NA Digest, V. 20, # 7

NA Digest Monday, February 17, 2020 Volume 20 : Issue 7


Today's Editor:

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

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html

Submissions for NA Digest:

http://icl.utk.edu/na-digest/


From: Barry Smith bsmith@mcs.anl.gov
Date: February 09, 2020
Subject: Gary Leaf


Dr. Gary Kristian Leaf, a member of the Mathematics and Computer
Science Division at Argonne National Laboratory, passed away on
January 13, 2020, at the age of 84.

Gary graduated with a doctorate in mathematics and a master's in
physics from the University of Illinois Urbana- Champaign. After
working for two years at the University of Chicago, Gary moved to his
permanent home at Argonne National Laboratory in 1963. He worked at
Argonne until 2019, a total of 56 years; his plans to return to work
were interrupted by his death. Despite battling retinitis pigmentosa,
a condition that rendered him legally blind, Gary continued to do
mathematics and publish well past his official retirement age.

Gary's passion was applying mathematics principles to solve a wide
range of problems in science and engineering. In the 1960s and 1970s,
he focused on modeling problems in nuclear reactor physics and
participated in the development of two important simulation codes,
PERC and ANL-CANDID. His work (along with collaborators) during the
1970s included the numerical solution of the neutron transport
equation, multigroup diffusion equations, and applications of the
newly successful finite element methods to problems in reactor
physics. He participated in the development of a third reactor physics
code, DISPL, that extended the range of the previous codes to simulate
both kinetics and diffusion problems.

From the 1980s to the mid-1990s, Gary broadened his areas of work and
focused on developing numerical techniques for solving problems in
fluid dynamics, combustion, wavelets, and chaotic dynamics among other
topics. In the mid-1990s, Gary developed a keen interest in
application of mathematics to physical systems, in particular to
materials science. His collaborations with Argonne's Materials Science
Division lasted decades and included work in superconductivity and
micromagnetics. He co-authored papers on a broad range of topics
including parallel adaptive multigrid, wavelets, sedimentation, and
one of the first papers on adjoint- based data assimilation. In one of
his last publications, he collaborated with the Department of
Physiology and Molecular Biology at the Rush University Medical
Center. There Gary worked on mathematical modeling and simulation of
ion channels --- doughnut-shaped proteins residing in the cell
membrane and regulating the flow of ions in and out of the cell. In
his work he actively used the latest supercomputers available at
Argonne, including Intel's Theta system.

Throughout his professional life, Gary touched and deeply impacted
many lives --- as a mentor, as a colleague,and as a friend. Gary was
very supportive of the work of early career staff and showed great
interest in learning more about their projects and always asked
challenging questions about their research topics. Gary-s thirst for
knowledge, his work ethic, and his undying curiosity to learn more
were great sources of inspiration to multiple generations of research
staff. Gary worked with a number of graduate students, postdocs, and
collaborators within the laboratory and academia, all of whom have
fond memories of their time with Gary.


From: Eric Polizzi polizzi@ecs.umass.edu
Date: February 12, 2020
Subject: Announcing FEAST Eigensolver v4.0


The FEAST library package represents an unified framework for solving
various family of eigenvalue problems and achieving accuracy,
robustness, high-performance and scalability on parallel
architectures. FEAST is both a comprehensive library package, and an
easy to use software. Its originality lies with a new transformative
numerical approach to the traditional eigenvalue algorithm design -
the FEAST algorithm. The algorithm gathers key elements from complex
analysis, numerical linear algebra and approximation theory, to
construct an optimal subspace iteration technique using approximate
spectral projectors. It belongs to the family of contour integration
eigensolvers which involves solving independent linear systems along a
complex contour. FEAST v4.0 is a major upgrade. The entire code has
been re- implemented using an inverse residual iteration algorithm
allowing the linear systems to be solved with very low accuracy (in
single precision) with no impact on the FEAST double precision
convergence rate. As a result, v4.0 is on average 3 to 4 times faster
than v2.1 and v3.0 using new default optimization parameters (v2.1 has
been featured as Intel- MKL's principal HPC eigensolver since 2013).

FEAST v4.0 package include the following (many new) features:
1- Support for Hermitian and non-Hermitian systems (Standard or
Generalized);
2- Support for Polynomial systems such as quadratic, cubic, quartic, etc.
3- Finding eigenpair within a search contour (normal mode); Finding
extreme eigenvalues (lowest/largest);
4- Mixed precision (single precision operations leading to double
precision final results);
8- IFEAST- FEAST w/o factorization for sparse drivers;
9- PFEAST- FEAST using 3 levels of MPI parallelism (with MPI solvers);
5- Two libraries: SMP version (one node), and MPI version (multi-nodes);
6- Flexible Reverse communication interfaces (RCI);
7- Ready to use Driver interfaces for dense, banded, sparse formats;
10- Large number of useful options, expert mode, examples, and
documentation.

The software can be downloaded from the following website:
http://www.feast-solver.org


From: Benjamin Uekermann b.w.uekermann@tue.nl
Date: February 14, 2020
Subject: New preCICE Release v2.0


We are happy to announce a new preCICE release v2.0.
https://github.com/precice/precice/releases/tag/v2.0.0

preCICE is a coupling library for partitioned multi-physics
simulations, including, but not restricted to fluid-structure
interaction and conjugate heat transfer simulations. Partitioned means
that preCICE couples existing programs (solvers) capable of simulating
a subpart of the complete physics involved in a simulation. This
allows for the high flexibility that is needed to keep a decent
time-to-solution for complex multi-physics scenarios. Ready-to-use
adapters for well-known commercial and open-source solvers, such as
OpenFOAM, deal.II, FEniCS, SU2, or CalculiX, are available. preCICE is
an open-source software under the LGPL3 license.
https://www.precice.org/

We decided to move to v2.0 to clean up some old baggage. Users need to
change a few things in their applications to move to v2.x, but it's
worth it, many things will get much simpler. To help moving, we
prepared a porting guide:
https://github.com/precice/precice/wiki/Porting-adapters-from-preCICE-1.x-to-2.x).

A few highlights:

- The Python bindings are now really pythonic and available through
PyPI: https://pypi.org/project/pyprecice/
- We now also have Matlab bindings.
- Configuration of OpenFOAM cases now directly use an OpenFOAM dictionary.
- We did several optimizations to better support very large cases.



From: Pasqua D'Ambra pasqua.dambra@cnr.it
Date: February 10, 2020
Subject: EoCoE Webinar on MLD2P4, Feb 2020


The EoCoE team will give the second webinar of 2020 on Linear Algebra
software tools, taking place on February, 24, 2020 and starting at 3
PM. During this webinar, Pasqua D'Ambra, Senior Research Scientist at
the National Research Council of Italy, will present MLD2P4
(MultiLevel Domain Decomposition Parallel Preconditioners Package
based on PSBLAS), which provides efficient and easy-to-use
preconditioners in the context of the PSBLAS (Parallel Sparse Basic
Linear Algebra Subprograms) computational framework. The package,
whose features are constantly updated within the Energy-Oriented
Center of Excellence (EoCoE) European project, includes multilevel
cycles and smoothers widely used in multigrid methods. A purely
algebraic approach is applied to generate coarse-level corrections so
that no geometric background is needed concerning the matrix to be
preconditioned. The webinar will present the main features of the
package, and example of usage of the main APIs needed to setup the
preconditioner, together with its application within the Krylov
solvers available from PSBLAS. Some results on test cases relative to
the EoCoE application areas highlight how the PSBLAS/MLD2P4 software
framework can be used to obtain highly scalable linear solvers. For
those of you who wish to participate, please register on the dedicated
GoToWebinar page at the following link.

LINK: https://attendee.gotowebinar.com/register/3291194948253656589


From: Alexander Brune acb795@bham.ac.uk
Date: February 12, 2020
Subject: British Early Career Mathematicians’ Colloquium, UK, Apr 2020


Registration is now open for the British Early Career Mathematicians'
Colloquium (BECMC) (formerly BYMC).

The BECMC will be held on the 1st-2nd April 2020 at the University of
Birmingham. This will be a two-day event aimed at PhD students and
early career mathematicians. It offers participants a valuable
opportunity to network with others in their field, gain an insight
into the active areas of research in a wide range of mathematical
disciplines, and give a talk in a relaxed and friendly environment.
(For more details, please visit
http://web.mat.bham.ac.uk/BYMC/BECMC20/).

The committee recognises that the standard of access at academic
conferences across the UK is largely unacceptable. Our team are
working to improve this within their capabilities, both for this BECMC
2020 and for future conferences. Please see our website for full
details about the accessibility at the conference.

For any questions or concerns, please email the committee on
becmc2020@contacts.bham.ac.uk.


From: Jonathan Siegel jus1949@psu.edu
Date: February 10, 2020
Subject: Mathematical Machine Learning and Applications, USA, Apr 2020


We cordially invite you to attend "Workshop on Mathematical Machine
Learning and Applications" held by the Center for Computational
Mathematics and Applications (CCMA) at Penn State" on April 26-29,
2020.

This workshop aims to bring together active scientists in the emerging
field of data science to discuss recent advances in the study of
algorithm development, theoretical analysis and applications of
machine learning. Of particular interest are research topics
concerned with the interplay between computer science, statistics,
scientific computing, mathematical analysis, and applications of deep
neural networks. As part of the meeting, Prof. George Karniadakis and
Prof. Jinchao Xu will deliver introductory lectures on the mathematics
of deep learning with junior participants as the target audiences.

Confirmed Invited Speakers Include: Tyrus Berry (George Mason);
Gregery T. Buzzard (Purdue); Eric Darve (Stanford); Bin Dong (PKU);
Weinan E (Princeton); Dimitris Giannakis (Courant); C. Lee Giles (Penn
State); John Harlim (Penn State); Thomas Y. Hou (Caltech); George
Karniadakis (Brown); Stanley Osher (UCLA); Zuowei Shen (NUS); Zuoqiang
Shi (Tsinghua); Aarti Singh (CMU); Andrew Stuart (Caltech); John
Urschel (MIT); Rachel Ward (Texas); Lin Xiao (Microsoft)

More details on the registration information and possible travel
support for junior participants (pending to NSF grant approval) is
available at https://ccma.math.psu.edu/2020workshop/



From: Abner Salgado asalgad1@utk.edu
Date: February 11, 2020
Subject: Barrett Lectures, USA, May 2020


We are pleased to announce that the 50th John H. Barrett Memorial
Lectures (Barrett Lectures) will be held from May 11-13, 2020 in the
Department of Mathematics at the University of Tennessee, Knoxville,
TN. The Barrett Lectures is one of the few long standing conferences
in mathematics in the southeastern United States, held annually since
1970 with some exceptions. This year, the Barrett Lectures is
organized under the theme of "A3N2M: Approximation, applications and
analysis of nonlocal, nonlinear models", and the conference is
composed of plenary, invited and contributed talks by experts in the
application, approximation, and analysis of nonlocal models. Full
details about speakers, registration and other information can be
found in the website
http://www.math.utk.edu/info/barrett/barrett-lectures2020/

Limited funds via the support of NSF and IMA, which we gratefully
acknowledge, are available to defray travel expenses to registered
participating graduate students, postdocs, early-career researchers,
and/or members of groups that are under-represented in mathematics.
Please help advertise this event to your students, postdocs and
early-career researchers in your department who might be interested in
it. We would appreciate if you can post or send via email the attached
conference flier to your faculty and graduate students. Please let us
know if you have any questions.


From: Michal Kocvara m.kocvara@bham.ac.uk
Date: February 14, 2020
Subject: Numerical Linear Algebra and Optimization, UK, Jun 2020


The IMA and the University of Birmingham are pleased to announce the
Seventh Biennial IMA Conference on Numerical Linear Algebra and
Optimization, University of Birmingham, UK, 24-26 June 2020

Conference topics include any subject that could be of interest to
both communities, such as: Direct and iterative methods for large
sparse linear systems; Eigenvalue computation and optimization;
Large-scale nonlinear and semidefinite programming; Effect of
round-off errors, stopping criteria, embedded iterative procedures;
Optimization issues for matrix polynomials; Fast matrix computations;
Compressed/sparse sensing; PDE-constrained optimization; Distributed
computing and optimization; Applications and real time optimization

Invited plenary speakers: Pierre-Antoine Absil (University of
Louvain); Frank E. Curtis (Lehigh University); Moritz Diehl
(University of Freiburg); Zlatko Drmac (University of Zagreb);
Gabriele Eichfelder (TU Ilmenau); Melina Freitag (University of Bath);
David Silvester (University of Manchester)

Abstract submission: 28 February 2018
Notification of acceptance of abstracts: 31 March 2018

Website:
https://ima.org.uk/12530/7th-ima-conference-on-numerical-linear-algebra-and-
optimization/

For further information or to register your interest, please contact Maya
Evarson, Conference Officer, E-mail: Maya.Evarson@ima.org.uk, Tel: +44
(0) 1702 354 020, Fax: +44 (0) 1702 354 111, Institute of Mathematics and
its Applications, Catherine Richards House, 16 Nelson Street, Southend-
on-Sea, Essex, SS1 1EF, UK.


From: Marta D'Elia mdelia@sandia.gov
Date: February 13, 2020
Subject: Nonlocal Models, Analysis, Optimization and Implementation, Germany, Jul 2020


It is our pleasure to announce the upcoming workshop Nonlocal Models -
Analysis, Optimization and Implementation organized by the research
training group Algorithmic Optimization (University of Trier) that
will take place in July 27-30, 2020, at Trier University, Germany:
https://math.uni-trier.de/~ALOP_WS/

Confirmed Plenary Speakers:
Harbir Antil (George Mason University)
Marta D'Elia (Sandia National Laboratories)
Max Gunzburger (Florida State University)
Julio D. Rossi (Universidad de Buenos Aires)
Pablo Seleson (Oak Ridge National Laboratory)

The workshop will be focused on models which are nonlocal in space;
including fractional equations as well as nonlocal models with a
finite range of interactions. Aspects that shall be covered include:
Optimization, Analysis and Stochastics, Implementation, Applications

Important Dates:
Registration: until May 15, 2020
Notification of acceptance: at latest May 31, 2020


From: Wim Vanroose info@pmaa20.org
Date: February 15, 2020
Subject: Parallel Matrix Algorithms and Applications, Belgium, Jul 2020


Workshop Parallel Matrix Algorithms and Applications PMAA20, July 2-4,
2020, https://pmaa20.org

This international workshop discusses applications and algorithms of
parallel matrix algorithms. The Workshop brings together experts and
practitioners from diverse disciplines around their interest in matrix
computations.

Topics of interest include: Large-scale applications, from any field,
where parallel matrix computation play a key role, Parallel methods
for solving large sparse- or dense linear systems or eigenvalue
problems, Parallel environments and tools for enabling matrix
applications, Communication and computation patterns in parallel
matrix computations, Combinatorial scientific computing, Analysis of
parallel matrix algorithms, Novel hardware, Automatic tuning and
performance modelling.

Invited speakers to be announced soon.

Important dates:
- March 21, 2020: Submission of Minisymposium proposals by e-mail to
submissions@pmaa20.org
- April 5, 2018: Submission of abstracts for MS and contributed talks

For more information see https://pmaa20.org


From: Jan-Frederik Pietschmann jfpietschmann@math.tu-chemnitz.de
Date: February 10, 2020
Subject: Chemnitz Inverse Problems Symposium, Germany, Sep 2020


Dear collegues, we are happy to announce this year's Chemnitz
Symposium on Inverse Problems which will be part of the annual
DMV-Meeting (German mathematical society) taking place in Chemnitz
from September 14 to 17, 2020.

It will be organized by Barbara Kaltenbacher, Andrew Stuart and myself
and we cordially invite you to join us.

All relevant information are summarized here:
https://www.chemnitz-am.de/ipsym2020/

Note that the registration works directly via the DMV.


From: Otmar Scherzer otmar.scherzer@univie.ac.at
Date: February 10, 2020
Subject: Tenure-track Positions, Math, U of Vienna


- Mathematics in Tomography
- Mathematical Finance
- Harmonic Analysis and its applications

https://personalwesen.univie.ac.at/jobs-recruiting/tenure-track-professuren/aktuelle-
tenure-track-professuren/tag/fakultaet-fuer-mathematik/


From: Michal Kocvara m.kocvara@bham.ac.uk
Date: February 14, 2020
Subject: Lecturer/Senior Lecturer Position, Mathematical Optimization, Data Science, UK


School of Mathematics, College of Engineering and Physical Sciences
University of Birmingham, UK

Applications are invited for a Lecturer/Senior Lecturer post in
Mathematical Optimization, Data Science. The School is seeking to
appoint an active and committed researcher in the emerging areas of
modern Mathematical Optimization, such as Optimization for Machine
Learning and Data Science, Stochastic Optimization, Distributed
Optimization, and Uncertainty Qualification.

The successful candidates will have a PhD (or equivalent) in
Mathematics or Computer Science, a first-class research record in
Mathematics, and a commitment to teaching, along with excellent
communication skills. Senior lecturer candidates will demonstrate
experience in attracting external funding.

Informal enquiries may be addressed to Professor Michal Kocvara, tel:
+44(0)1214146598, email: m.kocvara@bham.ac.uk

Closing date: 15th March 2020

To download the details and submit an electronic application online visit:
https://bham.taleo.net/careersection/external/jobdetail.ftl?
job=200000SY&tz=GMT%2B00%3A00&tzname=Europe%2FLondon
or
https://www.birmingham.ac.uk/staff/jobs/ -> Search our current
vacancies - > Keyword \374optimization\375

See also
https://www.jobs.ac.uk/job/BYP853/lecturer-senior-lecturer-teaching-and-research-in-
mathematics


From: Tim Phillips PhillipsTN@cf.ac.uk
Date: February 14, 2020
Subject: Senior Lecturer or Reader Position, Data Science/Statistics, Cardiff Univ


Applications are invited for a Senior Lectureship/Readership in Data
Science/Statistics associated with the Data Science Academy which is a
partnership between the School of Computer Science and Informatics and
the School of Mathematics. The Office for National Statistics (ONS) is
supporting this position as part of its recently announced strategic
partnership with Cardiff University. The person appointed will
strengthen this collaborative partnership across the spectrum of
research, education and industrial engagement activities. The role
provides a unique opportunity with regards to teaching, research and
innovation, to strengthen the University's strategic collaboration
with the ONS, the recognised national statistical institute of the UK,
through the delivery of high quality, research led teaching at both
undergraduate and postgraduate level. To pursue and demonstrate
excellence in research, teaching and enterprise, leading to
publication of work in high-quality journals, further contributing to
both Schools' research records and inspiring others to do the same.
The successful candidate will have an established record of research
that reaches the highest standards of excellence in terms of originality,
significance and rigour in any area of Data Science/Statistics and have
a genuine curiosity and enthusiasm to deliver and develop high-quality
teaching for undergraduate and postgraduate programmes in related
subjects. The successful candidate will possess an ability to translate
theory into practice and to work with the ONS and other public sector
organisations in the application of data science to public policy. The
person appointed would be expected to engage with staff at the ONS
Data Science Campus (https://datasciencecampus.ons.gov.uk/)

Cardiff University is committed to supporting all its employees in
achieving the necessary balance between their work and their personal
lives. As part of this commitment, the University has developed a
flexible and responsive framework of support for staff in managing
their work and personal commitments wherever possible. We
particularly welcome applications from women who are under-
represented within Cardiff University in these fields. This position
is a full-time position, 35 hours per week and is open ended. For an
informal discussion of the role please contact Professor Stuart Allen
allensm@cardiff.ac.uk, Professor Tim Phillips phillipstn@cardiff.ac.uk
or Sarah Oakes oakess1@cardiff.ac.uk.

Closing date: Friday, 28 February 2020

Further details:
https://krb-sjobs.brassring.com/TGnewUI/Search/Home/HomeWithPreLoad?
partnerid=30011&siteid=5460&PageType=searchResults&SearchType=linkquery&LinkID=6#
jobDetails=1594225_5460


From: Amos Lawless a.s.lawless@reading.ac.uk
Date: February 11, 2020
Subject: Postdoc Position, Data Assimilation Scientific Programmer, Univ of Reading


We are seeking a self-motivated and independent Data Assimilation
Scientific Programmer to maintain and develop the data assimilation
software systems of the UK National Centre for Earth Observation
(NCEO) and support users of these systems in NCEO and the wider UK
academic community. The post is based in the Data Assimilation
Research Centre of the School of Mathematical, Physical and
Computational Sciences at the University of Reading, UK.

Application deadline: 15 March, 2020.

Further details are available at
https://jobs.reading.ac.uk/internal/displayjob.aspx?jobid=6383


From: Michael Minion mlminion@lbl.gov
Date: February 15, 2020
Subject: Postdoc Position, Lawrence Berkeley Lab


The Scalable Solvers Group
(https://crd.lbl.gov/departments/applied-mathematics/scalable-solvers/)
at the Lawrence Berkeley National Lab is seeking exceptional
applicants for a post-doctoral position in the area of numerical
methods for partial differential equations.

Interested candidates can view the job listing and apply here:
https://jobs.lbl.gov/jobs/computational-science-postdoctoral-scholar-2535

The position is available immediately and will remain open until
filled.

For more information, contact Michael Minion (mlminion@lbl.gov)


From: Tamás Terlaky terlaky@lehigh.edu
Date: February 14, 2020
Subject: Postdoc Position, Quantum Computing and Optimization


Postdoctoral Position on Quantum Computing and Optimization
Quantum Computing and Optimization Laboratory,
Industrial and Systems Engineering Department,
Lehigh University, Bethlehem, PA, USA

Applications are invited for a postdoctoral position at the Quantum
Computing and Optimization Laboratory (QCOL), Industrial and Systems
Engineering (ISE) Department, Lehigh University
(http://coral.ie.lehigh.edu/~QCOL), as part of a recently awarded $2.1
million DARPA grant (https://engineering.lehigh.edu/news/article/21m-
darpa-grant-puts-ise-faculty-vanguard-quantum-computing) for research
in optimization with Noisy Intermediate-Scale Quantum (NISQ) devices.
We seek outstanding candidates with a Ph.D. in operations research,
physics, computer science, applied mathematics, or related areas with
research experience in the general area of Quantum Computing (QC). In
addition, demonstrated proficiency in verbal and written communication
skills and the ability to work in a collaborative, multidisciplinary
team are required. Some of the research directions that the QCOL is
pursuing are related, but not limited to: the development of new QC
results/techniques to address the solution of combinatorial
optimization problems with NISQ devices, the development of new QC
interior point algorithms, and the study and control of noise in NISQ
devices. Through strong collaborations, QCOL has access to
state-of-the-art QC hardware and software. Compensation will be
commensurate with experience, and the position is for one (1) year
with the possibility of extension to a second year. Interested
applicants should submit a cover letter, curriculum vitae, a brief
statement of research accomplishments, and contact information for at
least three references to Prof. Tamas Terlaky . Review of
applications will begin immediately and will continue until the
position is filled. Questions concerning the position can be directed
to Prof. Tamas Terlaky, ISE Department, at .

Lehigh University is an affirmative action/equal opportunity employer.
Please check https: //www.lehigh.edu/~policy/university/eo.htm for
details.



From: Rodrigo Fernandes de Mello mello@icmc.usp.br
Date: February 14, 2020
Subject: Postdoc Position, Univ of Sao Paulo


The Research, Innovation and Dissemination Center for Mathematical
Sciences Applied to Industry (CeMEAI), hosted by the University of Sao
Paulo, Brazil, and funded by FAPESP (Sao Paulo Research Foundation,
Brazil) is offering a post-doctoral fellowship for candidates with
outstanding research potential.

This 12-month post-doctoral fellowship is focused on the use of
supervised learning techniques to model systems of differential
equations in order to represent agricultural databases. Applicants
must have graduated in mathematics and completed a doctorate in
Statistics and related areas in the last 5 years. The selection
criteria will include demonstrated research capacity in mathematics,
statistics, solid training in stochastic processes, optimization of
models of differential and nonlinear equations, operational research,
Bayesian analysis, experimental statistics, multivariate analysis,
bootstrap, Monte Carlo simulation and computational statistics. It is
also desirable that the candidate has experience working in research
groups and has collaborated on research projects with companies,
startups or governmental institutions. To apply please E-mail (only
PDF files) the following items for the researcher Rodrigo Fernandes
Mello (mello@icmc.usp.br) until 2020/03/05: 1. A letter of interest,
containing full contact information, year graduated and
citizenship/immigration status, concisely responding to the research
emphases above; 2. A CV ; 3. A cover letter including names and
contact information for 3 references (no letters please). Indicate
"CEPID Postdoc" in the subject field.



From: Rodrigo Fernandes de Mello mello@icmc.usp.br
Date: February 14, 2020
Subject: Postdoc Position, Using fuzzy systems for time series analysis


The Research, Innovation and Dissemination Center for Mathematical
Sciences Applied to Industry (CeMEAI), hosted by the University of Sao
Paulo, Brazil, and funded by FAPESP (Sao Paulo Research Foundation,
Brazil) is offering a post-doctoral fellowship for candidates with
outstanding research potential. This call makes available a postdoc
position for 6 months, which is focused on: (i) the combination of
time series forecasting techniques with fuzzy set theory aiming at
dealing with uncertainty naturally inherent in models obtained from
real-world problems to improve, for example, prediction accuracies;
(ii) adequately partitioning discourse universe of time series; (iii)
interpreting fuzzy time series to understand implicit behavior in
crime and biodiversity datasets; In this context, we also intend to
model the stochastic component by using fuzzy rule-based systems.
Applicants must have received a doctorate in Computer Science within
the last 7 years. Selection criteria will include demonstrated
research ability in Machine Learning, with emphasis on Fuzzy Set
Theory, and Time Series Forecasting. To apply please E-mail (only PDF
files) the following items at mello@icmc.usp.br until March, 05, 2020:
1. A letter of interest, containing full contact information, year
graduated and citizenship/immigration status, concisely responding to
the research emphases above; 2. A CV ; 3. A cover letter including
names and contact information. Indicate "CEPID Postdoc" in the subject
field.



From: Nick Higham nick.higham@manchester.ac.uk
Date: February 11, 2020
Subject: Postdoc Positions, Numerical Linear Algebra, Univ of Manchester


Two postdoctoral posts are available in the Numerical Linear Algebra
Group (https://nla-group.org/) at the University of Manchester on
projects developing and analyzing numerical linear algebra algorithms
for high-performance computers.

For details, see
https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=18615

Closing date: March 11, 2020.

Informal enquiries should be directed to
Professor Nick Higham (nick.higham@manchester.ac.uk).


From: Anna-Karin Tornberg akto@kth.se
Date: February 13, 2020
Subject: PhD Position, Applied and Computational Mathematics, KTH


The department of Mathematics at the Royal Institute of Technology
(KTH) seeks applications for a Ph.D student position in Applied and
Computational Mathematics with specialization in Numerical
Analysis. The research project will be focused on development of
numerical methods primarily for applications within micro-fluidics
(fluid dynamics at the micro scale). The algorithms will to a large
extent be based on boundary integral equations, and the project will
span over theory, algorithms, software and applications.

The doctoral student will be supervised by Professor Anna-Karin
Tornberg.

Application deadline March 18.

English version of ad:
https://www.kth.se/en/om/work-at-kth/lediga-
jobb/what:job/jobID:313805/type:job/where:4/apply:1

Swedish version of ad:
https://www.kth.se/om/work-at-kth/lediga-
jobb/what:job/jobID:313805/type:job/where:4/apply:1

Profile page of advisor:
https://www.kth.se/profile/akto


From: M. Sergio Campobasso m.s.campobasso@lancaster.ac.uk
Date: February 11, 2020
Subject: PhD Position, Wind turbine Navier-Stokes CFD, Lancaster Univ


This cross-disciplinary project aims to substantially reduce Floating
Offshore Wind Turbine (FOWT) development uncertainty, which limits the
full exploitation of global wind energy resources. Unlike
fixed-bottom turbines, which cannot be installed deeper than 50
meters, multi-megawatt FOWTS can be used at any depth. However,
further from the coast is a more extreme environment, with FOWT
stability, efficiency and durability determined by the interaction of
aerodynamic loads on rotor and tower, and wave- and current-induced
loads on floater. Reliably assessing these loads is paramount to
designing the system control tasked with guaranteeing operational
targets. The current uncertainty affecting low-fidelity engineering
codes for FOWT development presents a significant challenge for the
long-term success of FOWTs. No research worldwide has yet developed
blade-pitch control functionalities in Navier-Stokes (NS) CFD
simulations required for conclusive reliability assessment and
improvement of modern FOWT engineering codes.

The project will address this challenge by developing novel
high-performance-computing-enabled NS-CFD functionalities in the FOWT
NS-CFD research code COSA. Development tasks are: a) implement
accurate sliding mesh functionalities in COSA to simulate individual
blade pitch control responding to wind gusts and wave-induced turbine
oscillations, b) develop Graphic-card-unit (GPU) computing into the
existing distributed-memory COSA. Objectives are: a) study
design-driving FOWT regimes using state-of-the-art engineering codes
and new GPU-supported and pitch-control-enabled FOWT COSA code, b)
analyse key FOWT physics, c) assess shortfalls of engineering codes
and correct their low-fidelity models. Further information is
available at
https://www.findaphd.com/phds/project/developing-high-fidelity-digital-twins-to-advance-
the-design-of-next-generation-floating-offshore-wind-turbines/?p118868


From: Kirstin Strokorb StrokorbK@cardiff.ac.uk
Date: February 16, 2020
Subject: PhD Positions, Cardiff's School of Mathematics


Cardiff's School of Mathematics invites applications for two EPSRC DTP
studentships at the interface of Statistics, Analysis and Machine
Learning.

Project (1) Spectral approximation of extremal dependence in high dimensions
Project (2) Sparsity and structures in large-scale machine learning problems

FURTHER DETAILS
https://www.findaphd.com/phds/project/epsrc-dtp-studentship-in-spectral-approximation-
of-extremal-dependence-in-high-dimensions/?p118943
https://www.findaphd.com/phds/project/epsrc-dtp-studentship-in-sparsity-and-structures-
in-large-scale-machine-learning-problems/?p119136

The School provides an excellent PGR environment. The latest PRES
ranks its overall satisfaction 3rd and its professional development
1st (out of 22). The training in these projects opens up outstanding
career prospects both in academia and industry. Each 3.5 year
studentship includes fees, stipend and RTSG at the UKRI rate.

Applicants should apply through the Cardiff University online
application portal for a Doctor of Philosophy in Mathematics with an
entry point of October 2020:
https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/mathemati
cs

Administrative enquiries: PGR Office Mathematics:
maths-pgr@cardiff.ac.uk Closing Date: 16 March 2020.


From: Jan ten Thije Boonkkamp j.h.m.tenthijeboonkkamp@tue.nl
Date: February 13, 2020
Subject: PhD Positions, TU Eindhoven, The Netherlands


A PhD position is available at Eindhoven University of Technology, in
the field of computational illumination optics / scientific computing.

The purpose of this research project is to develop advanced ray trace
methods for optical system design, based on the so-called phase space
representation of the optical system.

For more information, see:
https://jobs.tue.nl/en/vacancy/phd-scientific-computing-illumination-optics-843465.html


From: Armin Iske armin.iske@uni-hamburg.de
Date: February 16, 2020
Subject: PhD Positions: Modeling, Simulation & Optimization, Hamburg, Germany


The Hamburg Research Training Group (RTG2583) "Modeling, Simulation
and Optimization of Fluid Dynamic Applications" invites applications
for nine research associates (PhD students), where the positions may
be filled from April 1, 2020, or later. The salary is in accordance
with the German public service at salary level E13 TV-L, with 75% of
the standard working hours per week. The positions are on fixed-term
contracts for a period of three years.

We are looking for highly motivated team players, who have a sound
background in applied mathematics, with expertise in at least one of
the RTG's research areas Modeling, Simulation, or
Optimization. Preference is given to candidates with profound
experience in relevant applications in engineering, medicine, or
meteorology.

For details concerning the RTG's research profile, refer to the
website https://www.c3s.uni- hamburg.de/grk/research-profile.html, in
particular for the PhD projects of the research areas M, S, and O.

Applicants are requested to follow the instructions in the job
announcement
https://www.uni-hamburg.de/en/uhh/stellenangebote/wissenschaftliches-personal/29-02-
20-61-engl.pdf,
especially for the required application material.

The job announcement will be open until all nine PhD positions are
filled, but the first round of decisions will be made shortly after
the first deadline of February 29, 2020.



From: JNAAT jnaat@ictp.acad.ro
Date: February 15, 2020
Subject: Contents, J Numer Anal Approx Theory, 48 (2)


Journal of Numerical Analysis and Approximation Theory
published since 1972
http://ictp.acad.ro/jnaat

Professor Ion Pavaloiu at his 80'th anniversary, E. Catinas

On the unique solvability and numerical study of absolute value
equations, A. Mohamed

Approximate solution of nonlinear hyperbolic equations with
homogeneous jump conditions, M.O. Adewole

Extending the radius of convergence for a class of Euler-Halley type
methods, S. George, I.K. Argyros

Iterates of a modified Bernstein type operator, T. Catinas

Inequalities for the Finite Hilbert Transform of convex functions,
S.S. Dragomir

Analytic vs. numerical solutions to a Sturm-Liouville transmission
eigenproblem, C.-I. Gheorghiu, B. Zinsou

Explicit algebraic solution of Zolotarev's First Problem for
low-degree polynomials, H.J. Rack, R. Vajda


End of Digest
**************************