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NA Digest, V. 20, # 47

NA Digest Friday, December 11, 2020 Volume 20 : Issue 47


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: Des Higham d.j.higham@ed.ac.uk
Date: December 09, 2020
Subject: IMA Fox Prize 2021


Final reminder that the IMA Fox Prize has a submission deadline of
January 31st 2021. For details, go to
https://ima.org.uk/14623/ima-fox-prize-2021-call-for-papers/


From: GEORGE ANASTASSIOU ganastss2@gmail.com
Date: December 05, 2020
Subject: Riesz Award, George Anastassiou


George Anastassiou received the Riesz award at
https://ntmsci.com/Conferences/OCMFCA2020/ a virtual fractional
calculus and applications international conference in Istanbul,
Turkey, December 4-6, 2020. He was also one of the main keynote
speakers.


From: Ren=C3=A9 Fritze rene.fritze@wwu.de
Date: December 10, 2020
Subject: Software Release, pyMOR 2020.2


The pyMOR development team is happy to announce the release of version
2020.2 of pyMOR (www.pymor.org).

pyMOR is a software library for building model order reduction
applications with the Python programming language. Implemented
algorithms include reduced basis methods for parametric linear and
non-linear problems, as well as system-theoretic methods such as
balanced truncation or IRKA. All algorithms in pyMOR are formulated in
terms of abstract interfaces for seamless integration with external
PDE solver packages. Moreover, pure Python implementations of finite
element and finite volume discretizations using the NumPy/SciPy
scientific computing stack are provided for getting started quickly.

Highlights of this release are:
- Parameter derivatives of solutions and outputs
- Neural network reductor for non-stationary problems
- New tutorials

You can read the full release notes at
https://docs.pymor.org/2020.2.0/release_notes/all.html



From: Claude Brezinski claude.brezinski@univ-lille.fr
Date: December 05, 2020
Subject: New Book, Extrapolation and Rational Approximation


Claude Brezinski, Michela Redivo-Zaglia
Extrapolation and Rational Approximation
The Works of the Main Contributors

Springer Nature, Switzerland, 2020
https://www.springer.com/gp/book/9783030584177

This book paints a fresco of the field of extrapolation and rational
approximation over the last several centuries to the present through
the works of their primary contributors. It can serve as an
introduction to the topics covered, including extrapolation methods,
Pade approximation, orthogonal polynomials, continued fractions,
Lanczos-type methods etc.; it also provides in depth discussion of the
many links between these subjects. A highlight of this book is the
presentation of the human side of the fields discussed via personal
testimonies from twelve contemporary researchers, their anecdotes, and
their exclusive remembrances of some of the "actors." This book shows
how research in this domain started and evolved. Biographies of
eighteen other scholars encountered have also been included. An
important branch of mathematics is described in its historical
context, opening the way to new developments. After a mathematical
introduction, the book contains a precise description of the
mathematical landscape of these fields spanning from the 19th century
to the first part of the 20th. After an analysis of the works
produced after that period (in particular those of Richardson, Aitken,
Shanks, Wynn, and others), the most recent developments and
applications in several domains (theoretical physics, number theory,
computer science and control theory, combinatorics, statistics,
integrable systems, general relativity) are reviewed.

Chapters: 1-General overview; 2-Mathematical background; 3-The
mathematical landscape up to the mid-twentieth century; 4-The life of
Peter Wynn; 5-The works of Peter Wynn; 6-Commentaries and further
developments; 7-Testimonies; 8-Vitae; As a conclusion;
Acknowledgments; Bibliographies; Index



From: GEORGE ANASTASSIOU ganastss2@gmail.com
Date: December 05, 2020
Subject: New Book, Generalized Fractional Calculus


Generalized Fractional Calculus: new advancements and applications
George A. Anastassiou, SPRINGER, HEIDELBERG, NEW YORK, 2021

Computational and fractional analysis play more and more a central
role in now days either by themselves or because they cover a great
variety of applications in the real world. We apply generalized
fractional differentiation techniques of Caputo, Canavati and
Conformable types to a great variety of integral inequalities e.g. of
Ostrowski and Opial types, etc. Some of these are extended to Banach
space valued functions. These inequalities have also great impact in
numerical analysis, stochastics and fractional differential
equations. We continue with generalized fractional approximations by
positive sublinear operators which derive from the presented Korovkin
type inequalities, we include also abstract cases. We present also
multivariate complex Korovkin quantitative approximation theory. It
follows -fractional integral inequalities of Ostrowski and Polya
types. Our results are weighted so they provide a great variety of
cases and applications. The second part of the book deals with the
quantitative fractional Korovkin type approximation of stochastic
processes. We lay there the foundations of stochastic fractional
calculus. We consider both Caputo and Conformable fractional
directions and we derive regular and trigonometric results. Our
positive linear operators can be expectation operator commutative or
not. This book results are expected to find applications in many areas
of pure and applied mathematics and stochastics. As such this
monograph is suitable for researchers, graduate students, and seminars
of the above disciplines, also to be in all science and engineering
libraries.



From: Kyle Davis kyle.davis@ipvs.uni-stuttgart.de
Date: December 10, 2020
Subject: preCICE Workshop, ONLINE, Feb 2021


After the success of the 1st international preCICE Workshop in 2020,
we are happy to announce the 2nd international preCICE Workshop on
February 22-25, 2021, hosted virtually by the University of Stuttgart.

In the three (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. There will also be more Introductory Workshop sessions
and a full day of hands-on user support to help new users get to know
preCICE, and to help more experienced users with challenging
applications.

We are looking for talks focusing on coupling aspects that can be
transferred among different application fields, preCICE adapters, and
more preCICE-related topics. The allocated time is not yet fixed, but
will vary between 15-25 minutes. Work in progress? Your talk is also
welcome! Please submit a short abstract by January 7th at
https://www.precice.org/preCICE2021/

This is a non-profit, academic conference, but we must still ask for a
small fee. We are able to waive the registration fee for those that do
not have access to funding. Please see the registration page at
https://www.precice.org/preCICE2021/ for more information

Early bird registration ends 7th January, and late registration by 15
February.



From: Raimondas Ciegis rc@vgtu.lt
Date: December 03, 2020
Subject: Mathematical Modelling and Analysis, Lithuania, Jun 2021


25nd International Conference
Mathematical Modelling and Analysis (MMA2021)
June 1 -- 4 2021, Druskininkai, Lithuania

The Conference focuses on various aspects of mathematical modelling
and usage of numerical methods in solving modern problems of science
and engineering. It aims, in particular, at fostering a cooperation
among practitioners and theoreticians in this field.

The Basic Topics: Analysis of numerical methods for solving problems
of mathematical physics; Application of numerical methods to
industrial and engineering problems; Inverse and Ill-Posed Problems;
Analysis and applications of ODE and PDE problems; Parallel algorithms
and parallel computing; Deep learning and applications Scientific
computation; Financial mathematics and mathematics in economics.
Applied linear algebra and number theory

Registration and abstract submission: March 15, 2021.
Notification of acceptance: March 30, 2021.

Questions regarding MMA2021 should be addressed to e-mail:
mma2021@vgtu.lt

Information about the conference MMA2021 can be found also on the home
page at http://vgtu.lt/mma2021/


From: Philip Knight p.a.knight@strath.ac.uk
Date: December 04, 2020
Subject: Numerical Analysis, Scotland, Jun 2021


Registrations are now live for NACONF 2021 (www.naconf.org.uk) and
we're actively soliciting proposals for minisymposia.

Please note that we aim to hold the conference in person in Glasgow in
June. Should this not be possible, we will cancel the conference and
the next event will take place in 2023. We anticipate taking a final
decision on or before 31 March 2021.

At the moment we are still awaiting some information about prices from
our accommodation providers on campus so please note that the prices
quoted are provisional. We do not expect them to change much but we
will not take any payments until the prices are finally confirmed.


From: John R. Gilbert gilbert@cs.ucsb.edu
Date: December 10, 2020
Subject: Applied and Computational Discrete Algorithms, USA, Jul 2021


First SIAM Conference on Applied and Computational Discrete Algorithms

July 19-21, 2021, Spokane, Washington
Submission deadline: March 1, 2021

The SIAM Conference on Applied and Computational Discrete Algorithms
is a new conference that brings together researchers who design and
study combinatorial and graph algorithms motivated by applications.
ACDA is organized by SIAM under the auspices of the SIAM Activity
Group on Applied and Computational Discrete Algorithms. ACDA subsumes
the long-running series of SIAM Workshops on Combinatorial Scientific
Computing, and expands its scope to applications of discrete models
and algorithms across all areas in the physical and life sciences and
engineering, the social and information sciences, and anywhere
discrete mathematical techniques are used to formulate and solve
problems in the world. ACDA invites papers on the formulation of
combinatorial problems from applications; theoretical analyses; design
of algorithms; computational evaluation of the algorithms; and
deployment of the resulting software to enable applications.

The conference will include a refereed proceedings and additional
submitted talks that are not part of the proceedings. It will also
include invited talks, an industrial problem session, a poster
session, and one or two minitutorials to introduce general topical
areas in applied combinatorics. Awards will be given for best paper,
best poster, and best student presentation.

Submission instructions, invited speakers, and other details are at
https://www.siam.org/conferences/cm/conference/acda21


From: Bernd Simeon simeon@mathematik.uni-kl.de
Date: December 02, 2020
Subject: Applied and Industrial Mathematics Days, Germany, Oct 2021


The first Kaiserslautern Applied and Industrial Mathematics Days -
KLAIM with focus on the modeling, simulation and optimization of
digital twins will take place in Kaiserslautern, Germany, from October
11-13, 2021. The purpose of this workshop is to provide a forum for
applied mathematicians from academia, research labs and industry to
exchange ideas and to showcase recent results.

The workshop is hosted jointly by the Fraunhofer-Institute for
Industrial Mathematics and the Department of Mathematics at the TU
Kaiserslautern. The program will be structured along the three tracks
1. Hybrid System Simulation
2. Multiscale Methods and Model Order Reduction
3. Integration of Optimization and Data Science

Plenary speakers include Annalisa Buffa (EPF Lausanne), Olivier Bruls
(Liege Universite), Dimitris Bertsimas (MIT), Dick den Hertog (Tilburg
University), Mario Ohlberger (Universitat Munster).

Registration and further details will be announced through the second
announcement in April 2021. In view of the ongoing COVID-19 pandemic,
the final decision to hold the conference will be made in June 2021.
Find out more at:
www.itwm.fraunhofer.de/en/fairs_events/2021/2021_10_11_KLAIM.html

For questions write to us at: simeon@mathematik.uni-kl.de



From: Christof Melcher melcher@rwth-aachen.de
Date: December 08, 2020
Subject: Full Professor Position, Applied Mathematics, RWTH Aachen


We would like to draw your attention to our announcement of a Full
(W3) Professorship in Applied Mathematics at RWTH Aachen University,
see the following link:
https://www.rwth-aachen.de/global/show_document.asp?id=3Daaaaaaaaavfmewa

Please do not hesitate to contact us if you have any questions.


From: Theresa Keeler cmps.okanagan@ubc.ca
Date: December 07, 2020
Subject: Full Professor Position, Computer Science, UBC - Okanagan


The University of British Columbia - Okanagan Campus is seeking
applications for a Tenure Track position in Computer Science at the
rank of Full Professor. Preference will be given to candidates
specializing in artificial intelligence and/or data science
(especially in AR/VR/MR), though strong candidates with specialties in
closely related areas of Computer Science will be given full
consideration. The ideal candidate is expected to lead
interdisciplinary data science research activities on the campus and
will have the ability to integrate with existing research expertise in
the department and to engage in applied research in collaboration with
industry and other non-academic partners. The successful candidate
will have a PhD in Computer Science or a closely related field and
will become a member of the Department of Computer Science,
Mathematics, Physics, and Statistics https://cmps.ok.ubc.ca/. The
appointment is expected to commence on July 1, 2021 - negotiable. The
Department of Computer Science, Mathematics, Physics, and Statistics
is a dynamic and highly interdisciplinary department of more than 40
faculty members with deep strength in optimization and with growing
research clusters in astrophysics, data science, machine learning, and
medical physics, as well as active engagement in the scholarship of
teaching. The Department is home to the Centre for Optimization,
Convex Analysis and Non-Smooth Analysis https://ocana.ok.ubc.ca/ as
well as the Medical Physics and Data Analytics Cluster
https://mpdac.ok.ubc.ca/, and it is in the process of affiliating with
the Banff International Research Station http://www.birs.ca/.

Deadline for applications is January 5, 2021

To learn more about the position and to apply:
https://ubc.wd10.myworkdayjobs.com/en-US/ubcfacultyjobs/job/UBC-Okanagan-
Campus/Full-Professor_JR146



From: Theresa Keeler cmps.okanagan@ubc.ca
Date: December 07, 2020
Subject: Assistant Professor Position, Computer Science, UBC - Okanagan


The University of British Columbia - Okanagan Campus is seeking
applications for a Tenure Track position in Computer Science at the
rank of Assistant Professor.

Preference will be given to candidates specializing in either
AI/Machine learning; Optimization (especially with applications to
machine learning); cybersecurity; cloud computing and distributed
systems (preferably with networking and service architecture
knowledge); or data science (especially in AR/VR/MR), though strong
candidates with specialties in closely related areas of Computer
Science will be given full consideration. The ideal candidate will
have the ability to integrate with existing research expertise in the
department and to engage in applied research in collaboration with
industry and other non-academic partners. The successful candidate
will have a PhD in Computer Science or a closely related field and
will become a member of the Department of Computer Science,
Mathematics, Physics, and Statistics (cmps.ok.ubc.ca). The Department
of Computer Science, Mathematics, Physics, and Statistics is a dynamic
and highly interdisciplinary department of more than 40 faculty
members with deep strength in optimization and with growing research
clusters in astrophysics, data science, machine learning, and medical
physics, as well as active engagement in the scholarship of
teaching. The Department is home to the Centre for Optimization,
Convex Analysis and Non-Smooth Analysis (ocana.ok.ubc.ca) as well as
the Medical Physics and Data Analytics Cluster (mpdac.ok.ubc.ca), and
it is in the process of affiliating with the Banff International
Research Station (birs.ca).

Posting end date: January 20, 2021 Midnight PST

To learn more about the position and to apply:
https://ubc.wd10.myworkdayjobs.com/en-US/ubcfacultyjobs/job/UBC-Okanagan-
Campus/Assistant-Professor_JR476



From: FernUni Schweiz personal@fernuni.ch
Date: December 10, 2020
Subject: Assistant Professor Positions, Mathematics


UniDistance is a university institute that has been offering part-time
online bachelor, master and continuing education programs for over 25
years. It comprises 11 professorships and 4 faculties and employs
around 50 staff and more than 300 professors. More than 2,000
students are currently pursuing their studies at UniDistance in
German, French or English. Online studies are the perfect solution for
people who wish to combine studies with their work and family
commitments.UniDistance applies the highest quality standards in both
teaching and research. It is currently expanding its own professorship
and benefits from the necessary human and financial resources to do
so. For our new bachelor\371s program in mathematics, we are looking
to expand our professorships in mathematics and are seeking two
assistant professors with tenure track (100 % each) in mathematics.

Place of work: Brig or another site of UniDistance
Start date: August 1, 2021

Your tasks: Research in applied, computational or pure mathematics;
Supervision of doctoral theses in your research field; Acquisition of
research funding from the Swiss National Science Foundation or other
Swiss or international research funding agencies; Establish research
collaborations with external partners, both within and outside the
academia (e.g., industry); Teach basic modules in English,
i.e. Calculus and Linear Algebra, as well as other math courses;
Thesis supervision, especially bachelor thesis; Participate in
academic management, e.g. attend faculty meetings and take part to
other internal committees; Support the program's further development
e.g. develop the faculty and courses in mathematics and related
fields; Active participation in the development of the institution.

We look forward to receiving your application by e-mail by no later
than 3 January 2021. Please send it along with all required documents
listed below (including the letter of recommendations - max 5
letters) to Isabelle Gauchat, Head of Human Resources at
personal@fernuni.ch. Your application should include the following
documents: Cover letter, curriculum vitae, list of publications, list
of research presentations, list of research proposals and grants,
research statement (max. 2 pages), teaching statement (max. 2 pages),
at least three letters of recommendation from renowned international
experts (max. 5, one of which should focus on teaching), list of at
least three references.

For further information, please contact Prof. Dr. Rolf Krause, Head of
the program at rolf.krause@fernuni.ch.


From: Theresa Keeler cmps.okanagan@ubc.ca
Date: December 08, 2020
Subject: Assistant Professor Positions, Statistics, UBC - Okanagan


The University of British Columbia - Okanagan Campus is seeking
applications for two Tenure Track positions in Statistics at the rank
of Assistant Professor. (JR 147 and JR 148)

Preference will be given to applied statisticians specializing in
uncertainty quantification or survival analysis and reliability,
though strong candidates with specialties in closely related areas of
statistics will be given full consideration. The ideal candidate will
have the ability to integrate with existing research expertise in the
department and to engage in applied research in collaboration with
industry and other non- academic partners. The successful candidate
will have a PhD in Statistics or a closely related field and will
become a member of the Department of Computer Science, Mathematics,
Physics, and Statistics https://cmps.ok.ubc.ca/. Start date July 1,
2021 - or shorty after.

The Department of Computer Science, Mathematics, Physics, and
Statistics is a dynamic and highly interdisciplinary department of
more than 40 faculty members with deep strength in optimization and
with growing research clusters in astrophysics, data science, machine
learning, and medical physics, as well as active engagement in the
scholarship of teaching. The Department is home to the Centre for
Optimization, Convex Analysis and Non-Smooth Analysis
https://ocana.ok.ubc.ca/ as well as the Medical Physics and Data
Analytics Cluster https://mpdac.ok.ubc.ca/, and it is in the process
of affiliating with the Banff International Research Station
http://www.birs.ca/.

Application deadline is January 5, 2021 - Subject to budgetary
approval. Applications are submitted online at:
https://ubc.wd10.myworkdayjobs.com/ubcfacultyjobs/1/refreshFacet/318c8bb6f5=
531000
21d223d9780d30be

All qualified candidates are encouraged to apply; however, Canadians
and permanent residents will be given priority.



From: Michael Wibmer michael.wibmer@hm.edu
Date: December 07, 2020
Subject: Research Assistant Position, Univ of Applied Sciences, Germany


At the Faculty of Engineering of the University of Applied Sciences
(Germany) we are currently offering a two 3-year research assistant
position (salary group 50% E13). The research focus of one position is
about uncertainty quantification regarding wave propagation in cable
structures and computational methods. The second position deals with
theoretical foundations and applications of random matrix theory in
the context above and their application to free stochastic
differential equations. The salary is based on the German public
service salary scale (TV-L).

For additional information please contact:
georg.schluechtermann@hm.edu
schluech@mathematik.uni-muenchen.de
michael.wibmer@hm.edu

If you are interested in this topic and position, please send your
application and CV until the 10th of January 2021 electronically to
one of the email address above.



From: Anna-Karin Tornberg akto@kth.se
Date: December 04, 2020
Subject: Postdoc Position, Dahlquist Research Fellowship, KTH


The Mathematics department at the Royal Institute of Technology (KTH)
in Stockholm is announcing the "The Dahlquist Research Fellowship" in
Numerical Analysis. This is a two-year postdoc position including full
social benefits, financed by COMSOL AB and the department of
Mathematics.

The recipient is encouraged to pursue her or his own research
interests, and is not associated with a specific faculty member.

Deadline for application: January 18, 2021.
Starting date September 2021, negotiable.

For more information about the Dahlquist Research Fellowship, see:
https://www.kth.se/en/sci/the-dahlquist-resear/the-dahlquist-research-fello=
wship-1.856773

For the actual ad, see
https://www.kth.se/en/om/work-at-kth/lediga-
jobb/what:job/jobID:368638/type:job/where:4/apply:1


From: Catherine Powell Catherine.Powell@manchester.ac.uk
Date: December 11, 2020
Subject: Postdoc Position, NA and UQ, Univ of Manchester, UK


Applications are invited for an 18-month postdoctoral research
position to work on adaptive and multilevel intrusive methods for the
numerical solution of PDEs with uncertain inputs. This project will be
undertaken at the University of Manchester and focuses on the
development of robust, accurate and practical numerical methods for
solving PDEs with uncertain inputs, to facilitate Uncertainty
Quantification (UQ). Candidates should have a PhD in Mathematics, or
be expected to have submitted a PhD thesis before the start of the
post, and should have a background in the numerical analysis of PDEs,
preferably finite element theory, as well as experience in scientific
computing. The post is available from 1st March 2021 (negotiable).
Further details, essential criteria, and details about how to apply
can be found at:
https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=3D19439

The closing date for applications is 11th January 2021, with
interviews for short-listed candidates expected to take place shortly
thereafter.

Informal enquiries may be directed to Professor Catherine Powell by
email: Catherine.Powell@manchester.ac.uk.


From: Heike Sill heike.sill@wias-berlin.de
Date: December 07, 2020
Subject: Postdoc Position, Probabilistics, WIAS, Berlin, Germany


WIAS invites applications for a PostDoc position (f/m/d) (Ref. 20/29)
in the newly founded Leibniz Junior Research Group "Probabilistic
Methods for Dynamic Communication Networks" (Head: Dr. B. Jahnel)
starting as soon as possible. The aim of the position is to perform
rigorous probabilistic and analytic mathematical work on dynamical
spatial random geometric systems as models for future
telecommunication networks, in collaboration with other group members
and our partners at WIAS, in industry and in academia. The research
results shall be published in scientific journals and technical
reports, and presented at conferences. The applicant must at a
minimum hold a master's degree in mathematics or related fields with
high emphasis on probability. The PhD in mathematics should be
completed or very close to completion. Knowledge in statistical
physics, interacting particle systems, or stochastic geometry will be
important. Please direct scientific queries to Dr. B. Jahnel
(Jahnel@wias-berlin.de). The appointment is initially limited for 24
months. The work schedule is 39 hours per week, and the salary is
according to the German TVoD scale.

See here for more information: https://short.sg/j/8332092



From: Michael Parks mlparks@sandia.gov
Date: December 02, 2020
Subject: Postdoc Position, Scientific ML, Sandia National Laboratories


Are you passionate about developing new algorithms and approaches to
address challenges posed by complex applications? Check this out! Our
diverse team is seeking a highly motivated Postdoctoral Appointee to
conduct research as part of a project led by Eric Cyr in developing
new mathematical algorithms for training deep neural networks scaling
to leadership class HPC platforms.

To Apply: 1. Go to
http://www.sandia.gov/careers/students_postdocs/postdocs.html;
2. Click 'View All Jobs'; 3. Search for Job ID: 674254

Sandia is committed to nurturing a culture compatible with a broad
group of people and perspectives in accordance with the changing
makeup of the workforce. In support of this vision, the lab actively
recruits applicants from diverse backgrounds and fosters an inclusive
community.

In this role, you will work collaboratively on a multidisciplinary
research team conducting fundamental algorithmic research. On any
given day, you may be called on to: Conduct leading-edge research in
Scientific Machine Learning (SciML); Work towards publishing new
developments in high-profile peer-reviewed scientific journals or
refereed conference proceedings; contribute to development of
open-source software for high performance computing environments;
Interact with a diverse set of colleagues from both your own field,
applications specialists, and others; Travel as needed to support
projects; Work with export-controlled information which requires
U.S. Person status.

Qualifications We Require: PhD in mathematics, computer science, or
related engineering or science field (conferred within 3 years prior
to employment); Experience with optimization or deep learning;
Experience in numerical methods development; Experience with
high-performance parallel computing environments including MPI, OpenMP
or CUDA. Due to U.S. export-control laws, only U.S. Persons
(U.S. citizens, lawful permanent residents, asylees, or refugees) are
eligible for consideration.



From: George Biros gbiros@acm.org
Date: December 09, 2020
Subject: Postdoc Position, Univ of Texas at Austin


The Center for Predictive Engineering and Computational Sciences in
the Oden Institute for Computational Engineering and Sciences at the
University of Texas at Austin is searching for Postdoctoral Scholars
in high-performance computing (HPC) algorithms for partial
differential equations (PDEs). The purpose of the position is research
on scalable discretization methods for PDEs, tree codes, and
multilevel/multiphysics solvers. The research emphasis will be on
parallel algorithms and on performance modeling, analysis, and
optimization on heterogeneous computer architectures. These activities
will be pursued as part of an interdisciplinary team working at the
forefront of many areas of physics, computational science, and
computer science.

Applicants must have a Doctorate in Science, Engineering, Computer
Science, Computational Science, Applied Mathematics, or a related
technical field, and a strong background in HPC. In particular,
candidates with a publication record on the design and implementation
of parallel algorithms for hardware accelerators (e.g., Graphics
Processing Units) will be preferred.

For more information about the project and team, visit
pecos.oden.utexas.edu. To apply, please send a cover letter
describing your interests, a CV, and a list of three references to
pecos_recruit@oden.utexas.edu.


From: Christian Schulz christian.schulz@informatik.uni-heidelberg.de
Date: December 03, 2020
Subject: Postdoc/PhD Position, Alg Eng for Process Mapping in MPI


The research group for Parallel Computing at the Institute of Computer
Engineering, Faculty of Informatics of TU Wien (Vienna University of
Technology) is offering a 3 year PhD student position, and/or a 1-2
year Postdoctoral position to work in a funded research project on
"Algorithm Engineering for Process Mapping". This project deals with
algorithms and implementations for process mapping in the context of
MPI (the Message-Passing Interface) and/or other interfaces for
parallel High-Performance Computing. The salary will be for either 30
(PhD position) or 40 (PostDoc position) hours a week in accordance
with the Austrian standard rate for University employment. Deadline
for application is January 4th, 2021. For more information, see
https://par.tuwien.ac.at/open-positions.psp, or contact Prof. Jesper
Larsson Traff, TU Wien (traff@par.tuwien.ac.at).

Qualifications (PhD): A good master's degree in computer science,
electrical engineering, mathematics, or other related area; Some
exposure to parallel and/or distributed computing, preferably parallel
algorithms, shared-memory multi-processor programming,
high-performance computing, or similar; Good theoretical grounding in
computer science (algorithms and data structures, complexity,
computability, ...); Good programming skills in C/C++, Fortran, or
Java; knowledge of other paradigms (functional, logic, data flow) a
plus; Interest in working both independently and with the group
practically as well as theoretically; Interest in writing up and
presenting results and problems; Enthusiasm for parallel computing,
MPI, and computer science in general.

Qualifications (Postdoc): A PhD in a field related to parallel
computing; Experience in and understanding of interfaces for
distributed parallel computing; Good theoretical grounding in computer
science (algorithms and data structures, complexity, computability,
...); Good programming skills in C/C++, Fortran, or Java; knowledge of
other paradigms (functional, logic, data flow) a plus; Enthusiasm for
parallel computing, MPI, and computer science in general.

Speaking German is not required, but fluency in English (written and
spoken) is a must. Please forward this email to anyone who may be
interested, and/or send your application (cover letter, CV, copies of
certificates, contact information for one or two referees) to

Prof. Dr. Jesper Larsson Traff, TU Wien
Faculty of Informatics, Insitute of Computer Engineering
Research Group Parallel Computing
Favoritenstrasse 16, 1040 Wien, Austria
traff@par.tuwien.ac.at



From: Stefan Frei stefan.frei@uni-konstanz.de
Date: December 07, 2020
Subject: Postdoc/PhD Position, Numerical Analysis, Univ of Konstanz, German=

y

A PhD or Postdoc position is available at the University of Konstanz,
Germany, within the project "Eulerian time-discretisation techniques
for PDEs on moving domains and fluid-structure interactions" under the
supervision of Dr. Stefan Frei. We refer to the publication of
Lehrenfeld & Olshanskii (https://doi.org/10.1051/m2an/2018068) and the
preprint (https://arxiv.org/abs/1910.03054) by Burman, Frei & Massing
for some recent works in this direction. A strong background in the
numerical analysis of finite element methods and good programming
skills are expected.

The position at payment-scale TV-L E13 of the German public service
salary scale is available from February 2021, or starting as soon as
possible thereafter, and is initially limited to a duration of 18
months. The University of Konstanz is one of eleven Universities of
Excellence in Germany. If you are interested, please send your
application and CV via mail to stefan.frei@uni-konstanz.de, until
December 31, 2020.


From: Bernie J. Daigle, Jr. bjdaigle@memphis.edu
Date: December 09, 2020
Subject: PhD Position, Bioinformatics/Comp Systems Biology, Univ of Memphis


Experimental biologists are generating data at an unprecedented rate.
Unfortunately, biological insight has not kept pace with this deluge
of data. The goal of my lab is to improve the inference of biological
meaning from the wealth of experimental data collected from single
cells to whole organisms. To do so, we develop sophisticated
statistical and computational tools that enable integrated analyses of
noisy, heterogeneous datasets. More information on the lab can be
found at http://daiglelab.org.

Assistantships are available for students interested in pursuing Ph.D.
research in bioinformatics and/or computational systems
biology. Active research areas in the lab include computational
identification of disease biomarkers from high-throughput omics data
and machine learning- based inference of gene regulatory networks
(GRNs) from single-cell data. We currently have openings in two
projects from these areas: (1) biomarker discovery for post-traumatic
stress disorder (PTSD) from clinical and molecular data collected from
military populations, and (2) application of deep learning techniques
to rapidly and accurately infer GRNs from single-cell RNA-sequencing
data.

The successful candidate should be highly motivated and have some R
and/or Python programming experience. Prior research experience in
bioinformatics and/or computational biology is desirable. Details
about admission and degree requirements can be found at
http://www.memphis.edu/biology/graduate (Ph.D., Biological Sciences).
To ensure full consideration, applications should be completed by
February 1. Accepted students will be supported through a graduate
assistantship.

If interested, please first email Dr. Daigle (bjdaigle@memphis.edu)
your CV and a concise statement describing your interest in the
position, previous research experience, and relevant coursework.


From: Christoph Lehrenfeld lehrenfeld@math.uni-goettingen.de
Date: December 06, 2020
Subject: PhD Position, Numerical PDEs, Univ of Goettingen


Within the Collaborative Research Center SFB 1456 "Mathematics of
Experiment (The challenge of indirect measurements in the natural
sciences)" the Georg-August-University Gottingen has an opening for
a PhD position on the numerics of PDEs arising in solar modeling
(project C04).

The position should be filled as soon as possible (earliest at the
beginning of 2021). The salary is in accordance with the German public
service salary scale (E13 TV-L) for three years. The positions are
offered with 75 % of the regular working hours. Applicants are
expected to have a Master's degree in applied math or a related field
and solid knowledge in numerical analysis of PDEs.

For further details on the Collaborative Research Center, see here:
https://www.uni-goettingen.de/crc1456

For further details on the project C04 see here:
https://www.uni-goettingen.de/en/630954.html
or contact Christoph Lehrenfeld ( lehrenfeld@math.uni-goettingen.de )

The application is possible until the position is filled. Further
details can be found here:
https://www.uni-goettingen.de/de/305402.html?cid=3D3D100780

If you have any questions, please contact Eva Hetzel via e-mail
( eva.hetzel@math.uni-goettingen.de ).


From: Heike Sill heike.sill@wias-berlin.de
Date: December 07, 2020
Subject: PhD Position, Probabilistics, WIAS, Berlin, Germany


WIAS invites applications for a PhD student position (f/m/d)
(Ref. 20/28) in the newly founded Leibniz Junior Research Group
"Probabilistic Methods for Dynamic Communication Networks" (Head:
Dr. B. Jahnel) starting as soon as possible. The aim of the position
is to perform rigorous probabilistic and analytic mathematical work on
dynamical spatial random geometric systems as models for future
telecommunication networks, in collaboration with other group members
and our partners at WIAS, in industry and in academia. The research
results shall be published in scientific journals and technical
reports, as well as be presented at conferences. In addition,
preliminary work for a dissertation on the above-mentioned topic may
be prepared. The applicant must at a minimum hold a master's degree
in mathematics or related fields with high emphasis on probability
theory. Knowledge in statistical physics, interacting particle systems
or stochastic geometry will be helpful. Please direct scientific
queries to Dr. B. Jahnel (Jahnel@wias-berlin.de). The appointment is
initially for 36 months. The reduced work schedule is 29,25 hours per
week, and the salary is according to the German TVoeD scale.

See here for more information: https://short.sg/j/8331747


From: Matteo Giacomini matteo.giacomini@upc.edu
Date: December 03, 2020
Subject: PhD Position, Scientific Machine Learning, CIMNE


One fully-funded PhD position is available within Prof. Huerta's group
at the International Centre for Numerical Methods in Engineering
(CIMNE) in Barcelona. The topic of the PhD position is SCIENTIFIC
MACHINE LEARNING FOR REAL-TIME OPTIMIZATION OF URBAN PATH PLANNING FOR
UNMANNED AERIAL VEHICLES. The project, funded by the programme
INPhINIT "la Caixa", belongs to the line of investigation on
scientific machine learning, an emerging field focusing on the
exploitation of successful machine learning techniques from computer
science for the solution of complex problems in physical sciences and
engineering. INPhINIT "la Caixa" is a prestigious fellowship
programme targeting highly- skilled students interested in performing
their PhD studies in research centres of excellence. The host
institution, CIMNE, currently holds the Severo Ochoa Excellence Award
which identifies and promotes public research centres in Spain that
stand out as international references in their specialised fields.
The programme offers a stimulating international environment, a
competitive salary and complementary training activities on soft
skills. The prospective PhD student will integrate the "Innovative
Algorithms for Fast Accurate Computing" team of CIMNE, a very active
research group of experts in computational science and engineering,
under the supervision of Prof. A. Huerta and Dr. M. Giacomini.

All the details on the PhD project and on the application procedure
are available at
https://finder.lacaixafellowships.org/finder?position=3D4214
https://fundacionlacaixa.org/en/la-caixa-foundation-doctoral-inphinit-fello=
wships-incoming



From: Abdul-Lateef Haji-Ali a.hajiali@hw.ac.uk
Date: December 07, 2020
Subject: PhD Position, Statistical Analysis, Heriot-Watt Univ, Edinburgh


The Department of Actuarial Mathematics and Statistics at Heriot-Watt
University and the British Antarctic Survey invites applications for a
PhD position for the project \374Statistical Control of the Ecological
Risks of Fisheries\375 under the primary supervision of Abdul-Lateef
Haji-Ali from HWU and co-Supervision of Simeon Hill and Norman
Ratcliffe from BAS and in collaboration with Marine Scotland. The
successful applicant will be considered for funding for up to 3.5
years on EPSRC stipend level in addition to tuition fees. This PhD
project will use state-of-the-art statistical methods to analyse the
dynamics involved in fisheries and develop new tools for managing the
ecological and financial impacts of fishing. Fishing competes with
predators, such as birds and seals, for resources and might impact
their populations. The analysis of ecosystem dynamics will make use of
extensive data including remote sensed environmental variables and
time series of bird, mammal and fish population and performance
estimates. The results of this analysis will then be used in a
simulation framework to develop and test feedback methods for managing
the fisheries to control the risks to marine ecosystems while
maintaining economic benefits of fishing. In addition to working on
this project, the PhD candidate will be expected to enrol in several
PhD level courses in the Maxwell Institute during the first year of
the PhD.

For full consideration, please apply by December 31st 2020. The
starting date is in September 2021 or sooner.

For any further enquiries about the position, please contact
Abdul-Lateef Haji-Ali (a.hajiali@hw.ac.uk).

See more details (including application link) at:
https://www.randomoid.com/posts/phd-bas-advert



From: Robert McLachlan r.mclachlan@massey.ac.nz
Date: December 07, 2020
Subject: Special Issue, Comp of Lyapunov Functions and Contraction Metrics


We are the guest editors of the special issue \374Computation of
Lyapunov functions and contraction metrics\375 for the Journal of
Computational Dynamics (https://www.aimsciences.org/journal/2158-2491)
and would like to invite you to submit a manuscript.

The deadline for the submission of manuscripts is 1 June 2021,
followed by the peer-review process.

It would be great, if you could indicate whether you plan to submit a
manuscript; you are also welcome to let your colleagues and co-workers
know. Please let us know, if you have any questions.

Peter Giesl, University of Sussex, http://users.sussex.ac.uk/~pag20/

Sigurdur Hafstein,University of Iceland,
https://notendur.hi.is/~shafstein/index.htm


From: Nicoletta Del Buono nicoletta.delbuono@uniba.it
Date: December 02, 2020
Subject: Special issue, Comp Approaches for Data Inspection in Biomedicine


We are pleased to inform you that the following special issue is now
open to receive submission for possible publications. The paper will
be published in Mathematics (a peer-reviewed open access journal ISSN
2227-7390 https://www.mdpi.com/journal/mathematics I.F. 1.747). Below
you can find further information.

Special Issue: Computational Approaches for Data Inspection in
Biomedicine
Website:
https://www.mdpi.com/journal/mathematics/special_issues/Computational_Appro=
aches_Dat
a_Inspection_Biomedicine
https://www.researchgate.net/project/Computational-Approaches-for-Data-Insp=
ection-in-
Biomedicine

Deadline for manuscript submissions: 28 February 2021

Keywords Topics of interest include but are not limited to:
- Low-rank methods for biomedical data;
- Feature extraction and selection algorithms in biomedical data;
- Anomaly detection methods for biomedical applications;
- Clustering algorithms applied to omics and biomedical data;
- Bioimaging for omics data;
- Optimization and machine learning algorithms for biomedical data.

End of Digest
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