NA Digest, V. 19, # 40

NA Digest Sunday, October 20, 2019 Volume 19 : Issue 40


Today's Editor:

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

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From: Ron Boisvert boisvert@nist.gov
Date: October 20, 2019
Subject: Passing of Bill Mitchell


I am saddened to have to report that William F. Mitchell died on
October 15, 2019 at age 64 after a year-long struggle with
cancer. Bill retired in 2018 following 25 years of service to the
Applied and Computational Mathematics Division of the US National
Institute of Standards and Technology in Gaithersburg, MD. Bill was a
fixture in the multigrid and adaptive grid refinement research
communities.Over his career he published 50 technical papers and gave
more than 100 talks. He was the author of several well-engineered and
widely distributed software packages, including GENCOL, MGGHAT, PHAML,
and f90gl. And, his experimental comparisons of the many techniques
for h and hp adaptive refinement published in ACM TOMS have provided
valuable guidance to mathematical software developers. A full
accounting of Bill's technical accomplishments can be found on his web
page, https://math.nist.gov/~WMitchell. Outside of work, Bill was an
avid vegetable gardener, bowler, and home brewer. He was also an
accomplished hammered dulcimer player. He and his wife Becky of 35
years (on the violin) were also a performing duo known as Peat and
Barley, who entertained at weddings and wineries. Peat and Barley
produced several CDs of music, some of which are still available; see
http://www.peatandbarley.com/. Bill will be fondly remembered not only
for his scientific contributions, but for the joy he brought to his
many friends and colleagues.


From: Nils-Arne Dreier n.dreier@uni-muenster.de
Date: October 19, 2019
Subject: Ext Deadline, Advanced Solvers for Modern Architectures, Germany, Nov 2019


7th Applied Mathematics Symposium Munster
Advanced Solvers for modern Architectures 2019
November 11-13, 2019
Munster, Germany
https://www.uni-muenster.de/AMM/num/solvers2019/

EXTENDED DEADLINE: 27th October

For exascale applications an increasing communication overhead and as
well as local concurrency pose the major challenges to obtain a
significant portion of the overall peak performance. In the last years
these problems have gained a lot of attention and different techniques
were developed to improve the scalability of linear and non-linear
solvers. This workshop wants to gather experts to discuss topics like

communication avoiding Krylov methods
asynchronicity in solvers
non-linear preconditioning
strong preconditioners (GMG and DD)
blocked and enriched Krylov methods.

All these approaches aim at increasing local costs and reducing or
hiding global communication costs, which will contribute to better
scalability.



From: Pamela Bye pam.bye@ima.org.uk
Date: October 18, 2019
Subject: Cryptography and Coding, UK, Dec 2019


16 - 18 December 2019, St Anne's College, University of Oxford

The mathematical theory and practice of both cryptography and coding
underpins the provision of effective security and reliability for data
communication, processing and storage. This seventeenth International
Conference in an established and successful IMA series on the theme of
"Cryptography and Coding" solicits presentations on all technical
aspects of cryptography and coding. Website Link:
https://tinyurl.com/IMACRYPTOANDCODING

Registration is open via https://my.ima.org.uk/ and will close by 12pm
on Friday 13 December, for any enquiries after this date please
contact the Conferences Team. 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.

Invited speakers: Cas Cremers (CISPA Helmholtz Center for Information
Security, Germany); Nadia Henninger (University of California, San
Diego); Clementine Maurice (French National Centre for Scientific
Research (CNRS), France); Francesca Musiani (French National Centre
for Scientific Research (CNRS), France)



From: Felix Kwok felix_kwok@hkbu.edu.hk
Date: October 20, 2019
Subject: Domain Decomposition Methods, Hong Kong, China, Dec 2019


DD26: Registration closing soon, preliminary schedule available

The 26th International Conference on Domain Decomposition Methods
(DD26) will be held at the Chinese University of Hong Kong (CUHK) from
December 2 to 6, 2019. The purpose of the conference is to bring
together mathematicians, computational scientists and engineers who
work in the main themes of Domain Decomposition, including
theoretical, algorithmic and implementation aspects of domain
decomposition methods, solvers for multiphysics problems,
parallel-in-time methods, multigrid and multilevel methods, fast
solvers and preconditioning, and applications of such methods in
physics and engineering.

This is a gentle reminder that registration will close on October 31,
2019. We ask that speakers and poster presenters make sure that they
are registered by that date, as we will be obliged to remove
unregistered speakers from the schedule.

To help participants make travel arrangements, we have posted a
preliminary schedule of the conference on our website at
https://www.math.cuhk.edu.hk/conference/dd26/?Conference-Home

Please also note that the block of rooms held at the conference hotels
will be released on November 4. If you wish to stay at one of those
hotels at the group rate, please make your reservations before that
date.



From: George Biros gbiros@oden.utexas.edu
Date: October 15, 2019
Subject: Ext Deadline, SIAM Parallel Processing, USA, Feb 2020


The SIAM Conference on Parallel Processing for Scientific Computing
2020 (SIAM PP20) and the SIAM Activity Group on Supercomputing
(SIAG-SC) has extended the deadline for poster submissions on parallel
algorithms, scalable scientific computing, simulation, visualization,
and machine learning. The new deadline is December 31st.

Posters can be submitted using the link below:
https://meetings.siam.org/start.cfm?CONFCODE=PPPO

The SIAM PP conference series focuses on the design of numerical and
discrete algorithms in the context of modern parallel computer
architectures, covering both theory and practice. SIAM PP20 will take
place on February 12-15, 2020 in Seattle.
https://www.siam.org/Conferences/CM/Conference/pp20


From: Santiago Badia santiago.badia@monash.edu
Date: October 13, 2019
Subject: Numerical Differential Equations, Australia, Feb 2020


The School of Mathematics at Monash University (Melbourne, Australia)
will run the Monash workshop on Numerical Differential Equations and
Application on 10-14 February 2020. The goal of this workshop is to
bring together researchers developing, analysing or using numerical
methods for differential equations. Topics covered in the workshop
include, but are not limited to: equations with random input, finite
element methods, high-order schemes, adaptive methods, non-linear
problems, sparse grids, Monte- Carlo methods, Bayesian computations,
linear solvers, and various applications (fluid-structure
interactions, chemistry, biology...), etc.

The workshop will have keynote presentations and contributed
talks. Full details can be found at
http://users.monash.edu/~jdroniou/MWDEA/

Registration and abstract/title submission is open till January 10,
2020. Student support to participate in the conference will be
available, with details confirmed at a later date.


From: Benjamin Uekermann b.w.uekermann@tue.nl
Date: October 20, 2019
Subject: preCICE Workshop, Germany, Feb 2020


The library: preCICE is an open-source coupling library for
partitioned multi-physics simulations, including, but not restricted
to fluid-structure interaction and conjugate heat transfer
simulations. Coupling adapters exist for OpenFOAM, CalculiX,
Code_Aster, FEniCS, deal.II, and many more.

The workshop: 1st international preCICE Workshop on February 17-18,
2020 at the Technical University of Munich (campus Garching)

After meeting you at invited sessions in conferences around Europe, it
is time that we meet at home, where everything started. In the two
(core) days of the Workshop, we plan to have talks by users and
developers of the preCICE coupling library, presenting challenging
applications, latest features, as well as the foundations. Join us
also the day before and after for social events and hands-on user
support.

Call for contributions: We are looking for talks focusing on coupling
aspects that can be transferred among different application fields,
preCICE adapters, and more preCICE-related topics (please avoid pure
application-specific talks). The allocated time is not yet fixed, but
will vary between 15-25 minutes.

Please submit a short abstract by November 15 on
https://www.precice.org/preCICE2020/.

Work in progress? Your talk is also welcome!

This is a no-profit, academic conference. A big "thank you" to SPPEXA
(http://www.sppexa.de/) for the financial support of the Workshop! We
are able to provide a small number of travel grants to (PhD) students
who would not be able to join otherwise.


From: Christoph Lehrenfeld lehrenfeld@math.uni-goettingen.de
Date: October 15, 2019
Subject: GAMM Annual Meeting, Germany, Mar 2020


91st GAMM Annual Meeting
March 16-20, 2020
University of Kassel, Germany
https://jahrestagung.gamm-ev.de/index.php/2020/2020-annual-meeting

The 91st GAMM Annual Meeting will be hosted by the University of
Kassel. Deadline for abstract submissions: November 30, 2019.
Please see the conference website listed above for submission details,
travel information, and registration.


From: NumPDEs numpdes@gmail.com
Date: October 19, 2019
Subject: Numerical Methods for Partial Differential Equations, Morocco, Mar-Apr 2020


Fourth Spring School on Numerical Methods for Partial Differential
Equations, Tetouan, Morocco March 30 - April 3, 2020
http://fst.uae.ma/NumPDEs2020/

It is my honour on behalf of the organizing committee to invite you to
participate in the fourth spring school on numerical methods for
partial differential equations (http://fst.uae.ma/NumPDEs2020/) which
will be held in Tetouan, Morocco from March 30 - April 3, 2020.

This spring school on Numerical Methods for Partial Differential
Equations is aimed at master students, PhD students, recent PhD
doctorates, and researchers in general willing to update their
knowledge with recent developments on numerical techniques that play
an important role in the international scene. As this type of
equations appears in the mathematical modelling of many physical
phenomena, researchers coming from different fields (mathematics,
physics, engineering, biology, economy, etc) can be interested.

This spring school intends to bring together students and younger
researchers from different mathematical and engineering schools and to
offer an environment to acquire basic and more advanced techniques in
the field of numerical methods for partial differential equations. In
a series of six courses, consisting of 3-4 lectures plus a computer
lab-session, each of six international experts will give an
introduction and present new analytical as well as numerical results
on topics of recent interest. In order to enable an intensive
exchange, to enhance the communication and lasting relationships, all
the participants are encouraged to present their own work in a short
talk or with a poster.


From: Ivan Slapnicar ivan.slapnicar@fesb.hr
Date: October 19, 2019
Subject: Accurate Solution of Eigenvalue Problems, Croatia, Jun 2020


Intl. Workshop on Accurate Solution of Eigenvalue Problems XI
(IWASEP XI) Dubrovnik, Croatia, June 22 - 25, 2020

Abstract Deadline: May 1, 2020.
Registration Deadline: May 1, 2020.

The original themes of this workshop arose in the intersection of two
fields, matrix eigenvalue/singular value computations, and, more
generally, fast and accurate matrix computations. During time the
scope of the workshop has expanded to include optimal control of
dynamical systems and large scale and nonlinear eigenvalue problems,
as well as related problems for more general operators. The organizers
encourage submissions for presentations or posters that relate to
either the above themes, as well as those closely related.

This is the eleventh such workshop, whose purpose is to bring together
experts for four days of research presentations and discussions. This
workshop will be held in the Center for Advanced Academic Studies in
Dubrovnik.

For more information see http://iwasep11.fesb.unist.hr


From: Arnaud Tisserand arnaud.tisserand@univ-ubs.fr
Date: October 15, 2019
Subject: Computer Arithmetic, USA, Jun 2020


CALL FOR PAPERS, ARITH-2020
27th IEEE Symposium on Computer Arithmetic
June 7 - 10, 2020, Portland, OR, USA
http://www.arithsymposium.org

Since 1969, the ARITH symposia have served as the flagship conference
for presenting scientific work on the latest research in computer
arithmetic. Computer arithmetic is now driving the most important
innovations and product directions in our industry, such as artificial
intelligence and security. Authors are invited to submit papers
describing recent advances on all aspects related to computer
arithmetic, its applications or implementations. This includes, but is
not restricted to, the following topics:

Foundations of number systems and arithmetic; Arithmetic processor
design and implementation; Arithmetic algorithms and their analysis;
Floating-point units, algorithms, and numerical analysis; Elementary
and special function implementations; Test, validation, and formal
verification techniques for arithmetic implementations;
Power-efficient or low-energy arithmetic units and processors;
Industrial implementation of arithmetic units and processors;
Fault/error-tolerance in arithmetic implementations;; Arithmetic for
FPGAs and reconfigurable logic; Design automation for computer
arithmetic implementations; Arithmetic, datapath design and numerics
for artificial intelligence, machine/deep learning; Arithmetic for
approximate computing; Computer arithmetic for security and
cryptography; Arithmetic to enhance accuracy or reliability
(multiple-precision, interval arithmetic, ...); Arithmetic challenges
in HPC and exascale computing (accuracy, reproducibility, ...);
Arithmetic for specific application domains (big-data analytics,
signal processing, computer graphics, multimedia, computer vision,
finance, ...); Computer arithmetic in emerging technologies;
Non-conventional computer arithmetic and applications

An abstract submission deadline has been set to January 8th. This
initial submission must include title, author(s), keywords and
abstract. The full paper is due on January 22nd.
Submission site: https://easychair.org/conferences/?conf=arith2020

Formatting instructions:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html


From: Fran Moshiri fran@rice.edu
Date: October 16, 2019
Subject: Tenure-Track Faculty Positions, Rice Univ


The Department of Computational and Applied Mathematics (CAAM) at Rice
University in Houston, Texas, seeks outstanding candidates for two
positions: one in continuous optimization and a second in either 1)
applied probability, or 2) numerical linear algebra with strong
applications in data science. We expect to hire at the rank of
tenure-track assistant professor; we will consider exceptional
candidates at higher ranks.

To receive full consideration, the complete application must be
received by December 15, 2019, but the committee may consider
applications filed after that date. Employment can begin July 1, 2020.

To see the full ad and apply for the position, please follow this
link: https://www.mathjobs.org/jobs/jobs/14811



From: Sheila Shull sheila@caltech.edu
Date: October 15, 2019
Subject: Tenure-track Faculty Position, Caltech


The Computing and Mathematical Sciences (CMS) Department at the
California Institute of Technology (Caltech) invites applications for
tenure-track faculty positions in all areas of applied mathematics,
computer science, and related disciplines.

Areas of interest include (but are not limited to) algorithms, data
assimilation and inverse problems, dynamical systems and control,
geometry, machine learning, mathematics of data science, networks and
graphs, numerical linear algebra, optimization, partial differential
equations, probability, scientific computing, statistics, stochastic
modeling, and uncertainty quantification. Application foci include
computational physical and life sciences, distributed systems,
economics, graphics, quantum computing, and robotics and autonomous
systems. The CMS Department is part of the Division of Engineering and
Applied Science (EAS), comprising researchers working in and between
the fields of aerospace, civil, electrical, environmental, mechanical,
and medical engineering, as well as materials science and applied
physics. The Institute as a whole represents the full range of
research in biology, chemistry, engineering, physics, and the social
sciences.

A commitment to world-class research, as well as high-quality teaching
and mentoring, is expected, and appointment as an assistant professor
is contingent upon the completion of a PhD degree in applied
mathematics, computer science, engineering, or the sciences. The
initial appointment at the assistant professor level is four years and
is contingent upon completion of a PhD degree. Reappointment beyond
the initial term is contingent upon successful review conducted prior
to the commencement of the fourth year.

Applications will be reviewed beginning 15 November 2019 but all
applications received before 15 January 2020 will receive full
consideration. For a list of documents required, and full
instructions on how to apply online, please visit
https://applications.caltech.edu/jobs/cms. Questions about the
application process may be directed to search@cms.caltech.edu.


From: Naoki Saito saito@math.ucdavis.edu
Date: October 17, 2019
Subject: Tenure-track Position, Mathematics of Data Science, UC Davis


The Department of Mathematics at the University of California, Davis
invites applications for one Assistant Professor (tenure-track)
faculty position starting July 1, 2020. This position is in the area
of the mathematics of data science. Minimum qualifications for the
position include a Ph.D. or its equivalent in the Mathematical
Sciences or a related field and demonstrated potential for performance
in teaching and research. The Ph.D. should be obtained by the
beginning of Fall quarter. Duties include mathematical research,
undergraduate and graduate teaching, and departmental, university and
professional service.

Applications include: Cover Letter, CV, Research Statement, Teaching
Statement, Letters of Reference and a Statement of Contributions to
Diversity. Additional information about the Department may be found at
http://www.math.ucdavis.edu.

Applications will be accepted until the position is filled. To
guarantee full consideration, the application should be received by
November 15, 2019. The application is available through UCRecruit @
https://recruit.ucdavis.edu/JPF02958.

The University of California, Davis, is an affirmative action/equal
opportunity employer with a strong institutional commitment to the
achievement of diversity among its faculty and staff.


From: Jeanne Meyers jemeyers@mtu.edu
Date: October 18, 2019
Subject: Assistant Professor Position, Computational Mathematics, Michigan Technological Univ


Michigan Technological University
Department of Mathematical Sciences
Tenure-track Position in Computational Mathematics

Applications are invited for a tenure-track Assistant Professor
position in Computational Mathematics. All research areas in
Computational Mathematics will be considered, but candidates with
expertise in areas related to data science (e.g., randomized numerical
linear algebra, stochastic optimization, etc.) are especially
encouraged to apply. The position is expected to be filled at the
rank of Assistant Professor, but highly qualified candidates may be
considered for appointment as Associate Professor.

Required qualifications for this position are a PhD in Mathematics or
a related field, a strong research program, and potential for
excellence in classroom teaching.

The complete posting can be found on Mathjobs.org.


From: Sorin Mitran mitran@unc.edu
Date: October 17, 2019
Subject: Assistant Professor Position, Data Science, Mathematics, Univ of North Carolina


The Department of Mathematics at the University of North Carolina at
Chapel Hill invites applications for a tenure-track assistant
professor targeting expertise in the mathematical foundations and
computational and translational applications of data science. The
Department seeks applicants with a demonstrated potential for
excellence in research, teaching at the graduate and undergraduate
level, and a commitment to cross-disciplinary and cross-cultural
collaboration and outreach. The mathematical foundations of data
science are broadly construed and may include approaches spanning
topology, geometry, optimization, and diverse aspects of analysis
relevant to data science. Computational and translational applications
are also broadly construed. We are casting a broad net in search of
highly talented individuals who aspire to integrate their expertise
with Departmental and campus-wide strengths, and who are committed to
securing strong external funding support. A PhD degree in
mathematics, applied mathematics, or a closely related field is
required at the time of appointment.

Demonstrate the potential for excellence in research, teaching at the
graduate and undergraduate level, and a commitment to
cross-disciplinary and cross-cultural collaboration and outreach.

Applicants must apply online at
https://unc.peopleadmin.com/postings/171148. In addition to
information requested by the UNC website, applicants should post the
following at www.mathjobs.org: (1) The AMS Standard Cover Sheet [form
online], (2) curriculum vitae, (3) research statement, (4) teaching
statement, and (5) three letters of recommendation addressing
scholarship and one letter addressing teaching qualifications. Note
that candidates must apply at the UNC website and MathJobs to be
considered for the position.

Review of applications will begin on November 15, 2019, and will
continue until the position is filled. The position start date is July
1, 2020.

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. We seek applicants who engender a
climate that values diversity in all its forms.


From: Michael Parks mlparks@sandia.gov
Date: October 15, 2019
Subject: Postdoc Fellowship Position, Sandia National Laboratories


Sandia National Laboratories invites outstanding candidates to apply
for the 2020 John von Neumann Fellowship in Computational
Science. This is one of Sandia's most prestigious postdoctoral
fellowships, with funding from the Applied Mathematics Research
Program in the U.S. Department of Energy's Office of Advanced
Scientific Computing Research.

We are seeking researchers in the broadly-defined domain of
computational and applied mathematics, including algorithm analysis,
applied probability, combinatorial scientific computing, control, data
science, discrete mathematics, discretization methods, graph
algorithms, high-performance computing, integral equations and
nonlocal models, linear algebra, machine learning, mathematical
analysis, meshing, modeling & simulation,
multilevel/multiphysics/multiscale methods, numerical analysis,
operations research, optimization, ordinary differential equations,
partial differential equations, solvers, statistical inference, time
integration, and uncertainty quantification.

We seek applicants with interests in applying computational methods to
scientific and engineering applications, including additive
manufacturing, circuit simulation, computational fluid dynamics (CFD),
computational solid mechanics, cyber security, earth systems,
electrical systems, hyperspectral imaging, magneto-hydrodynamics
(MHD), micro-electro mechanical systems (MEMS), material design,
molecular dynamics, power grid, sensor data fusion, shock physics,
signal processing, and turbulence modeling.

Appointments are for one year, with the option of a second year, and
include a highly competitive salary, moving expenses and a generous
professional travel allowance. Fellows pursue a combination of
self-directed research and integration with existing Sandia R&D
projects, under the guidance of Sandia staff mentors. They are
expected to publish the results of their work in leading journals and
present it at top-tier conferences.

We seek a diverse applicant pool and, therefore, especially encourage
application from women and under-represented minorities. US
citizenship is required. Applications will be accepted through
November 22, 2019. For more information, including application
instructions, please see our web page at
http://www.sandia.gov/careers/students_postdocs/fellowships/johnvonneumann_fellowship.h
tml.



From: Duncan Agnew dagnew@ucsd.edu
Date: October 16, 2019
Subject: Postdoc Fellowship Position, Theoretical And Computational Geophysics, Scripps


The Institute of Geophysics and Planetary Physics (IGPP) at the
Scripps Institution of Oceanography has an opening starting in 2020
for a Postdoctoral Fellowship. Funding is available to support a
postdoctoral position in any area of computational and theoretical
geophysics, including machine learning applied to geophysics. Before
applying, contact potential mentors at IGPP to develop a plan for
collaboration. See https://igpp.ucsd.edu/about for information about
research done at IGPP. In 2020 three new faculty (Matthias Morzfeld,
Alice-Agnes Gabriel, and David May) will arrive and could be potential
mentors (contact information is available on applications
website). The position is for one year, renewable for a second year
subject to satisfactory performance during the first year. Salary is
$60,000/yr plus benefits, along with $3000/yr of discretionary
research funds.

Applicants must be within 5 years of the award of their
PhD. Application materials must be submitted online at
https://igpp.ucsd.edu/scholarships . The deadline for receipt of all
application materials is December 1, 2019.



From: Esmond G. Ng EGNg@lbl.gov
Date: October 18, 2019
Subject: Postdoc Fellowship Positions, Berkeley Lab


Berkeley Lab is now accepting applications for the 2020-2021 Luis W.
Alvarez Postdoctoral Fellowship and Admiral Grace Hopper Postdoctoral
Fellowship in the Computing Sciences Area.

Apply now for these two prestigious fellowships! Researchers in
computer science, applied mathematics, or any computational science
discipline who have received their Ph.D. within the last three years
are encouraged to apply. The successful applicants will receive a
competitive salary, professional travel allowance, relocation
assistance, excellent benefits, and an opportunity to work in the San
Francisco Bay Area. Since its founding in 2002, the Luis W. Alvarez
Fellowship has cultivated exceptional young scientists who have gone
on to make outstanding contributions to computational and computing
sciences. The Admiral Grace Hopper Fellowship was established in 2015.

Additional information on the Luis W. Alvarez Postdoctoral Fellowship
and the Admiral Grace Hopper Postdoctoral Fellowship can be found at
https://cs.lbl.gov/careers/computing-fellowships/.

Berkeley Lab's Computing Sciences Area researches, develops, and
deploys new tools and technologies to meet these needs and to advance
research in our core capabilities of computer science, mathematics,
and computational science. In addition to fundamental advances in our
core capabilities, we impact such areas as materials science,
chemistry, biology, astrophysics, climate change, combustion, and
fusion energy. Research areas in Computing Sciences include:

Application Process: For consideration applications are due December
6, 2019. Letters of Reference are due December 9, 2019. Details of the
application process can be found at
https://jobs.lbl.gov/jobs/2020-luis-j-alvarez-and-admiral-grace-m-hopper-postdoctoral-
fellowships-computing-sciences-2245



From: Tiago Pereira da Silva tiago@icmc.usp.br
Date: October 15, 2019
Subject: Postdoc Position, Computational Mathematics, Brazil


Post-doc Position in Applied Industrial Mathematical Modelling and
Computational Mathematics. The Center for Mathematical Sciences
Applied to Industry (CEPID-CeMEAI) has a post-doc position
available. The requirements are described below. The salary is
R$7.373,10 per month tax free. The appointed Post-doc can also get
return travel from his/her country to Brazil paid by the grant. The
positions are initially for one year, renewable for a second year
pending on suitable performance. Post-Doctoral Research Project
University of Sao Paulo at Sao Carlos ICMC - Department of Applied
Mathematics and Statistics Location: Sao Carlos - Sao Paulo State-Brazil

Title: Normal Forms and Centre Manifold reductions for Networks
Supervisor: Tiago Pereira

Job description/Requirements: A network encodes a structure of
individual units (the nodes), together with the information of how
these units depend on each other. We project focus on qualitative
changes in the dynamics of networks as one or more parameters
vary. One can, for example, think about the emergence of steady state
points or periodic orbits, or the phenomenon whereby multiple cells in
a network start displaying identical dynamical behaviour
(synchronisation). Due to the nature of network structures, the
symmetries are often more "exotic" than compact groups;
equivariance of a dynamical system will often mean with respect to the
action of a finite monoid (i.e. a group without inverses) and the
representations in question will often be of semigroups. The project
deals with such normal form reduction to understand how collective
dynamics appear with such systems. Ofter such collective motion are
only revealed through the hidden symmetry. The successful applicant
will participate of a collaborative effort being developed by the
Brazilian team headed by Prof. Tiago Pereira and an English team
headed by Prof. Jeroen Lamb. A doctoral degree in Applied Mathematics,
Engineering or a related area is required, together with strong
background on dynamical reduction techniques, such as normal form
theory, Lyapunov-Smith reduction and center manifold
reduction. Candidates with proven skills in performing independent
scientific research and in programming for high performance computing
environments will be preferred. Interested candidates should e-mail a
CV and two letters of recommendation from university professors before
November, 15th to tiago@icmc.usp.br

Contract Condition: Grant from FAPESP under the Research,
Innovation and Dissemination Centers (RIDC- CeMEAI)
(http://www.fapesp.br/en/17,http://www.cemeai.icmc.usp.br/)



From: Zichao Wendy Di wendydi@anl.gov
Date: October 16, 2019
Subject: Postdoc Position, Machine Learning for Phase Retrieval, Argonne NL


The Laboratory for Applied mathematics, Numerical Software, and
Statistics (LANS), Mathematics and Computer Science Division, and the
Advanced Photon Source (APS) invite applicants for a postdoctoral
position in the area of utilizing machine learning for large-scale
ptychographic experiments, an essential tool for high-resolution and
nondestructive material characterization and imaging. Postdoctoral
appointees will investigate and develop semi-supervised, unsupervised,
and active learning algorithms to understand object structure from
scanning diffraction patterns, facilitate smart data collection, and
create optimal experimental designs. Candidates interested in
advancing developments in deep clustering and active learning for
challenging large- scale data analysis in importation applications
will find a stimulating environment.

Postdoctoral appointees will have access to multidisciplinary
collaborations, world-class mathematical libraries, special-purpose
hardware for machine learning, expected deployment of the US's first
exascale supercomputer, and a thousandfold upgrade in brightness of
the APS' x-rays.

An expected/recent doctoral degree in applied mathematics, computer
science, computational physics, imaging, machine learning, signal
processing, or related fields. Knowledge is desired in one or more of
machine/deep learning, clustering, scientific computing, mathematical
optimization, statistical inversion, inverse problems, phase
retrieval, imaging. Applicants should include a cover letter
(detailing their research interests and career goals) and contact
information for three references.

The start date for this position is
flexible. U.S. citizenship/permanent residency is not required.

Apply at: http://bit.ly/338oH2f


From: Sven Leyffer leyffer@anl.gov
Date: October 17, 2019
Subject: Postdoc Position, Optimization and Quantum Computing, Argonne


The Mathematics and Computer Science Division at Argonne National
Laboratory is seeking well-prepared postdoctoral candidates with
interests in researching methods at the intersection of numerical
optimization and quantum computing.

Postdoctoral appointees with interest in theory, algorithms, and/or
software are encouraged to apply. We especially encourage applications
from researchers with interest in hybrid quantum-classical algorithms,
and/or experience with variational quantum algorithms (e.g., QAOA or
VQE).

Position requirements include a doctoral degree in applied mathematics
or quantum information sciences, and expertise in numerical
optimization or quantum computing, and a willingness to research in
the other field.

This position is available immediately, but there is flexibility in
start dates for highly qualified candidates. More information on
quantum computing at Argonne is available at
https://www.anl.gov/mcs/quantum-computing Questions can be addressed
to Jeffrey Larson (jmlarson@anl.gov) and SvenLeyffer
(leyffer@anl.gov).



From: Carola-Bibiane Schoenlieb cbs31@cam.ac.uk
Date: October 17, 2019
Subject: Postdoc Positions, Deep learning for inverse problems, Cambridge


We are currently advertising two Post-Doctoral Research positions in
the Department of Applied Mathematics and Theoretical Physics to work
on the development of image reconstruction and image analysis methods
for a novel end-to-end pipeline for cancer imaging diagnosis and
treatment planning, within the Wellcome Trust project 'All in one
cancer imaging optimisation using an integrated mathematical and deep
learning approach'. The successful candidates will be part of the
Cambridge Image Analysis (CIA) Group.

This project is a collaborative project between mathematicians in
Cambridge and the Alan Turing Institute, medical researchers and
clinicians from Addenbrookes hospital and Siemens. The role of this
position will be to design and implement novel, cutting-edge image
reconstruction and image analysis methods for Computed Tomography, to
develop an end-to-end pipeline for cancer imaging diagnosis and
treatment planning. This is an exceptional opportunity to conduct
ambitious research whilst collaborating with an international and
interdisciplinary team for designing novel developments in machine
learning and inverse problems for cancer imaging.

We are looking for two excellent and ambitious postdoctoral
researchers who want to join this research endeavour. The successful
candidates will have:
a. A PhD degree in mathematics or a closely related subject;
b. Experience in one or more of the following: inverse imaging
problems, variational reconstruction approaches, deep learning and
(bio-) medical imaging;
c. Substantial experience in programming languages e.g. Python, C, R
or MATLAB;
d. Strong communication skills, team player and organisation skills.

The post carries no teaching or administrative duties. There are
generous funds available under the project for attending conferences
and conducting research visits. Fixed-term: The funds for this post
are available for 2 years in the first instance. The application
deadline is the 15th of November 2019. More details can be found
here: http://www.jobs.cam.ac.uk/job/23464/ Informal inquiries can be
made by contacting Prof Carola-Bibiane Schonlieb
(LE20923@maths.cam.ac.uk).


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