NA Digest, V. 19, # 39

NA Digest Sunday, October 13, 2019 Volume 19 : Issue 39


Today's Editor:

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

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From: Martin Eigel martin.eigel@wias-berlin.de
Date: October 10, 2019
Subject: Mathematics of Deep Learning, Germany, Dec 2019


The workshop on "Mathematics of Deep Learning" will take place on 3-5
December at the WIAS Berlin. It aims to provide a topical view on
recent advances regarding mathematical aspects of popular machine
learning approaches, in particular (but not limited to) deep
learning. While the focus lies on theoretical and conceptual research
of network representations, contributions concerned with practical
aspects and non-standard methods are also welcome.

We are pleased to host the following speakers:
* Helmut Bolcskei (ETH Zurich)
* Alexandra Carpentier (Otto von Guericke University Magdeburg)
* Asja Fischer (Ruhr University Bochum)
* Philipp Grohs (University of Vienna)
* Arnulf Jentzen (ETH Zurich)
* Gitta Kutyniok (TU Berlin)
* Anthony Nouy (EC Nantes)
* Ivan Oseledets (Skoltech, Moscow)
* Philipp Petersen (University of Oxford)
* Christoph Schwab (ETH Zurich)
* Ingo Steinwart (University of Stuttgart)
* Miles Stoudenmire (Flatiron Institute, New York)
* Dmitry Yarotsky (Skoltech, Moscow)

Registration details can be found at
https://www.wias-berlin.de/workshops/DL2019/

Please note that due to limited capacity an early registration is
advised.



From: Mehiddin Al-Baali albaali@squ.edu.om
Date: October 12, 2019
Subject: Numerical Analysis and Optimization, Oman, Jan 2020


It is my pleasure to invite you for submitting an abstract to the 5th
Triannual Conference on "Numerical Analysis and Optimization" (NAOV-
2020), held at Sultan Qaboos University, Muscat, Oman, January 6-9, 2020.

REGISTRATION and ABSTRACT SUBMISSION: Registration is required for all
those wishing to attend the conference (available places, particularly
for those outside Oman, are limited). If a participant wishes to
contribute a talk for 20 minutes, an abstract should be submitted
online via the website http://conferences.squ.edu.om/NAOV-2020/home

Abstract Submission Deadline: November 10, 2019.
Registration Deadline: December 10, 2019.

INVITED SPEAKERS: Adil Bagirov (University of Ballarat, Australia),
Oleg Burdakov (Linkoping University, Sweden), Yu-Hong Dai (Chinese
Academy of Science, China), Iain Duff (Rutherford Appleton Laboratory,
UK), Francisco Facchinei (Sapienza University, Italy), Giovanni Fasano
(University of Venice Ca Foscari, Italy), David M. Gay (AMPL
Optimization Inc., USA), Francesca Guerriero (University of Calabria,
Italy), Desmond J. Higham (University of Strathclyde, UK), Michael
Hintermuller (Humboldt-Universitaet zu Berlin, Germany), Sven Leyffer
(Argonne National Laboratory, USA), Nezam Mahdavi-Amiri (Sharif
University of Technology, Iran), Pammy Manchanda (Guru Nanak Dev
University, India), Dominique Orban (Ecole Polytechnique de Montreal,
Canada), Michael Overton (New York University, USA), Amiya Kumar Pani
(Institute of Technology Bombay, India), Janos D. Pinter (Lehigh
University, USA), Cornelis Roos (Delft University of Technology, The
Netherlands), Ekkehard W. Sachs (University of Trier, Germany), Jesus
Maria Sanz-Serna (Universidad Carlos III de Madrid, Spain), Michael
Saunders (Stanford University, USA), Abulhasan Siddiqi (Sharda
University, India), Emilio Spedicato (University of Bergamo, Italy),
Trond Steihaug (University of Bergen, Norway), Tamas Terlaky (Lehigh
University, USA), Philippe L. Toint (University of Namur, Belgium),
Maria Teresa Vespucci (Bergamo University, Italy), Andrew Wathen
(Oxford University, UK), YaXiang Yuan (Chinese Academy of Sciences, China).


From: Nick Hale nickhale@sun.ac.za
Date: October 07, 2019
Subject: Numerical and Applied Mathematics (SANUM2020), South Africa, Mar 2020


Registration is now open for the 44th South African Symposium on
Numerical and Applied Mathematics (SANUM2020) at Stellenbosch
University, South Africa, from 25-27 March 2020. The organisers invite
contributed talks and special sessions in all topics related to
numerical and/or applied mathematics.

SANUM2020 will include a special session in honour of the late Dirk
Laurie.

Confirmed plenary speakers:
* Folkmar Bornemann (Technische Universitat Munchen)
* Annie Cuyt (University of Antwerp)
* Randy LeVeque (University of Washington)
* Lothar Reichel (Kent State University)
* Precious Sibanda (University of Kwazulu-Natal)
* Hugo Touchette (Stellenbosch University)
* Irene Vignon-Clementel (Inria & Sorbonne Universite)

For more information and registration, visit http://sanum.github.io/
or contact the organisers at sanumconf@gmail.com.


From: Martin Vohralik martin.vohralik@inria.fr
Date: October 11, 2019
Subject: Interplay of Discretization and Algebraic Solvers, France, Mar/Apr 2020


We are organizing a workshop on Interplay of discretization and
algebraic solvers: a posteriori error estimates and adaptivity. It
will take place March 30 - April 1 2020 at Inria Paris.

Main topics are a posteriori error estimates and adaptivity for
numerical discretizations of partial differential equations, linear
algebraic solvers, and particularly their interplay (stopping
criteria, design of adaptive h or p refinement under inexact solvers,
design of algebraic solvers on hp grids), as well as h and p
robustness and material properties robustness.

There is no workshop fee. However, registration at apost2020@inria.fr
is compulsory.

All the details can be found at
https://project.inria.fr/gatipor/events/workshop2020/ .


From: Randy LeVeque rjl@uw.edu
Date: October 11, 2019
Subject: Foundations of Computational Mathematics, Canada, Jun 2020


Foundations of Computational Mathematics (FoCM) 2020
Simon Fraser University, downtown Vancouver, Canada
June 15-24, 2020
http://focm-society.org/2020/

FoCM 2020 is the latest edition of the conference series of the FoCM
society. Its aims are to promote research at the interface of
mathematics and computation, and to foster interaction between
mathematics, computer science and other areas of computational
science.

The plenary speakers are: Folkmar Bornemann, Sara van de Geer, Philipp
Grohs, Alice Guionnet, Thomas Hales, Aicke Hinrichs, Kristen Lauter,
Bojan Mohar, Sebastian Reich, Ed Saff, Carola Schoenlieb, Dan
Spielman, Rekha Thomas, Caroline Uhler, Mariel Vazquez, Becca Willett,
Sara Zahedi

FoCM features themed parallel workshops, each spanning a three-day
period, with the conference comprising three periods in total.
Workshop talks are primarily by invitation. There will be sessions
during each of the three periods featuring contributed poster
presentations.

Information about registration and contributed submissions will be
announced shortly.



From: Pamela Bye pam.bye@ima.org.uk
Date: October 11, 2019
Subject: Mathematics of Robotics, UK, Sep 2020


Manchester Metropolitan University, 9-11 September 2020
https://ima.org.uk/11468/ima-conference-on-mathematics-of-robotics/

The IMA Conference on the Mathematics of Robotics aims to bring
together researchers working on all areas of robotics which have a
significant Mathematical content. The idea is to highlight the
Mathematical depth and sophistication of techniques applicable to
Robotics and to foster cooperation between researchers working in
different areas of Robotics. This Conference has been organised in
cooperation with the Society for Industrial and Applied Mathematics
(SIAM).

Areas of interest include, but are not limited to:
Topology. Kinematics. Algebraic topology of configuration spaces of
robot mechanisms. Topological aspects of path planning and sensor
networks. Differential topology and singularity theory of robot
mechanism and moduli spaces. Algebraic Geometry. Varieties generated
by linkages and constraints. Geometry of stiffness and inertia
matrices. Rigid-body motions. Computational approaches to algebraic
geometry. Dynamical Systems and Control. Dynamics of robots and
mechanisms. Simulation of multi-body systems, e.g. swarm
robots. Geometric control of robots. Optimal control and other
optimisation problems. Combinatorial and Stochastic Methods. Rigidity
of structures. Path planning algorithms. Modular robots.
Statistics. Stochastic control. Localisation. Navigation with
uncertainty. Statistical learning theory. Cognitive
Robotics. Mathematical aspects of Artificial Intelligence,
Developmental Robotics and other Neuroscience based approaches.

Call for Papers deadline: 1st March 2020

For technical queries please contact Professor W. Holderbaum
(w.holderbaum@reading.ac.uk)



From: jingmei qiu jingqiu@udel.edu
Date: October 10, 2019
Subject: Department Chair Position, Univ of Delaware


The University of Delaware invites applications and nominations for
the Chair of the Department of Mathematical Sciences. The Department
seeks a Chair enthusiastic about advancing its prominence, furthering
its established scholarly impact, and leading efforts to innovate in
and excel at its extensive teaching role at the University. The
deadline of application is November 1st, 2019; and the expected start
date is August 1, 2020. The Chair is appointed for a renewable
five-year term.

See the link below for more details:
https://www.mathjobs.org/jobs/jobs/14385


From: Tyrone Rees tyrone.rees@stfc.ac.uk
Date: October 11, 2019
Subject: Permanent Research Position, Rutherford Appleton Laboratory


We have a vacancy for a researcher in mathematics at the Computational
Mathematics Group at STFC's Rutherford Appleton Laboratory. As well
as following your own research interests, you will be working
alongside scientists at STFC to identify and overcome numerical
bottlenecks in their software. This role will appeal to an ambitious
and highly motivated numerical analyst who wishes to work in a
research environment as part of one the UK's leading computational
mathematics groups.

RAL's Computational Mathematics Group (http://www.numerical.rl.ac.uk),
home to the HSL and Galahad software libraries, has strengths in
numerical linear algebra and optimisation, and we are looking for a
researcher who compliments and extends our existing skills.

For more information please see
https://www.topcareer.jobs/Vacancy/irc251258_10061.aspx
or contact tyrone.rees@stfc.ac.uk



From: Shan Zhao szhao@ua.edu
Date: October 08, 2019
Subject: Professor Position, Math biology, Univ of Alabama


The Department of Mathematics at The University of Alabama invites
applications for a tenured position at the Professor level, in the
area of mathematical biology, beginning on August 16, 2020 or as
negotiated. The salary for this position will be competitive.

We are seeking an applied mathematician who has outstanding records in
interdisciplinary research areas at the interface of mathematics and
biology. Specific areas of interest include, but are not limited to
biophysics, biomechanics, ecology, neuroscience, physiology, drug
discovery, system biology, and biological data analysis. The
successful candidate is expected to play a significant role in the
recently formed Alabama Life Research Institute
(http://ovpred.ua.edu/alabama-life-research-institute/).

The University of Alabama is a student-centered research university
that is ranked very highly research active by the Carnegie
Classification. With 30 faculty, 43 graduate students, and over 400
undergraduate majors, the Department of Mathematics currently has
active groups in algebra, analysis, topology, applied mathematics,
scientific computing, and mathematical biology. The successful
candidate should have an international reputation for scholarship, a
proven track record of securing external funding, demonstrated
excellence at graduate and undergraduate education, and a willingness
to supervise undergraduate and graduate research. Preference will be
given for someone who will complement existing strengths of the
applied and computational math group.

More details available here: https://facultyjobs.ua.edu/postings/45908


From: Aurelie Labbe aurelie.labbe@hec.ca
Date: October 08, 2019
Subject: Tenure-track or Tenured Professor Position, Financial Engineering


The Department of Decision Sciences at HEC Montreal is seeking highly-
qualified applicants for a full-time, tenure-track or tenured position
in financial engineering beginning June 1, 2020. Rank will be
commensurate with experience and qualifications. The Department of
Decision Sciences at HEC Montreal (www.hec.ca/mqg, in French) offers a
stimulating environment with 28 professors and 4 full- time
lecturers. Department faculty specialize in Financial Engineering,
Optimization and Data Science. They are members of internationally-
recognized research centers (CIRRELT [www.cirrelt.ca], CRM
[www.crm.umontreal.ca], GERAD [www.gerad.ca] and MILA (mila.quebec])
and contribute to the mission of the IVADO institute for data-driven
value creation (www.ivado.ca). HEC Montreal is a world-class business
school. The School offers undergraduate programs as well as graduate
degrees: an MBA, an EMBA, an MSc and a PhD. Courses are mainly taught
in French but also in English and Spanish. The MSc program offers
several specializations including: Data Science and Business
Analytics, Business Intelligence, and Financial Engineering. The PhD
program is offered jointly with McGill University, Concordia
University and UQAM, and includes specializations in Financial
Engineering, Data Science, and Management Science.

Qualifications - Candidates must:
- Have completed or nearly completed a PhD in Financial Engineering,
Mathematics, Statistics, Computer Science, Quantitative Finance, or
a related field.
- Applicants must have demonstrated experience with Financial
Engineering applications.
- Show excellent potential in research, an aptitude to supervise
students at the MSc and PhD levels, and a desire to engage in one of
our research groups.
- Show excellent potential in teaching with demonstrated communication
skills in either French or in English and a clear interest in
becoming competent in both.

Interested candidates should submit online (https://emplois-corps-
professoral.hec.ca/job.php?id=663): a curriculum vitae, a cover
letter, a copy of diplomas, as well as evidence of teaching
effectiveness (if possible) and contact information for at least three
references. While applications will be accepted until the positions
are filled, material should be received by October 15, 2019, in order
to receive full consideration.


From: Aurelie Labbe aurelie.labbe@hec.ca
Date: October 08, 2019
Subject: Tenure-track or Tenured Professor Position, Machine Learning


The Department of Decision Sciences at HEC Montreal is seeking highly
qualified applicants for a tenure-track or tenured position in machine
learning beginning June 1, 2020. Rank will be commensurate with
experience and qualifications. The chosen candidate may be eligible to
receive a Canada CIFAR AI Chair (https://www.cifar.ca/ai/pan-canadian-
artificial-intelligence-strategy), depending on their research
profile. The Department of Decision Sciences at HEC Montreal
(www.hec.ca/mqg, in French) offers a stimulating environment with 28
professors and 4 full- time lecturers. Department faculty specializes
in Data Science (including machine learning and statistics), Financial
Engineering, and Optimization. They are members of internationally
recognized research centers (Mila - Quebec Institute for Learning
Algorithms [mila.quebec], CIRRELT [www.cirrelt.ca], CRM
[www.crm.umontreal.ca], and GERAD [www.gerad.ca]. They also contribute
to the mission of the IVADO institute for data-driven value creation
(www.ivado.ca). HEC Montreal is a world-class business school. The
School offers undergraduate programs as well as graduate degrees: an
MBA, an EMBA, an MSc and a PhD. Courses are mainly taught in French
but also in English and Spanish. The MSc program offers several
specializations including: Data Science and Business Analytics,
Business Intelligence, and Financial Engineering. The PhD program is
offered jointly with McGill University, Concordia University and UQAM,
and includes specializations in Data Science, Financial Engineering,
and Management Science.

Qualifications - Candidates must:
- Have completed or nearly completed a PhD in Computer Science,
Computer or Electrical Engineering, Statistics, Mathematics, or a
related field.
- Have demonstrated experience with machine learning methodology
through publications at top conferences and/or journals in the field
and ideally be interested in applications of machine
learning. Candidates with research interests at the intersection of
machine learning and another field are also encouraged to apply.
- Show excellent potential in research, an aptitude to supervise
students at the MSc and PhD levels, and a desire to engage in one of
our research groups.
- Show excellent potential in teaching with demonstrated communication
skills in either French or in English and a clear interest in
becoming competent in both.

Interested candidates should submit online: a curriculum vitae, a
cover letter, a copy of diplomas, as well as evidence of teaching
effectiveness (if possible) and contact information for at least three
references. While applications will be accepted until the positions
are filled, material should be received by December 15, 2019, in order
to receive full consideration.


From: Pierre Gremaud gremaud@ncsu.edu
Date: October 07, 2019
Subject: Postdoc Position, Randomized numerical analysis, NC State


The Department of Mathematics at NC State University has an open
postdoctoral position under its 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 Ph.D. in mathematics or a closely
related discipline awarded after January 1, 2018. 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 anticipated starting date is August 2020; there is
however some flexibility. 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/jobs/14743. 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: Pierre-Henri Cocquet pierre-henri.cocquet@univ-reunion.fr
Date: October 10, 2019
Subject: Postdoc position, Numerical Analysis, Pau and/or La Réunion, France


This 2-year post-doctoral position is funded by the ANR JCJC project
O- TO-TT-FU. The main objectives of this project are the development
and the study of new mathematical and numerical methods to solve
topology optimization problems, which are PDE-constrained optimization
problems, for convective heat transfer in fluid flows.

The scientific program will start by studying topology optimization
problem targeting solid material with anisotropic and/or
spatially-varying thermal conductivity. A second task will aim to
design and analysis parallel-in-time numerical schemes for topology
optimization problem for unsteady flows.

This position is expected to start at 01/01/2020 or earlier but has a
flexible start date. There is also no teaching requirements.

For more information, please contact: alain.bastide@univ-reunion.fr,
delphine.Ramalingom@univ-reunion.fr and
pierre-henri.cocquet@univ-pau.fr.

To apply, please send your a CV listing educational background,
research experience and publications to
pierre-henri.cocquet@univ-pau.fr.



From: Erin Claire Carson carson@karlin.mff.cuni.cz
Date: October 11, 2019
Subject: Postdoc and PhD Positions, NLA/HPC, Charles Univ, Prague


The research program "Scalable and Accurate Numerical Linear Algebra
for Next-Generation Hardware" within the Faculty of Mathematics and
Physics at Charles University, Prague is seeking to fill a
postdoctoral and multiple phd positions.

Details about the project and application instructions can be found in
the Mathjobs postings:
- PhD positions (deadline November 15):
https://www.mathjobs.org/jobs/jobs/14512
- Postdoc position (tentative deadline October 31, but position open
until filled): https://www.mathjobs.org/jobs/jobs/14513

The PI website can be found here:
https://www.karlin.mff.cuni.cz/~carson/


From: Piotr Matus cmam@degruyter.com
Date: October 07, 2019
Subject: Contents, Computational Methods in Applied Mathematics, 2019 (4)


COMPUTATIONAL METHODS IN APPLIED MATHEMATICS (2019), No 4

Hybrid Discontinuous Galerkin Discretisation and Domain Decomposition
Preconditioners for the Stokes Problem, Barrenechea, Gabriel R. /
Bosy, Michal / Dolean, Victorita / Nataf, Frederic / Tournier,
Pierre-Henri.

A Hybrid High-Order Method for Highly Oscillatory Elliptic Problems,
Cicuttin, Matteo / Ern, Alexandre / Lemaire, Simon.

Operator Learning Approach for the Limited View Problem in
Photoacoustic Tomography, Dreier, Florian / Pereverzyev Jr, Sergiy /
Haltmeier, Markus

Derivative Free Regularization Method for Nonlinear Ill-Posed
Equations in Hilbert Scales, George, Santhosh / Kanagaraj, K.

Maximal Regularity for Fractional Cauchy Equation in Holder Space and
Its Approximation, Liu, Li / Fan, Zhenbin / Li, Gang / Piskarev,
Sergey

Stabilizability of Infinite-Dimensional Systems by Finite-Dimensional
Controls, Raymond, Jean-Pierre

Two Implicit Meshless Finite Point Schemes for the Two-Dimensional
Distributed-Order Fractional Equation, Salehi, Rezvan

Legendre Collocation Method for Volterra Integro-Differential
Algebraic Equation, Wei, Yunxia / Chen, Yanping / Huang, Yunqing

An Optimal Embedded Discontinuous Galerkin Method for Second-Order
Elliptic Problems, Zhang, Xiao / Xie, Xiaoping / Zhang, Shiquan

End of Digest
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