NA Digest, V. 22, # 27

NA Digest Monday, August 29, 2022 Volume 22 : Issue 27


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: Danny Dunlavy dmdunla@sandia.gov
Date: August 29, 2022
Subject: NA Digest Submissions Problems Fixed


The web submission form was offline for some time due to recent
changes in the server that hosts the NA Digest. We apologize for any
inconvenience this may have caused. It is now working again, so please
submit your announcements if you had attempted to do so earlier and
received errors.

Best regards,
Danny Dunlavy

NA Digest Editor



From: Mitch Graham mgraham@siam.org
Date: August 05, 2022
Subject: New Book, A Toolbox for Digital Twins


A Toolbox for Digital Twins: From Model-Based to Data-Driven
by Mark Asch

This book brings together the mathematical and numerical frameworks
needed for developing digital twins. Starting from the basics --
probability, statistics, numerical methods, optimization, and machine
learning -- and moving on to data assimilation, inverse problems, and
Bayesian uncertainty quantification, the book provides a comprehensive
toolbox for digital twins. Emphasis is also placed on the design
process, denoted as the "inference cycle," the aim of which is to
propose a global methodology for complex problems.

July 2022 / xxiv + 832 pages / Softcover / 978-1-611976-96-0 / Price
$120.00

Bookstore Link:
https://my.siam.org/Store/Product/viewproduct/?ProductId=3D41813926


From: Kris ONeill oneill@siam.org
Date: August 05, 2022
Subject: Career Fair, SIAM MDS22, USA, Sep 2022


The Society for Industrial and Applied Mathematics (SIAM) is hosting a
career fair on September 29, 2022 in conjunction with the SIAM
Conference on the Mathematics of Data Science (MDS22) in San Diego,
CA. We're expecting to draw hundreds of graduate students and early
career professionals looking for their next career opportunity. This
is an/ideal place to recruit employees with mathematical,
computational, and data science education and training, and it is also
an excellent opportunity to present your company's mission and vision
to a broad audience. We have a limited number of booths available, so
employers if you're interested in participating please register as
soon as possible.

Job seekers and employers can sign up for the event at this link:
https://www.siam.org/careers/resources/siam-career-fairs

Please contact marketing@siam.org with any exhibit, sponsor, or career
fair questions.


From: Tzanio Kolev tzanio@llnl.gov
Date: August 22, 2022
Subject: MFEM Finite Element Community Workshop, ONLINE, Oct 2022


We are pleased to announce the second MFEM Community Workshop which
will take place on October 25, 2022, as a one-day virtual meeting.

The workshop's goals are to foster collaboration among all users and
developers of the MFEM Modular Finite Element Methods library
(https://mfem.org), share the latest MFEM features with the broader
community, deepen application engagements, and solicit feedback to
guide future development directions for the project.

We would like to invite all who are interested in MFEM, as well as
anyone in the broader finite element community, to join this workshop.
If you are interested, please register by October 11th at
https://forms.gle/voPNCQWwXDHZ96uQ6

There is no registration fee. Videoconferencing details will be
distributed to participants prior to the event date.

We will also be hosting a simulation and visualization competition for
registered participants.

For more information, please see the workshop webpage at
https://mfem.org/workshop



From: Liljegren-Sailer, Bj=F6rn bjoern.sailer@uni-trier.de
Date: August 18, 2022
Subject: Model Reduction and Model Predictive Control, Germany, Oct 2022


The DFG Research Training group 2126 "Algorithmic Optimization" is
proud to announce its 7th annual Autumn School on the topic of Model
Reduction and Model Predictive Control with Differential Equations,
scheduled to take place in Trier from October 4 - 7, 2022.

Confirmed Speakers are:
Prof. Dr. Tobias Breiten (TU Berlin)
Prof. Dr. Tobias Damm (TU Kaiserslautern)
Prof. Dr. Jan Heiland (Max Planck Institut Magdeburg)
Dr. Benjamin Unger (Universit t Stuttgart)

We are able to offer stipends to assist with travel expenses for
qualified participants. Please refer to the ALOP website [1] for more
information, the registration, and the application for a travel
stipend. Applications must be submitted no later than September 12,
2022 and are processed as fast as possible.

You are welcome to share this announcement and to display the poster
[2] at your institution.

[1] https://alop.uni-trier.de/event/autumn-school-on-model-reduction-and-
model-predictive-control-with-differential-equations/

[2] https://seafile.rlp.net/f/94d242f944ab42cdace6/


From: Youssef Belhamadia ybelhamadia@aus.edu
Date: August 25, 2022
Subject: Modeling, Simulation and Applied Optim, Morocco, Apr 2023


We are pleased to announce that the 9th International Conference on
Modeling, Simulation and Applied Optimization will be held in
Marrakesh, Morocco on April 26th-28th 2023, www.icmsao.org

ICMSAO provides a venue for engineers, mathematicians, and scientists
from all over the world to share their latest research results in the
fields of modelling, simulation and optimization. We would like to
invite you to submit your original and unpublished research work to
the ICMSAO'23. Accepted and presented papers will be published in the
AIP Conference Proceedings indexed in leading databases including
Scopus and Web of Science. The deadline to submit your paper(s) is
October 3rd 2022.


From: Eun-Jae Park ejpark@yonsei.ac.kr
Date: August 27, 2022
Subject: Spectral and High Order Methods, Korea, Aug 2023


We are pleased to announce that the International Conference on
Spectral and High Order Methods (ICOSAHOM 2023) will be held at Yonsei
University, Seoul, Korea during August 14-18, 2023.

ICOSAHOM 2023 is the fourteenth edition of a series that began in 1989
and the purpose of the ICOSAHOM conference series is to bring together
researchers and practitioners with an interest in the theoretical,
computational and applied aspects of high-order and spectral methods
in various problems arising in science and engineering.

More information on the conference can be found at the website:
https://www.icosahom2023.org

At the moment, the conference is intended to be an in-person off-line
meeting; however, in the case of unexpected pandemic situations, the
conference could be turned to a hybrid meeting.


From: Yingda Cheng ycheng@math.msu.edu
Date: August 16, 2022
Subject: Chairperson Position, CMSE, Michigan State Univ


Michigan State University invites applications and nominations for an
educator and scholar with the vision to serve as Chairperson of the
Department of Computational Mathematics, Science and Engineering
(CMSE). The CMSE department (https://cmse.msu.edu/)is entering its
eighth year as one of the first academic units in the nation to focus
on computational science and data science as a discipline. Currently
housing over 57 full-time and associated faculty members, the
department seeks to educate the data-driven work force of the future
and build collaborative interdisciplinary teams with expertise,
amongst other, in machine learning, artificial intelligence,
statistical learning, algorithm development, data analytics,
mathematical theory, and application domains.

Chair candidates should be committed to the advancement of
undergraduate and graduate education, have a distinguished record of
research and professional accomplishment, have strong leadership and
management abilities, and be dedicated to promoting diversity and
inclusion among students, staff and faculty. Continuation of an active
research program is expected and will be supported. The successful
candidate must be eligible for an appointment at the rank of tenured
full Professor in the discipline of computational science or data
science.

The job ad and more information can also be found at
https://cmse.msu.edu/employment-opportunities/cmse-chairperson1/


From: Jan Holland jan.holland@springer.com
Date: August 25, 2022
Subject: Associate Publisher Positions, Springer


Springer currently has two vacancies for Associate Publisher within
the Mathematics journals team. One is a 12 month fixed contract and
the other is a permanent role.

The Associate Publisher will be the primary publishing contact
responsible for the growth, development, and editorial management of a
dynamic portfolio of Mathematics journals. This includes setting and
implementing journal plans, supporting key stakeholders (Editors,
authors, reviewers, and societies) as well as identifying and pursuing
new relevant areas for growth.

The positions are open in our New York, Philadelphia, London and
Heidelberg offices.

For more information or in order to apply, please use the following
links:

https://careers.springernature.com/job-invite/45165/

https://careers.springernature.com/job/New-York-Associate-Publisher/841871501/



From: Marlis Hochbruck marlis.hochbruck@kit.edu
Date: August 18, 2022
Subject: Tenure Track Position, Numerical methods for PDEs, KIT


Karlsruhe Institute of Technology invites applications for a
tenure-track professorship (W1) for numerical methods for partial
differential equations. Possible research areas are space
discretization, time discretization, inverse problems, optimization or
uncertainty quantification. A relation to wave phenomena is
mandatory. Participation in the research focus "Partial Differential
Equations" and the Collaborative Research Center 1173 "Wave Phenomena"
at the Department of Mathematics is expected.

Employment will initially be for a period of six years. If the final
tenure evaluation is positive, the successful candidate will be
promoted to the rank of tenured full professor (W3).

Deadline for applications is September 7, 2022. More information about
the position and how to apply can be found here:
https://www.pse.kit.edu/english/karriere/joboffer.php?id=3D81225&new=3Dtrue


From: Basque Center for Applied Mathematics - BCAM recruitment@bcamath.org
Date: August 25, 2022
Subject: Postdoc Position, Atomistic Simulation of Steels in Hydrogen


This work is framed within the Basque government funded Elkartek
project M-KONTAK, in which several agents of the Basque Science,
Technology and Innovation Network (including BCAM) are involved. The
purpose of M-KONTAK is the development of a multi-scale modelling
methodology to fundamentally understand the behavior of steels in
hydrogen-rich environments. In BCAM, we will be focusing on the
atomistic modelling of Hydrogen-induced embrittlement (HE), which can
significantly reduce the ductility and load-bearing capacity and cause
cracking and catastrophic brittle failures at stresses below the yield
stress.

The postdoctoral fellow will combine density functional theory with
kinetic Monte Carlo and/or Molecular Dynamics to simulate hydrogen
diffusion at steel grain boundaries, with the aim of extracting
kinetic and thermodynamic parameters that can be employed by our
partners in continuous phase field models to understand the influence
of morphology, temperature, and composition on HE at a microscopic
scale.

Deadline: 30 September 2022

Applications at:
http://www.bcamath.org/en/research/job/ic2022-08-postdoctoral-fellowship-in-atomistic-simulation-of-steels-in-hydrogen-a-rich-environments

Requirements: M.Sc. or B.Sc. degree in Mathematics, Statistics,
Computer Science and related disciplines.

Skills and track record: Good interpersonal skills. Demonstrated
ability to work independently and as part of a collaborative research
team. Ability to effectively communicate and present research ideas
to researchers and stakeholders with different backgrounds. Fluency
in spoken and written English.

The preferred candidate will have: Solid programming skills in
Julia. Candidates without specific knowledge of Julia but excellent
skills in structurally similar languages such as Python, MATLAB, C++
or Ruby may be considered. Background in optimization
methods. Specific knowledge in metaheuristic techniques such as
simulated annealing of harmonic search is highly desirable.
Experience with molecular dynamics codes (GROMACS, LAMMPS, etc.) is
desirable.


From: Timo Heister heister@clemson.edu
Date: August 17, 2022
Subject: Postdoc Position, Clemson Univ


The Clemson School of Mathematical and Statistical Sciences is seeking
to hire a postdoc with start date January 1, 2023. We especially
encourage applicants in computational mathematics, numerical analysis,
and scientific computing.

For more information please see
https://www.mathjobs.org/jobs/list/20410


From: Daniel Ruprecht ruprecht@tuhh.de
Date: August 23, 2022
Subject: Postdoc Position, Computational Maths, Germany


We invite qualified candidates to apply for a 2-year postdoc position
at Hamburg University of Technology in Hamburg, Germany. The
successful candidate will develop efficient numerical algorithms for
ocean models on extreme-scale parallel computers by integrating
techniques from machine learning into "classical" numerical methods.

The deadline for applications is 19 September 2022.

Please use our online portal to apply:
https://stellenportal.tuhh.de/jobposting/8a1052feeaf444073beed093b0739f
3ac6a2db25


From: David Hyde dabh@alumni.stanford.edu
Date: August 16, 2022
Subject: Postdoc Position, Computational Mechanics, Vanderbilt Univ


Applications are invited for a postdoctoral position under the joint
supervision of Prof. Ravindra Duddu (Civil and Environmental
Engineering) and Prof. David Hyde (Computer Science). The candidate
will conduct research in the broad area of computational solid/fluid
mechanics and is expected to contribute to projects funded by NSF,
NASA and the Royal Society of London. The specific topic is related to
modeling ice shelf fracture using material point method and phase
field damage models. The postdoc with collaborate with researchers at
Princeton University and Durham University (UK).

Basic qualifications: The candidate must have completed a Ph.D. in
Civil or Mechanical or Aerospace Engineering, Computational and
Applied Mathematics, Physics or a related field. The candidate is
expected to have a good record of publications and possess excellent
verbal and written communication skills. The candidate will be working
in a multi-disciplinary research environment and work in close
collaboration with material scientists, biomedical engineers and
clinicians.

Desired qualifications: The ideal candidate would have a strong
background in numerical analysis and scientific computing, and have
prior experience with the material point method or finite element
method and fracture simulation using phase field models. Experience
with finite element software such as FEniCS, programming in C++ and
knowledge of parallel computing strategies is desirable.

To apply, email Prof. David Hyde (david.hyde.1@vanderbilt.edu) and
Prof. Ravindra Duddu (ravindra.duddu@vanderbilt.edu) with your CV,
cover letter and the full contact details of three professional
references. Vanderbilt University is an equal opportunity, affirmative
action employer. Women, minorities and people with disabilities are
encouraged to apply.


From: Sebastian Reich sereich@uni-potsdam.de
Date: August 22, 2022
Subject: Postdoc Position, Data Assimilation and ML, Univ of Potsdam


Data Assimilation and Machine Learning Postdoctoral Research Position
at the University of Potsdam.

The position is funded by the DFG as part of the Collaborative
Research Centre SFB 1114 Scaling Cascades and will be hosted at the
Department of Mathematics, University of Potsdam. This is a fixed term
position: November 01, 2022 till June 30, 2026. Starting and end dates
are negotiable within these boundaries.

Description: The successful candidate will join research project A02
(PIs: Rupert Klein, Sebastian Reich, Claudia Schillings) within the
collaborative research centre SFB 1114
(http://www.mi.fu-berlin.de/en/sfb1114). The overarching aim of the
project is to advance the mathematical foundation and algorithmic
implementation of data assimilation and machine learning techniques
for calibration of numerical weather prediction models from
multi-scale data. The project combines foundational research with
applications to meteorology and atmospheric blocking events in
particular. A strong background in stochastic analysis, statistics
and numerical modelling is essential.

Applications including CV, list of publications, letter of motivation,
link to an electronic copy of your PhD thesis, and contact details of
two referees should be sent as a single PDF document to
sebastian.reich@uni-potsdam.de

Deadline: Applications will be reviewed on September 19, 2022, and
will continue to be considered until the position is filled.


From: Idoia Hernandez recruitment@bcamath.org
Date: August 17, 2022
Subject: Postdoc Position, Federated Learning, BCAM


Basque Center for Applied Mathematics is offering a Psotdoctoral
position un federated learning in probabilistic classifiers to work
with Artiz Perez in Machine Learning research line.

Traditional machine learning approaches need to combine all data at
one location. Federated machine learning addresses the problems of
distributed data and privacy with novel solutions combining
distributed machine learning and security. The main goal of this
position consists of developing federated learning algorithms of
probabilistic classifiers. The algorithms will be analyzed
theoretically and through an extensive experimentation.

The position of research technician is part of the Elkartek project
EGIA (KK-2022/00119), that addresses the problem of edge and
distributed computing.

Deadline: 12 September 2022
Applications at:
http://www.bcamath.org/en/research/job/ic2022-08-postdoctoral-fellowship-in-federated-learning-elkartek-kk-2022-00119

Requirements: Promising young researchers. PhD degree in Physics,
Applied Mathematics, Chemical/Mechanical/Biomedical Engineering.
Python programming. Strong background on Machine Learning.

Skills: Good communication and interpersonal skills. Ability to
effectively communicate and present research ideas to researchers with
different background (e.g., mathematicians and engineers). Ability to
clearly present and publish research outcomes in spoken (talks) and
written (papers) form. Good command of spoken and written English.

The preferred candidate will have: Strong background in Machine
Learning. Experience in programming with Python. Experience in
parallel programming for HPC is desirable.


From: Shuwang Li sli15@iit.edu
Date: August 24, 2022
Subject: Postdoc Position, Illinois Institute of Technology


The Department of Applied Mathematics at Illinois Institute of
Technology invites applications for a postdoctoral fellowship in
computational mathematics. The appointment is for one year with the
possibility of renewal for an additional year. Priority is given to
applicants with research expertise and interest in computational
mechanics, numerical PDE, and applications in materials, biology and
data science. This position will require research and some teaching.
Applications will be considered now until the position is filled. To
apply, send a cover letter, curriculum vitae, brief research plan, and
the names of three references to Shuwang Li, sli15@iit.edu. Illinois
Institute of Technology is an EEO/AA/Title VI/Title IX/Section
504/ADA/ADEA employer committed to enhancing equity, inclusion and
diversity within its community.


From: Michael Parks mlparks@sandia.gov
Date: August 16, 2022
Subject: Postdoc Position, John von Neumann Fellowship, Sandia NL


Sandia National Laboratories invites outstanding candidates to apply
for the 2023 John von Neumann Postdoctoral Research Fellowship in
Computational Science. This prestigious fellowship is partially
supported by the Applied Mathematics Research Program in the
U.S. Department of Energy's Office of Advanced Scientific Computing
Research. The fellowship provides an exceptional opportunity for
innovative research in computational mathematics and scientific
computing on advanced computing architectures with application to a
broad range of science and engineering problems of national
importance. Applicants must have or will receive a Ph.D. in
applied/computational mathematics or a related area, such as computer
science, engineering, or statistics, conferred after January 1, 2019
and no later than August 2023. This appointment is for one year, with
a possible renewal for a second year, and includes a highly
competitive salary, moving expenses and a generous professional travel
allowance.

Complete applications received by November 22, 2022 will receive full
consideration.

For more information, including application instructions, please see
our web page at
https://www.sandia.gov/careers/career-possibilities/students-and-postdocs/fellowships/john-von-neumann-fellowship/

Equal Opportunity Employer. M/F/D/V.


From: Andreas Stathopoulos andreas@cs.wm.edu
Date: August 17, 2022
Subject: Postdoc Position, Lattice QCD, William & Mary


Postdoctoral Research Associate on computational aspects of Lattice
QCD, Computer Science Department

The Department of Computer Science (CS) at William & Mary, a public
university of the Commonwealth of Virginia, invites applications for a
one-year, postdoctoral research associate position that will begin
after November 1, 2022. The position is funded by the Department of
Energy and will be co-directed by Prof. Andreas Stathopoulos in CS and
Prof. Kostas Orginos in Physics. We seek an individual with expertise
in computational aspects of Lattice QCD. The successful applicant
will be expected to lead a research program that involves advanced
computational methods for the solution of various linear operators,
the improvement of current multigrid technologies, the variance
reduction in computations of disconnected diagrams, as well as their
implementations on high performance computing resources.

Required Qualifications: Ph.D. in a scientific computing area, with
strong programming skills in C/C++. Strong background in one of the
three areas: Lattice QCD, numerical linear algebra, or
high-performance computing.

Preferred Qualifications: Strong background across more of the above
areas and experience with QUDA or CUDA programming.

Applicants must apply online at https://jobs.wm.edu/postings/49814.
Submit a curriculum vitae, a cover letter, and a statement describing
previous professional experience or future plans (or both) that also
demonstrate(s) a commitment to diversity and inclusion. You will be
prompted to submit online the names and email addresses of three
references who will be contacted by the system with instructions for
how to submit a letter of reference. For full consideration, submit
application materials by Sept 16, 2022. Applications received after
that review date will be considered if needed.

William & Mary values diversity and invites applications from
underrepresented groups who will enrich the research, teaching and
service missions of the university. The university is an Equal
Opportunity/Affirmative Action employer and encourages applications
from women, minorities, protected veterans, and individuals with
disabilities. William & Mary conducts background checks on applicants
being considered for employment.


From: Idoia Hernandez recruitment@bcamath.org
Date: August 16, 2022
Subject: Postdoc Position, ML for Energy Forecasting, BCAM


Basque Center for Applied Mathematics is offering a Postdoctoral
position to work in Machine Learning for energy forecasting in the
framework of "CHARGER+- Nueva Generacion de Puntos de Recarga de
Vehiculo Electrico con Funcionalidades Autonomas y Colaborativas e
Impacto Cero". The researcher will join Machine Learning research line
to work with Dr Santiago Mazuelas.

Deadline: 31 August 2022
Applications at:
http://www.bcamath.org/en/research/job/ic2022-08-postdoctoral-fellowship-machine-learning-for-energy-forecasting

Requirements: Applicants must have their PhD Degree preferable in
Mathematics, Computer Science, Physics or related fields.

Skills: Good interpersonal skills. Demonstrated ability to work
independently and as part of a collaborative research team. Ability
to present and publish research outcomes in spoken (talks) and written
(papers) form. Ability to effectively communicate and present
research ideas to researchers and stakeholders with different
backgrounds. Flexibility to work on different topics and participate
in multiple activities carried out by the research team.

The preferred candidate will have: Demonstrated knowledge in machine
learning techniques and mathematics. Good programming skills in
Mathab or Python.


From: Eric Lawrence Miller eric.miller@tufts.edu
Date: August 23, 2022
Subject: Postdoc Position, Machine Learning, Tufts University, USA


Tufts University has openings for a post-doctoral researcher to engage
in a cross-cutting project focusing on the development of machine
learning models and algorithms to advance precision medicine in the
area of anti- microbial resistance (AMR); i.e., the increasing ability
of bacteria, fungi, and other micro-organisms to develop resistance to
a range of antibiotics and other drugs. Current work is focused on
the development of combination therapies adapted to the specifics of
the case-in-hand. Such efforts lead naturally to a pair of related
learning problems: prediction of clinical outcomes from a given course
of treatment and determination of an optimal treatment strategy (which
drugs in which amounts as a function of time) to achieve a desired
clinical outcome both of which are hampered by the availability of
relatively small sets of data. The project will involve collaboration
with investigators with expertise in machine learning and signal
processing, basic cell biology and biological engineering, as well as
clinical immunology and infectious disease.

Applicants must have a PhD in electrical engineering, computer
science, applied mathematics, statistics, or a similar field. The
ideal candidates will have experience with and a publication record in
one or more of the following areas: modern methods of statistical
signal processing, machine learning, optimization, or data science.
Programming experience in Matlab or python is preferred.

For more information about this position, please email Prof. Eric
Miller (eric.miller@tufts.edu) and Prof. Bree Aldridge
(bree.aldridge@tufts.edu). Interested candidates should provide
Prof. Miller with a copy of their CV, list of references, cover
letter, and copies of relevant articles, theses, technical reports
etc.


From: Bruno Carpentieri bruno.carpentieri@unibz.it
Date: August 22, 2022
Subject: Postdoc Position, Matrix Solvers for Fusion Energy, Univ of Bolzano


There are two postdoctoral positions in numerical analysis and
scientific computing immediately available at the Faculty of Computer
Science, Free University of Bozen-Bolzano, to develop matrix solvers
for thermonuclear energy research applications. More details on the
position and the application procedure can be found at the link:

https://www.unibz.it/en/home/position-calls/positions-for-academic-staff/5914-numerical-analysis-prof-carpentieri?group=3D18

Interested applicants can contact Bruno Carpentieri by email
(bruno.carpentieri@unibz.it) for further inquiry. Closing date for job
application is the 23rd of September 2022 at 12:00 PM (noon).


From: Francesco Tudisco francesco.tudisco@gssi.it
Date: August 20, 2022
Subject: Postdoc Position, NA and ML, 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: September 12, 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 to write to: numerics@gssi.it


From: Buyang Li buyang.li@polyu.edu.hk
Date: August 26, 2022
Subject: Postdoc Position, NA or Scientific Comp, Honk Kong Polytechnic Univ


The Department of Applied Mathematics, The Hong Kong Polytechnic
University, invites applications from excellent graduating PhD
students and early-career postdoctoral scholars for a two-year
Postdoctoral Fellow position in numerical analysis or scientific
computing; see the following webpage:
https://www.polyu.edu.hk/ama/profile/byli/position.htm

The department provides an excellent environment for the collaboration
among the postdoctoral fellows and the assistant/associate/full
professors. Candidates with strong background in PDE analysis or
numerical analysis are welcome to apply. Candidates without strong
background in analysis, but with strong coding skills, are also
welcome to apply.

The selection of the candidates will be based on the research
publication of the candidates. Interested candidates may send a CV
(with a full list of publications) to the email address:
buyang.li@polyu.edu.hk


From: Emil Constantinescu emconsta@mcs.anl.gov
Date: August 22, 2022
Subject: Postdoc Position, Scientific Computing, Argonne National Lab


The Laboratory for Applied Mathematics, Numerical Software, and
Statistics (LANS) in the Mathematics and Computer Science (MCS)
Division at Argonne National Laboratory invites outstanding candidates
to apply for postdoctoral positions in the area of scientific
computing with an emphasis on robust and efficient algebraic solvers,
time integrators, numerical optimizers, or related technologies in the
PETSc/TAO library. Applications and a detailed description, including
qualifications for different research tracks, are found at
https://tinyurl.com/p55rzds3 .


From: Esmond G. Ng EGNg@lbl.gov
Date: August 17, 2022
Subject: Postdoc Positions, Alvarez and Hopper Fellowships, Berkeley Lab


Berkeley Lab is now accepting applications for the 2023 Luis
W. Alvarez Postdoctoral Fellowship and the 2023 Admiral Grace Hopper
Postdoctoral Fellowship in the Computing Sciences Area.

Apply now for these two prestigious fellowships! Researchers in
computer science, mathematics, or any computational science discipline
who have received their Ph.D. within the last three years are
encouraged to apply. The successful applicants will receive a
competitive salary, professional travel allowance, relocation
assistance, excellent benefits, and an opportunity to work in the San
Francisco Bay Area. Since its founding in 2002, the Luis W. Alvarez
Fellowship has cultivated exceptional young scientists who have gone
on to make outstanding contributions to computational and computing
sciences. The Admiral Grace Hopper Fellowship was established in 2015.

Additional information on the Luis W. Alvarez Postdoctoral Fellowship
and the Admiral Grace Hopper Postdoctoral Fellowship can be found at
https://cs.lbl.gov/careers/computing-fellowships/.

Berkeley Lab's Computing Sciences Area advances research in our core
capabilities of computer science, mathematics, and computational
science. In addition, we research, develop, and deploy new tools and
technologies to impact scientific disciplines. Research areas in
Computing Sciences include but are not limited to: developing
scientific applications and software technologies for extreme-scale
and energy-efficient computing; developing mathematical modeling for
complex scientific problems; designing algorithms to improve the
performance of scientific applications; researching digital and
post-digital computer architectures for science; advancing
extreme-scale scientific data management, analysis, and
machine-learning; developing next-generation machine learning and AI
approaches for science; advancing quantum computing technologies,
software, algorithms and applications; evaluating or developing new
and promising HPC systems and networking technologies researching
methods to control and manage dynamic circuit networks; developing
large-scale visualization and analytics technologies; and managing
scientific data in distributed environments.

Application Process: For consideration applications are due October
24, 2022. Letters of Reference are due October 31, 2022. Details of
the application process can be found by search for job 96569 at
https://jobs.lbl.gov/.


From: David Ham david.ham@imperial.ac.uk
Date: August 16, 2022
Subject: Postdoc Positions, Computational Maths, Imperial College London


The Firedrake team at Imperial is looking for two new research
associates to conduct computational mathematics research through
contributions to Firedrake and related projects such as FEniCS and
PETSc.

Firedrake is an automated system for numerically solving PDEs using
the finite element method. Scientists and engineers around the world
employ Firedrake to create simulations in diverse areas such as
oceanography, geodynamics, quantum mechanics, and materials
science. This is an opportunity to join the core Firedrake development
team at Imperial and conduct computational mathematics research with
direct routes to impact. The outputs of your research will be both
papers in peer-reviewed journals, and high quality code contributed to
Firedrake and related projects. This is an opportunity to build a
reputation as a leading computational scientist whose work is used by
a large community.

For for more information, see the advertisement at:
https://www.imperial.ac.uk/jobs/description/NAT01233/research-associate-
computational-mathematics


From: Roel Van Beeumen rvanbeeumen@lbl.gov
Date: August 26, 2022
Subject: Postdoc Positions, Quantum Algorithms, Berkeley Lab


We're looking for 2 Quantum Algorithms Postdocs at Lawrence Berkeley
National Laboratory to work on the exciting intersection between
Applied Mathematics and Quantum Computing. In this role, you will
participate in research activities related to the development of
mathematical tools for quantum subspace algorithms that are relevant
to DOE and LBNL missions.

What You Will Do: Develop efficient and stable linear algebra
algorithms for quantum subspace methods. Develop and optimize
numerical linear algebra techniques for accelerating quantum computing
on near-term quantum hardware. Develop high-performance software
tools that can be integrated with quantum simulators and quantum
hardware. Work in a multidisciplinary team environment including
mathematicians, computer scientists, and domain scientists. Publish
results in peer-reviewed journals and conferences.

What is Required: Ph.D. degree in Mathematics, Computer Science,
Physics, or a relevant field. Strong background in numerical linear
algebra and multi-linear (tensor) algebra. Knowledge of matrix
decompositions, iterative methods, approximation theory, and
optimization. Demonstrated experience to program proficiently in a
high-level programming language, such as C++/C/FORTRAN. Excellent
verbal and written communication skills.

For more info see:
https://jobs.lbl.gov/jobs/quantum-algorithms-postdoctoral-fellow-5138
https://jobs.lbl.gov/jobs/quantum-algorithms-postdoctoral-fellow-5139


From: Guanglian Li lotusli0707@gmail.com
Date: August 17, 2022
Subject: Postdoc position, Numerical Analysis and Simulation, HKU


We are seeking one postdoc researcher in the field of numerical
analysis and simulation, especially multiscale analysis and
simulation, and high- dimensional approximation.

For more information, please follow the link:
https://sites.google.com/site/lotusli0707/open-positions-new?authuser=3D0

Feel free to contract Dr. Li (lotusli0707@gmail.com) if you have any
questions.


From: Basque Center for Applied Mathematics - BCAM recruitment@bcamath.org
Date: August 25, 2022
Subject: Research Technician Position, Atomistic Simulation, BCAM


This work will be focusing on the atomistic modelling of
electrode/electrolyte interfaces in lithium-ion batteries, employing
reactive force fields. The researcher will set up and run simulations
in LAMMPS, generate scripts for the post-processing of simulation
trajectories and analyse and document his/her results.

Deadline: 30 September 2022
Applications at:
http://www.bcamath.org/en/research/job/ic2022-08-research-technician-for-the-atomistic-simulation-of-interfaces-in-battery-materials

Requirements: M.Sc. or B.Sc. degree in Chemistry, Physics,
Mathematics, Engineering, and related disciplines.

Skills and track record: Good interpersonal skills. Demonstrated
ability to work independently and as part of a collaborative research
team. Ability to effectively communicate and present research ideas
to researchers and stakeholders with different backgrounds. Fluency
in spoken and written English.

The preferred candidate will have: Experience with the LAMMPS
atomistic simulation package (knowledge of GROMACS is a plus). Solid
programming skills in either Python, C++ or Fortran. Experience with
Linux, bash scripts. Background knowledge on the simulation of
interfaces and/or battery materials is desirable.


From: BCAM Communication communication@bcamath.org
Date: August 24, 2022
Subject: Research Technician Position, ML and Applications, IA4TES, BCAM


Research Technician in machine learning and applications - IA4TES

Basque Center for Applied Mathematics is offering a Research
Technician to work in Machine Learning and applications. The
researcher will join the Machine Learning research line to work with
Dr. Santiago Mazuelas.

This contract will be funded by "IA4TES - Inteligencia Artifical para
la Transicion Energetica Sostenible" project.

Deadline: 10 September 2022
Applications at:
http://www.bcamath.org/en/research/job/ic2022-08-research-technician-in-machine-learning-and-applications-a-ia4tes

Requirements: Promising young researchers. Applicants must have their
Bachelor's or Master's degree preferable in Mathematics, Computer
Science, or related fields.

Skills and track record: Good interpersonal skills. Demonstrated
ability to work independently and as part of a collaborative research
team. Ability to present and publish research outcomes in spoken
(talks) and written (papers) form. Ability to effectively communicate
and present research ideas to researchers and stakeholders with
different backgrounds.

The preferred candidate will have: Strong technical academic training
in mathematics or computer science. Good programming skills in Matlab
and/or Python.


From: Basque Center for Applied Mathematics - BCAM recruitment@bcamath.org
Date: August 25, 2022
Subject: Research Technician Position, Metaheuristic Optimization, BCAM


We have recently developed a novel metaheuristic methodology for
optimizing the distribution of atoms and vacancies in solid-state
materials. Our approach is currently programmed in the package Julia
and has been tested in the solid-state electrolyte LLZO.

The researcher will rewrite/reformat the code, as well as write a
manual to share it with the wider community. He/she will also
investigate the optimal set of parameters to maximize the algorithm's
performance, and work on the implementation of additional features.

Deadline: 30 September 2022
Applications at:
http://www.bcamath.org/en/research/job/ic2022-08-research-technician-on-metaheuristic-optimization-of-solid-state-materials

Requirements: M.Sc. or B.Sc. degree in Mathematics, Statistics,
Computer Science and related disciplines.

Skills and track record: Good interpersonal skills. Demonstrated
ability to work independently and as part of a collaborative research
team. Ability to effectively communicate and present research ideas
to researchers and stakeholders with different backgrounds. Fluency
in spoken and written English.

The preferred candidate will have: Solid programming skills in
Julia. Candidates without specific knowledge of Julia but excellent
skills in structurally similar languages such as Python, MATLAB, C++
or Ruby may be considered. Background in optimization
methods. Specific knowledge in metaheuristic techniques such as
simulated annealing of harmonic search is highly desirable.
Experience with molecular dynamics codes (GROMACS, LAMMPS, etc.) is
desirable.


From: Idoia Hernandez recruitment@bcamath.org
Date: August 17, 2022
Subject: Research Technician Position, Optimization Hyperheuristics, BCAM


Basque Center for Applied Mathematics - BCAM is offering a Research
Technician position in optimization hyperheuristics to work with Aritz
Perez in Machine Learning research line.

In some optimization problems the evaluation of a solution can be very
expensive, e.g., an accurate simulation of a complex physical
system. In this project we will develop hyperheuristic optimization
algorithms that control the number of evaluations. The hyperheuristic
will be a combination of a population heuristic algorithm and a
controller, which guides the evolution process of the solutions that
conform the population. The hyperheuristic algorithm will allow to
control the number of evaluations by means of two complementary
strategies: 1) train the controller on simplified versions of the
problem, e.g., simplified simulations of the physical system; and 2)
train the controller allowing a maximum number of evaluations during
the optimization process. The position of research technician is part
of the Elkartek project KONFLOT (KK-2022/00100). The project addresses
the problem of the design of floating wind turbines, and BCAM is in
charge of the design of optimization algorithms.

Deadline: 12 September 2022
Applications at:
http://www.bcamath.org/en/research/job/ic2022-08-research-technician-in-optimizacion-hyperheuristics-elkartek-konflot-kk-2022-00100

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 multi-objective heuristic
optimization.

The preferred candidate will have: Good programming skills in Python.
Background in machine learning. Background in heuristic optimization.


From: Guowei Wei weig@msu.edu
Date: August 17, 2022
Subject: Research Associate Positions, Michigan State Univ


The Department of Mathematics at Michigan State University invites
applications for Mathematical Biology Research Associates with a
starting date of August 16, 2023. However, earlier starting dates are
possible. These are one-year, benefits-eligible positions that are
potentially renewable on an annual basis contingent upon satisfactory
performance and availability of funding. Candidates will be mainly
evaluated on their potential in research.

Candidates are required to have a Ph.D. in Mathematics or equivalent
area, such as computational chemistry/biology/biophysics and computer
science. Applications are considered from any of the focus areas 1)
AI- based drug design and discovery, 2) Bioinformatics/protein
engineering/single-cell RNA sequence analysis, 3) Machine
learning/deep learning, 4) Computational topology/geometry/graph.

Research Associates will be affiliated with Professor Guowei Wei, who
will direct their research activities. The research associates will
engage in our active instructional mentoring program if their
appointment includes an instructional component. Applicants must
submit their application materials to the Mathematical Biology
Research Associate job posting on Mathjobs.org to be considered. A
complete application includes a vita, research statement the indicates
their experience in any of the four focus area, and at least 3 letters
of recommendation, one of which must address their teaching
experience.

Minimum Requirements: Candidates are required to have a Ph.D. in
Mathematics or equivalent area before the starting date.

Review of applications will begin on October 1, 2022 and continue
until positions are filled. A background check is required for
employment.


From: Idoia Hernandez recruitment@bcamath.org
Date: August 16, 2022
Subject: PhD Position, Local Algebra, BCAM


The Singularity Theory and Algebraic Geometry group in the Basque
Center for Applied Mathematics is looking for a PhD candidate to work
with Ilya Smirnov in the general area of local algebra. The research
area of the Fellowship will be local algebra, a branch of commutative
algebra that originates from the study of singularities of the system
of polynomial equations. More generally, it studies local rings from
the viewpoint shaped by singularity theory and algebraic geometry as
the results can be applied to local rings formed by the germs of
functions at a point. The specific project is to be determined in
discussions with the Fellow, the potential areas are multiplicity
theory and positive characteristic methods in commutative algebra.
Multiplicity theory is one of the oldest parts of local algebra, but
it recently had an influx of new ideas largely focused on Lech's
inequality. The inequality can be improved in various ways and this
work is yet to be fully completed. Positive characteristic methods
refer to the algebraic study of singularities over a field of positive
characteristic based on the use of the Frobenius endomorphism: there
are various classes of so-called F-singularities and an even greater
number of numerical invariants. This field is closely connected to
algebraic geometry, but it has also purely algebraic open problems.

The candidate should have a Master degree by the start of the
fellowship, but not at the time of the application. The length of the
position is 4 years.

Deadline: 30 September 2022
Applications at:
http://www.bcamath.org/en/research/job/ic2022-07-phd-in-local-algebra

Skills: Applicants must have an excellent academic record. Good
command of spoken and written English. Ability to clearly present in
spoken and written form. A solid knowledge of algebra proven by taken
classes and a master thesis in related areas. Mathematical maturity.

The preferred candidate will have: Background in commutative algebra
or algebraic geometry. Basic experience in programming, such as
computer algebra systems (Matlab, Maple, Mathematica, etc) may be
useful.


From: Gianluigi Rozza gianluigi.rozza@sissa.it
Date: August 16, 2022
Subject: PhD Position, Mathematical Analysis, SISSA, Italy


In the framework of the doctoral programme in Mathematical Analysis,
Modelling and Applications at SISSA (mathematics area) we do announce
six fellowships supported by the national recovery plan in applied
mathematics and scientific computing. (see sissa.it, math.sissa.it,
mathlab.sissa.it). Interested candidates are kindly asked to apply by
August 31, 2022 at 1pm. Info and applications link:
https://www.sissa.it/bandi/admission-sissa-phd-courses-academic-year-202223-piano-nazionale-di-ripresa-resilienza-pnrr

Available projects in cooperation with industry:
"Development of Algorithms for Reinforcement Learning" in collaboration
with Danieli Automation SpA
"Mathematical and numerical modeling, scientific computing, data
science and the study of automatic and intelligent algorithms for the
study of products and / or processes" in collaboration with Dofware
S.r.l. "Reduction models for the parametric study of temporary
flooring panels for large events" in collaboration with EPS Italia
S.r.l.
"Development of advanced reduced methods of parametric optimization
for the structural analysis of cruise vessels" in collaboration with
Fincantieri SpA

More info here:
https://www.sissa.it/sites/default/files/Schede%20Info%202022_23_DM352_AMMA.pdf

Other available projects:
"Mathematical Analysis, Modelling, and Applications - Cultural
Heritage " (Mathematical and numerical modelling for large scale
simulations in environmental science and geophysics by data-driven
methodologies to protect artistic and monumental heritage)
"Mathematical Analysis, Modelling, and Applications - Double degree in
collaboration with TU Eindhoven" on "Machine Learning for Turbulence"
https://www.sissa.it/sites/default/files/Schede%20Info%202022_23_PNRR_AMMA.pdf


From: Yonghui Yu yyu@lsec.cc.ac.cn
Date: August 22, 2022
Subject: Contents, J Computational Mathematics, 40 (4)


Journal of Computational Mathematics, Volume 40 (2022), issue 4

CONTENTS

A New Hybridized Mixed Weak Galerkin Method for Second-order Elliptic
Problems, Abdelhamid Zaghdani, Sayed Sayari and Miled EL Hajji

An Explicit Multistep Scheme for Mean-field Forward-backward
Stochastic Differential Equations, Yabing Sun, Jie Yang, Weidong Zhao
and Tao Zhou

General Full Implicit Strong Taylor Approximations for Stiff
Stochastic Differential Equations, Kai Liu and Guiding Gu

A Dissipation-preserving Integrator for Damped Oscillatory Hamiltonian
Systems, Wei Shi and Kai Liu

Knot Placement for B-Spline Curve Approximation via l\infty,1-Norm and
Differential Evolution Algorithm, Jiaqi Luo, Hongmei Kang and Zhouwang
Yang

Strong Convergence of the Euler-Maruyama Method for a Class of
Stochastic Volterra Integral Equations, Wei Zhang

A Conforming Quadratic Polygonal Element and Its Application to Stokes
Equations, Xinjiang Chen and Yanqiu Wang

Waveform Relaxation Methods for Lie-group Equations, Yaolin Jiang,
Zhen Miao and Yi Lu



From: Alex Barnett abarnett@flatironinstitute.org
Date: August 16, 2022
Subject: Contents, Adv Comput Math (ACOM), 48 (4)


Numerical methods with particular solutions for nonhomogeneous Stokes
and Brinkman systems, Carlos J. S. Alves, Nuno F. M. Martins, Ana
L. Silvestre

An adaptive finite volume method for the diffraction grating problem
with the truncated DtN boundary condition, Zhoufeng Wang

Adaptive finite element approximation for steady-state Poisson-Nernst-
Planck equations, Tingting Hao, Manman Ma, Xuejun Xu

Design and analysis of the Extended Hybrid High-Order method for the
Poisson problem, Liam Yemm, OPEN ACCESS

Accurate computations with matrices related to bases {tie\lambdat},
E. Mainar, J. M. Pena, B. Rubio, OPEN ACCESS

Uniform error bound of a conservative fourth-order compact finite
difference scheme for the Zakharov system in the subsonic regime, Teng
Zhang, Tingchun Wang

Numerical algorithms for water waves with background flow over
obstacles and topography, David M. Ambrose, Roberto Camassa, Jeremy
L. Marzuola, Richard M. McLaughlin, Quentin Robinson, Jon Wilkening,
OPEN ACCESS

Nonsmooth data optimal error estimates by energy arguments for
subdiffusion equations with memory, Shantiram Mahata, Rajen Kumar
Sinha

Linear approximation method for solving split inverse problems and its
applications, Guash Haile Taddele, Yuan Li, Aviv Gibali, Poom Kumam,
Jing Zhao

Applying GMRES to the Helmholtz equation with strong trapping: how
does the number of iterations depend on the frequency? P. Marchand,
J. Galkowski, E. A. Spence, A. Spence, OPEN ACCESS.

High-order conservative energy quadratization schemes for the Klein-
Gordon-Schrodinger equation, Xin Li, Luming Zhang

Finding geodesics joining given points, Lyle Noakes, Erchuan Zhang,
OPEN ACCESS

Numerical analysis of a stabilized scheme applied to incompressible
elasticity problems with Dirichlet and with mixed boundary conditions,
Tomas P. Barrios, Edwin M. Behrens, Rommel Bustinza

Unconditionally optimal error estimates of a linearized weak Galerkin
finite element method for semilinear parabolic equations, Ying Liu,
Zhen Guan, Yufeng Nie

An accelerated, high-order accurate direct solver for the Lippmann-
Schwinger equation for acoustic scattering in the plane, Abinand
Gopal, Per-Gunnar Martinsson




From: Irena Lasiecka lasiecka@memphis.edu
Date: August 22, 2022
Subject: Contents, Evolution Equations and Control Theory EECT, 11 (5)


Issue nr 5, vol 11 [October] of EECT is available on line. The link is
given here : https://www.aimsciences.org/journal/A0000-0000/2022/11/5

For your convenience, the list of the papers is given below.

Singular integro-differential equations with applications, Mohammed Al
Horani, Angelo Favini and Hiroki Tanabe

Exponential stabilization of a linear Korteweg-de Vries equation with
input saturation, Ahmat Mahamat Taboye and Mohamed Laabissi

[Math Processing Error]-exact controllability of partial differential
equations with nonlocal terms, Luisa Malaguti, Stefania Perrotta and
Valentina Taddei

Robustness of global attractors: Abstract framework and application to
dissipative wave equations, Sergey Dashkovskiy and Oleksiy Kapustyan

Boundary controllability for a coupled system of degenerate/singular
parabolic equations, Brahim Allal, Abdelkarim Hajjaj, Jawad Salhi and
Amine Sbai

A special form of solution to half-wave equations, Hyungjin Huh

Impulsive hemivariational inequality for a class of history-dependent
quasistatic frictional contact problems, Furi Guo, Jinrong Wang and
Jiangfeng Han

Approximate controllability of neutral delay integro-differential
inclusion of order [Math Processing Error] with non-instantaneous
impulses, Avadhesh Kumar, Ankit Kumar, Ramesh Kumar Vats and Parveen
Kumar

Controlled singular evolution equations and Pontryagin type maximum
principle with applications, Xiao-Li Ding, Ivan Area and Juan J. Nieto

Stability estimate for a partial data inverse problem for the
convection- diffusion equation, Soumen Senapati and Manmohan Vashisth

Convergence of random attractors towards deterministic singleton
attractor for 2D and 3D convective Brinkman-Forchheimer equations,
Kush Kinra and Manil T. Mohan

Two simple criterion to obtain exact controllability and stabilization
of a linear family of dispersive PDE's on a periodic domain, Francisco
J. Vielma leal and Ademir Pastor

Stabilization of port-Hamiltonian systems with discontinuous energy
densities, Jochen Schmid

Continuous dependence and optimal control of a dynamic elastic-
viscoplastic contact problem with non-monotone boundary conditions,
Xilu Wang and Xiaoliang Cheng

Exponential stabilization of the problem of transmission of wave
equation with linear dynamical feedback control, Zhiling Guo and
Shugen Chai

Local well-posedness of the coupled KdV-KdV systems on, Xin Yang and
Bing-Yu Zhang

2021 Impact Factor: 1.169
5 Year Impact Factor: 1.294


From: Raimondas Ciegis raimondas.ciegis@vgtu.lt
Date: August 16, 2022
Subject: Contents, Mathematical Modelling and Analysis, 27 (3)


MATHEMATICAL MODELLING AND ANALYSIS
The Baltic Journal on Mathematical Applications, Numerical Analysis
and Differential Equations
ISSN 1392-6292, ISSN 1648-3510 online, Electronical edition:
http://mma.vgtu.lt

Raimondas {\v{C}}iegis (Editor) Volume 27, Issue 3, 2022
(p.360-532)

CONTENTS

Somia Ayad, Ali Laksaci, Sa{\^ a}dia Rahmani and Rachida Rouane, Local
Linear Modelling of the Conditional Distribution Function for
Functional Ergodic Data

Sayed Saber and Ahmad Alalyani, Stability Analysis and Numerical
Simulations of {IVGTT} Glucose-Insulin Interaction Models with Two
Time Delays

Shambel Tadesse Degefa, Oluwole Daniel Makinde and Tamirat Temesgen
Dufera, Mathematical Model of Potato Virus Y Disease Spread with
Optimal Control

Sidi Yassine Idrissi, An Active Contour Model for Texture Image
Segmentation Using R\'enyi Divergence Measure

Somayeh Fakhri and Sayed Hodjatollah Momeni-Masuleh, An Explicit
Spectral Collocation Method for the Drug Release Coronary Stents

Raphael Schulz, Uniqueness of Degenerating Solutions to a
Diffusion-Precipitation Model for Clogging Porous Media

Mudasir Younis, Deepak Singh, Lili Chen and Mohamed Metwali, A Study
on the Solutions of Notable Engineering Models

Eduardo Gonz\'{a}lez-Olivares, Adolfo Mosquera-Aguilar, Paulo
Tintinago-Ruiz and Alejandro Rojas-Palma, Bifurcations in a
Leslie-Gower Type Predator-Prey Model with a Rational Non-Monotonic
Functional Response


End of Digest