NA Digest, V. 24, # 1

NA Digest Monday, January 22, 2024 Volume 24 : Issue 1


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: Des Higham d.j.higham@ed.ac.uk
Date: January 21, 2024
Subject: Nick Higham (1961--2024)


With great sadness we report that Nick Higham, Royal Society Research
Professor and Richardson Professor of Applied Mathematics at the
University of Manchester, passed away on January 20, 2024, at the age
of 62 after an 18 month struggle with a form of blood cancer. An
obituary describing Nick's research and leadership contributions will
appear in SIAM News in due course.

Francoise Tisseur and Des Higham


From: Jim Uber james.uber@xylem.com
Date: January 18, 2024
Subject: Derivatives of B-Spline Curves with Respect to Values of the Knots


Hi All,

I've got a problem where I'd like to compute derivatives of the
B-Spline S(x) with respect to the knot vector t. I have done this,
seemingly successfully, by differentiating the underlying basis
functions B_i,k;t(x), starting with its recurrence relationship and
deriving the following recurrence relationship for the Jacobian dB/dt.

The thing is, I am a little confused (or concerned) that I can't find
this sort of thing readily in the literature or existing software. I'd
like to know that I'm not missing the boat and should be doing things
in a different or better way.

If anyone has any sprinkles of advice or pointers for information, I
sure would appreciate hearing from you.

Thanks, -Jim


From: Mitchell Graham mgraham@siam.org
Date: December 21, 2023
Subject: New Book, Rough Volatility


Rough Volatility by Christian Bayer, Peter K. Friz, Masaaki Fukasawa,
Jim Gatheral, Antoine Jacquier, and Mathieu Rosenbaum

Volatility underpins financial markets by encapsulating uncertainty
about prices, individual behaviors, and decisions and has
traditionally been modeled as a semimartingale, with consequent
scaling properties. The mathematical description of the volatility
process has been an active topic of research for decades; however,
driven by empirical estimates of the scaling behavior of volatility, a
new paradigm has emerged, whereby paths of volatility are rougher than
those of semimartingales. According to this perspective, volatility
behaves essentially as a fractional Brownian motion with a small Hurst
parameter.

The first book to offer a comprehensive exploration of the subject,
Rough Volatility contributes to the understanding and application of
rough volatility models by equipping readers with the tools and
insights needed to delve into the topic, exploring the motivation for
rough volatility modeling, providing a toolbox for computation and
practical implementation, and organizing the material to reflect the
subject's development and progression.

2023 / xxviii+261/ Softcover / 978-1-61197-777-6 / List $85.00 /
SIAM Member $59.50 / FM02

Bookstore link:
https://my.siam.org/Store/Product/viewproduct/?ProductId=49881964




From: Annalisa Quaini aquaini@central.uh.edu
Date: January 12, 2024
Subject: Power of Diversity in UQ, Italy, Feb 2024


Are you participating to SIAM UQ24 but find the size and breadth of
the conference daunting?

``Power of Diversity in Uncertainty Quantification'' (PoD UQ) is
targeted to graduate students and young researchers to ease their
approach to SIAM UQ24 and ensure they make the most out of it. PoD UQ
will be held the day before the conference starts (i.e., February 26,
2024) and will be hosted by International School for Advanced Studies
(Trieste, Italy). The goals PoD UQ are to: i) Introduce students and
early-career researchers to the state-of-the-art and current trends in
modeling, sampling, and analyzing uncertainties. ii) Offer an
excellent chance for networking with both peers and more established
researchers.

The name of the meeting highlights the central role played by
diversity in UQ, a field whose advancement requires the integration of
mathematics and statistics, theory and computations. Diversity refers
also to the community of under-represent groups that PoD UQ targets
for greater inclusivity.

The full day event, partially funded by the U.S. National Science
Foundation, will have no registration fee. In addition, thanks to the
NSF funding, we may be able to provide support towards a one night
accommodation for attendees affiliated with U.S. institutions.

More details can be found at:
http://go.sissa.it/siamuq24satelliteevent



From: Markus Bachmayr bachmayr@igpm.rwth-aachen.de
Date: December 30, 2023
Subject: Sparsity and Singular Structures, Germany, Feb 2024


The Symposium on Sparsity and Singular Structures 2024 will take place
February 26 to 29 at RWTH Aachen, Germany.

The symposium will focus on the mathematics of sparsity-based methods
in a broad sense, singular structures in PDEs, and interactions
between these fields. In particular, the event will cover relevant
aspects of numerical analysis, analysis of PDEs, mathematical
foundations of machine learning and signal processing, discrete and
continuous optimization, probability theory, and computational
algebra.

For further information, see
https://sfb1481.rwth-aachen.de/symposium24

The program will feature plenary talks, minisymposia and a poster
session. Registration, including the option to submit a poster
abstract, will be open until February 11, 2024.


From: Jim Stewart jrstewa@sandia.gov
Date: January 05, 2024
Subject: Rising Stars in Computational and Data Sciences, USA, Apr 2024


The 5th Rising Stars in Computational and Data Sciences Workshop is
being held April 30-May 1, 2024, at the Oden Institute for
Computational Engineering and Sciences at UT Austin. The event is
co-organized by the Oden Institute and Lawrence Livermore, Los Alamos,
and Sandia National Laboratories. Rising Stars is an intensive
workshop for graduate students and postdocs who are interested in
pursuing academic and research careers. A primary focus of the
workshop is increasing the participation of underrepresented gender
identities in computational and data sciences.

We are seeking nominations for outstanding candidates in their final
year of PhD or within three years of having graduated (and not yet in
a permanent faculty or staff position). All gender identities are
welcome as nominees. We will select approximately 30 participants to
come for two days of research presentations and interactive
discussions about academic and research careers, with financial
support for travel provided.

The nomination consists of sending (1) a letter of nomination and (2)
a copy of the nominee's 2-page resume to Karissa Vail at
karissa.vail@austin.utexas.edu with subject line 'Rising Stars
Nomination. More information can be found at
https://risingstars.oden.utexas.edu/.

Please consider nominating one of your outstanding current/recent PhD
students or postdocs. Nominations are due January 29, 2024.




From: Fernando De Terán fteran@math.uc3m.es
Date: January 03, 2024
Subject: ALAMA Meeting, Spain, Jun 2024


As you may be aware, the 8th ALAMA Meeting: Linear Algebra, Matrix
Analysis and Applications (ALAMA2024) will be held in Gijon, Spain,
June 12 to 14, 2024.

We remind you that the deadline to send mini-symposium or individual
contributions proposals is February 14, 2024.

You can send by email your proposal in any of the areas consistent
with the conference theme. Use the template files provided in the
'Scientific proposals' section of our website.

All relevant information can be found in
https://www.unioviedo.es/alama2024/.


From: Joscha Gedicke gedicke@ins.uni-bonn.de
Date: January 19, 2024
Subject: Comp Methods in Applied Mathematics, Germany, Jun 2024


The 10th International Conference on Computational Methods in Applied
Mathematics (CMAM-10), takes place June 10-14, 2024, in Bonn, Germany,
https://ins.uni-bonn.de/group/gedicke/page/cmam-10

The Conference will be under the aegis of the journal Computational
Methods in Applied Mathematics (CMAM), and focus on various aspects of
mathematical modeling and numerical analysis.

The main topics are: a) Modern numerical methods for discretization of
differential and integral equations; b) Applications of numerical
methods for solving problems of mathematical physics and engineering
problems; c) Fast and robust solvers and their parallelization; d)
Numerical PDE-constrained optimization and numerical treatment of
inverse problems.

The application for minisymposia is open now and conference
registration starts soon.

For more detailed informations please visit
https://ins.uni-bonn.de/group/gedicke/page/cmam-10


From: Manas Rachh mrachh@flatironinstitute.org
Date: December 28, 2023
Subject: Computational Tools for PDEs, USA, Jun 2024


The Flatiron Institute is hosting a workshop entitled 'Computational
tools for PDEs with complicated boundaries and interfaces'. Topics to
be discussed at the conference include: integral equation
formulations, high- order discretizations, fast solvers, PDEs on
surfaces, volumetric representations for variable-coefficient PDEs,
and applications to steady- state and time-dependent problems. The
workshop is aimed at graduate students, postdocs, and practitioners
who are interested in such methods: there will be hands-on tutorials
for using efficient software, as well as an introduction to their
mathematical foundations, and illustrations of their application in
practice.

The workshop will take place at Flatiron Institute from June 10
through June 14, 2024. Please fill out the application form before Feb
29 if you are interested in attending.

More information including the application form can be found at the
Workshop's website:
https://indico.flatironinstitute.org/e/comptools2024




From: Erik Burman e.burman@ucl.ac.uk
Date: January 18, 2024
Subject: European Finite Element Fair, UK, Jun 2024


The 21st European Finite Element Fair will take place at UCL in London
the 21-22 June 2024.

The European Finite Element Fair (EFEF) is an annual series of
informal small workshops throughout Europe with equal initial
conditions for each speaker. EFEF provides a platform for high-level
discussions on current research on finite element approximation, in
the broadest sense, of partial differential equations.

Please see the event website for further information and registration.

https://efef2024.github.io


From: Felix Lucka Felix.Lucka@cwi.nl
Date: January 16, 2024
Subject: Medical Ultrasound Tomography, The Netherlands, Jun 2024


It our great pleasure to announce that the 4th International Workshop
on Medical Ultrasound Tomography (MUST) will take place on June 10-12,
2024 at the Centrum Wiskunde & Informatica in Amsterdam, The
Netherlands. The plenary speakers will be Yonina Eldar (WIS), Ben Cox
(UCL), Christian Bohm (ETH) and Richard Lopata (TU/e).

MUST brings together research groups from around the globe that are
engaged in the development of ultrasound tomography (UST) -- an
emerging medical imaging technique with immense clinical
potential. The workshop is designed to be interactive and intimate,
allowing for discussion, exchange of new ideas and fostering
collaboration between researchers working on all parts of the
development chain of UST, from mathematical modeling over image
reconstruction, processing and analysis to instrumentation, clinical
applications and commercialization.

The call for submissions (oral or poster presentations) is now open.
Abstracts can be submitted until March 1, 2024 via the website, which
also contains further information about MUST:
https://indico.scc.kit.edu/event/3830/


From: Svetozar Margenov margenov@parallel.bas.bg
Date: January 08, 2024
Subject: Numerical Methods for Scientific Computations, Bulgaria, Jun 2024


The Fourth International Conference "Numerical Methods for Scientific
Computations and Advanced Applications" will take place in June 10-14,
2024, Sozopol, Bulgaria: http://parallel.bas.bg/Conferences/nmscaa24/

Specific topics of interest (but not limited to) are the following:
Modeling, simulation and optimization; Multiscale and multiphysics
problems; Robust iterative methods and sparse matrix computation;
Fractional differential equations and non-local problems; Parallel
numerical methods and scalable algorithms; Advanced applications in
science and engineering.

The following special sessions are currently approved: (i)nNumerical
Solution of Fractional Differential Equations and Applications,
organized by L. Aceto (University of Eastern Piedmont, Alessandria,
IT) and S. Harizanov (IICT-BAS, BG); (ii) Advanced Computing in Life
and Material Sciences and Climate Research, organized by N. Ilieva
(IICT-BAS, BG); Mathematical Modelling in Medicine, organized by
S. Fidanova (IICT-BAS, BG)

E-mail: nmscaa24@parallel.bas.bg


From: Nirav Shah nvs31@cam.ac.uk
Date: January 11, 2024
Subject: PDESoft 2024, UK, Jul 2024


We are pleased to announce the PDESoft 2024 conference. PDESoft 2024
is an opportunity for users and developers of software tools for
solving PDEs and allied areas to come together to present and discuss
current and future directions of research.

Areas of focus include: numerical PDE solvers; new and novel software
tools for solving PDEs, including machine learning techniques;
parallel and high-performance computing, including at exascale;
algorithmic and software techniques for novel hardware; numerical
linear algebra and preconditioning; model order reduction; meshing
tools; data visualisation; user interfaces to scientific software; any
other part of the PDE toolchain.

PDESoft 2024 will be held at the Moller Institute, Churchill College,
Cambridge, UK. The conference will begin at 10:00am BST on Monday 1
July and will end at 3:00pm BST on Wednesday 3 July. PDESoft 2024
follows in the successful footsteps of PDESoft 2012 in Munster,
PDESoft 2014 in Heidelberg, PDESoft 2016 in Warwick and PDESoft 2018
in Bergen.

For further information please visit website: www.pdesoft.org




From: Tommaso Giovannelli tog220@lehigh.edu
Date: January 07, 2024
Subject: Modeling and Optimization: Theory and Applications, USA, Aug 2024


The Department of Industrial and Systems Engineering (ISE) at Lehigh
University invites you to contribute to the Modeling and Optimization:
Theory and Applications (MOPTA) 2024 Conference, which will take place
at Lehigh University in Bethlehem, Pennsylvania, USA on August 14-16,
2024, and to participate in the iMOPTA Workshop and in the AIMMS/MOPTA
Competition (https://coral.ise.lehigh.edu/~mopta/).

DISTINGUISHED PLENARY SPEAKERS: Miguel Anjos (University of
Edinburgh), Harbir Antil (George Mason University), Edward Farhi (MIT),
Dorit S. Hochbaum (University of California, Berkeley), Pinar Keskinocak
(Georgia Tech), Madeleine Udell (Stanford University), Rene Vidal
(University of Pennsylvania)

Abstract Deadline: Sunday, June 2, 2024

REGISTRATION: Registration for MOPTA and iMOPTA will open in January
2024

CONTRIBUTED TALKS, INVITED TALKS, POSTER PRESENTATIONS, AND ORGANIZED
SESSIONS: Abstracts for contributed talks, invited talks, and poster
presentations are now being accepted. For more details, visit
https://coral.ise.lehigh.edu/~mopta/abstracts



From: Per Christian Hansen pcha@dtu.dk
Date: January 02, 2024
Subject: UQ for Inverse Problems and Imaging, UK, Sep 2024


Workshop homepage: https://www.icms.org.uk/UQIPI24

This workshop brings together specialists in UQ for inverse problems
and imaging, and we invite talks related to the development of theory,
methodology, and software. We also invite talks about applications of
UQ in imaging. The goal is to stimulate networking and collaboration
between researchers and students in these areas, and to present state-
of-the-art research results.

As part of the workshop, we give a short training course on the CUQIpy
software (https://sites.dtu.dk/cuqi#Software), which includes hands-on
tutorials with examples from image deblurring, X-ray CT, and inverse
problems based on PDEs. Half of the course is devoted to working on a
small use-case with CUQIpy, and participants are encouraged to bring
their own case and data.

Participation in presence only. You can apply to attend using the link
on the workshop homepage. Please fill in the form before the deadline
8th April 2024 otherwise your application will not be reviewed. All
applicants will be contacted by the organizers before May regard- ing
the application result.

For questions, please contact the organizers:
Per Christian Hansen, Technical University of Denmark, pcha@dtu.dk
Marcelo Pereyra, Heriot-Watt University, m.pereyra@hw.ac.uk
Yiqiu Dong, Technical University of Denmark, yido@dtu.dk


From: Michael Negus michael@vanellus.tech
Date: January 11, 2024
Subject: Computational Mathematician Position, Cambridge, UK


We are looking for a computational mathematician with strong
experience in numerical analysis and programming to join our
early-stage fluid simulation startup.

Collaborating with our team of mathematicians and machine learning
engineers, you will be driving forward the development of our flagship
ML accelerated CFD product. Help us in extending cutting-edge machine
learning and numerical analysis techniques to bring order-of-magnitude
efficiency gains to engineering users.

Company: Vanellus (https://vanellus.tech/).
Compensation: 50,000 GBP salary + equity options.
Contract: Permanent, full-time.
Work location: In-person, Cambridge, UK (~10-minute walk from the
train station).
Start date: Ideally by April 2024.

For more information, see: https://vanellus.tech/vanellus-careers



From: M. Seaid m.seaid@durham.ac.uk
Date: January 17, 2024
Subject: Associate Professor Position, Comp Mechanics, Durham Univ, UK


We are seeking to appoint an outstanding individual with an
established academic career and research interests focused on
Computational Solid Mechanics. This appointment will enhance the
node's capabilities in an area integral to the Department of
Engineering's long-term research strategy. We welcome applicants with
research and teaching interests in one or more of the following
Computational Mechanics application areas: fracture / fatigue, coupled
problems, multi-physics problems, contact and friction, plus other
areas that focus on solving / understanding solid mechanics problems
using computational methods. We are open to candidates that
specialise in the development of new numerical methods as well as
those that focus on applying existing techniques to solve challenging
engineering problems.

Web link to vacancy:
https://durham.taleo.net/careersection/du_ext/jobdetail.ftl?job=23002197&tz=GMT%2B00%3A00&tzname=Europe%2FLondon



From: Anna Mallett sci-maths-jobs@monash.edu
Date: January 19, 2024
Subject: Lecturer/Senior Lecturer/Associate Professor Positions, Monash Univ


The School of Mathematics at Monash University invites applications
for the positions of Lecturer / Senior Lecturer and Associate
Professor. There are currently 5 positions available.

Applicants must apply via the links provided in the job advertisement
webpage by 15 March 2024 -
https://careers.pageuppeople.com/513/cw/en/job/660206/expressions-of-interest-multiple-positions-as-lecturer-senior-lecturer-asso\
ciate-professor

The School of Mathematics is a research leader with a strong
international reputation and is one of the largest of the five Schools
in the Faculty of Science. The successful candidate will be expected
to contribute to teaching of general undergraduate mathematics units
as well as specialist topics where relevant, and conduct cutting edge
mathematical research within a range of mathematical areas.

Candidates will be expected to have an outstanding research record and
help our drive for excellence in teaching and research across the
School. Exceptional candidates in any area of mathematics will be
considered, but areas that are of specific interest include
combinatorics, topology, optimisation, numerical analysis, machine
learning, mathematical physics, and statistical learning. Of
particular interest are candidates with connections to AI and Data
Science, an area that the School is actively looking to grow.

To be considered you will have a PhD in mathematics or a related area,
proven ability to perform independent research, strong evidence of
effective teaching and the supervision of research students.


From: Harbir Antil hantil@gmu.edu
Date: December 23, 2023
Subject: Postdoc Position, George Mason Univ, USA


The George Mason University, Center for Mathematics and Artificial
Intelligence (CMAI) and Department of Mathematical Sciences, invites
well-qualified candidates to apply for a twelve-month Postdoctoral
Research Fellow position. Just 20 miles from the Nations capital, GMU
is uniquely positioned to enable collaborations with multiple academic
institutions, government labs and industries. GMU has a strong
institutional commitment to the achievement of excellence and
diversity among its faculty and staff, and strongly encourages
candidates to apply who will enrich GMU's academic and culturally
inclusive environment.

Responsibilities: This position entails working directly in the
research group of Dr. Harbir Antil in collaboration with various
national labs. Current group's broad research interests are in:
numerical analysis, optimization, optimization problems with PDE
constraints (with or without uncertainty), reduced order modeling,
deep learning, digital twins and several application areas in fluid
dynamics, neuromorphic imaging, structures, etc. The initial
appointment will be for one year, with the possibility of yearly
extensions depending on the availability of funds.

Contact: Interested candidates should apply using mathjobs system and
also reach out to Dr. Antil via email hantil@gmu.edu in case there are
any questions. Here is the mathjobs link:
https://www.mathjobs.org/jobs/list/23879



From: Barbara Verfuerth verfuerth@ins.uni-bonn.de
Date: January 19, 2024
Subject: Postdoc Position, Numerical Analysis, Univ of Bonn, Germany


The Institute for Numerical Simulation at University of Bonn is
looking for a research assistant (Postdoc, 100%, TVL E13) in numerical
analysis for a period of two years, starting as soon as possible. The
position is within the group of Prof. Barbara Verfuerth. A particular
focus of the position is the numerical homogenization for temporal
metamaterials with a project of the collaborative research center
"Wave phenomena". Further, the position also offers the possibility
to further develop your own research profile.

Applicants should have a doctoral degree in mathematics and a strong
background in numerical methods for partial differential equations and
numerical analysis as well as programming knowledge. Within the
project, you will collaborate with physicists from Karlsruhe Institute
of Technology.

The Institute or Numerical Simulation covers research and teaching of
numerical analysis, simulation and scientific computing. It is part of
Bonn Mathematics and provides a stimulating top-research environment
with ideal opportunities for collaboration and networking.

For further details, in particular how to apply, please refer to the
full advertisement
https://www.uni-bonn.de/de/universitaet/medien-universitaet/medien-arbeiten-an-der-uni/medien-personalmanagement/pdfs-stellenauss\
chreibungen-wiss.ma/53-23-331_en.pdf

Please address any questions regarding the position to
Prof. Dr. Barbara Verfuerth.



From: Stefano Pozza pozza@karlin.mff.cuni.cz
Date: January 09, 2024
Subject: Postdoc Position, Numerical Linear Algebra, Charles Univ, Czech Rep


A Postdoc position is available within the framework of the Primus
Research Programme "A Lanczos-like Method for the Time-Ordered
Exponential" (https://www.starlanczos.cz) at the Faculty of
Mathematics and Physics, Charles University, Prague.

The appointment period is one year, with a possible extension till the
end of 2025. The Postdoc will start in May 2024. The starting date is
negotiable.

We are looking for candidates with a strong background in numerical
linear algebra. In particular, we seek applicants with expertise in
matrix equations and Krylov subspace methods. The applicant must hold
a Ph.D. degree by the starting date.

Application deadline: February 29, 2024.

More information and application instructions:
https://www.starlanczos.cz/open-positions


From: Prof. Serafim Kalliadasis s.kalliadasis@imperial.ac.uk
Date: January 21, 2024
Subject: Postdoc Position, Statistical Mechanics of Nonequilibrium Processes, UK


Our group is seeking to fill a Postdoctoral Research Associate
position in Statistical Mechanics of Nonequilibrium Processes --
applications are invited by highly talented researchers of outstanding
ability. The position is part of the ERC Advanced Grand/UKRI Frontier
Research "Machine- Aided General Framework for Fluctuating Dynamic
Density Functional Theory (MAGFFDDFT)". The overarching objective is
the development of a generic theoretical- numerical framework aided by
machine learning (ML) that would allow us to obtain rationally and
systematically optimal low-dimensional general laws governing the
dynamics of observables, which in turn can be used for the accurate
and efficient analysis of classical fluids, and complex multiscale
systems (CMS) in general, in far from equilibrium conditions. Your
work will be primarily theoretical aiming at the development of new
models from first principles and exploring the mathematical structure
of the theory. But you will also work closely with the parallel
computational effort on the project involving physics-informed ML, in
particular coupling the theoretical developments with ML. You should
have (or about to receive) a PhD in Applied Mathematics, Engineering,
Physics, or other related field, and a strong foundation and proven
record in mathematical techniques (analytical, numerical) and general
mathematical modelling. Given the technical complexity of the
research, you should have strong problem-solving skills.

You can start immediately, and the post is available for 36 months in
the first instance, with the possibility of extension subject to
research funding. The post is based in the Department of Chemical
Engineering at Imperial College London (South Kensington Campus).

Informal enquiries about the post can be made to Professor Serafim
Kalliadasis (s.kalliadasis@imperial.ac.uk). To apply, please visit our
website: https://www.imperial.ac.uk/jobs/. You will find this vacancy
by searching either the position title or job number: ENG02700. You
will need to complete an online application. Further information aboutthe post is available in the job description. For any queries about
the application process, or if you are unable to apply online, please
contact Mrs Sneha Saunders (chemeng.staffing@imperial.ac.uk).



From: Ernesto Castillo D ernesto.castillode@usach.cl
Date: January 03, 2024
Subject: Postdoc Position, Univ of Santiago de Chile, Chile


A PostDoc position (24 months) is open in the Computational Heat and
Fluid Flow Lab (https://www.researchgate.net/lab/Computational-Heat-
and-Fluid-Flow-Lab-Ernesto-Castillo) at the Mechanical Engineering
Department of University of Santiago de Chile. We are searching for a
PostDoc in Engineering, Mathematics, Computer Science or related
fields with good skills in Python and C++ to further develop our
software. The project will encompass the development of inverse and
forward reduced-order models for hemodynamic flows. We will use
stabilized finite element formulations (possibly high-order VMS ones)
to represent the fluid dynamic problem accurately and develop
high-fidelity learning algorithms. PINNs and related machine-learning
strategies to estimate fluid-flow parameters and biomarkers will be
coupled to efficiently simulate and model full-order three-dimensional
dynamical states. The working team will be composed by professor
Ernesto Castillo from the University of Santiago de Chile and
professor Felipe Galarce from the Pontifical Catholic University of
Valparaiso. The base gross monthly salary is 1.800.000 CLP (US$
2035.44). Additionally, this salary may be complemented with the
FONDECYT Project 1210156 (10 to 15% extra). Additionally, the postdoc
will be able to work teaching a course (in Spanish) at the Faculty of
Engineering of the University of Santiago de Chile (subject to
availability), which will be paid separately. The project begins in
March/April 2024 and does not include flight tickets.

To further details write to: ernesto.castillode@usach.cl or
felipe.galarce@pucv.cl




From: Lorenzo Tamellini tamellini@imati.cnr.it
Date: December 24, 2023
Subject: Postdoc Positions, CNR-IMATI Pavia, Itlay


Applications are invited for four postdoc positions at CNR-IMATI,
Pavia (Italy), on the following topics:

- Uncertainty quantification (contact: lorenzo.tamellini@imati.cnr.it,
deadline: Jan. 12, 2024);
- Isogeometric analysis (contact: andrea.bressan@imati.cnr.it,
deadline: Jan. 19, 2024);
- Systems of conservation laws (contact: laura.spinolo@imati.cnr.it,
deadline: Jan. 22, 2024);
- Analysis of fluid-dynamic traffic models (contact:
laura.spinolo@imati.cnr.it, deadline: Feb. 5, 2024).

For more information, please refer to
https://sites.google.com/view/research-positions-imati-pv
or send an email to the contact person.



From: Benjamin Stamm best@ians.uni-stuttgart.de
Date: January 05, 2024
Subject: PhD Position, Computational Mathematics, Univ of Stuttgart


We seek for a Ph.D. or Postdoc candidate to work on a project within
the DFG Priority Programme SPP 2256 "Variational Methods for
Predicting Complex Phenomena in Engineering Structures and
Materials". The project deals with the development of reduced-order
models for the prediction of plastic events in disordered 2D
materials.

The application deadline is January 31, 2024, for a start on March 1st
or upon common agreement.

All further information can be found under https://careers.uni-
stuttgart.de/job-invite/1421/



From: Ward Melis ward.melis@kuleuven.be
Date: January 09, 2024
Subject: PhD Position, Tensor Compression for ML Models, KU Leuven


Artificial Intelligence has revolutionized the way images are
processed. During the last years, spectral imagers (e.g.,
hyperspectral, CT) have become commercially available, which offer in
particular great added for quality control in agrofood. However,
spectral imaging devices are burdened by the complexity and high
dimensionality of generated data compared to classical imagers. In
addition, machine learning models typically require large, labelled
datasets which are generally unavailable for spectral images. There is
thus a need for efficient learning strategies. The objective of this
project is to develop tensor-based compression algorithms for
efficiently building machine learning models for high- dimensional,
spectral images in agrofood applications. In this research work, you
will first evaluate the performance of tensor decomposition and
compression when applied to spectral data and fed into a machine
learning pipeline. Subsequently, you will go well beyond the state of
the art and develop novel methods that adapt the tensor decomposition
to align better with the machine learning goal (e.g., classification,
regression, clustering).

Official job vacancy, see:
https://www.kuleuven.be/personeel/jobsite/jobs/60295316?lang=en




From: Annika Lang annika.lang@chalmers.se
Date: January 08, 2024
Subject: PhD Positions, Chalmers & Univ of Gothenburg, Sweden


We are currently recruiting new 12 PhD students at the Department of
Mathematical Sciences at Chalmers and the University of Gothenburg
including positions in probability and statistics:
https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=12427&rmlang=UK

Application deadline: February 19, 2024

Please forward the announcement to interested candidates, especially
master students in their final year. Thank you in advance!




From: Andrea Cangiani andrea.cangiani@sissa.it
Date: January 05, 2024
Subject: PhD Positions, Math Analysis, Modelling, and Apps, Italy


Applications are invited for 8 PhD positions in Mathematical Analysis,
Modelling, and Applications (AMMA). Research lines are flexible within
the activity of the Analysis, Mathematical Modelling research groups,
including Numerical Analysis and Scientific Computing.

SISSA is one of seven centres of excellence in Italy dedicated to
doctorate training. The AMMA PhD positions are fully funded for 4
years and include access to over 30 advanced lecture courses each
year. Admission is by means of an entrance examination.

For full details and application form, visit:
https://www.sissa.it/bandi/ammissione-ai-corsi-di-phd-della-sissa-lanno-accademico-202425-admission-sissa-phd-courses

Deadline: 5th February 2024


From: Dr. Denys Dutykh Denys.Dutykh@ku.ac.ae
Date: January 16, 2024
Subject: PhD Positions, Mathematics, Khalifa Univ of Science and Technology


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: Carsten Carstensen carsteca@cms.hu-berlin.de
Date: January 09, 2024
Subject: Contents, Computational Methods in Applied Mathematics, 1


Computational methods in applied mathematics (2024), No 1

1. Approximate Deconvolution with Correction -- A High Fidelity Model
for Magnetohydrodynamic Flows at High Reynolds and Magnetic, Reynolds
Numbers. Yasasya Batugedara, Alexander E. Labovsky

2. Well-Posedness and Convergence Analysis of PML Method for Time-
Dependent Acoustic Scattering Problems Over a Locally Rough Surface,
Hongxia Guo, Guanghui Hu

3. A New Immersed Finite Element Method for Two-Phase Stokes Problems
Having Discontinuous Pressure, Gwanghyun Jo, Do Young Kwak

4. Simultaneous Recovery of Two Time-Dependent Coefficients in a
Multi-Term Time-Fractional Diffusion Equation, Wenjun Ma, Liangliang
Sun

5. H2-Conformal Approximation of Miura Surfaces, Frederic Marazzato

6. A Second-Order Difference Scheme for Generalized Time-Fractional
Diffusion Equation with Smooth Solutions, Aslanbek Khibiev, Anatoly
Alikhanov, Chengming Huang

7. Volume Integral Equations and Single-Trace Formulations for
Acoustic Wave Scattering in an Inhomogeneous Medium, Ignacio Labarca,
Ralf Hiptmair

8. An Adaptive Two-Grid Solver for DPG Formulation of Compressible
Navier-Stokes Equations in 3D, Waldemar Rachowicz, Witold Cecot, Adam
Zdunek

9. An Efficient Discretization Scheme for Solving Nonlinear Ill-Posed
Problems, M. P. Rajan, Jaise Jose

10. Tensor-Product Space-Time Goal-Oriented Error Control and
Adaptivity With Partition-of-Unity Dual-Weighted Residuals for
Nonstationary Flow Problems. Julian Roth, Jan Philipp Thiele, Uwe
Kocher, Thomas Wick

11. Identification of an Inverse Source Problem in a Fractional
Partial Differential Equation Based on Sinc-Galerkin Method and TSVD
Regularization, Ali Safaie, Amir Hossein Salehi Shayegan, Mohammad
Shahriari

12. A Formulation for a Nonlinear Axisymmetric Magneto-Heat Coupling
Problem with an Unknown Nonlocal Boundary Condition, Ran Wang, Huai
Zhang, Tong Kang

13. Landweber Iterative Method for an Inverse Source Problem of Time-
Space Fractional Diffusion-Wave Equation, Fan Yang, Yan Zhang,
Xiao-Xiao Li


From: Roman Chapko roman.chapko@lnu.edu.ua
Date: December 29, 2023
Subject: Contents, J Applied and Numerical Analysis (JANA), 1


Journal of Applied and Numerical Analysis (JANA),
Volume 1, December 2023 (available for free download)
http://jana.lnu.edu.ua/en/pages/jana_current_en.html

Contents

Argyros Ioannis K., John Jinny Ann, Jayaraman Jayakumar, Increased and
extended convergence of a family of three-step methods

Borachok I., Chapko R., Johansson B.T., A fundamental sequences method
with time-reduction for one- dimensional lateral Cauchy problems

Gupta N., Sivananthan S., Sriperumbudur B.K., Convergence analysis of
kernel conjugate gradient for functional linear regression

Makarov V.L., Mayko N.V., Ryabichev V.L., The accuracy estimates of
the Cayley transform method for the abstract Cauchy problem

Myleiko H., Solodky S., On learning rates for regularized Nystrom
subsampling in unsupervised domain adaptation

Plaskota L., In the search for all zeros of smooth functions

Shakhno S. Yarmola H., On the Newton-Broyden method for solving
systems of nonlinear equations

Sonnleitner M., Ullrich M., On the power of iid information for linear
approximation

Sybil Yu., The boundary value problem for the two-dimensional Laplace
equation with transmission conditions given on open Lipschitz curve

Beshley A., Borachok I., Ivanyshyn Yaman O., Makarov V., Mayko N.,
Ryabichev V., Timokha O., Vasylyk V., Vavrychuk V., 60th anniversary
of birthday of Professor Roman Chapko


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