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NA Digest, V. 20, # 44

NA Digest Tuesday, November 17, 2020 Volume 20 : Issue 44


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: Steven Lee slee1681@gmail.com
Date: November 15, 2020
Subject: In Memory of Paul Saylor, March 19, 1939 - November 7, 2020


From Steve Lee:

Paul Saylor, Professor Emeritus in Computer Science at the University
of Illinois at Urbana-Champaign (UIUC), conducted pioneering work in
numerical analysis and solving large-scale scientific problems in
geophysics, medical imaging, astrophysics, and many other areas. He
joined the UIUC Department of Computer Science in 1967 after receiving
a BS from Stanford University in 1961, an MS from the University of
Texas in 1963, and a PhD from Rice University (all three degrees were
in Mathematics). Paul found great joy and success in
interdisciplinary work and helped the Department of Computer Science
gain international recognition in scientific computing research during
his 34 years of service. In the early 1990s, Paul's initial
collaborations in numerical relativity helped to provide event
signatures for the gravitational waves produced by the merger of black
holes and neutron stars. In 1996, Paul was a principal investigator
for the NASA Earth and Space Science Grand Challenge on Simulating the
Merger of Binary Neutron Stars. Two decades later, in September 2015,
gravitational waves from the collision between two black holes were
detected for the very first time. The world-wide collaborative
achievement was recognized with the 2017 Nobel Prize in Physics and
serves as a grand example of the type of computational research and
scientific advances that Paul enjoyed pursuing with colleagues.
Following Paul's retirement in 2001, he held positions with the
National Science Foundation as a Program Director for Computational
Mathematics and at the Louisiana State University Center for
Computation and Technology as a visiting professor. From the late
1970s through the 2000s, Paul was also a research consultant at
Lawrence Livermore, Lawrence Berkeley, Los Alamos, and Sandia National
Laboratories. The late Gene H. Golub (Stanford) was a close family
friend of the Saylors and a UIUC alumnus. In 2005, Gene endowed a UIUC
Computer Science faculty chair in honor of the Saylors' kindness,
support, and generosity, as well as their dedication to students and
the academic life. In 2015, UIUC recognized Paul's accomplishments
with a Distinguished Academic Achievement Alumni Award. Paul was
known by many for his keen sense of humor and good cheer. He was also
known to view numerical analysis as a metaphor and, for words of
encouragement, opine that "Life itself is an iterative process. Every
action you take creates an error, and you hope the errors go down over
time." Paul will be greatly missed by his family, friends, colleagues,
and students. Amen. Condolences to the family can be offered online
at https://pesaylor.com and the website will include information on
establishing a Paul Saylor Fellowship in Scientific Computing at UIUC.

From Joe Grcar:

When I was a graduate student at the University of Illinois in Urbana,
Paul Saylor was a young professor of Computer Science who along with
Ahmed Sameh got me hooked on numerical analysis. A Stanford
undergraduate and Rice graduate, Paul was proud to be on the Illinois
faculty. It was a great department with very strong programs in NA
and, of all things, parallel computing back when both were hot and
going to change the world---and they did. Maybe this is a good time to
memorialize the NA faculty (Gear, Sameh, Saylor, Skeel, Watanabe) and
the parallel computing faculty (Kuck, Lawrie, Sameh, Dan Slotnick who
many consider to be the father of parallel) and early luminaries (Don
Gillies, John Pasta founder of contract research for computing at both
the Department of Energy and the National Science Foundation, and Abe
Taub). The last three were connected to John von Neumann, but they are
another story. Paul was especially interested in department lore and
would regale with anecdotes about Dan and Abe and of course Gene
Golub. Paul died of a long illness this November 7 just a few days
short of his dear friend. Gene always said the best measure of Paul's
talents was the quality of his students.


From: Paola Gervasio paola.gervasio@unibs.it
Date: November 10, 2020
Subject: New Book, A Primer on Mathematical Modelling


A Primer on Mathematical Modelling, by Alfio Quarteroni and Paola
Gervasio. Springer Series UNITEXT, vol. 121, October 2020.
ISBN 978-3-030-44540-9, 238 pages.
https://www.springer.com/gp/book/9783030445409
https://doi.org/10.1007/978-3-030-44541-6

In this book, we start from simple real-life problems, formulate them
in terms of equations, transform equations into algorithms and
algorithms into programs to be executed on computers.

A broad variety of examples and exercises illustrates that properly
designed models can, e.g.: predict the way the number of dolphins in
the Aeolian Sea will change as food availability and fishing activity
vary; describe the blood flow in a capillary network; calculate the
PageRank of websites.

This book also includes a chapter with an elementary introduction to
Octave, an open-source programming language widely used in the
scientific community. This book is addressed to any student
interested in learning how to construct and apply mathematical models.

Table of Contents available here:
https://link.springer.com/content/pdf/bfm%3A978-3-030-44541-6%2F1.pdf


From: Kamryn Scrivens scrivens@siam.org
Date: November 13, 2020
Subject: New Book, A Software Repository for Gaussian Quadratures ...


Check out SIAM's latest book, A Software Repository for Gaussian
Quadratures and Christoffel Functions, Walter Gautschi!

This companion piece to the author's 2018 book, A Software Repository
for Orthogonal Polynomials, focuses on Gaussian quadrature and the
related Christoffel function. The book makes Gauss quadrature rules of
any order easily accessible for a large variety of weight functions
and for arbitrary precision. It also documents and illustrates known
as well as original approximations for Gauss quadrature weights and
Christoffel functions. The repository contains 60+ datasets, each
dealing with a particular weight function. Included are classical,
quasi-classical, and, most of all, nonclassical weight functions and
associated orthogonal polynomials.

2020/ xviii + 134 pages/ Softcover/ ISBN: 978-1-611976-34-2/ Order
Code: SE32

List Price: $59.00
SIAM Member Price: $41.30

Link to the book: https://bookstore.siam.org/SE32
Browse more SIAM books by visiting: https://bookstore.siam.org



From: Kamryn Scrivens scrivens@siam.org
Date: November 13, 2020
Subject: New Book, Data Clustering: Theory, Algorithms, and Applications


Check out SIAM's new book, Data Clustering: Theory, Algorithms, and
Applications, Second Edition, by Guojun Gan, Chaoqun Ma, and Jianhong
Wu!

This book discusses Data clustering, also known as cluster analysis,
an unsupervised process that divides a set of objects into homogeneous
groups. Since the publication of the first edition of this monograph
in 2007, development in the area has exploded, especially in
clustering algorithms for big data and open-source software for
cluster analysis. This second edition reflects these new developments.

2020/ xxiv + 406 pages/ Softcover/ ISBN: 978-1-611976-32-8/ Order
Code: MN05

List Price: $94.00
SIAM Member Price: $65.80

Link to the book: https://bookstore.siam.org/MN05
Browse more SIAM books by visiting: https://bookstore.siam.org


From: Kamryn Scrivens scrivens@siam.org
Date: November 13, 2020
Subject: New Book, PETSc for PDEs: Numerical Solutions in C and Python


Check out SIAM's new book, PETSc for Partial Differential Equations:
Numerical Solutions in C and Python, by Ed Bueler!

The Portable, Extensible Toolkit for Scientific Computation (PETSc) is
an open-source library of advanced data structures and methods for
solving linear and nonlinear equations and for managing
discretizations. This book uses these modern numerical tools to
demonstrate how to solve nonlinear partial differential equations
(PDEs) in parallel. It starts from key mathematical concepts, such as
Krylov space methods, preconditioning, multigrid, and Newton's
method. In PETSc these components are composed at run time into fast
solvers.

2020/ xvi + 391 pages/ Softcover/ ISBN: 978-1-611976-30-4/ Order Code:
SE31

List Price: $94.00
SIAM Member Price: $65.80

Link to the book: https://bookstore.siam.org/SE31
Browse more SIAM books by visiting: https://bookstore.siam.org



From: Iman Farahbakhsh i.farahbakhsh@aut.ac.ir
Date: November 16, 2020
Subject: New book, Krylov Subspace Methods, Incompressible Fluid Flow Solve=

rs

A succinct and complete explanation of Krylov subspace methods for
solving systems of equations

Krylov Subspace Methods with Application in Incompressible Fluid Flow
Solvers (1st ed. 2020 John Wiley & Sons) by Iman Farahbakhsh, is the
most current and complete guide to the implementation of Krylov
subspace methods for solving systems of equations with different types
of matrices.

Written in the simplest language possible and eliminating ambiguities, the
text is easy to follow for post-grad students and applied mathematicians
alike. The book covers a breadth of topics, including:
- The different methods used in solving the systems of equations with
ill- conditioned and well-conditioned matrices
- The behavior of Krylov subspace methods in the solution of systems
with ill-posed singular matrices
- Expertly supported with the addition of a companion website hosting
computer programs of appendices

The book includes executable subroutines and main programs that can be
applied in CFD codes as well as appendices that support the results
provided throughout the text. There is no other comparable resource to
prepare the reader to use Krylov subspace methods in incompressible
fluid flow solvers.

The link to the excerpt of book is at:
https://www.wiley.com/en-
ir/Krylov+Subspace+Methods+with+Application+in+Incompressible+Fluid+Flow+So=
lvers-p-
9781119618683



From: Maria Nestola nestom@usi.ch
Date: November 10, 2020
Subject: Cardiac Simulations, ONLINE, Nov-Dec 2020


It is a pleasure to announce the Winter School on Cardiac Simulations
2020 that will be held online from 30th November to 4th December 2020.

Topics
- Geometry Modeling and Mesh Generation of the Cardiac Geomtery
- Space-Time Approaches in Cardiac Electrophysiology
- Electromechanics
- Optimization and Inversion Problems Applied to Electrophysiology
- Fluid-Structure Interaction and Heart Valves

Details about program and speakers can be found on the web page:
http://fomics.usi.ch/index.php/workshops/15-ics/304-wintercardiac


From: Juncai He juncaihe92@gmail.com
Date: November 10, 2020
Subject: Mathematical Machine Learning and Application, ONLINE, Dec 2020


We are pleased to announce that we are resuming the "Workshop on
Mathematical Machine Learning and Applications", as a live ZOOM
meeting from December 14-16, 2020 (see
http://sites.psu.edu/ccma/2020workshop/). Since the cancellation due
to the pandemic, we had been hoping to wait out Covid-19 to hold the
Workshop at Penn State face-to-face in the old fashioned way in the
not- so-distant future, but the current situation does not look very
optimistic.

To participate in the workshop, please register at your earliest
possible convenience by filling out the registration form that can be
accessed from http://sites.psu.edu/ccma/2020workshop/ The registration
is free. The invitations to zoom talks will be distributed by email to
registered participants.

In addition, if you would like to communicate your work that is
relevant to the workshop theme, we welcome you to submit a poster. We
will advertise a link to your poster and provide a time slot where
interested participants can talk to you in your zoom link (which we
will only broadcast via email to the registered participants). If you
are interested to participate in the poster, please indicate so in the
online registration by providing the poster title, a zoom link for the
poster session, and send us your poster (pdf file) that we can post
online by December 1, 2020.


From: Pamela Bye pam.bye@ima.org.uk
Date: November 12, 2020
Subject: IMA Maths in Defence, ONLINE, Mar 2021


6th IMA Conference on Mathematics in Defence and Security
Tuesday March 30 - Wednesday March 31, 2021
Online Conference via Zoom - Daily Delegate Rate Available
https://ima.org.uk/12970/6th-ima-conference-on-mathematics-in-defence-and-s=
ecurity/
Mathematics Adapting to a Changing World

Science and technology play an increasingly important role in
supporting the defence and security industries. Mathematics is
fundamental to these two disciplines, providing a framework for
understanding and solving the varied and complex problems faced, and
to model systems and scenarios. These models are then used to estimate
system performance, find weaknesses in real systems, and suggest
improvements. This conference brings together a wide variety of
mathematical methods with defence and security applications. The
programme will include keynote speakers, presentations and poster
sessions, as well as refreshment breaks for informal discussions. It
is aimed towards mathematicians, scientists and engineers from both
industry and academia, in addition to government and military
personnel who have an interest in how mathematics can be applied to
defence and security problems. This will be the sixth Mathematics in
Defence and Security, conference albeit the first with 'Security'
explicitly mentioned in the title; the previous conferences each
attracted over 100 delegates from a wide range of organisations
including Dstl, QinetiQ, AWE, BAE Systems, Thales, Rolls Royce, the
IMA, the MoD, academia and international parties. In response to the
Covid-19 situation, this event will be held virtually via Zoom
Webinar. Our intention is that the scientific programme will remain
very similar to that of an in-person event.


From: Pamela Bye pam.bye@ima.org.uk
Date: November 12, 2020
Subject: Mathematics of Operational Research ONLINE, Apr 2021


3rd IMA and OR Society Conference on Mathematics of Operational
Research, Tuesday April 20 - Friday April 23, 2021
Online Conference via Zoom - Daily Delegate Rate Available
https://ima.org.uk/14347/14347/
Innovating Mathematics for New Industrial Challenges

Building on the success of the two previous conferences held in 2017
and 2019 this conference will draw together the considerable community
of researchers and practitioners who develop new mathematics of
relevance to, and which underpin applications in Operational Research
(OR). It will take a comprehensive view, it will showcase activity
from across OR, and will welcome both contributions which have a clear
application focus as well as those which are theoretically driven.
Contributions will be expected to showcase both significant new
mathematics and OR relevance. The conference will host plenaries from
leading international experts.

Invited Speakers: Jakob Blaavand (The Smith Institute); Claudia
D'Ambrosio (Ecole Polytechnique, Paris); Kevin Glazebrook (Lancaster
University); Nick Harris (Dstl)+; Dolores Romero Morales (Copenhagen
Business School); Professor Edmund Burke (University of Leicester)

Call for Papers: Papers will be considered for the conference based on
a 300 word abstract for oral presentation. Abstracts should be
submitted by Thursday 31 December 2020 via https://my.ima.org.uk/

Call for Posters: Papers will be considered for the conference based
on a 300 word abstract for poster presentation. Posters are encouraged
particularly from PhD students, and a prize for the best poster
presentation will be awarded. Abstracts should be submitted by Friday
26 February 2021 via https://my.ima.org.uk/



From: luca formaggia luca.formaggia@polimi.it
Date: November 11, 2020
Subject: SIAM GS21, Italy, Jun 2021


The deadline for submission of Minisymposia for the 2021 edition of
the SIAM Conference on Mathematical and Computational Issue in the
Geosciences (SIAMGS21) is approaching. The conference will take place
at Politecnico di Milano Italy, on June 21- 24 2021. Online
presentations will be possible to account for possible travel
restrictions or other difficulties of movement due to the present
pandemic crisis.

The deadline is the 23rd of November 2020. Further information is
available on https://www.siam.org/conferences/cm/conference/gs21.


From: Fadil Santosa fsantos9@jhu.edu
Date: November 16, 2020
Subject: Faculty and Postdoc Positions, Johns Hopkins


The Department of Applied Mathematics and Statistics (AMS) at Johns
Hopkins University has several openings:

- 2 tenure-track positions -- data science, optimization
- AMS Assistant Professorship
- 2 AMS Industrial Postdoctoral Fellowship
- AMS-Agora Postdoctoral Fellowship
- Data Science Lecturer

The positions are advertised on Mathjobs.org where more details can be
found.



From: Sheehan Olver s.olver@imperial.ac.uk
Date: November 12, 2020
Subject: Lecturer/Senior Lecturer Position, NA/Scientific Computing, UK


The Department of Mathematics at Imperial College London seeks
applications for a permanent academic position in numerical analysis
and/or scientific computing that includes links to topics in the
Mathematics of Planet Earth. The appointment will be made at the
level of Lecturer or Senior Lecturer (equivalent to
assistant/associate professor).

Further information available at
https://www.imperial.ac.uk/jobs/description/NAT00801/lecturersenior-lecture=
r-numerical-
analysis-andor-scientific-computing



From: Marion Weinzierl marion.weinzierl@durham.ac.uk
Date: November 12, 2020
Subject: Research Software Engineer Position, Durham Univ, UK


Advanced Research Computing at Durham University, UK, is looking for a
Research Software Engineer (RSE) to join their central RSE team. If
you have an interest in applying your experience in software
development and High Performance Computing to cutting edge research,
come and join us! More information on the position and how to apply:
https://durham.taleo.net/careersection/du_ext/jobdetail.ftl?job=3D20000681


From: Heike Sill heike.sill@wias-berlin.de
Date: November 17, 2020
Subject: Research Assistant Position, WIAS, Berlin


WIAS invites in the Research Group "Numerical Mathematics and
Scientific Computing" (Head: Prof. Dr. Volker John) applications for a
Research Assistant (f/m/d) (Ref. 20/24). to be filled at January 1st,
2021. The position is associated with the research project
"Mathematical framework for MR Poroelastography" within the Berlin
Mathematics Research Center MATH+. The purpose of the position is to
carry out research in the field of numerical methods for mathematical
image processing. Specifically, the project focuses on the
development, analysis, and implementation of algo-rithms to support
the identification of biological tissue parameters using medical
imaging. The project is a collaboration between two WIAS research
groups ("Numerical Mathematics and Scientific Computing" - PI Alfonso
Caiazzo and "Stochastic Algorithms and Nonparamet-ric Statistics" - PI
Karsten Tabelow) and the Research group "Elastography" at the Charite
(PI Prof. Dr. I. Sack). Prerequisite is a master diploma or doctorate
degree in applied mathematics, as well as expe-rience in at least one
of the following areas: discretization of PDEs, scientific computing,
im-age processing, data assimilation methods. Programming skills and
expertise in implementa-tion of numerical methods are beneficial. The
successful candidate will work in an interdisciplinary environment,
and a close interaction with experimentalists is expected. Please
direct your queries to Dr. A. Caiazzo (Alfonso.Caiazzo@wias-berlin.de)
or Dr. Karsten Tabelow (Karsten.Tabelow@wias-berlin.de). The position
is remunerated according to TVoD and is limited until December 31st,
2021. Please, see here for more information:
https://short.sg/j/8093011


From: Adelia Sequeira adelia.sequeira@math.tecnico.ulisboa.pt
Date: November 10, 2020
Subject: Postdoc Position, Applied Mathematics, Portugal


The Center for Computational and Stochastic Mathematics (CEMAT-
IST/ULisboa) invites applications for a postdoctoral position in
Applied Mathematics, on research areas of Applied and Numerical
Analysis or Mathematical Modeling in Biomedicine. Applicants must
hold a PhD in Mathematics or in another field with a strong component
in Applied Mathematics or Numerical Analysis to work in specific
topics relevant to CEMAT research interests. The PhD should not have
been obtained before November 2017. The position is available for one
year, starting January 2021, with the possibility of extension for one
more year, subject to approval. The salary is 1616 Euro/month (tax
free). No teaching duties are associated with this position.

Applicants should submit all required documents electronically to
bolsas@drh.tecnico.ulisboa.pt, before November 23, 2020 (Reference:
BL104/2020_IST-ID). Job reference at Eracareers (in Portuguese):
UIDP/04621/2020 - (BL104/2020_IST-ID)

Information about the required documents is available at CEMAT
website: http://cemat.tecnico.ulisboa.pt/calls


From: Carola Sch=C3=B6nlieb cbs31@cam.ac.uk
Date: November 12, 2020
Subject: Postdoc Position, Inverse Problems and ML for Cryo-EM, Cambridge


We invite applications for a Post-Doctoral Research Associate to work
in the Cambridge Image Analysis group at the Department of Applied
Mathematics and Theoretical Physics, University of Cambridge.

The Cambridge Image Analysis Group (CIA) specialises in the
mathematics of inverse problems in imaging, digital image and video
processing using partial differential equations, variational methods
and machine learning. Our research ranges from the modelling and
analysis of such methods to their computational realisation and
application.

The research activity of the successful candidate will take place
within the CIA, and more specifically, within a multidisciplinary
project on inverse problems related to cryo-EM. This project is a
collaboration between the CIA, the group of Sjors Scheres at the
Laboratory for Molecular Biology (Cambridge), Ozan Oktem (KTH and
Edinburgh) and the Alan Turing Institute. The particular focus of the
project is the design of hybrid mathematical and machine learning
methods for cryo-EM image and atomistic model reconstruction. This is
an exceptional opportunity to conduct ambitious research whilst
collaborating with an interdisciplinary team.

Application deadline: 20 November 2020

More details on the post and application procedure:
https://www.jobs.cam.ac.uk/job/27210/


From: John Maddocks john.maddocks@epfl.ch
Date: November 11, 2020
Subject: Postdoc Position, Numerics of the Mechanics of Knots, EPFL


A postdoc in the group of John Maddocks
https://lcvmwww.epfl.ch/index.php is available to work on the
mechanics of knots within a three way collaboration involving reduced
order (string and rod) modelling, isogeometric finite element
computation and analysis (the group of Professor Annalisa Buffa
https://www.epfl.ch/labs/mns/), and experiment (the group of Professor
Pedro Reis https://www.epfl.ch/labs/flexlab/) . The project would
involve continuation of the lines of research that are described in
two recent pre-prints available from the arXiv
https://arxiv.org/abs/2010.08773 and https://arxiv.org/abs/2011.03254

This position would have primary responsibility for developing a
numerical code for direct treatment of reduced order models, where the
systems to be solved are two point boundary value problems, but in the
presence of both delayed and advanced arguments. Thus substantial
expertise in code development is required, in addition to at least
some training in continuum mechanics.

The position is available immediately, with a strong preference to
start before March 1, 2021, in which case the position will be for one
year with renewal for a second year on mutual agreement. Application
by email to john.maddocks@epfl.edu, including the names and email
addresses of three recommendation letter writers (but letters should
NOT be sent in the first instance).


From: J. Lu jianlu1979@163.com
Date: November 12, 2020
Subject: Postdoc Positions, Computer Vision/Optimization/ML, SZU


Job Type: Full-Time for Postdoc
Duration: 2 years
Number of Position: 2 Positions

Requirements: less than 35 years old and have obtained Ph.D. degrees
within no more than 3 years.

Salary for Postdoc: about 330,000 RMB -- 350,000RMB per year.

Closing Date: Open Until Filled.

Description: We have projects that are looking for Postdoc in Computer
Vision, Image/Video/Signal Processing/Analysis, Machine Learning,
Optimization, etc.

We have no teaching tasks.

Promotors: Prof. Jian Lu (Shenzhen Key Laboratory of Advanced Machine
Learning and Applications, Shenzhen University, email:
jianlu@szu.edu.cn; jianlu1979@163.com)

Those who are interested in Postdoc and Research Scientist please send
their C.V. to Prof. Dr. Jian Lu (email: jianlu@szu.edu.cn;
jianlu1979@163.com).



From: Bob Anderson anderson110@llnl.gov
Date: November 12, 2020
Subject: Sidney Fernbach Postdoc Postion, LLNL


The Sidney Fernbach Postdoctoral Fellowship in the Computing Sciences
is a highly competitive postdoctoral position that is awarded to
candidates with exceptional talent, scientific track records, and
potential for significant achievements in computational mathematics,
computer science, data science, and/or scientific computing.
Application period open until Dec. 1st, 2020.

https://computing.llnl.gov/fernbach.


From: Knut Klingbeil knut.klingbeil@io-warnemuende.de
Date: November 12, 2020
Subject: PhD Position, Numerical Ocean Modelling at IOW, Germany


https://www.io-warnemuende.de/tl_files/news/stellenausschreibungen/2020/en_=
Phy-12-
2020-wiss-mit-20201106.pdf

Please see above URL for an interesting PhD position in model
development and analysis. The project is part of a large German
collaborative research center on energy transfers in atmosphere and
ocean (https://www.trr-energytransfers.de/). Our project develops
novel concepts for reducing spurious numerical mixing in ocean models
and investigates its impacts on the energetic consistency of the
models.


From: Falk Hante falk.hante@hu-berlin.de
Date: November 16, 2020
Subject: PhD Position, Optimal Control, HU Berlin


The Humboldt-Universitat zu Berlin, Department of Mathematics, invites
applications for a PhD position in the broader scope of optimization
for energy networks within the Cluster of Excellence MATH+ and in
collaboration with the Weierstrass-Institute for Applied Analysis and
Stochastics (WIAS) and the Zuse Institute Berlin (ZIB).

The research concerns mathematics at the interface and beyond the
state-of-the-art in combinatorial optimization and optimal control of
partial differential equations.

Requirements: completed university degree in mathematics or related
fields; fundamental knowledge in partial differential equations and
nonlinear optimization; experience in combinatorial optimization and
numerics are desirable; very good English skills.

Application deadline: December 9th, 2020.

The full advertisement is available at https://hu.berlin/DR20520

For further information, please contact Falk Hante, falk.hante (at)
hu-berlin.de



From: Recruitment BCAM recruitment@bcamath.org
Date: November 10, 2020
Subject: PhD Positions, BCAM


We wish to inform you that the call for the doctoral fellowship
programme INPhINIT "la Caixa" is now open. This programme is devoted
to attracting talented Early-Stage Researchers - of any nationality -
who wish to pursue doctoral studies in Spanish or Portuguese
territory, and it's sponsored by "la Caixa" Foundation. The programme
is divided into two different frames:

Doctorate INPhINIT Incoming: 35 PhD fellowships. Candidates must have
resided or carried out their main activity in Spain for less than 12
months in the last 3 years.

Doctorate INPhINIT Retaining: 30 PhD Fellowships. Candidates must have
resided or carried out their main activity in the same country, either
Spain, or Portugal, more than 12 months in the last 3 years. As a
Severo Ochoa center of excellence, the BCAM offers 6 PhD fellowships
in each frame of the programme, on the following project theses:

1. PhD position in Analysis of PDEs
2. PhD position in Computational Mathematics
3. PhD positon in Mathematical Physics
4. PhD position in Mathematical Modeling
5. PhD Positon in Artificial Intelligence
6. PhD position in Data Science

If you wish to apply for one of the positions offered at BCAM, but
have doubts about the process, visit our website and don't hesitate to
contact us in recruitment@bcamath.org.

Deadlines: 4 February, 2021 (Incoming) | 25 February, 2021 (Retaining)

Apply at: http://www.bcamath.org/es/


From: Julien Launay julien@lighton.ai
Date: November 10, 2020
Subject: Intern Position, HPC for AI Engineering, LightOn, France


AI-hardware startup LightOn has an opening in its NLP team for an
internship focused on HPC for AI Engineering. Our vision. At LightOn,
we are co-designing photonic hardware and algorithms to unlock
transformative artificial intelligence applications. We seek to change
the world with machine learning and photonic computing, and we are
looking for passionate people to join us in that mission. Your
mission. As an HPC/AI engineering intern, you will be joining a
tightly knit team furthering the development of extreme-scale NLP,
seeking to enable trillion-parameter models with human level
performance on real- world tasks. To do this, you will help us design,
implement, and scale research ideas, building efficient distributed
pipelines for extreme-scale NLP: from data pre-processing, to the
training and evaluation of state-of- the-art models. We are looking
for proactive and self-directed individuals, at ease in a fast paced
work environment with tight feedback loops. We are not
credential-driven. We want to understand your unique background and
what you can bring to the team. We are excited about people who may
not yet already have a track-record in the field, but who show high
potential, enthusiasm, and a willingness to grow. Benefits. Salary
according to your profile, meal vouchers, and flexible
hours. Successful interns may be offered a position on the team, with
an option to fund their Ph.D. Everyone is welcome. Depending on the
global health situation, the internship may either take place in our
offices in Paris, or remotely. You should be eligible to work in the
EU, but exceptional candidates will also be considered.

Apply at ml-internship@lighton.ai, or visit
https://lighton.ai/careers/.


From: Julien Launay julien@lighton.ai
Date: November 10, 2020
Subject: Intern Position, NLP Research, LightOn, France


AI-hardware startup LightOn has an opening in its NLP team for an
internship focused on NLP research. Our vision. At LightOn, we are
co-designing photonic hardware and algorithms to unlock transformative
artificial intelligence applications. We seek to change the world with
machine learning and photonic computing, and we are looking for
passionate people to join us in that mission. Your mission. As an NLP
research intern, you will be joining a tightly knit team furthering
the development of extreme-scale NLP, seeking to enable
trillion-parameter models with human level performance on real-world
tasks. To do this, you will help us research breakthroughs in training
paradigm, Transformer architectures, language modelling, and extreme-
scale machine learning, among other topics. We are looking for
creative and audacious individuals, interested in pragmatic, simple,
and scalable research ideas. We are not credential-driven. We want to
understand your unique background and what you can bring to the
team. We are excited about people who may not yet already have a
track-record in the field, but who show high potential, enthusiasm,
and a willingness to grow. Benefits. Salary according to your
profile, meal vouchers, and flexible hours. Successful interns may be
offered a position on the team, with an option to fund their Ph.D.
Everyone is welcome. Depending on the global health situation, the
internship may either take place in our offices in Paris, or
remotely. You should be eligible to work in the EU, but exceptional
candidates will also be considered.

Apply at ml-internship@lighton.ai, or visit
https://lighton.ai/careers/.


From: Fernando De Ter=C3=A1n fteran@math.uc3m.es
Date: November 17, 2020
Subject: Special Issue, CMM, Linear Algebra, Matrix Analysis, and Applicati=

ons

We would like to draw your attention to a special issue of the journal
Computational and Mathematical Methods (CMM) on Linear Algebra, Matrix
Analysis, and Applications

https://onlinelibrary.wiley.com/journal/25777408

CMM is an interdisciplinary journal dedicated to publishing the
world's top research in the expanding area of computational
mathematics, science and engineering. The journal connects methods in
business, economics, engineering, mathematics and computer science in
both academia and industry. Mathematical modelling of problems arising
in engineering, physics, mechanics, etc. leads in many cases, directly
or after a discretization process, to solving systems of linear
equations of finite dimension. Besides, other problems of Numerical
Analysis, such as approximation, interpolation, nonlinear systems,
computation of eigenvalues, etc., lead to the resolution of large
systems. Thus, it is essential to develop efficient numerical Linear
Algebra methods, in both sequential and parallel environments, to
solve them. The main purpose of this Special Issue is to collect the
most recent methods for solving such problems and applications from a
multidisciplinary approach. The guest editors of this special issue
are Luca Bergamaschi (luca.bergamaschi@unipd.it), Fernando De Teran
(fteran@math.uc3m.es), and Pedro Alonso (palonso@uniovi.es). Authors
should follow the author guidelines. All papers must be submitted via
the online system https://mc.manuscriptcentral.com/compandmathmethods

Authors need to make sure that they specify the paper is a
contribution for "Special Issue on Linear Algebra, Matrix Analysis and
Applications" and select the article type, when prompted. All papers
will be peer reviewed according to the high standards of CMM.

Deadline for submissions: June 30, 2021.

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