talent
from around the world. The Department is also a co-founder of the
International Centre for Mathematical Sciences (ICMS). The extensive
programme of international workshops and meetings of ICMS further
enhances the mathematical environment of the city.

The School of Mathematical and Computer Sciences has an Athena SWAN
Bronze Award and is committed to having a diverse and inclusive
workforce, and to offering equality of opportunity to all.



From: Boyce Griffith boyceg@email.unc.edu
Date: November 28, 2018
Subject: Tenure-track Position, UNC-Chapel Hill


The Department of Mathematics at the University of North Carolina at
Chapel Hill invites applications for a tenure-track assistant
professor. The department expects applicants will demonstrate the
potential for excellence in research, teaching at the graduate and
undergraduate level, and institutional service. Candidates with
research interests in any area of applied and computational
mathematics are encouraged to apply. We particularly seek candidates
who are specifically interested in building strong interdisciplinary
collaborations, including with faculty in UNC's College of Arts and
Science, School of Medicine, Eshelman School of Pharmacy, and/or
Gillings School of Global Public Health. A PhD degree in mathematics,
applied mathematics, or a closely related field is required at the
time of appointment.

Applicants must apply online at
http://unc.peopleadmin.com/postings/151996. In addition to information
requested by the UNC website, applicants should post the following at
www.mathjobs.org/jobs/jobs/13263: (1) the standard AMS cover sheet;
(2) curriculum vitae; (3) research statement; (4) teaching statement;
and (5) at least three letters of recommendation. Note that candidates
must apply at the UNC website as well as at MathJobs in order to be
considered for the position.

Review of applications will begin on December 15, 2018 and will
continue until the position is filled. The position start date is July
1, 2020, but an appointment as a visiting faculty member is possible
effective July 1, 2019.

Further information is available on our website at www.math.unc.edu,
and specific questions can be referred to Boyce Griffith at
boyceg@email.unc.edu.

The University of North Carolina at Chapel Hill is an equal
opportunity and affirmative action employer. All qualified applicants
will receive consideration for employment without regard to age,
color, disability, gender, gender expression, gender identity, genetic
information, race, national origin, religion, sex, sexual orientation,
or status as a protected veteran.



From: Roland Herzog roland.herzog@mathematik.tu-chemnitz.de
Date: November 28, 2018
Subject: Postdoc and PhD Positions, Optimization on Manifolds, TU Chemnitz


We have openings for two postdoc positions in the area of Optimization
on Manifolds with applications in shape optimization and mathematical
imaging. The envisioned starting date for both positions is February
15, 2019, or as soon as possible thereafter. Funding is initially
secured until December 31, 2019 and it is likely going to be extended
for another year. Please see https://mytuc.org/drmf for further
details.

We also have an opening for a Ph.D. position in the area of
Differential Geometry and Optimization. Please see
https://mytuc.org/dnjg for details.

Interested candidates for either position should apply by December
19, 2018 to roland.herzog@mathematik.tu-chemnitz.de.



From: Markus Clemens clemens@uni-wuppertal.de
Date: December 03, 2018
Subject: PhD Position, Computational Electromagnetics, Univ of Wuppertal


The Chair of Electromagnetic Theory (Prof. Dr. Markus Clemens) at the
School of Electrical, Information and Media Engineering of the
University of Wuppertal invites applications for a PhD Research
Position in "Computational Electromagnetics" with 100 % fulltime
position (E13 TV-L NRW),Tariff group: E 13 TV-L

Qualification profile:
- Master degree (or similar) in in Electrical Engineering/
Computational Electromagnetics, Applied Mathematics, Computational
Engineering Sciences
- Excellent grasp of both German and English (speaking and writing)
- Willingness to work on the research project "Modelling and
numerical simulation of quasistatic fields emitted by power
electronics systems".
- Programming skills in C, C++, Python, Matlab. Candidates must work
with and contribute to the research simulation code platforms of the
Chair of Electromagnetic Theory.
- The ideal candidate will have knowledge in electromagnetic field
theory and scientific computing (numerical solution techniques for
partial differential equation, finite element method, computational
electromagnetics and numerical linear algebra).
- The position involves a teaching load of up to 4h/week (related to
MSc-level "Electromagnetic Theory" and "Computational
Electromagnetics" courses.)

The position corresponds to the regulations of the German
"Wissenschaftszeitvertragsgesetzes (WissZeitVG)", in order to support
the scientific or artistic qualification by contributing to the above
mentioned research project. The position is initially limited to three
years, but an extension to finalize the phd degree is eventually
possible within the regulations of the German Wiss-ZeitVG.

Please send applications (with CV, certificates, references, exam
results,...) including the application call number 18184 to

University of Wuppertal,
Prof. Dr. Markus Clemens, Chair of Electromagnetic Theory
School of Electrical, Information and Media Engineering,
Rainer-Gruenter-Strasse 21,
42119 Wuppertal, Germany

or by email to: clemens(at)uni-wuppertal.de

The University of Wuppertal is an Affirmative Action/Equal Opportunity
Employer, and is committed to increasing the diversity of its
faculty. We especially encourage applications from women, minorities,
and other under-represented groups.



From: Martin Schmidt martin.schmidt@uni-trier.de
Date: November 28, 2018
Subject: PhD Position, Nonlinear Optimization, Trier Univ


In the Faculty IV (Department of Mathematics) at the Trier University,
a PhD position in "Nonlinear Optimization" is to be filled as soon as
possible. Remuneration is based on salary group E 13 TV-L (100%) and
the position is filled for an initial period of three years. An
extension is possible.

The tasks include the support of the professorship "Nonlinear
Optimization" in research and teaching as well as the participation in
the organization of the professorship. The opportunity for a doctorate
is given.

Nonlinear optimization is a very active field of research, especially
in the context of mixed-integer problems. In the working group,
theoretical properties of this problem class are analyzed and
algorithms for the solution of mixed-integer nonlinear optimization
problems are developed. A further topic is equilibrium problems, which
are analyzed theoretically (exemplary questions are the existence and
uniqueness of solutions) and for which solution methods are also
developed. Many of the current questions in the working group are
motivated by technical- physical or economic aspects in the field of
energy, such as the cost- effective control of gas transport networks
or the analysis of electricity trading in Germany.

The applicant is expected to enjoy working in a team and to enjoy
applied mathematical research. We also expect the candidate to be able
to work independently, to be reliable, willing to work in an
interdisciplinary environment, and to have a good and English
languages skills. The prerequisite for employment is a university
degree in mathematics (within the meaning of S56 Para. 2 No. 1
HochSchG). A focus on optimization subjects during the studies is
desirable. Severely handicapped persons are given preferential
employment if they are suitable. The University of Trier is
endeavouring to increase the number of its female academics and urges
them to apply. Applications with the usual documents (letter of
motivation, curriculum vitae, certificates and, if applicable, list of
publications as well as a list of courses supervised to date) in a PDF
file are requested by 31.12.2018 via e-mail to Prof. Dr. Martin
Schmidt (martin.schmidt@uni-trier.de).



From: Sarah Dance s.l.dance@reading.ac.uk
Date: November 28, 2018
Subject: PhD Position, Univ of Reading, UK


PhD project available at the University of Reading, UK Enhancing
forecasting flood inundation mapping through data assimilation

Flooding is major risk for lives and livelihoods around the world. In
Europe alone, the annual cost due to flood damage is expected to rise
to 100 billion EUR by the year 2080, due to a combination of climate
change and socio-economic growth. Timely flood inundation forecasts
allow pro-active flood management, mitigating against loss of life and
damage to key infrastructure. The goal of this PhD project is to
investigate new mathematical methods using observations of floods to
verify and improve flood inundation forecasts.

For more information about the project, see
https://www.findaphd.com/search/ProjectDetails.aspx?PJID=103667

You can find a short video of two of the supervisors, Sarah Dance and
Sanita Vetra-Carvalho talking about this project on YouTube:
https://youtu.be/cbnDQYWtCgk

The project is funded by the SCENARIO NERC Doctoral Training
Partnership with CASE sponsorship from JBA Trust.

Lead Supervisor: Sarah L Dance, University of Reading, Department of
Meteorology, and Department of Mathematics &Statistics
Email: S.L.Dance@reading.ac.uk
Co-supervisors: Sanita Vetra-Carvalho, University of Reading; John
Bevington, Beatriz Revilla-Romero, JBA

Application deadline: 25 January 2019.



From: Matthias Ehrhardt ehrhardt@uni-wuppertal.de
Date: December 03, 2018
Subject: Special Issue, Journal of Computational Science, Finite Difference Methods


We would like to invite you to contribute a paper for the special
issue on the topic of "Finite Difference Methods: Recent Developments
and Applications in Computational Science", which will be published in
Journal of Computational Science (JCS) in 2019.

Submitted papers should be original and are not be under consideration
elsewhere for publication. The authors should follow the journal
guidelines, regarding the manuscript content and its format when
preparing their manuscripts. All papers will be reviewed by at least
two independent reviewers for their suitability in terms of technical
novelty, scientific rigor, scope, and relevance to this special issue.
The objective of this special issue is to present recent important
developments in the construction, analysis and simulation of
approximation techniques based on the Finite Difference Method (FDM)
that address these and other limitations of the FDMs and provide
efficient solutions to advance research in this area. High-quality
original contributions to this special issue are invited from
researchers working in this area.

Potential topics include but are not limited to the following: (High
order) FDMs for Elliptic, Parabolic and Hyperbolic Problems; (High
order) FDMs for Initial and Boundary Value Problems; Alternating
Direction Implicit FDMs; Compact and Symplectic FDMs; Nonstandard
FDMs, positivity-preserving, convexity preserving schemes; High Order
Operator Splitting based FDMs; Mimetic FDMs; Adaptive Mesh Refinement
in FDMs; Multiscale Methods based on FDMs; FDMs on unbounded domains
and on domains with irregular geometry; Irregular Grid FDMs;
Element-free and Meshless FDMs; Parallel FD methods, FDMs on GPUs;
Applications of FDMs in Physics, Chemistry, Biology, Finance and
Engineering.

April 1, 2019: Deadline for Initial Paper Submission.
June 30, 2019: Notification of First Round Decision.
July 30, 2019: Deadline for Revised Paper Submission.
August 30, 2019: Deadline 2nd review decision.
September 30, 2019: Deadline for 2nd revision.
October 30 , 2019: Deadline for final decision.
December 15, 2019: Target publication date.

For details please check the WEBPAGE
https://www.journals.elsevier.com/journal-of-computational-science/call-for-papers/recent-
developments-and-applications-in-computational-scienc


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