NA Digest, V. 22, # 24

NA Digest Friday, July 15, 2022 Volume 22 : Issue 24


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: Mitch Graham mgraham@siam.org
Date: July 08, 2022
Subject: New Book, Evaluation Complexity of Algorithms


Evaluation Complexity of Algorithms for Nonconvex Optimization:
Theory, Computation, and Perspectives

From Coralia Cartis, Nicholas I. M. Gould, and Philippe L. Toint, this
is the go-to book for anyone interested in solving nonconvex
optimization problems. It is the first book on evaluation complexity
to cover topics such as composite and constrained optimization,
derivative-free optimization, subproblem solution, and optimal (lower
and sharpness) bounds for nonconvex problems. It is also the first to
address the disadvantages of traditional optimality measures and
propose useful surrogates leading to algorithms that compute
approximate high-order critical points, and to compare traditional and
new methods, highlighting the advantages of the latter from a
complexity point of view.

June 2022 / xviii + 531 pages / Hardcover / 978-1-611976-98-4 / MO30

Bookstore Link
https://my.siam.org/Store/Product/viewproduct/?ProductId=3D41813864


From: Mitch Graham mgraham@siam.org
Date: July 08, 2022
Subject: New Book, Foundations of Computational Imaging


Collecting a set of classical and emerging methods not available in a
single treatment, Foundations of Computational Imaging: A Model-Based
Approach by Charles A. Bouman is the first book to define a common
foundation for the mathematical and statistical methods used in
computational imaging. The book brings together a blend of research
with applications in a variety of disciplines, including applied math,
physics, chemistry, optics, and signal processing, to address a
collection of problems that can benefit from a common set of methods.

July 2022 / xii + 337 pages / Softcover / 978-1-611977-12-7 / List
$84.00 / SIAM Member $58.80 / OT180

Bookstore Link
https://my.siam.org/Store/Product/viewproduct/?ProductId=3D42408254


From: Dmitri Kvasov kvadim@dimes.unical.it
Date: July 09, 2022
Subject: New Book, Numerical Infinities and Infinitesimals in Optim


The new Springer book "Numerical Infinities and Infinitesimals in
Optimization" https://link.springer.com/book/10.1007/978-3-030-93642-6
edited by Yaroslav D. Sergeyev (University of Calabria, Italy) and
Renato De Leone (University of Camerino, Italy) contains contributions
of 22 authors using in optimization a new powerful supercomputing
paradigm http://www.theinfinitycomputer.com/ allowing to numerically
work with different infinities and infinitesimals on the Infinity
Computer patented in several countries. This is the first book
presenting to the readers interested in optimization the advantages of
the paradigm. The volume provides a friendly introduction to the
paradigm and a broad panorama of killing applications of the Infinity
Computer in optimization: radically new numerical algorithms, great
theoretical insights, efficient software implementations, and
interesting practical case studies. One of the editors of the book is
the creator of the Infinity Computer, and another editor was the first
who has started to use it in optimization. Their results were awarded
by numerous scientific prizes. This engaging book opens new horizons
for researchers, engineers, professors, and students with interests in
supercomputing paradigms, optimization, decision making, game theory,
and foundations of mathematics and computer science. This volume is a
part of the Springer book series Emergence, Complexity and
Computation.


From: Kai Diethelm kai.diethelm@fhws.de
Date: July 07, 2022
Subject: Fractional Models in Engineering, Germany, Sep 2022


The University of Stuttgart will organize a blended intensive
programme on fractional models in engineering. The course will contain
a presence phase to be held in Stuttgart from 12 September until 24
September and a subsequent online phase. It is directed towards
masters students, Ph D students and active senior researchers who are
interested in gaining insight into the applications of fractional
calculus in various fields of engineering and into the related
numerics. Full information is available at
https://www.inm.uni-stuttgart.de/aktuelles/news/Erasmus-Blended-Intensive-Programme-BIP-organized-by-INM/

Registration is open now; contact details are given at the website
above.


From: Tobias von Petersdorff petersd@umd.edu
Date: July 08, 2022
Subject: Sayas Numerics Day, USA, Sep 2022


SAYAS NUMERICS DAY
9am to 6pm, September 17, 2022
University of Maryland at Baltimore County

This annual workshop (formerly DelMar Numerics Day) displays the
diversity of research in computational mathematics in Maryland,
Virginia, Delaware and vicinity.

The meeting is named in honor of Francisco Javier Sayas (1968-2019).
He played a key role in establishing and running DelMar Numerics Day,
and was dedicated to its mission of giving especially younger
mathematicians an opportunity to share their work.

Karen Willcox (Univ. of Texas at Austin) will give the keynote talk:
Beyond forward simulations: From reduced-order models to digital twins
with computational science

There will be 12 contributed talks (20 min. each), selected by the
scientific committee to represent diverse topics of research in
computational mathematics.

Registration is free. We particularly encourage graduate students and
young researchers to attend and submit talks. The deadline for
submitting talks is August 31, 2022.

http://numericsday.math.umd.edu


From: Xu Zhang xzhang@okstate.edu
Date: July 07, 2022
Subject: SIAM Central States Section Meeting, USA, Oct 2022


We have extended the deadline for submitting Mini-symposium Proposals
for SIAM Central States Section Annual Meeting to July 31,
2022. Please note that each mini-symposium may consist of up to 4
sessions. Each session contains 4 talks (20 minutes for each talk).

Please also note other deadlines listed as follows
- July 31, 2022: Contributed talks and poster presentation
- August 31, 2022: Financial support application
- August 31, 2022: Early bird conference registration (with reduced rate).

For more information of the conference, please visit the conference
website https://siamcss2022.okstate.edu

If you have any question, please send an email to
siamcss2022@okstate.edu



From: Harbir Antil hantil@gmu.edu
Date: July 07, 2022
Subject: SIAM Washington DC Section Meeting, USA, Nov 2022


We cordially invite you to participate in the in-person SIAM
Washington DC Section Meeting on November 4, 2022 (Friday) from
Noon-5PM in Arlington, Virginia.

The meeting consists of:
1) Keynote talks:
- Howard C Elman (University of Maryland, College Park)
- Stefan Wild (Argonne National Lab)
2) Panel led by program officers from three funding agencies:
- National Science Foundation (NSF)
- Air Force Office of Scientific Research (AFOSR)
- Office of Naval Research (ONR)
3) Poster session by students, postdocs and early career researchers.

Please see the meeting website for more details. Everyone is welcome
to attend but registration is mandatory
(https://math.gmu.edu/~hantil/SIAM/Fall2022/).

Please let us know if there are there are any questions.


From: Matteo Giacomini matteo.giacomini@upc.edu
Date: July 14, 2022
Subject: ECCOMAS-IACM Math 2 Product, Italy, May 2023


We are pleased to announce the inaugural edition of the ECCOMAS
Thematic Conference - IACM Special Interest Conference series "Math 2
Product (M2P): Emerging Technologies in Computational Science for
Industry, Sustainability and Innovation".

The conference will take place in Taormina (Sicily, Italy) from May 30
to June 1, 2023 (we refer to the website https://m2p2023.cimne.com/
for more information).

The goal is to establish the M2P conference series as a recognised
international platform to promote a deep interplay between academic
and industrial realities, covering current and new trends in industry
4.0, sustainability and innovation.

Plenary lectures will be delivered by Irene Arias (Universitat
Politecnica de Catalunya, Spain), Charbel Farhat (Stanford University,
USA), Paola Goatin (Inria, France) and Ricardo Vinuesa (KTH Royal
Institute of Technology, Sweden).

Confirmed industrial partners: ATM (Italy), Bracco (Italy), Cetena
(Italy), Dofware (Italy), Electrolux (Italy), Micron (Italy), NVIDIA
(UK), Pirelli (Italy), PoliHub Milano (Italy), Scuderia Alpha Tauri
(Italy), Siemens (Germany), Tenova (Italy), Thales (France), Trenord
(Italy), Volkswagen (Germany).

The call for minisymposia proposals is currently open. Proposals
including the title of the Invited Session and the name of the
organisers should be submitted by e-mail to
M2P_Conference-Secre@cimne.upc.edu by July 31, 2022. An abstract will
be required at a later stage.



From: Svetozar Margenov margenov@parallel.bas.bg
Date: July 09, 2022
Subject: Large-Scale Scientific Computations, Bulgaria, Jun 2023


The 14th International Conference "Large-Scale Scientific
Computations" will take place in June 5-9, 2023, Sozopol, Bulgaria:
http://parallel.bas.bg/Conferences/SciCom23/

Topics: hierarchical, adaptive, domain decomposition and local
refinement methods; robust preconditioning algorithms; Monte Carlo
methods and algorithms; numerical linear algebra; control systems;
parallel algorithms and performance analysis; large-scale computations
of environmental, biomedical and engineering problems.

Plenary invited speakers: Boian Alexandrov (Los Alamos National
Laboratory, USA); Daniele Boffi (King Abdullah University of Science
and Technology, Thuwal, Saudi Arabia); Maya Neytcheva (Uppsala
University, Sweden); Geraldine Pichot (INRIA, Paris, France); Joachim
Schoberl (Vienna University of Technology, Austria); Ivan Yotov
(University of Pittsburgh, USA).

Applications for organizing special sessions are welcome till
September 30, 2020.

Conference chairman: Svetozar Margenov
Conference secretary: Silvia Grozdanova
E-mail: scicom23@parallel.bas.bg


From: Idoia Hernandez recruitment@bcamath.org
Date: July 08, 2022
Subject: Research Technician Position, ML/Optimization, BCAM


Basque Center for Applied Mathematics is offering a Research
technician position to work in Applications of machine learning and
heuristic optimization to real-world problems with Dr Aritz Perez: 1)
Formalize a clustering and classification problem to support language
teaching decisions. 2) Formalize the multi-objective optimization
problem of warehouse management and design a suitable heuristic
algorithm to solve it.

Deadline: 15 July 2022
Applications at: http://www.bcamath.org/en/research/job/ic2022-06-research-technician-in-applications-of-machine-learning-and-heuristic-optimization
Contract: 6 months with possible extension

Requirements: Experience programming with Python. Have obtained a
degree in mathematics, computer science or physics within the last 5
years.

Skills: Ability to present and publish research outcomes in spoken
(talks) and written (papers) form. Ability to write technical
reports. Demonstrated ability to work independently and as part of a
collaborative research team. Fluency in spoken and written Spanish.
Experience in supervised classification and multiobjective heuristic
optimization.

The preferred candidate will have: Good programming skills in Python.
Background in machine learning Background in heuristic optimizacion
Background in mathematics/probability/statistics. Interest and
disposition to work in an interdisciplinary group.


From: Yang Liu liuyangzhuan@lbl.gov
Date: July 14, 2022
Subject: Postdoc Position, Computational Science, Lawrence Berkeley NL


Berkeley Lab's (LBNL) Scalable Solvers Group in the Applied
Mathematics and Computational Research Division has an opening for a
Computational Science Postdoctoral Scholar in the area of plasma
simulation and machine learning. The project involves the development
of alternatives to particle-in-cell algorithms, as well as machine
learning based surrogate simulators for kinetic modeling of particle
accelerators and fusion devices. Application link:
https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=3Den&job=3D96330

What You Will Do: Develop efficient first-principle algorithms for
kinetic plasma simulation of particle accelerators and fusion devices.
Develop physics-informed machine learning algorithms as surrogate
simulators for particle accelerators and fusion devices. Develop
high-performance machine learning packages that can be integrated with
existing particle-in-cell or fluid-based codes. Work in a
multidisciplinary team environment including mathematicians, computer
scientists, and domain scientists. Write peer-reviewed journal
articles and attend international/domestic conferences.

What is Required: Ph.D. in Mathematics, Computer Science,
Computational Science, Physics, Engineering, or equivalent. Expertise
in computational electromagnetics or plasma simulation with at least
one of the following experiences: particle-in-cell, boundary element
method, time-domain simulation, and fast analytical or algebraic
algorithms. Proficiency in a high-performance programming language
including C/C++/Fortran and MPI.

Desired Qualifications: Knowledge of machine learning algorithms and
fast numerical linear algebra.


From: Carola Kruse carola.kruse@cerfacs.fr
Date: July 08, 2022
Subject: Postdoc Position, Grammar-guided Multigrid, Cerfacs, France


A two-year Postdoc position is available at Cerfacs, Toulouse. The
project aims to develop concepts and a toolchain based on artificial
intelligence to automatically generate a performant preconditioner for
a Krylov subspace iterative solver for the solution of linear systems
arising from a discretized Stokes problem. We will focus in particular
on a geometric multigrid preconditioner for the (1,1)-block, here, the
Laplace operator, to ensure the scalability of the solver when passing
to large-scale problems. The solver will be broken down into
components, which are then recombined in an optimal manner for
predefined criteria, using evolutionary algorithm design
techniques. The particular difficulty to develop such a toolchain for
saddle point systems is the large number of possible combinations of
solution techniques, e.g., preconditioned Krylov subspace solvers,
Schur complement approaches, deflation and augmentation techniques, or
also monolithic multigrid solvers on the whole block system. As final
step, we envisage to obtain executable code applying the best guess
solver through automatic code generation.

Required profile: PhD with experience in one or several of the
following domains: applied mathematics, computer science, iterative
solvers, numerical linear algebra, artificial intelligence, high
performance computing.

Further information is available at
https://cerfacs.fr/offer/2-years-postdoc-project-grammar-guided-multigrid-solver-optimization-for-the-stokes-equations/


From: Francesco Tudisco francesco.tudisco@gssi.it
Date: July 15, 2022
Subject: Postdoc Position, NA and Machine Learning, GSSI-SNS, Italy


Gran Sasso Science Institute (GSSI) and Scuola Normale Superiore (SNS)
have a joint opening for a Postdoctoral Fellow position on the
analysis and training of neural dynamical systems.

The successful candidate will collaborate with faculty members at GSSI
and SNS, developing novel techniques and algorithms for neural
networks defined via nonlinear systems of ODEs and PDEs, combining
techniques from Numerical Analysis, Network Science and Machine
Learning.

This is a two year position, with the first year spent at GSSI in
L'Aquila and the second year at SNS in Pisa, coordinated by the three
PIs: Michele Benzi (SNS), Nicola Guglielmi (GSSI), Francesco Tudisco
(GSSI).

We are looking for candidates who have a PhD in Mathematics, Physics,
Computer Science or related disciplines and who have research
experience in one or more of the following areas: numerical linear
algebra and matrix theory; (numerical methods for) dynamical systems;
numerical optimization and applications; matrix methods in systems
theory and data science; (mathematics of) machine learning and
compressed sensing; graph theory and network science.

Deadline for application: August 11, 2022

To apply and for more information, please see:
https://amministrazionetrasparente.sns.it/bando/numerical-stability-neural-dynamical-systems

For inquiries, please do not hesitate writing to: numerics@gssi.it


From: Simon Arridge S.Arridge@cs.ucl.ac.uk
Date: July 11, 2022
Subject: Postdoc Position, Tomography Image Reconstruction


Duties and Responsibilities: UCL's Department of Computer Science
conducts internationally leading research across a broad range of
theoretical and applied topics. This post will build on considerable
experience in developing novel approaches to ultrasound tomography and
photoacoustic tomography gained through a long term collaboration with
UCL's Photoacoustic Imaging and Biomedical Ultrasound Groups.

Duties of the research associate include developing and conducting
individual and collaborative research objectives, proposals and
projects as part of the overall work of the Ultrasound Computed
Tomography project. The research associate must be able to communicate
material of a technical nature and be able to build internal and
external contacts. They may be asked to assist in the supervision of
student projects, the development of student research skills, provide
instruction and plan/deliver seminars relating to the research area of
the project. Key Requirements Applicants must have (or be about to
receive) a PhD degree in mathematics or statistics (or a closely
related discipline). The ideal candidates will be experienced in one
or more of the following areas: inverse problems, mathematical
imaging, analytical and computational methods for solving partial
differential equations, optimisation. Experience in programming is
highly desirable (e.g. MATLAB / Python/C++).

Further Details:
https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=3DamNvZGU9MTg4NTY0MSZ2dF90ZW1wbGF0ZT05NjUmb3duZXI9NTA0MTE3OCZvd25lcnR5cGU9ZmFpciZicmFuZF9pZD0wJmpvYl9yZWZfY29kZT0xODg1NjQxJnBvc3RpbmdfY29kZT0yMjQ=3D

Informal enquiries to :
Simon Arridge : S.Arridge@ucl.ac.uk
Ben Cox : B.Cox@Ucl.ac.uk


From: Roger Georges Ghanem ghanem@usc.edu
Date: July 13, 2022
Subject: Postdoc Positions, Univ of Southern California


Three postdoc positions are available on a number of projects at the
University of Southern California. The projects involve applications
to 1) thermomechanical failure mechanisms of thin films, 2) complex
reactive flows, and 3) modeling of multiphase materials.

The successful applicants must have interest in all and expertise in
at least one of computational statistics, optimization and physics, in
connection with one of the above applications. Applicants should
email a current CV and the names of two references to: ghanem@usc.edu .

These positions are available immediately and until filled.


From: Guowei Wei weig@msu.edu
Date: July 08, 2022
Subject: Postdoc/Research Associate Positions, MSU


Multiple postdoc positions are available in the Wei lab for
- AI-based drug design and discovery
- Bioinformatics/protein engineering/single cell RNA seq.
- Machine learning/deep learning
- Computational topology/geometry/graph/algebra

The ideal candidates will have extensive experience in code
development, have demonstrated the potential for excellence in
research, and must hold a recent Ph.D. degree in either computational
biophysics, computational mathematics, computational chemistry, or
bioinformatics. Salary depends on experience. The positions enjoy
standard faculty health benefit.

Please send CV to weig@msu.edu.


From: Franziska Nestler franziska.nestler@math.tu-chemnitz.de
Date: July 11, 2022
Subject: PhD/Postdoc Position, Applied Functional Analysis, TU Chemnitz


The Faculty of Mathematics, Chair of Applied Functional Analysis, has
a vacancy for the BMBF-funded AI junior research group SALE (Focus:
Fast Algorithms for Explainable Recommendation Systems) for the
following position: Research Assistant (100%, salary group 13 TV-L),
limited until 30th September 2024.

Responsibilities: Research in the field of applied functional
analysis, high-dimensional approximation methods, Fourier-based
methods, fast algorithms, and machine learning. Further development
of fast algorithms for high-dimensional approximation and
implementation of application examples.

You use your research results for scientific publications and your own
qualification. If you are attracted by working in an
interdisciplinary, highly motivated team and by the academic
examination of a topic of high mathematical relevance, you should meet
the following requirements: Completed academic university degree in
mathematics, which gives access to the corresponding qualification
level, Prior knowledge in the areas of Matrix Methods for Data
Science, Applied Functional Analysis, Fourier Methods, and in the area
of Machine Learning, Programming experience in Julia or a comparable
modern programming language. Applications should be sent with the
usual documents to the address below by 15.08.2022 (electronically or
by post). Please note that, for security reasons, no electronic
applications or attachments to applications made available for
download via hyperlinks to third parties can be considered in the
recruitment process.

Contact:
Dr. Franziska Nestler
Chemnitz University of Technology
Department of Mathematics
09107 Chemnitz
e-mail: franziska.nestler@math.tu-chemnitz.de

Further Information:
Chair on Applied Functional Analyis:
https://www-user.tu-chemnitz.de/~potts/index_eng.php
Junior Research Group SALE:
https://www.tu-chemnitz.de/mathematik/sale/index.php.en


From: Laura Scarabosio scarabosio@science.ru.nl
Date: July 07, 2022
Subject: PhD Position, Radboud Univ/Alliander


At Radboud University (Nijmegen, the Netherlands), we are looking for
a Energy data expert/ PhD Candidate - Uncertainty quantification of
models for temperature of power cables.

In this dual position, the candidate will work at Alliander, one of
the Netherlands' largest energy network operators, on making their
energy systems smart and efficient, and perform the necessary academic
research to make this possible at the Radboud University with Prof.
Gabriel Lord and Dr. Laura Scarabosio. According to the skills and
interests of the candidate, the project will focus more either on the
forward or on the inverse problem.

The application procedure and more details on the project can be found at:

https://werkenbij.alliander.com/vacature/energy-data-expert-phd-candidate/JR06319/

or by contacting either Gabriel Lord (gabriel.lord@ru.nl) or Laura
Scarabosio (laura.scarabosio@ru.nl).


From: Idoia Hernandez recruitment@bcamath.org
Date: July 14, 2022
Subject: PhD Position, TRANSMATH Lab, BCAM


Basque Center for Applied Mathematics is offering a PhD position in
the framework of Trans-Border Coperation-Transmath. Trans-border
Cooperation (LTCs) are a formula for collaboration that have been
developed since 2015 in the frame of the Campus
Euskampus-Bordeaux. LTCs were created to provide an institutional
framework for research teams from the Basque country and from Bordeaux
working together. More concretely, the Transborder Mathematics
Laboratory, will focus on strengthening the research in Applied
Mathematics in the following areas:
- MATHDES: Mathematical Design, Modeling, and Simulations (MATHDES)
group works on the design, analysis, implementation, and
optimization of numerical schemes for mathematical models arising
from real-life applications
- APDE: Linear and Non-Linear Waves, Applied Analysis and Harmonic
Analysis

Deadline: 22 July 2022
Applications at: http://www.bcamath.org/en/research/job/ic2022-07-phd-position-in-the-framework-of-the-transmath-lab
Contract: 3 years

Requirements: Bachelor's and Master's degree in Physics, Enginering or
Applied Mathematics. Any candidate with a supervisor at BCAM and a
supervisor in Bordeaux could apply to this call.

Skills: Applicants must have an excellent academic record. Good
communication and interpersonal skills. Good command of spoken and
written English. Ability to clearly present and publish research
outcomes in spoken (talks) and written (papers) form. Strong
analytical and problem-solving skills. Demonstrated ability to work
independently and as part of a collaborative research team.


From: Arnold Reusken reusken@igpm.rwth-aachen.de
Date: July 07, 2022
Subject: PhD Position,Numerical Analysis,RWTH Aachen Univ


At the Chair for Numerical Mathematics of RWTH Aachen University we
offer a PhD position in the field of Numerical Analysis. In our group
we work on analysis, implementation and application of numerical
simulation methods for partial differential equations. Main research
topics are on numerical methods for two-phase incompressible flow
problems and for partial differential equations on surfaces. More
information on these topics can be found on
https://www.igpm.rwth-aachen.de/team/reusken

A research position for four years is available in our group. Research
will be on a topic in the field of numerical methods for partial
differential equations, e.g. discretization methods for two-phase
incompressible flow problems or for PDEs on surfaces, or numerical
methods for harmonic map heat flow problems. The candidate has to
participate in covering the teaching obligations at the Chair for
Numerical Mathematics. Applicants should have a master degree in
mathematics, computational engineering or a related field and have a
solid background in numerical methods for PDEs.

The position is to be filled as soon as possible. The successful
candidate has the opportunity to pursue a doctoral degree. The salary
corresponds to pay grade EG 13 TV-L of the German public service
salary scale (TV-L).

Applications will be accepted until the position is filled. To apply,
please send your application materials (motivation letter, CV,
statement of research interests, transcripts) to Prof. Dr. Arnold
Reusken (reusken@igpm.rwth-aachen.de). Informal inquiries are
welcome.


From: Tim Phillips PhillipsTN@cf.ac.uk
Date: July 11, 2022
Subject: PhD Positions, Mathematics, Cardiff Univ, UK


Cardiff School of Mathematics is offering up to five fully-funded PhD
studentships in any of its research areas. Candidates can apply via
https://www.cardiff.ac.uk/study/postgraduate/research/programmes/prog
ramme/mathematics until 22 July 2022.

Cardiff's School of Mathematics provides an excellent postgraduate
research environment including: our new purpose-built research
facilities at Abacws (co-designed by our PGR community), a vibrant
research culture including a wide range of research events, access to
national course centres in mathematics, statistics and OR,
comprehensive professional skills training offered by Cardiff's
Doctoral Academy. The PGR community is very active in running the
SIAM-IMA Student Chapter, a valuable forum for exchange of ideas and
public engagement. Each 3.5 year studentship includes fees, stipend at
the UKRI rate and a Research Training Support Grant to cover costs
such as research consumables, training, conferences and travel. The
studentships are available for UK home students.

ACADEMIC CRITERIA: A 1st or upper 2nd class UK Honours degree (or
equivalent) and/or a Master's degree in mathematics or a suitable
related subject is required. Applicants for whom English is not their
first language must demonstrate their proficiency by obtaining an
IELTS score of at least 6.5 overall, with a minimum of 5.5 in each
skills component.

Cardiff University is committed to supporting and promoting equality
and diversity and to creating an inclusive research environment. We
particularly welcome applications from underrepresented groups.

SUPPORTING DOCUMENTS: Curriculum vitae, A personal statement, Two
completed references, Degree certificates and transcripts, Proof of
English language (if applicable).

An indicative list of research areas at Cardiff School of Mathematics
can be found here:
https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/mathematics

Please direct area and project-specific enquiries to the respective
member of academic staff:
https://www.cardiff.ac.uk/mathematics/people/academic-and-research-staff

Shortlisted candidates will be invited to attend an interview in
August.


From: Irena Lasiecka lasiecka@memphis.edu
Date: July 06, 2022
Subject: Contents, Evolution Equations and Control Theory, 11 (4)


Contents of Evolution Equations and Control Theory, vol 11, Nr $ [June
2022], https://www.aimsciences.org//journal/A0000-0000

1.On a second-order functional evolution problem with time and state
dependent maximal monotone operators, Soumia Saidi

2. Approximate controllability of fractional neutral evolution systems
of hyperbolic type, Xuan-Xuan Xi, Mimi Hou, Xian-Feng Zhou and Yanhua
Wen

3. Exact boundary null controllability for a coupled system of plate
equations with variable coefficients, Fengyan Yang

4. Stabilization of higher order Schrodinger equations on a finite
interval: Part II, Turker Ozsari and Kemal Cem Y1lmaz

5. Existence and general decay of Balakrishnan-Taylor viscoelastic
equation with nonlinear frictional damping and logarithmic source
term, Mohammad Al-Gharabli, Mohamed Balegh, Baowei Feng, Zayd Hajjej
and Salim A. Messaoudi

6.Global classical and weak solutions of the prion proliferation model
in the presence of chaperone in a Banach space, Kapil Kumar Choudhary,
Rajiv Kumar and Rajesh Kumar

7. New criteria for exponential stability in mean square of stochastic
functional differential equations with infinite delay, Pham Huu Anh
Ngoc

8. Optimal time-decay rate of global classical solutions to the
generalized compressible Oldroyd-B model, Shuai Liu and Yuzhu Wang

9. Well-posed control problems related to second-order differential
inclusions, Doria Affane and Mustapha Fateh Yarou

10. Local null controllability of a class of non-Newtonian
incompressible viscous fluids, Pitagoras Pinheiro de Carvalho, Juan
Limaco, Denilson Menezes and Yuri Thamsten

11. Stackelberg-Nash null controllability of heat equation with
general dynamic boundary conditions, Idriss Boutaayamou, Lahcen Maniar
and Omar Oukdach

12. On periodic solutions to a class of delay differential variational
inequalities, Nguyen Thi Van Anh

13. Telegraph systems on networks and port-Hamiltonians. I. Boundary
conditions and well-posedness, Jacek Banasiak and Adam BBoch

14. Solution stability to parametric distributed optimal control
problems with finite unilateral constraints, Nguyen Hai Son

15. The method of extremal shift in control problems for evolution
variational inequalities under disturbances, Vyacheslav Maksimov

16. Sufficient conditions for the continuity of inertial manifolds for
singularly perturbed problems, Ahmed Bonfoh

17. Linear subdiffusion in weighted fractional Holder spaces, Mykola
Krasnoschok and Nataliya Vasylyeva

2021 Impact Factor: 1.169
5 Year Impact Factor: 1.294

End of Digest
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