NA Digest, V. 24, # 2

NA Digest Wednesday, January 31, 2024 Volume 24 : Issue 2


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:

https://nadigest.icl.utk.edu/


From: Helmut Podhaisky helmut.podhaisky@mathematik.uni-halle.de
Date: January 22, 2024
Subject: Karl Strehmel (1934 - 2023)


On 12 December 2023, our highly esteemed colleague Karl Strehmel,
university professor and founder of the NUMDIFF conference series,
passed away after a short, serious illness.

Karl Strehmel was a great mathematician and scientist who, even in
times of German and European division, worked with great commitment
and skill to promote international scientific cooperation that
transcended borders. In the early 1980s, he founded the "Numerical
Treatment of Differential Equations" seminars, which have since
brought together many leading international experts in this field at
the NUMDIFF conferences at Martin Luther University. We will
commemorate him at NUMDIFF-17 in September 2024.

We remember with gratitude an academic teacher who opened up new
horizons and inspired enthusiasm for his field.

Rudiger Weiner, Martin Arnold, and Helmut Podhaisky


From: Denys Dutykh Denys.Dutykh@ku.ac.ae
Date: January 31, 2024
Subject: New Book, IAHR Water Monograph Series


Variational approach to water wave modelling"
by Didier Clamond, Denys Dutykh, and Dimitrios Mitsotakis.

This book has been published in open access, and the full text is
freely accessible for everyone at this URL address:
https://www.iahr.org/index/detail/659

This monograph offers a comprehensive exploration of water wave
dynamics through the innovative lens of relaxed variational
principles. The authors present a nuanced approach to modelling both
nonlinear dispersive and non-dispersive waves, advancing our
understanding of fluid dynamics. A pivotal aspect of this work is the
application of the relaxed variational principle, providing a robust
mathematical foundation for the study of water waves. Additionally,
the monograph delves into sophisticated numerical techniques,
including finite volume and pseudo- spectral schemes, which are
instrumental in simulating these complex wave phenomena. This text is
an invaluable resource for researchers and practitioners in fluid
mechanics, offering new perspectives and methodologies for tackling
the challenges of water wave modelling.

Published: January 2024



From: Bart De Moor bart.demoor@kuleuven.be
Date: January 30, 2024
Subject: Fast and Stable Roots of Polynomials, ONLINE, Feb 2024


Raf Vandebril, KU Leuven, Numerical Analysis and Applied Mathematics
(NUMA), Fast and Stable Roots of Polynomials via Companion Matrices
Tuesday February 6, 2024, 5pm

We present a fast and stable algorithm for computing roots of
polynomials. The roots are found by computing the eigenvalues of the
associated companion matrix. A companion matrix is an upper Hessenberg
matrix that is of unitary-plus-rank-one form, that is, it is the sum
of a unitary matrix and a rank-one matrix. When running Francis's
implicitly-shifted QR algorithm this property is preserved, and
exactly that is exploited here. To compactly store the matrix we will
show that only 3n-1 rotators are required, so the storage space is
O(n). In fact, these rotators only represent the unitary part, but we
will show that we can retrieve the rank-one part from the unitary part
with a trick. It is thus not necessary to store the rank-one part
explicitly. Francis's algorithm tuned for working on this
representation requires only O(n) flops per iteration and thus O(n^2)
flops in total. The algorithm is normwise backward stable and is shown
to be about as accurate as the (slow) Francis QR algorithm applied to
the companion matrix without exploiting the structure. It is also
faster than other O(n^2) methods that have been proposed, and its
accuracy is comparable or better.

The paper accompanying this research received SIAM's outstanding paper
prize in 2017.
https://www.siam.org/prizes-recognition/major-prizes-lectures/detail/siam-outstanding-paper-prizes

The presentation will be streamed and can be followed by using this
link: https://eu.bbcollab.com/guest/99583fe6bbe145bfb9f346f35f32450f


From: Hemant Tyagi hemant.tyagi@inria.fr
Date: January 24, 2024
Subject: Functional Data Analysis, France, Mar 2024


We are organizing at Inria Lille a two-day workshop on Functional Data
Analysis, from 14-15th March 2024. It will feature a combination of
long talks (1 hour each, by invited speakers), and contributed talks
(15-20 mins each, by PhD students/post-docs/young researchers).

We are currently accepting submissions for contributed talks (title +
abstract in a pdf file), the submission deadline is currently set to
15th Feb (might be extended). Registration for the workshop is also
possible till 15th Feb through the workshop webpage (this is free but
mandatory for participation).

All information about the workshop and about the submission procedure
is available at https://fda-lille.sciencesconf.org/

Invited speakers:
Michelle Carey (University College of Dublin)
Aurore Delaigle (University of Melbourne)
Frederic Ferraty (University of Toulouse)
Valentin Patilea (ENSAI Rennes)
Gilbert Saporta (CNAM Paris)
Han Lin Shang (Macquarie University)


From: Marta D'Elia marti.delia@gmail.com
Date: January 24, 2024
Subject: Industrial SciML, USA Mar 2024


It is our pleasure to announce the upcoming workshop on "The
Industrialization of Scientific Machine Learning" that will be held at
ICERM during the weekend of March 23-24,
2024. https://icerm.brown.edu/events/htw-24-sciml/

This workshop focuses on the most recent advances in the field of
applied Scientific Machine Learning (SciML) by bringing together the
world-leading players in its industrialization, those at the forefront
of advancing R&D armed with the critical experience necessary for
building and scaling SciML in the wild. Applications to attend this
workshop in person are now open. To make this workshop a success, we
encourage a very broad participation, from academia to industry, at
all levels. We particularly encourage applications from different
underrepresented groups.


From: Weimin Han weimin-han@uiowa.edu
Date: January 30, 2024
Subject: Midwest Numerical Analysis Day, USA, Apr 2024


The Midwest Numerical Analysis Day is a forum for researchers at all
stages of their careers, mainly from the Midwest, to exchange ideas in
numerical analysis, scientific computing and related application
areas. The Midwest Numerical Analysis Day 2024 conference will be held
on April 13-14, 2024 at the University of Iowa. The conference is
supported by an NSF grant.

The conference website is at
https://homepage.divms.uiowa.edu/~whan/mwnaday2024.html

If you are interested in participating in the conference, please fill
out the registration form by Friday, March 1, 2024. There is no
registration fee, and you may request to have lodging support.


From: Fabio Zoccolan fabio.zoccolan@epfl.ch
Date: January 30, 2024
Subject: Numerical Methods for Random Differential Models, Switzerland, Jun 2024


We have some important updates regarding the summer school "Numerical
Methods for Random Differential Models (NUMRAD24)", that will be held
at EPFL in the week of 11th-14th of June 2024.

The list of the speakers is now complete. Check it out at
https://numrad.epfl.ch/summer-school/

Furthermore, a limited number of scholarships are now available. These
will cover the cost of accommodation for 5 nights in Lausanne. In
order to apply for financial support, you must register before 1st of
March explicitly asking for it. All the people that already
subscribed to NUMRAD24 are automatically considered as applying for
these scholarships. Participants who have been awarded a scholarship
will be notified before the end of March.

For further information and registration, please visit our webpage:
https://numrad.epfl.ch/ (registration will close after the 31st of
March 2024). Should you have any questions, please contact us at
numrad@epfl.ch.



From: Leo Liberti leoliberti@gmail.com
Date: January 22, 2024
Subject: Deadline Extended, Symposium of Experimental Algorithms, Austria, Jul 2024


22nd Symposium on Experimental Algorithms (SEA24)
Location: Vienna, Austria
Dates: July 23-26, 2024
Web site: https://sea2024.univie.ac.at/
Submission: https://easychair.org/conferences/?conf=sea24

Important dates:
extended paper submission deadline: Feb 10 2024 AoE
extended* notification of acceptance: Mar 27 2024

We are announcing a deadline extension for SEA24. The full paper must
be submitted by February 10, 2024 (AoE) The authors will be notified
by March 27, 2024 Final version due: April 28, 2024

Sadly one of our invited speakers, Nick Higham, passed away on Jan
20th.

Contributions solicited cover a variety of topics including but not
limited to: Algorithm Engineering; Algorithmic Libraries and Software
Repositories; Algorithmic Cryptography and Security; Algorithmic
Natural Language Processing; Algorithmics for Databases; Analysis of
Algorithms; Approximation Algorithms; Bioinformatics and Computational
Biology; Branch-and-Bound Algorithms; Combinatorial Problems and
Structures; Communication Networks; Computational Geometry;
Computational Optimization; Data Structures; Distributed and Parallel
Algorithms; Graph Algorithms; Heuristic Algorithms; Integer
Programming; Logistics and Operations Management; Machine Learning and
Data Mining; Mathematical Programming; Multiple Criteria Decision
Making; Network Analysis; Online Problems; Randomized Algorithms;
Semidefinite Programming; Streaming and External Memory Algorithms.


From: Matthias Chung matthias.chung@emory.edu
Date: January 24, 2024
Subject: Gene Golub SIAM Summer School, Ecuador, Jul 2024


We are pleased to announce the 2024 Gene Golub SIAM Summer School on
"Iterative and Randomized Methods for Large-Scale Inverse Problems"
The school will take place from July 22-August 2, 2024 at the Escuela
Politecnica Nacional in Quito, Ecuador.

The application deadline is March 1, 2024.

Big data sets and increasing complexities of models pose significant
computational obstacles for many applications. Current cutting-edge
inference methods are reaching their limits and it is crucial to
develop advanced tools to extract meaningful insights from data.

The summer school aims to equip students with a comprehensive
understanding of the mathematical, computational, and statistical
tools necessary for analyzing large-scale data sets and solving
inverse problems. By introducing state-of-the-art techniques in
randomized Numerical Linear Algebra (RandNLA) and exploring the
connection between RandNLA and inverse problems, students will develop
a solid foundation for further study and perform research in the
computational sciences. Attending the summer school provides a unique
opportunity to discover the vast opportunities that come with
expertise in computational sciences, while also gaining hands-on
experience with advanced techniques.

Located at an elevation of 2,850 meters in the Andean foothills, Quito
is the capital city of Ecuador and is famous for its well-preserved
historical center. It is the second-highest official capital city in
the world and offers breathtaking views along with a rich
pre-Columbian and colonial history.

Details on the summer school and the application form can be at
https://g2s32024.github.io/


From: Xiu Yang xiy518@lehigh.edu
Date: January 24, 2024
Subject: AIMMS-MOPTA Modeling Competition, USA, Aug 2024


The Department of Industrial and Systems Engineering (ISE) at Lehigh
University is thrilled to announce the opening of the 16th AIMMS-MOPTA
Optimization Modeling Competition.

The competition is organized by the conference organizers of MOPTA and
AIMMS. The first phase's submission deadline is May 1, 2024, 23:59
Eastern Time. Finalists are expected to attend and present their
results at the 2024 MOPTA Conference to be held on August 14-16, 2024,
at Lehigh University, Bethlehem, PA, USA.

The goal of the competition this year is to analyze renewable energy
grids. The problem description is posted on the competition website:
coral.ise.lehigh.edu/~mopta/competition

Information on eligibility, registration, submission, and competition
format are posted on the competition website. Teams of at most three
students can participate and should list a faculty advisor. The team
leader must be a graduate student, though the other team members can
be advanced undergraduate students. Each team member must be
registered as a full- time student at a recognized educational
institution during the Spring term of the 2023-2024 Academic
Year. Students with any background are eligible. Collaboration between
students from different departments is strongly encouraged. Each
finalist team will receive free registration for the conference for up
to two team members. As the conference is international, so is the
competition. Teams from all over the world can participate, as long as
at least one team member can come to the conference, should the team
make it to the final round. The official language of the competition
is English.

For more details about the competition, visit
coral.ise.lehigh.edu/~mopta/competition


From: Luis Nunes Vicente lnv@lehigh.edu
Date: January 22, 2024
Subject: Open-Rank Teaching Professor Position, Lehigh Univ, USA


The Department of Industrial and Systems Engineering (ISE) at Lehigh
University invites applications at all ranks for a non-tenure-track
and non-tenured teaching professor position. The successful candidate
must possess a Ph.D. or equivalent in industrial engineering or a
related field by date of hire. The teaching duties will consist of
three undergraduate- and/or graduate-level courses each
semester. While the position is not tenurable, a candidate hired as a
Teaching Assistant Professor may become eligible for promotion to the
rank of Teaching Associate Professor upon development of an excellent
record of teaching and service. Similarly, a candidate hired as a
Teaching Associate Professor may develop a record worthy of promotion
to the rank of Teaching Full Professor.

Applicants should apply here:
https://academicjobsonline.org/ajo/jobs/27033

Inquiries may be addressed to Professor Frank E. Curtis, Search
Committee Chair, frank.e.curtis@lehigh.edu.

Review of applications will begin February 1, 2024 and will continue
until the position is filled, which is expected to occur by a start
date of July 1, 2024. An application should include a cover letter; a
curriculum vitae; a teaching statement; a statement on diversity,
equity, and inclusion (DEI); and names and addresses of at least three
references.

Lehigh ISE currently has 20 full-time faculty members, 160
undergraduate students, and 80 graduate students, 35 of whom are
Ph.D. students. The ISE faculty maintains an outstanding international
reputation in a variety of areas, including data science and machine
learning; mathematical optimization; stochastic models and
optimization; applied operations research; quantum computing
optimization; and uncertainty quantification and complex
systems. Lehigh University is located in Bethlehem, PA, a vibrant and
historic area. Over 800K people live in the Lehigh Valley, which is in
close proximity to New York City and Philadelphia.


From: Federico Poloni federico.poloni@unipi.it
Date: January 24, 2024
Subject: Tenure-Track Position, Numerical Analysis, Pisa Univ, Italy


A call for an RTT (Tenure-Track Researcher) position in Numerical
Analysis (MAT/08) is open at the department of Computer Science of the
University of Pisa.

The successful candidate will join the oldest computer science
department in Italy, and become part of an active research group in
numerical analysis and numerical linear algebra (
https://numpi.dm.unipi.it/people/ ) , which includes researchers in
various departments and institutions inside the Pisa university
system.

Deadline for applications: 23 February 2024, 1:00 pm.

Full regulations and instructions on how to apply are available at
https://bandi.unipi.it/public/Bandi/Detail/b34b7404-9d5a-4180-81e2-bd461bfe60a2
.



From: Marnix Van Daele marnix.vandaele@ugent.be
Date: January 29, 2024
Subject: Assistant Professor Position, Scientific Computing, Ghent Univ, Belgium


The Department of Applied Mathematics, Computer Science and Statistics
of Ghent University is opening a position Assistant professor tenure
track in Scientific computing. The candidate's research may be
interdisciplinary in orientation but mathematical in nature (with an
emphasis on applied mathematics), and involves the analysis of
advanced computational techniques to answer complex scientific
questions. The candidate's expertise can match or be complementary to
the expertise already present in the department.

Requirements to apply: candidates should hold a thesis-based doctorate
and have at least two years of postdoctoral experience on 1 September
2024. The successful candidate is also expected, within a period of
five years after the appointment, to learn Dutch and to provide
teaching in Dutch. Our university offers support to reach this goal.

The mandate is awarded for a term of five years. Upon favourable
evaluation at the end of this period, the position will be converted
into a permanent position of associate professor (in Dutch:
"hoofddocent").

Ghent University conducts an equal opportunities policy and encourages
everyone to apply. Ghent University also strives for a gender balance.
Female applications are thus especially welcomed.

To apply (until February 25 2024):
https://jobs.ugent.be/job/Ghent-Professor-in-Scientific-Computing-%28BOF%29-9000/786940102/



From: Marie Graff marie.graff@auckland.ac.nz
Date: January 22, 2024
Subject: Lecturer Position, Mathematics, Univ of Auckland, New Zealand


o te whare Pktaiao/The Faculty of Science at the University of
Auckland is the leading science faculty in New Zealand and one of the
largest in Australasia. It undertakes world-class research across the
physical, biological, and computational sciences. More than 8,000
students' study in our 10 schools and departments, learning from
internationally renowned lecturers. We strive to provide a School
that reflects the demographics of our student base and Aotearoa. Our
staff and students can connect with our: Rainbow and Women in Science
networks, Parenting support, our Waipapa Marae and our flagship
Tuakana Maori and Pacific support programme.

Job description: We are looking for a Lecturer who will undertake high
quality teaching/lecturing and high-quality research in mathematics,
in any area of Mathematics or Applied Mathematics. This lectureship
is, in part, in support of a new joint degree programme with North
Eastern University in China. The successful candidate is expected to
teach into this programme, including hybrid delivery from Auckland and
in person in China.

You will be expected to teach/lecture at both undergraduate level
(including teaching courses to non-mathematics majors) and at
postgraduate level. You must be able to course coordinate, develop
course materials and design new courses, as well as, teach as part of
a team. The successful applicant will be expected to establish their
own research programme in mathematics or applied mathematics,
supervise postgraduate/PhD research students, and be a collegial,
constructive member of the mathematics department. Finally, the
applicant will also be required to perform administrative service
roles for the Department of Mathematics and for the Faculty of
Science.

The position is available with a start date from 1st July 2024. This
is a full-time (40 hours per week), permanent position. For more
detailed information, please check: https://smrtr.io/hKvyt

Contact: Prof Bernd Krauskopf (HoD), b.krauskopf@auckland.ac.nz


From: Alfio Borzi alfio.borzi@mathematik.uni-wuerzburg.de
Date: January 24, 2024
Subject: Visiting Professorship Positions, Mathematics, Univ Wuerzburg, Germany


Call for applications to one term Giovanni Prodi Chair Professorships
in Mathematics at the University of Wurzburg in Germany: The Institute
for Mathematics at the University of Wuerzburg offers a one term
Giovanni Prodi chair professorship for each of the periods: Oct. 14,
2024 - Feb. 7, 2025, Apr. 23 - Jul. 25, 2025. These professorships
should enrich our academic life in Wurzburg. Prodi professors are
expected to interact both with faculty and students leading to
international contacts and collaborations.

Please see the following link for further information and for application:
https://www.mathematik.uni-wuerzburg.de/en/research/giovanni-prodi-chair/application/

The application is open until February 29, 2024.

Applications from all fields of mathematics are welcome with the
applicant at the level of an associate or full professor. Only persons
coming from outside Germany are eligible. Female applicants are
especially encouraged to apply. The professorship carries a teaching
load of 4 hours per week plus the obligation to run a seminar or
exercise group for 2 hours per week.

The application consists of two steps:
1) filling the application form
https://www.mathematik.uni-wuerzburg.de/en/forschung/giovanni-prodi-lehrstuhl/bewerbung/giovanni-prodi-application-form/
2) sending your CV (including publications and teaching experience) as
a single pdf to math-prodichair@uni-wuerzburg.de.

If you have any questions, please feel free to send an e-mail to
math-prodichair@uni-wuerzburg.de or contact any member of our faculty.




From: Michael Multerer michael.multerer@usi.ch
Date: January 22, 2024
Subject: Postdoc Position, Computational Mathematics,


A PostDoc position in Computational Mathematics (2 years) is available
at the Euler institute of the Universita della Svizzera italiana.

Applicants are expected to have a strong background in harmonic
analysis, including wavelets and reproducing kernel Banach/Hilbert
spaces, and at least basic programming skills in C/C++ or Matlab. The
position is funded by the SNSF Starting grant "Multiresolution methods
for unstructured data". More information on the project is available
on the SNSF webpage (https://data.snf.ch/grants/grant/211684).

Interested candidates should contact me directly by email
(michael.multerer@usi.ch) (Please provide a motivation and your
CV). The email subject should be the smallest prime number with ten
digits.


From: Can Chen canc@unc.edu
Date: January 30, 2024
Subject: Postdoc Position, Data Science, Univ of North Carolina at Chapel Hill, USA


Individuals who are interested are encouraged to apply at
https://unc.peopleadmin.com/postings/273420 .


From: Brian Ancell brian.ancell@ttu.edu
Date: January 29, 2024
Subject: Postdoc Position, Fire Weather Prediction, Texas Tech Univ, USA


The Atmospheric Sciences Group in the Department of Geosciences at
Texas Tech University in Lubbock, TX, seeks a Postdoctoral Research
Associate to work in the area of fire weather prediction. The
successful candidate will be part of the Modeling and Predictability
Group supervised by Dr. Brian Ancell and will serve a two-year
appointment working on a project funded by the National Oceanic and
Atmospheric Administration (NOAA). The primary goal of the position
will be to contribute to the development of a novel, probabilistic,
machine learning- based fire weather index, the significant fire
parameter, toward operational use at the National Weather Service
(NWS).

Duties will include performing simulations with atmospheric
convection- allowing models (CAMs), development of machine learning
techniques that relate model simulations to past fire data, and
research -to- operations activities with NWS forecast offices and the
Storm Prediction Center (SPC). Required qualifications include
computer programming and analysis experience with languages such as
Python, Fortran, or equivalent. Preferred qualifications include
familiarity running CAMs such as WRF, UFS, and MPAS, experience with
machine learning algorithms, and prior work with fire weather
prediction. The position will require some travel and participation in
NOAA testbed activities.

Please contact Dr. Brian Ancell (brian.ancell@ttu.edu) with any
questions regarding the position. To apply, please visit:
https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25898&siteid=5635&PageType=JobDetails&jobid=824501


From: Yunhui He yhe43@central.uh.edu
Date: January 31, 2024
Subject: Postdoc Position. Mathematics, Univ of Houston, USA


Applications are invited for a position within the Department of
Mathematics at the University of Houston in the group of Numerical
Analysis and Scientific Computing. The successful candidate will work
with Dr. Yunhui He, with a research focus on the development of
efficient solution algorithms for linear and nonlinear
problems. Duties will include development and analysis of algorithms
and their implementation in a high-performance computing
environment. A desired, but flexible, start date of June 2024 is
expected. The initial position will be for one year, with the
possibility of renewal for another year. Opportunities for teaching
may be available, if desired by the successful candidate.

A PhD degree with emphasis on applied mathematics or scientific
computing is required, with a preference for experience in
computational PDEs, optimization, eigenvalue problems, computational
science, numerical linear algebra, and/or nonlinear solvers, such as
Anderson acceleration. Previous interdisciplinary project experience
is a plus.

The application must include a cover letter, a CV, and contact
information of three references letter writers.

Interested candidates should apply at:
https://uhs.taleo.net/careersection/ex1_uhs/jobdetail.ftl?job=STA013664&tz=GMT-06%3A00&tzname=America%2FChicago.

Review of applications will begin on March 15, 2024, and continue
until the position is filled. Inquiries about the position may be
directed to Yunhui He (yhe43@central.uh.edu).


From: Sigrid Staurset contact-dstrain@mn.uio.no
Date: January 25, 2024
Subject: Postdoc Positions, Computational/Natural Sciences, Univ of Oslo, Norway


DSTrain (University of Oslo) invites applications to 18 postdoctoral
fellowship positions within the overarching frame of data science,
emphasizing interaction between data science, computational science,
natural sciences, and technology.

The target group of the programme is highly talented, aspiring
researchers with backgrounds in Astrophysics, Biosciences, Chemistry,
Geosciences, Informatics, Mathematics, Pharmacy, Physics, and
Technology systems, who through the development of their
individual-driven research projects will combine disciplinary
expertise, with interdisciplinary elements, and integrating the use of
computational methods. The fellowships will be of 36 months each. The
postdoctoral fellows will be integrated in research groups across
scientific disciplines where there is an urgent need for
computationally skilled researchers. The research groups provide
excellent research environments and supervision enabling world-class
research, innovation and digital infrastructure, models for
interdisciplinary collaboration and training in research, including
computational and transferable skills. DSTrain also includes a range
of cross-sectorial secondment opportunities. DSTrain is a 5-year
postdoctoral programme launched and managed by dScience ^S Centre for
Computational and Data Sciences at the Faculty of Mathematics and
Natural Sciences at the University of Oslo (UiO). It is partly funded
by the EU Horizon Europe under the Marie SkBodowska-Curie Action
(MSCA) - Co-funding of Regional, National and International Programmes
(COFUND).

Application deadline: 14th April 2024

More information:
https://www.jobbnorge.no/en/available-jobs/job/255679/dstrain-msca-postdoctoral-fellowships-in-computational-and-natural-sciences-18-positions


From: Angelos Mantzaflaris angelos.mantzaflaris@inria.fr
Date: January 30, 2024
Subject: PhD Position, Low Rank Approx for Tensor Modeling, Inria Sophia Antipolis


TENORS (Tensor modEliNg, geOmetRy and optimiSation) is a Marie
SkBodowska-Curie Doctoral Network / Joint Doctorate (2024-2027),
offering 15 PhD positions starting from September 2024. The objective
of TENORS is to conduct advanced research that addresses critical
challenges in the fields of tensor modeling and computation, joining
forces from algebraic geometry, global optimisation, numerical
computation, high performance computing, data science, quantum
physics.

One position in TENORS is around low-rank representations of numerical
solutions of high-dimensional partial differential operators, for use
in modeling and optimization. In particular we aim at accelerating
isogeometric discretizations that are based on tensor-product or
hierarchical splines. Solving using grid-based methods suffers from
the, so called, curse of dimensionality and scales badly with the
number of knots in the spline representation. We will tackle this
problem using tensor decomposition by means of the moment method. The
problem discretization will be carried out using tensor-product spline
bases, enhanced by the use of low-rank approximation of the
computational domain and the numerical solution. Consequently, the
computational complexity of the method will depend on the resulting
tensor rank and will be linear in the grid dimensions. In a second
phase the discretization will be enriched using hierarchical splines,
for localizing the problem and for gaining efficiency in high
dimensional instances

The candidate will work at INRIA at Universite Cote d'Azur in Sophia
Antipolis, and will spend one semester at the University of Florence
as well as few months at Artelys Paris.

Info: https://tenors-network.eu/dc2-low-rank-approximation-for-tensor-modeling/
Apply: https://tenors-network.eu/phd-positions/


From: Kirk M. Soodhalter ksoodha@maths.tcd.ie
Date: January 24, 2024
Subject: PhD Position, Mathematics, Trinity College Dublin, Ireland


Full Announcement: https://www.maths.tcd.ie/~ksoodha/phd2024

Position: We are looking for a Ph.D. student in applied mathematics to
work on an interdisciplinary project. The student would be situated in
the School of Mathematics at Trinity College Dublin supervised by
Professor Kirk M. Soodhalter. The overarching project is
multidisciplinary (with collaboraton with biomedical engineering
teams) and focuses on the analysis of the brain activity and
connectivity in health and disease, but this Ph.D. position is focused
on the mathematical component (applied linear algebra/ill-posed
problems/image and signal reconstruction and iterative methods to
treat these problems) and requires an applicant with a strong applied
mathematical background, with the goal of earning a Ph.D. in
mathematics.

Candidate: Eligible candidates for the position must have a Masters or
equivalent degree in mathematics. The candidate is expected to have a
solid background in applied mathematics with experience in numerical
analysis, numerical PDEs, integral equations, multivariate
statistics/linear algebra, and inverse problems. Having done a masters
thesis, bachelors project, or other such work in inverse problems,
numerical linear algebra, numerical analysis or a related field would
be an asset, and strong consideration will be given to such
candidates.

Application: Application packages need to contain a CV, a letter of
motivation, copies of degree certificates, and relevant course
transcripts along with contact details of at least two academic
referees. Mark your application with the reference number
#TCDMathNeuro. Further requirements can be found in full announcement.

DEADLINE Rolling until the position is filled but preference will be
given to candidates who apply by 24 February. Apply by emailing
application materials to ksoodha@maths.tcd.ie.


From: Iain Smears i.smears@ucl.ac.uk
Date: January 26, 2024
Subject: PhD Position, Numerical Analysis, Univ College London, UK


Applications are invited for a PhD studentship in Numerical Analysis
in the Department of Mathematics at University College London. The
research theme is the development and analysis of numerical methods
for mean field games, under the supervision of Dr Iain Smears,
Associate Professor in Applied Mathematics. The funding is for 4
years, and includes tuition fee at Home (UK) rate, an annual stipend,
and an allowance for research costs.

Further details, including instructions on how to apply, are available
at
https://www.ucl.ac.uk/maths/home/vacancies/phd-studentship-mathematical-sciences

Informal enquiries should be sent to Dr Iain Smears at
i.smears@ucl.ac.uk The deadline for applications is 03 April 2024.


From: Dr. Denys Dutykh Denys.Dutykh@ku.ac.ae
Date: January 22, 2024
Subject: PhD Positions, Mathematics, Khalifa Univ of Science and Technology, UAE


The Mathematics Department at Khalifa University of Science and
Technology (KU) is delighted to invite applications for several PhD
student positions, commencing on a four-year initial basis. These
positions present a unique opportunity for aspiring scholars to engage
in cutting-edge research in the realms of applied and computational
mathematics, mathematical modelling, nonlinear waves, machine
learning, and dimensionality reduction methods.

Eligibility Criteria: A Master of Science degree from a recognised
university. A minimum Grade Point Average (GPA) of 3.25 on a 4.0
scale. Proficiency in English, evidenced by TOEFL/IELTS scores. A
Graduate Record Examination (GRE) score exceeding 150. Exceptional
candidates holding only a Bachelor of Science degree may be considered
(minimum Cumulative GPA of 3.5/4.0).

Further details on the admission procedure can be found here:
https://www.ku.ac.ae/postgraduate-admissions/

For more information on our funding package, please visit:
https://www.ku.ac.ae/scholarships-postgraduate/

Interested candidates are invited to submit a detailed Curriculum
Vitae, academic transcripts, a statement of research interests, and a
personal research statement via email. All applications will be
thoroughly reviewed, and candidates whose profiles align closely with
our research objectives will be contacted for further discussion.


From: Estelle Massart estelle.massart@uclouvain.be
Date: January 31, 2024
Subject: PhD Positions, Neural Tensor Train Networks, KU Leuven/UCLouvain


We are looking for PhD candidates to fill 2 fully-funded 4-year PhD
positions. One position is in the NUMA unit at the Department of
Computer Science, KU Leuven, Belgium, while the other position is in
the ICTEAM institute at the Mathematical Engineering Departement,
UCLouvain, Belgium. We seek candidates with a Master's degree in
Applied Mathematics, Computer Science, Data Science, and/or (Applied)
Mathematics, broadly defined.

The PhD candidates will carry out fundamental scientific research on
the NTTN project of professors E. Massart (UCLouvain) and N.
Vannieuwenhoven (KU Leuven). This project will develop new machine
learning models and corresponding training algorithms to tackle two
current challenges in data science: growing primary energy consumption
and proliferation of biases in training data. We aim to tackle these
fundamental challenges through an interesting blend of deep learning,
tensor decompositions, Riemannian optimization, and representation
theory.

Applications will be considered as soon as we receive them. The
procedure may be closed earlier than the final application date (March
26, 2024) in case 2 excellent candidates have been found. Some
flexibility in the starting date of the position is possible, but it
must be in 2024. The ideal starting date is before October 2024.

For more information on the KU Leuven position, including the link to
the application website, please consult
https://www.kuleuven.be/personeel/jobsite/jobs/60300439?lang=en

For more information on the UCLouvain position, including the link to
the application website, please consult
https://perso.uclouvain.be/estelle.massart/nttn.html


From: Matthias K Gobbert gobbert@umbc.edu
Date: January 25, 2024
Subject: REU Positions, Big Data with HPC, ONLINE, Jun-Aug 2024


Please forward to undergraduate students interested in AI and HPC!

We are organizing an NSF-funded REU (Research Experiences for
Undergraduates) Site program at UMBC: Online Interdisciplinary Big
Data Analytics in Science and Engineering. It is a purely online
program open to students from the entire nation. The 8-week program
will include training in fundamentals of HPC software (MPI) and
productivity tools (SLURM) on large distributed-memory clusters with
CPUs and GPUs as well as Data Analytics applications like Tensorflow,
Keras, PyTorch, Horovod. Each student will be paid a stipend of
$5,600 for participation and provided with opportunities to present
their work at conferences. We are looking for students from all STEM
disciplines and particularly also for students who are interested in
gaining Big Data, HPC, and application experience.

More information can be found at https://bigdatareu.umbc.edu
and the PDF flyer there. The application deadline is 03/01/2024.
The two project topics planned for summer 2023 are
(1) Artificial Intelligence and Big Data Research for Earth Applications;
(2) Machine Learning in Real-Time Imaging for Proton Radiotherapy.

Both projects are in collaboration with outside collaborators to give
an interdisciplinary research experience. Each team of participants is
supported by a dedicated graduate assistant and will publish a
technical report in the HPCF Tech. Rep. series. Every team in past
years has additionally published at least a conference paper.

Please distribute this opportunity to undergraduate students and
additional colleagues/communities. Thank you very much!

Matthias Gobbert, Math & Stat (gobbert@umbc.edu) and
Jianwu Wang, IS (jianwu@umbc.edu)


From: Irena Lasiecka lasiecka@memphis.edu
Date: January 28, 2024
Subject: Contents, EECT Evolution Equations and Control Theory, 13 (1)


EECT-vol 13, nr 1. February 2024.

1.An anisotropic tempered fractional Laplacian model involving
logarithmic nonlinearity, Lihong Zhang, Wenwen Hou, Juan J. Nieto and
Guotao Wang

2.Sharp polynomial decay rate of multi-link hyperbolic-parabolic
systems with different network configurations, Yan-Fang Li and Yang
Wang

3.Riccati-based solution to the optimal control of linear evolution
equations with finite memory, Paolo Acquistapace and Francesca Bucci

4.Stabilization of a Rayleigh beam with collocated piezoelectric
sensor/actuator, Yubo Bai, Christophe Prieur and Zhiqiang Wang

5.Singular limits and dynamics for the abstract Timoshenko system,
Mirelson M. Freitas, Manoel J. Dos Santos, Dilberto S. Almeida Jr.,
Mauro L. Santos and Anderson J. A. Ramos

6.An effect of decay rates: Supercritical damping and a viscoelastic
term, Fang Li and Xiaolei Li

7.Control of a flexible satellite with an internal nonlinear
disturbance, Billal Lekdim and Ammar Khemmoudj

8.Approximate controllability for second-order stochastic neutral
evolution equations with infinite delay, Xiaodong Kang and Hongxia Fan

9.Unique mild solution for Caputo's fractional perturbed evolution
equations with state-dependent delay, Nardjis Lachachi-Merad, Selma
Baghli-Bendimerad and Mouffak Benchohra

10. Hyers-Ulam stability result for Hilfer fractional
integrodifferential stochastic equations with fractional noises and
non-instantaneous impulses, J. Priyadharsini and P. Balasubramaniam

11. Feedback control problems for a class of backward Riemann-
Liouville fractional evolution hemivariational inequalities with dual
operators, Jiang-tao Liu, Fan Hu and Yi-rong Jiang

12.Sharp estimates for biorthogonal families to exponential functions
associated to complex sequences without gap conditions, Manuel
Gonzalez-Burgos and Lydia Ouaili

13. On theoretical result of a controlled reaction diffusion equation
for Poisson noise reduction, Mourad Nachaoui, Amine Laghrib and
Abdelmajid El Hakoume


From: Yonghui Yu yyu@lsec.cc.ac.cn
Date: January 24, 2024
Subject: Contents, J Computational Mathematics, 42 (1)


Journal of Computational Mathematics, Volume 42 (2024), issue 1
https://www.global-sci.org/intro/articles_list/jcm/2425.html

CONTENTS

Analysis of the Implicit-explicit Ultraweak Discontinuous Galerkin
Method for Convection-diffusion Problems, Haijin Wang, Anping Xu and
Qi Tao

A Newton-type Globally Convergent Interior-point Method to Solve
Multi-objective Optimization Problems, Jauny Prajapati, Debdas Ghosh
and Ashutosh Upadhayay

Convergence Analysis of Some Finite Element Parallel Algorithms for
the Stationary Incompressible MHD Equations, Xiaojing Dong and Yinnian
He

Unconditional Convergence and Error Estimates of a Fully Discrete
Finite Element Method for the Micropolar Navier-Stokes Equations,
Shipeng Mao, Jiaao Sun and Wendong Xue

Semi-implicit Spectral Deferred Correction Methods Based on Second-
order Time Integration Schemes for Nonlinear PDEs, Ruihan Guo and Yan
Xu

Alternating Optimization Method for Isogeometric Topology Optimization
with Stress Constraints, Xiaoya Zhai

A Direct Discontinuous Galerkin Method for Time Fractional Diffusion
Equations with Fractional Dynamic Boundary Conditions, Jingjun Zhao,
Wenjiao Zhao and Yang Xu

The Truncated EM Method for Jump-diffusion SDDEs with Super- linearly
Growing Diffusion and Jump Coefficients, Shounian Deng, Chen Fei,
Weiyin Fei and Xuerong Mao

Legendre-Gauss-Radau Spectral Collocation Method for Nonlinear
Second-order Initial Value Problems with Applications to Wave,
Equations Lina Wang, Qian Tong, Lijun Yi and Mingzhu Zhang

Strong Convergence of Jump-adapted Implicit Milstein Method for a
Class of Nonlinear Jump-diffusion Problems, Xu Yang and Weidong Zhao

Stable Recovery of Sparsely Corrupted Signals Through Justice Pursuit
De-Noising, Ningning Li, Wengu Chen and Huanmin Ge

Uniform Error Bounds of a Conservative Compact Finite Difference
Method for the Quantum Zakharov System in the Subsonic Limit Regime,
Gengen Zhang and Chunmei Su

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