NA Digest, V. 18, # 28

NA Digest Sunday, July 15, 2018 Volume 18 : Issue 28


Today's Editor:

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

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From: Silvia Gazzola S.Gazzola@bath.ac.uk
Date: July 12, 2018
Subject: IR Tools, MATLAB package for Iterative Regularization


We are pleased to announce the release of IR Tools, a new MATLAB
software package of iterative regularization methods and test problems
for large-scale linear inverse problems.

This software can be obtained from:
https://github.com/jnagy1/IRtools .
A report describing the main features of the software, as well as
examples of its usage, can be found at:
http://arxiv.org/abs/1712.05602 .

This software package serves two related purposes: we provide
implementations of a range of iterative solvers, including several
recently proposed methods that are not available elsewhere, and we
provide a set of large-scale test problems in the form of
discretizations of 2D linear inverse problems.

All the iterative methods are implemented in a very flexible fashion
that allows the problem's coefficient matrix to be available as a
(sparse) matrix, a function handle, or an object. The most basic call
to all of the various iterative methods requires only this matrix and
the right hand side vector; if the method uses any special stopping
criteria, regularization parameters, etc., then default values are set
automatically by the code. Moreover, through the use of an optional
input structure, the user can also have full control of any of the
algorithm parameters. The test problems represent realistic
large-scale problems found in image reconstruction and several other
applications. The size, and other parameters, of these problems can be
chosen by the user.



From: Mari Paz Calvo maripaz@mac.uva.es
Date: July 11, 2018
Subject: New Book, Numerical Hamiltonian Problems


The book Numerical Hamiltonian Problems (J.M. Sanz-Serna & M.P.
Calvo) has now appeared in a Dover edition. ISBN: 978-0-486-82410-9.

Further information can be found in the website:
http://store.doverpublications.com/0486824101


From: Gerd Baumann gerd.baumann@guc.edu.eg
Date: July 15, 2018
Subject: Symposium Honoring Frank Stenger's 80th, Greece, Sep 2018


I like to draw your attention to our special symposium in honor of
Frank Stenger's 80th birthday. The symposium takes place within the
frame of ICNAAM 2018 at Rhodes, Greece, during the period September
13th till 18th, 2018.

Talks are welcome and will be published in a special volume dedicated
to Frank's anniversary. We also accept contributions to the special
volume published by Springer.

If you like to join at Rhodes you need to register your talk via the
ICNAAM 2018 web site: http://icnaam.org/

Send me a short notice including your title and a few words for an
abstract.

Information on accommodation and travel are also available from the
sites
http://icnaam.org/accomodation.htm
http://icnaam.org/transfers



From: Susanne Brenner brenner@math.lsu.edu
Date: July 12, 2018
Subject: ICERM Mathematics of Computation, USA, Nov 2018


Announcing a Symposium Celebrating 75 Years
of Mathematics of Computation
ICERM, November 1-3, 2018

The year 2018 marks the 75th anniversary of the founding of
Mathematics of Computation, one of the four printed research journals
of the American Mathematical Society and the oldest research journal
devoted to computational mathematics. The symposium will celebrate
this event with invited lectures and poster presentations that reflect
the spectrum of research covered by Mathematics of Computation at this
juncture of its illustrious history.

The first day of the symposium (November 1) is devoted to discrete
areas and the other days (November 2-3) are devoted to continuous
areas. A reception will be held on November 1.

Confirmed invited speakers: Douglas Arnold (U. Minnesota), Andrea
Bertozzi (UCLA), Wolfgang Damen (U. South Carolina), Qiang Du
(Columbia), Betinna Eick (TU Braunchweig), Bjorn Enquist (UT Austin),
Vivette Girault (Paris VI), Frances Kuo (U. New South Wales), Gunter
Malle (TU Kaiserslautern), Peter Monk (U. Delaware), Richardo Nochetto
(U. Maryland), Andrew Odlyzko (U. Minnesota), Stanley Osher (UCLA),
Carl Pomerance (Dartmouth), Yousef Saad (U. Minnesota), Renate
Scheidler (U. Calgary), Rene Schoof (U. Rome), Jie Shen (Purdue),
Chi-Wang Shu (Brown), Olof Widlund (Courant), Paul Zimmermann (INRIA).

All participants will have the opportunity to present their work with
posters. Application information can be found at
https://icerm.brown.edu/topical_workshops/tw18-7-ymc/



From: Pamela Bye pam.bye@ima.org.uk
Date: July 10, 2018
Subject: IMA Mathematical Challenges of Big Data, UK, Dec 2018


3RD IMA CONFERENCE ON
THE MATHEMATICAL CHALLENGES OF BIG DATA
Monday 10th - Tuesday 11th December 2018
Double Tree by Hilton Hotel London - West End

Data-driven analysis is increasingly on the critical path for
performance advantage in many organisations, both public and
commercial. This raises continuous challenges for rigorous analysis
to derive reliable insights from data at very large scale, often with
potential artefacts and sampling bias, adding to change
variation. This conference brings together researchers and
practitioners to signpost developments in the state-of-the-art and
find common ground where theory and practice meet to maximise impact
in the digital economy. It is a forum for networking and to showcase
the very latest research in a broad range of topics. Each session
will feature an invited talk by an expert speaker.

Invited Speakers: Sofia Olhede, UCL; Coralia Cartis, Oxford
University; Christian Steinruecken, Cambridge University; Armando
Vieira, Direct Line; Noel-Ann Bradshaw and Serge Plata, Sainsbury's
Argos

Papers will be accepted for the conference based on a 300-500 word
abstract for oral or poster presentation. We welcome abstracts to be
submitted by Friday 28 September 2018 via https://my.ima.org.uk.
Please indicate whether your title is intended for oral or poster
presentation. Note: If you are an IMA Member or you have previously
registered for an IMA conference, then you are already on our
database. Please :request a new password" using the email address
previously used, to log in.

For further information, please visit the conference webpage:
https://ima.org.uk/9104/3rd-ima-conference-on-the-mathematical-challenges-of-big-data/



From: Luke Olson lukeo@illinois.edu
Date: July 10, 2018
Subject: SIAM Computational Science and Engineering, USA, Feb 2019


As co-chairs of the SIAM CSE19 Conference, we're writing to encourage
you to submit proposals for minisymposia and minisymposteria,
abstracts for minisymposium and contributed talks, and poster
abstracts. We also encourage students, postdocs, and early career
researchers to apply for travel grants. The deadlines are coming up
soon!

SIAM Conference on Computational Science and Engineering (CSE19)
Spokane Convention Center, Spokane, Washington, USA
February 25-March 1, 2019

Plenary Speakers
Alistair Adcroft, National Oceanic and Atmospheric Administration
Anima Anandkumar, Amazon and California Institute of Technology
Maryam Fazel, University of Washington
Michael C. Ferris, University of Wisconsin-Madison
Boyce E. Griffith, University of North Carolina-Chapel Hill
Laura Grigori, INRIA Paris
Gianluigi Rozza, SISSA University
Rachel A. Ward, University of Texas at Austin and Facebook

The Call for Presentations for this conference is available at:
https://www.siam.org/conferences/CM/sd/cse19-submissions-deadlines

Twitter hashtag: #cse19

July 25, 2018: Minisymposium Proposal Submissions
August 22, 2018: Contributed Lecture, Minisymposia, Poster and
Minisymposteria Presentation Abstracts
August 8, 2018: SIAM Student Travel Award and Post-doc/Early Career
Travel Award Applications***

Please visit http://www.siam.org/meetings/cse19/submissions.php for
detailed submission information.

For additional information, contact the SIAM Conference Department
(meetings@siam.org).


From: Sorin Pop sorin.pop@uhasselt.be
Date: July 11, 2018
Subject: SIAM Mathematical and Computational Issues in the Geosciences, USA, Mar 2019


The next SIAM Mathematical and Computational Issues in the Geosciences
will be held in Houston (US), March 11-14 2019. You are warmly welcome
to join and submit a contribution (poster or presentation format) or
to organise a minisymposium. For more information, please, visit
https://www.siam.org/conferences/CM/Main/gs19


From: Stephen L Campbell slc@ncsu.edu
Date: July 09, 2018
Subject: Faculty Position, (Financial) Mathematics, NC State Univ


The Mathematics Department at North Carolina State University invites
applications for a tenure track position to work with our Financial
Mathematics program. We are seeking exceptionally well-qualified
individuals with research interests compatible with those in the
department. All areas of financial mathematics broadly defined
including Applied Probability and Stochastic Processes and their
computational aspects will be considered. Candidates must have a PhD
in the mathematical sciences or related area. Successful professional
experience past the PhD is required. The successful applicant must
have an internationally recognized research program, demonstrated
ability to attract external funding, a strong record of mentoring PhD
students and post-docs, and a commitment to effective teaching at the
undergraduate and graduate levels. The position level is open-rank and
depends on the experience and accomplishments of the applicant. The
Department of Mathematics has strong research programs in both pure
and applied mathematics. Many members of the department participate in
interdisciplinary programs and research groups on campus and in the
broader Research Triangle community including the Statistics
Department in the same building. More information about the
Mathematics Department can be found at http://math.sciences.ncsu.edu
and about the Financial Mathematics Program at
https://financial.math.ncsu.edu.

Submit application materials at http://www.mathjobs.org/jobs/ncsu.
Include a curriculum vita, at least three letters of recommendation,
and a description of current and planned research. Applications
received by November 1, 2018, will receive full consideration.

Write to math-jobs@math.ncsu.edu for questions concerning this
position.

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. NC State University is 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. The university is responsive to the needs of dual
career couples. The university is responsive to the needs of dual
career couples. Individuals with disabilities requiring
disability-related accommodations in the application and interview
process, please call 919-515-3148.



From: Stefan Vandewalle stefan.vandewalle@kuleuven.be
Date: July 10, 2018
Subject: Faculty Position, KU Leuven, Belgium


Faculty Position on Numerical Methods in Data Science
Research Unit Numerical Analysis and Applied Mathematics
KU Leuven, Belgium

The research unit NUMA, Department of Computer Science, KU Leuven
invites applications for a full-time faculty position. The research
unit develops numerical methods, algorithms and software for
simulation and data analysis, with applications in many fields in
science and engineering. Research topics include numerical linear
algebra, numerical methods for data analytics, model order reduction,
control and optimization methods, multi-scale modelling and
simulation, high performance computing, and uncertainty propagation.

The new position will complement the existing expertise on numerical
methods and its applications of the NUMA Section, and will focus on
new application modelling techniques and on new numerical algorithms
and computational mathematics for Data Science. The position will aim
at translating real-world problems to mathematical engineering models,
and will be driven by practical applications and data-sets from the
industry.

For further details, contact information and a description of the
application procedure follow the link:
https://www.kuleuven.be/personeel/jobsite/jobs/54589509?hl=en&lang=en

For more information, please contact the head of the department,
Ronald Cools, or the head of the research unit, Dirk Roose.



From: Pierre Gremaud gremaud@ncsu.edu
Date: July 09, 2018
Subject: Postdoc Position, Randomized Numerical Analysis, NC State


The Department of Mathematics at NC State University has an open
postdoctoral position under its new NSF funded Research Training Group
RTG, DMS-1745654 in Randomized Numerical Analysis. The position is
restricted to US citizens, nationals and permanent residents. The
postdoctoral associate must hold a PhD in mathematics or a closely
related discipline awarded after January 1, 2017. An exception to this
rule, occasioned for instance by a career interruption, may be
requested in the cover letter.

The postdoctoral associate is expected to engage in research related
to at least one of the three complementary research thrusts of the
project in randomized numerical linear algebra, random nonlinear
solvers and global sensitivity analysis. Strengths in applied
probability, numerical analysis and scientific computing are an
asset. Based on background, experience and interests, the postdoc will
be assigned one research mentor from the faculty associated with the
RTG: Alen Alexanderian, Pierre Gremaud, Ilse Ipsen, Tim Kelley, Arvind
Saibaba and Ralph Smith. An academic mentor will be chosen from this
group to oversee the postdoc's training and professional
development. The postdoc will also play a leading role in mentoring
students associated with some of the project's working groups; he/she
will be expected to assist in organizing seminars and activities
related to the general research of the RTG. In addition, the postdoc
will teach on average one course per semester in the Department of
Mathematics.

This position is for a term of up to three years, contingent upon
performance. The starting date is anticipated between January and
August 2019. The 11 month salary of $62,500 includes summer
support. In addition, the postdoc will be given an annual travel
budget of $3,000.

Submit your application materials (cover letter, a CV, a research
statement and the names of at least three potential letter writers)
through mathjobs.org at
https://www.mathjobs.org/jobs?joblist-177-12087. Women and members of
under-represented minority groups are particularly encouraged to
apply. Applications will be evaluated on a rolling basis until the
position is filled; please apply as soon as possible. Inquiries may be
directed to Pierre Gremaud (RTG Director): gremaud@ncsu.edu.



From: Graduate School AICES schiffers@aices.rwth-aachen.de
Date: July 09, 2018
Subject: Doctoral Positions, Modern Inverse Problems, RWTH Aachen Univ


The International Research Training Group (IRTG) "Modern Inverse
Problems: From Geometry and Data to Models and Applications" (MIP) at
RWTH Aachen University offers 13 doctoral positions for a three-year
structured program. The positions are funded by the German Research
Foundation (DFG) at the payscale TVL 13 (100%). Funding is for 3
years, starting on October 1st, 2018.

MIP currently offers open positions in the research fields of: 1)
Novel Stabilized Finite-Element Methods for Microstructured and
Complex Fluids; 2) Computational Tools for Chemical Imaging; 3)
Model-Based Generation of Linear Algebra Software; 4) Boundary
Conforming Smooth Spline Spaces for Isogeometric Analysis; 5)
Metric-Based Anisotropic Adaptation for Optimal Petrov-Galerkin
Methods; 6) Methods for Demand-Side-Management in Process and Chemical
Industry; 7) Numerical Reconstruction Techniques for the Boltzmann
Equation; 8) Model Order Reduction for Goal-Oriented Bayesian
Inversion; 9) Model-Controlled Bayesian Inversion for Geophysical
Inverse Problems

Requirements: A Master degree (or an equivalent degree) in a relevant
field; Transcripts for the Bachelor and Master's degrees; Excellent
written and oral communication skills in English. Knowledge of German
is not expected.

All applications must include the following documents:
- curriculum vitae
- statement of purpose
- transcript(s) and degree(s) from universities previously attended
- at least two letters of recommendation
- TOEFL score or other evidence of English skills

Please submit your application as a PDF via e-mail with subject "IRTG
2379 Admission" and your preferred research topic, to:
admission@aices.rwth-aachen.de

For further information, see
https://www.aices.rwth-aachen.de/en/irtg/about-irtg



From: Cornelia Böhnstedt cornelia.boehnstedt@fu-berlin.de
Date: July 12, 2018
Subject: PhD Positions, PharMetrX - Germany, Berlin/Potsdam


Call for applications within the interdisciplinary PhD program
PharMetrX. The Graduate Research Training Program PharMetrX:
Pharmacometrics & Computational Disease Modelling is an
interdisciplinary PhD program bridging pharmacy and mathematics. It
aims at understanding the drug-patient-disease interaction by
analysing data of drug concentration, effect and disease profiles of
pre-clinical/clinical trials and of therapeutic care.

We are currently inviting applications to start the PharMetrX
Research+ Program or the PharMetrX Training+ Program.

The PharMetrX Research+ Program (Research + Training + Network)
comprises an excellent research environment in the vibrant
Berlin/Potsdam area, fascinating and innovative research projects in a
highly relevant field, truly transdisciplinary supervision, an
individual mentorship from one of the industry partners, a
specifically tailored training program of compact modules, a network
of peers and a highly competitive 3.5 years fellowship.

The PharMetrX Training+ Program (Training + Network) offers a
specifically tailored training program of compact modules that convey
the foundations in pharmacokinetics & pharmacodynamics, systems
biology, statistics etc. as well as a network of peers. It is open for
PhD students who have already started their PhD in the field of
pharmacometrics or will do so soon.

Both programs are open to candidates with a university degree in
pharmacy, mathematics/ statistics, bioinformatics, life sciences or
medicine. See https://www.PharMetrX.de for further details.

Deadline for applications: September 15th, 2018.

PharMetrX is a joint program of Freie Universitat Berlin and the
Universitat Potsdam, supported by a consortium of global
research-driven pharmaceutical companies.



From: Lars Ruthotto lruthotto@emory.edu
Date: July 13, 2018
Subject: PhD Positions, Scientific Computing, Emory Univ, Atlanta


Several PhD positions in scientific computing are available in the
Department of Mathematics at Emory University. Numerical Analysis and
Scientific Computing are among the department's key focus areas. Our
graduate program focuses on numerical linear algebra, partial
differential equations, optimization, inverse problems and offers
excellent research opportunities in these areas and opportunities for
interdisciplinary collaborations with leading experts from a variety
of disciplines including cardiology, radiology, biostatistics,
biomedical engineering, geophysics, and machine learning.

For PhD students in Mathematics, a number of five-year scholarships
are available. International students are encouraged to apply, and
successful candidates will receive visa sponsorship. Incoming students
are required to have a BSc degree in mathematics, computer science, or
a related field. Applicants with MSc degrees are welcome to apply for
admission as 'advanced standing.'

More information can be found at
http://www.mathcs.emory.edu/Research/Area/ScientificComputing/

Interested candidates should contact compmathphd@emory.edu
All applicants must submit an application package consisting of:
(1) curriculum vitae and transcripts
(2) statement of purpose
(3) a minimum of two letters of reference

Review of applications will begin immediately and continue until the
positions are filled. Anticipated start date is September 1, but other
options, such as January 1, are possible.



From: Charis Edworthy charis.edworthy@oup.com
Date: July 13, 2018
Subject: Contents, Information and Inference: A Journal of the IMA, 7 (2)


Contents, Information and Inference: A Journal of the IMA, 7 (2)

Information and Inference: A Journal of the IMA
This issue is available at http://bit.ly/2Lf7YBN

When is non-trivial estimation possible for graphons and stochastic
block models? Audra McMillan and Adam Smith

Algorithms for learning sparse additive models with interactions in
high dimensions, Hemant Tyagi, Anastasios Kyrillidis, Bernd Gartner,
and Andreas Krause

Weighted mining of massive collections of P-values by convex
optimization, Edgar Dobriban

Fast, robust and non-convex subspace recoverygraphic, Gilad Lerman and
Tyler Maunu


End of Digest
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