NA Digest, V. 22, # 32

NA Digest Sunday, October 02, 2022 Volume 22 : Issue 32


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: Tsorng-Whay Pan pan@math.uh.edu
Date: September 29, 2022
Subject: New Book, Numerical Simulation of Incompressible Viscous Flow


Numerical Simulation of Incompressible Viscous Flow: Methods and
Applications By Roland Glowinski and Tsorng-Whay Pan
Series in Applied and Numerical Mathematics, vol. 7

This book on finite element-based computational methods for solving
incompressible viscous fluid flow problems shows readers how to apply
operator splitting techniques to decouple complicated computational
fluid dynamics problems into a sequence of relatively simpler
sub-problems at each time step, such as hemispherical cavity flow,
cavity flow of an Oldroyd-B viscoelastic flow, and particle
interaction in an Oldroyd-B type viscoelastic fluid. Efficient and
robust numerical methods for solving those resulting simpler
sub-problems are introduced and discussed. Interesting computational
results are presented to show the capability of methodologies
addressed in the book.

This book discusses finite element based computational methods for
solving incompressible viscous fluid flow problems. Fundamental
aspects of the computational methodologies, and extensions for
advanced engineering applications are also presented.

De Gruyter 2022:
https://www.degruyter.com/document/doi/10.1515/9783110785012/html


From: saad benjelloun SAAD.BENJELLOUN@UM6P.MA
Date: September 26, 2022
Subject: AI4Science Workshop, Morocco, Dec 2022


I would like to share with you this upcoming workshop, aimed toward
professors and researchers in ML and other fields of science, to learn
and explore AI, how and what it can do to enhance and accelerate
scientific discovery.

ai4science.nassma.ai

The addressed scientific applications will range from Protein folding,
drug discovery to climate modeling and computational physics.

The workshop is a collaboration between NASSMA Organisation for the
promotion of STEM education and Research and UM6P, MASCIR-UM6P and
Google Deepmind.

More information and application (before October 15th) on :
ai4science.nassma.ai


From: David Gleich dgleich@purdue.edu
Date: September 26, 2022
Subject: Call for Minitutorials, SIAM CSE, The Netherlands, Feb 2023


SIAM is seeking proposals for minitutorials to be presented at the
2023 SIAM Conference on Computational Science and Engineering (CSE23),
February 26-March 3, 2023 in Amsterdam, the Netherlands.

Please see
https://www.siam.org/Portals/0/Conferences/CSE23/CSE23_MT_CFP.pdf for
more details, including how to submit. The deadline for minitutorial
proposals is October 18, 2022. For all conference details, including
conference themes, go to:
https://www.siam.org/conferences/cm/conference/cse23

The SIAM CSE conference seeks to enable in-depth technical discussions
on a wide variety of major computational efforts on large-scale
problems in science and engineering, foster the interdisciplinary
culture required to meet these large-scale challenges, and promote the
training of the next generation of computational scientists.


From: Dilmurat Azimov azimov@hawaii.edu
Date: September 29, 2022
Subject: Optimal Guidance & Control, Autonomous Systems, USA, Mar 2023


IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems
Location: University of Hawaii, Manoa, Honolulu, Hawaii, 96822
Event Type: Symposium
Submission Type: Abstract (with no more than one page MS Word or pdf.)
Symposium Website: https://manoa.hawaii.edu/ISOGCAS2020/

Important due dates:
December 20, 2022: abstract due
January 20, 2023: acceptance notification
February 20, 2023: final upload of papers
February 1 - March 10, 2023: early registration
March 14 - March 16, 2023: on-site registration

Areas of the symposium include, but not limited to: Autonomous
systems; Motion planning ; Optimal Control; Feedback control; Machine
learning; Reinforcement learning; Swarm network control; Centralized
or decentralized control; Guidance, navigation and control (GNC);
Stability; Targeting; Data processing; Sensor fusion; On-board control
systems.



From: Gabriel R. Barrenechea gabriel.barrenechea@strath.ac.uk
Date: September 26, 2022
Subject: Biennial Conference on Numerical Analysis, UK, Jun 2023


It is our pleasure to announce that registration will open shortly for
the 29th Biennial Conference on Numerical Analysis. The meeting will
take place during June 27-30, 2023 at the University of Strathclyde,
Glasgow, Scotland

This long established conference is open to all researchers in the
field, and you are invited to contribute a talk on your current
work. PhD students and young researchers will find the environment
particularly welcoming. We will solicit proposals for mini-symposia to
be submitted on-line.

The following distinguished researchers have accepted invitations for
plenary lectures at the conference:

Coralia Cartis, University of Oxford; Lars Elden, Linkoping
University; Emmanuil Georgoulis, Heriot-Watt University and National
Technical University of Athens; Chen Greif, The University of British
Columbia; Laura Grigori, INRIA, Paris; Angela Kunoth, University of
Cologne; Sven Leyffer, Argonne National Laboratory; Riccardo Nochetto,
University of Maryland, College Park; Daniel Peterseim, University of
Augsburg; Gabriel Peyre, Ecole Normale Superieure; Catherine Powell,
The University of Manchester; Christine Tretter, University of Bern.

The A R Mitchell lecture will be given by Ricardo Nochetto and the
Fletcher-Powell lecture by Sven Leyffer.

Further information can be found at the Conference's web page
https://numericalanalysisconference.org.uk/


From: Heinkenschloss Matthias heinken@rice.edu
Date: September 28, 2022
Subject: Faculty Positions, Computational Applied Math and OR, Rice Univ


The Department of Computational Applied Mathematics and Operations
Research at Rice University in Houston, Texas, seeks outstanding
candidates for two positions aligned with its expansion in
computational and applied mathematics. Each application must include
an application letter, a current curriculum vitae with a publication
list, a research statement, a teaching statement, and a diversity
statement. Applicants should also arrange for three recommendation
letters.

To receive full consideration, the complete application must be
received by October 15, 2022, but the committee may consider
applications filed after that date.

More information on the job posting is at:
https://www.mathjobs.org/jobs/list/20562

Applications must be made through: https://apply.interfolio.com/112731


From: Yifei Lou yifei.lou@utdallas.edu
Date: September 26, 2022
Subject: Tenure-Track Positions, Math, Stats, Actuarial Science, UT Dallas


Tenure-track Faculty Positions in Mathematics, Statistics, and
Actuarial Science

The Department of Mathematical Sciences within the School of Natural
Sciences and Mathematics at the University of Texas at Dallas invites
applications for tenure-track faculty positions at the Assistant
Professor level in the following areas: Mathematics, Statistics, and
Actuarial Science. Successful candidates will have an outstanding
record of research excellence in the field with strong likelihood of
funded grants from federal agencies; a commitment to effective and
engaging teaching at both undergraduate and graduate levels; and a
commitment to mentoring students in the respective programs.

Candidates must have a PhD or equivalent in Mathematics, Statistics,
or a closely related field for positions in Mathematics and
Statistics. For the Actuarial Science position, candidates must have a
Ph.D. (or equivalent) in Actuarial Science, Statistics, Mathematics,
Risk Management, or a closely related field. All candidates should
demonstrate their commitment to excellence in teaching, research, and
service, which includes a strong commitment to principles of
diversity, equity, and inclusion. All candidates are expected to work
effectively in a highly collaborative, engaging, and dynamic
environment comprised of individuals of diverse backgrounds, skills,
and perspectives. The appointment commences in Fall 2023. A doctoral
degree is required prior to joining; those with ABD status will be
considered at the application/interviewing stage. Candidates for the
position in Actuarial Science should also have actuarial credentials,
such as an Associate or a Fellow of a professional actuarial
organization.

Applicants should upload the following via the online application:
Cover letter and full curriculum vitae summarizing their interests and
their qualifications for the position, including past and/or
anticipated future efforts to advance diversity, equity and inclusion;
Statement of teaching philosophy describing (at a minimum) their
conceptualizations of teaching and learning, teaching and assessment
methods, and how their teaching philosophy and practices foster (or
will foster) equitable and inclusive learning environments; Statement
of research interests describing (at a minimum) past, present, and
future research and how they have fostered (or will foster) equitable
and inclusive research environments; and Full contact information for
at least three academic or professional references.

The links for online applications are:
Mathematics: https://jobs.utdallas.edu/postings/20984/
Statistics: https://jobs.utdallas.edu/postings/20995/
Actuarial science: https://jobs.utdallas.edu/postings/20997/

Reviews will commence as completed applications are received and will
continue until the position is filled or the search is closed on April
1, 2023. Priority will be given to completed applications received by
October 5, 2022.


From: Tsorng-Whay Pan pan@math.uh.edu
Date: September 30, 2022
Subject: Tenure-Track Position, Computational PDEs, Univ of Houston


The Department of Mathematics in the College of Natural Sciences and
Mathematics at the University of Houston invites applications from
candidates working in computational partial differential equations
(PDEs) and scientific computing for a tenure-track Assistant Professor
position to begin in August 2023.

We are particularly interested in someone with expertise in
computational PDEs and scientific computing who would complement and
enhance the excellent group in applied mathematics at the Department
of Mathematics, facilitate interactions with research groups at Texas
Medical Center and the UH College of Medicine, and further our
strategic connections with other departments at UH in the Advanced
Computing and Information Science, the R&D priority area. Candidates
with high-level of competence in the application of computational PDEs
and scientific computing to Life Science and Medicine are particularly
encouraged to apply. The Department of Mathematics is seeking
outstanding candidates with the potential for exceptional research,
excellence in teaching, and clear commitment to enhancing the
diversity of the faculty, graduate and undergraduate student
population.

A minimum requirement for this position is a PhD in Mathematics, or a
related field. Note: Official transcripts are required for a faculty
appointment and will be requested upon selection of the final
candidate. Candidates should provide the names and contact
information for four recommendation letter writers of which one
addresses teaching. All positions at the University of Houston are
security sensitive and will require a criminal history check. Official
job posting for University of Houston can be found here:
https://uhs.taleo.net/careersection/ex2_uhf/jobdetail.ftl?job=3DFAC002498&tz=3DGMT-05%3A00&tzname=3DAmerica%2FChicago

Submit the following items online at this website to complete your
application: Cover letter; Curriculum Vitae; Research statement;
Statement of teaching philosophy; Four reference letters (to be
submitted online by the reference writers); And anything else
requested in the position description.

Further Info:
https://uhs.taleo.net/careersection/ex2_uhf/jobdetail.ftl?job=3DFAC002498&tz=3DGMT-05%3A00&tzname=3DAmerica%2FChicago



From: Ilya Safro isafro@udel.edu
Date: September 30, 2022
Subject: Tenure-Track Positions, Univ of Delaware


Open Rank Tenure Track Faculty Positions
Department of Computer and Information Sciences
University of Delaware

Apply at
https://careers.udel.edu/en-us/job/499305/tenure-track-open-rank-faculty-position-computational-materials-science

Applications are invited for an open-rank cross-disciplinary
tenure-track faculty position in computational materials science in
the College of Engineering at the University of Delaware. The position
will have a primary appointment in the Computer and Information
Sciences (CIS) Department and a secondary appointment in Material
Science and Engineering (MSEG) Department. Areas of high interest
include but are not limited to AI, machine learning, computer vision,
scientific and high- performance computing, complex network science,
and algorithms with applications to computational materials design and
materials genome, data driven materials modeling and discovery, and
materials informatics. Outstanding candidates in all areas will also
be considered. Applicants should hold a Ph.D. or its equivalent in a
relevant field. We encourage all ambitious, innovative individuals,
who have demonstrated excellence in research and drive to become
leaders in their fields while engaging in high-quality teaching and
mentoring of diverse students, to apply. Review of applications will
begin on November 15, 2022 and will continue until the position is
filled.

Other Computer and Information Sciences positions are available at
https://careers.udel.edu/en-us/job/499255/open-rank-tenure-track-faculty-position-computer-and-information-sciences
and
https://careers.udel.edu/en-us/job/499307/tenure-track-faculty-position-computational-biomedicine


From: HKBU Computer Science wwwadm@comp.hkbu.edu.hk
Date: September 28, 2022
Subject: Research Assistant Professor Position, CS, HKBU


The Department of Computer Science at Hong Kong Baptist University
presently offers BSc, MSc, MPhil, and PhD programmes, and is now
seeking outstanding applicants for the following positions.

Research Assistant Professor in Computer Science (3 vacancies)
(PR0174/22-23). The positions are created and funded as part of the
strategic research development initiatives in the Department. The
appointees will be provided with a conducive research environment, and
will work within an established group of faculty in the
Department. They are also expected to perform group-based high-impact
research and undertake some teaching duties. Applicants should
possess a PhD degree in Computer Science, Computer Engineering,
Information Systems, or a related field, and sufficiently demonstrate
abilities to conduct high-quality research in one of the Department's
key research areas: (i) Artificial Intelligence and Machine Learning;
(ii) Big Data and Data Management; (iii) Computer Vision and Pattern
Recognition; and (iv) Distributed Systems and Networking. These key
research areas have a special thematic focus on (a) Health Informatics
and (b) Security and Privacy-aware Computing related applications.
The initial appointment will be made on a fixed-term contract of two
to three years. Re-appointment thereafter is subject to mutual
agreement. For enquiry, please contact Prof. Jianliang Xu, Head of
Department (email: xujl@comp.hkbu.edu.hk) More information about the
Department can be found on its website at
https://www.comp.hkbu.edu.hk. Salary will be commensurate with
qualifications and experience.

Applicants are invited to submit their applications at the HKBU e-
Recruitment System (jobs.hkbu.edu.hk) with samples of publications,
preferably the three best ones out of their most recent
publications/works. Those should also request two referees to send in
confidential letters of reference, with the PR number (stated above)
quoted on the letters, to the Human Resources Office (Email:
recruit@hkbu.edu.hk) direct. Those who are not invited for interview 4
months after the submission of the application may consider their
applications unsuccessful. All application materials including
publication samples, and scholarly/creative works will be disposed of
after completion of the recruitment exercise. Details of the
University's Personal Information Collection Statement can be found at
http://hro.hkbu.edu.hk/pics.

Review of applications is on-going until the positions are filled.
URL: https://www.comp.hkbu.edu.hk/v1/?page=3Djob_vacancies&id=3D832


From: Jiguang Sun jiguangs@mtu.edu
Date: September 29, 2022
Subject: Visiting Assistant Professor Position, Mathematics, MTU


The Department of Mathematical Sciences at Michigan Technological
University invites applications for a Visiting Assistant Professor.
Candidates should have a Ph.D. in mathematics or a related discipline
and have research experience in computational mathematics, machine
learning, and statistics. More information can be found at:
https://www.employment.mtu.edu/cw/en-us/job/492819


From: Yiqiu Dong yido@dtu.dk
Date: September 26, 2022
Subject: Postdoc Position, Inverse Problems, Technical University of Denmark


The Technical University of Denmark has an opening for two 2-year
Postdoc positions. The positions are part of the research project
"Tomography of Alpha Particles in Fusion Plasma (TAPP)". The goal of
the TAPP projects is to exploit and further develop the novel
tomographic reconstruction methods to explain new physics of the
energetic alpha particles by using comprehensive data from the fusion
device through velocity-space tomography.

Two positions will be hired at either DTU Compute or DTU Physics. The
candidate must have either a solid background in inverse problems or
deep understanding on the physics of fusion plasmas.

For more details and to apply:
https://www.dtu.dk/english/about/job-and-career/vacant-positions/job?id=3D235a4c72-c548-4195-8314-41217d478d40

The deadline of applications is 22 October 2022 at 23:59 (Danish
time).


From: Roderick Melnik rmelnik@wlu.ca
Date: September 26, 2022
Subject: Postdoc Position, M3AI Lab/MS2Discovery, WLU, Canada


Applications are invited for a Postdoctoral Position in Modeling for
Complex Systems, with a focus on the areas specified at the website
given below. The successful candidate will be part of the research
program in mathematical modeling and computational & data sciences at
the Laurier M3AI Lab and MS2Discovery Institute in Waterloo,
Canada. Further information about the position and how to apply can be
found at the following website:
https://m3ai.wlu.ca/research/current-openings.html

The position is available from January 3, 2023. The review of
applications will begin immediately and continue until the position is
filled.


From: J. Lu jianlu1979@163.com
Date: October 01, 2022
Subject: Postdoc Position, Numerical Comp/Optim/Wavelet/ML, SZU


Job Type: Full-Time for Research Scientist / PostDoc
Duration: 2 years
Number of Position: 2 Positions
Salary for Postdoc: about 340,000 RMB (about 48892 US dollars) --
420,000RMB (about 60396 US dollars) per year.
Closing Date: Open Until Filled.

Description: We have projects that are looking for Research
Scientists/Postdoc in Wavelet analysis, Optimization, Numerical
Computing, Image/Video/Signal Processing/Analysis, Matrix theory,
Harmonic Analysis, Machine Learning, etc.

We have no teaching tasks.

Promotors: Prof. Jian Lu (Shenzhen Key Laboratory of Advanced Machine
Learning and Applications, College of Mathematics and Statistics,
Shenzhen University, Shenzhen, China. email: jianlu@szu.edu.cn;
jianlu1979@163.com)

Those who are interested in Research Scientist/Postdoc please send
their C.V. to Prof. Dr. Jian Lu (email: jianlu@szu.edu.cn;
jianlu1979@163.com ).


From: Jakub Marecek jakub.marecek@fel.cvut.cz
Date: October 01, 2022
Subject: Postdoc Position, Optimal Control, Czech Technical Univ


Mixed-integer programming is a rich area of research in optimization,
largely driven by applications. Recently, there has been much interest
in the operations of pipelines carrying natural gas. In contrast, the
scheduling of multiproduct pipeline systems carrying oil and oil
products introduces several complications: multi-commodity aspects,
operational constraints of the refineries, non-trivial models of the
cost of pumping (driven by electricity markets, but also the sale of
ancillary services therein), and railway logistics as an alternative
to pumping.

In collaboration with a major operator of pipelines carrying crude oil
and numerous oil products, we are seeking a post-doctoral fellow
interested in the optimal scheduling of a multiproduct pipeline system
using a mixed- integer programming. With the help of a team of
professional software engineers at a third-party software house, the
research will translate into production, improving the operator's
performance with respect to electricity efficiency.

The post-doctoral fellow will benefit from the mentorship by Jakub
Marecek and Vyacheslav Kungurtsev in the Dept. of Computer Science of
the Czech Technical University. The position is full time and limited
to 3 years, but can be extended in case of mutual interest. The
studentship comes with a monthly salary almost double the average pay
in Prague, the Czech Republic (cca. EUR 40K p.a. before a notably low
tax). The Czech capital regularly ranks among five European cities
within the world's best cities in the world to live in (cf. Time Out
Magazine index for 2021) and CTU's offices are in a centrally-located
palace with a view of Prague Castle. For more information, please see
https://en.wikipedia.org/wiki/Prague

We seek candidates with a Ph.D. degree in Mathematics, Computer
Science, Operations Research, Engineering or related disciplines, and
some experience in integer programming. A preference is given to:
candidates with experience in optimal control; candidates with
experience with scheduling or multi-commodity flow models; candidates
with experience in programming in Python. We expect to start
interviewing candidates in September 2022 and the position will be
available until filled.

Czech Technical University (CTU) is the oldest non-military technical
university in Europe. In the academic year 2020/21, CTU offered 130
degree programs in Czech and 84 in English. CTU's control-theory
research is well known, especially thanks to Vladimir Kucera. CTU's
Artificial Intelligence Center (AIC) with a staff of 150 is widely
recognized as one of the best in the region. CSRankings.org currently
ranks it at number 6 in Europe within AI and Computer Vision, after
Technion, ETH Zurich, Imperial, Max Planck Society, and EPFL. Since
March 2020, Jakub Marecek leads the Optimization research group within
the AIC. For more information, please see
https://www.aic.fel.cvut.cz/research- areas/optimization


From: Fischer Patrick patrick.fischer@u-bordeaux.fr
Date: September 29, 2022
Subject: Postdoc Position, Scientific Computing, Univ of Bordeaux, France


A two years Postdoctoral position will be available to work on the
AAPG2022 research project LiFT (funding from the French government)
related to Navier-Stokes numerical simulations. The goal of this
postdoctoral research will be to perform the numerical simulations
corresponding to the physical experiments carried out by our partners
at LOMA laboratory.

Summary: Two aspects of turbulent flows have been the subjects of
extensive, but separate, research efforts: their macroscopic
properties and their turbulent spectrum. Linking these two strands of
turbulence represents a major step and opens new possibilities in
controlling the macroscopic response through tuning the statistical
properties of turbulent flows, notably by using additives such as
polymers, surfactants, or air bubbles. Three specific objectives have
been identified and will be tackled in three work-packages: 1. Uncover
the roughness-dependence of friction drag in 2D turbulent flows;
2. Probe the phenomenon of drag reduction in 2D turbulent flows;
3. Develop an original 2D Couette cell with different statistical
properties of turbulence.

Profile: PhD in scientific computing or in fluid mechanics with strong
competences in scientific programming in FORTRAN. Experiences in High
Performance Computing will be greatly appreciated. Fluent in english.
Salary: 25900 Euro/year. Expected beginning of the position: October
1st, 2023. Interested applicants should send a curriculum vitae
including a complete list of publications names of three references
including email addresses to: Dr Patrick Fischer:
Patrick.Fischer@u-bordeaux.fr .

This search will proceed until a suitable candidate is
selected. Applications will be reviewed from October 1, 2022.


From: Thomas Carraro carraro@hsu-hh.de
Date: September 26, 2022
Subject: PhD/Postdoc Position, Optimization, Applied Mathematics, Germany


Helmut Schmidt University / UniBw Hamburg (Germany) offers a position
as PhD student or Postdoc (f/m/d) in Applied Mathematics for three
years.

The scientific activity is carried out within the framework of the
third party funded research collaborative project "HiBRAIN- Holistic
method of a combined data- and model-based electrode design supported
by artificial intelligence; Subproject: Optimal experimental design
and model development". Optimal design of experiments with partial
differential equations (PDE). The goal of optimal design of
experiments is to minimize the uncertainty in the estimation of the
model parameters. Mathematically, it is a nested optimization
task. After the estimator of the selected parameters is found, its
covariance is optimized in a stochastic sense. The classical
optimality criteria are functionals of the eigenvalues of the
covariance matrix of the model parameters. In this project, classical
methods of optimal design of experiments as well as Bayesian
approaches and stochastic optimization approaches can be
considered. Artificial intelligence support will be explored in all
parts of the project in collaboration with HiBRAIN partners. Support
the teaching of calculus, linear algebra, and numerical mathematics.

Qualification Requirements: A master's degree in mathematics completed
with above average results; Excellent knowledge in programming with
C++ or Python; Very good knowledge of German and English, both written
and spoken. Furthermore preferred: Special knowledge of optimization
with partial differential equations as constraints; Sound knowledge of
discretization methods for PDE, preferably finite element method;
Experience with artificial intelligence and machine learning may be
helpful, but is not required; Experience in project management of
scientific projects; Strong interest in scientific work as well as the
ability to teach.

For information on the position, please contact Prof. Dr. Thomas
Carraro, e-mail: carraro@hsu-hh.de.


From: Mario Ohlberger mario.ohlberger@uni-muenster.de
Date: September 30, 2022
Subject: Doctoral/Postdoc Positions, Mathematics Munster


Dive into your own research project and benefit from the excellent
research environment at the University of Munster, Germany.
Doctoral positions, postdoctoral positions as well as Young Research
Groups at Mathematics Munster are open for application.

Apply now: Doctoral Positions. Join the Mathematics Munster Graduate
School and profit from the active and demanding research environment
for talented and motivated doctoral researchers aiming to become the
next generation of leading scientists. Salary level E13 TV-L, 75% for
three years. In all research areas related to Mathematics Munster.
The duration of the PhD positions is three years. The expected
starting date is no later than October 2023. Apply until 1 November
2022.

Apply now: Postdoctoral Positions. Establish your own research
profile in our stimulating research environment amongst
internationally renowned scientists and benefit from the career
development opportunities to foster your scientific independence.
Salary level E13 TV-L, 100% for up to three years. In all research
areas related to Mathematics Munster. The expected starting date is
no later than October 2023. Apply until 1 November 2022.

Apply now: Young Research Groups Collaborate for four years as Young
Research Group, consisting of two Postdocs, on a joint research
project relevant to the topics of Mathematics Munster. Group members
are expected to apply individually for the postdoc positions and hand
in a joint letter of motivation. Salary level E13 TV-L, 100% for up
to four years. In all research areas related to Mathematics Munster.
The expected starting date is no later than October 2023. Postdoc
applicants are invited to collaborate as a Young Research Group on a
joint research project relevant to the topics of Mathematics Munster.

Find more information on positions, requirements and online
application form at:
https://www.uni-muenster.de/MathematicsMuenster/careers/apply


From: Viktoria Schildhammer viktoria.schildhammer@univie.ac.at
Date: September 29, 2022
Subject: Doctoral Position, Data Science/Machine Learning


The Research Network "Data Science @ Uni Vienna" invites applications
for a doctoral position in the field of Machine Learning with
applications for training load management in top-level sports. We are
looking for candidates with a strong background in statistics,
particularly machine learning, good programming skills in R and/or
Python and experience in visualization and visual data
analysis. Candidates should have a master's degree preferably in data
science, statistics, mathematics, computer science or related fields
with strong quantitative orientation. We offer a pleasant work
environment within a friendly, dynamic and international team, being
placed in a city with the world-wide highest living quality. The
candidate will work in the project "Artificial Intelligence in Rowing"
(AIROW), a highly innovative and interdisciplinary project on the
interface between statistics, computer science and sports
sciences. This project will bring together methodological competence
in data science with current developments in sport sciences as well as
technological progress in wearables and medical diagnostics in order
to optimize training load of top athletes in endurance sports, such as
rowing, swimming, triathlon or running. We will collect and process
"big data" from training and performance processes of individual
athletes and will use state-of-the-art machine learning technology in
order to quantify the training workload, to predict the effect of
training impulses and to optimize training management. For more
details, see https://airow.univie.ac.at. Contracts for doctoral
students are limited to 4 years. Doctoral applications should include
(i) a curriculum vitae, (ii) a transcript of completed courses and
grades (iii) a letter of motivation, and (iv) three recommendation
letters. Salary in accordance with collective bargaining agreement:
S48 VwGr. B1 Grundstufe (praedoc) with relevant work experience
determining the assignment to a particular salary grade. Candidates
should send all application material in a single pdf or zip file to
Viktoria Schildhammer (viktoria.schildhammer@univie.ac.at). The
recommendation letters should be sent by the reviewers directly to
Viktoria Schildhammer (viktoria.schildhammer@univie.ac.at).

Deadline: 01.11.2022

Knowledge of German is an asset, but not required. The University of
Vienna is an equal opportunity employer and aims at increasing the
number of female faculty members. Therefore, in particularly,
qualified women are encouraged to apply. Information about the
Research Network "Data Science @ Uni Vienna" can be found at
https://datascience.univie.ac.at. If you need further information
regarding the position, please, contact Professor Nikolaus Hautsch
(nikolaus.hautsch@univie.ac.at)


From: Kim Batselier k.batselier@tudelft.nl
Date: September 26, 2022
Subject: PhD Position, Probabilistic Tensor Methods, TU Delft, The Netherlands


The Delft Tensor AI Lab at the Delft University of Technology offers a
4-year PhD position on probabilistic tensor methods for sustainable
AI.

The research in this PhD project will be on developing a new theory to
make learning models from data sustainable. The key idea of this
theory is to significantly compress model parameters with a novel
technique: tensor networks. By exploiting correlations tensor networks
can capture relevant information such that only a fraction of the
original model parameters is required. The focus of this PhD project
will be on developing theory for learning kernel machines (support
vector machines, Gaussian processes, &) with tensor networks and by
using a Bayesian inference approach.

To find more information and apply online, please visit
https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobId=3D8446&jobTitle=3DPhD%20Position%20Probabilistic%20Tensor%20Methods


From: Ismail Adeniran i.adeniran@mmu.ac.uk
Date: September 27, 2022
Subject: PhD Position, Scientific Machine Learning, Manchester Metropolitan


The Centre for Advanced Computational Science in the Department of
Computer Science and Mathematics at Manchester Metropolitan University
is inviting applications for a fully funded 3-year PhD studentship (UK
students only - successful overseas applicants will be expected to pay
the difference between the home and overseas rate).

The project involves the use of reinforcement learning, optimal
control and computer vision techniques to understand and provide
rehabilitative solutions for spinal curvature problems (scoliosis) in
Spinal Muscular Atrophy (SMA). SMA is a genetic disease which affects
the nerve cells in the spinal cord connecting the brain to the muscles
of the body. Due to the impact of the condition on the muscles
supporting the spine, almost all children with SMA develop scoliosis -
a progressive curvature of the spine into an "S" shape.

The overarching goal is to use a unique combination of reinforcement
learning, optimal control and computer vision techniques, and
algorithms to develop patient-specific, physiologically-based human
skeletal models of SMA patients that reconstruct movement and
deterioration patterns of patients with scoliosis. This will be used
to understand how scoliosis develops/worsens and determine avenues and
means for prevention and rehabilitation.

You can find more details and information on how to apply here:
https://www.mmu.ac.uk/research/research-study/scholarships#ai-71444-3

The deadline for application is October 21, 2022. For enquiries about
the Project, please contact Dr Ismail Adeniran (i.adeniran@mmu.ac.uk).


From: Barbara Verf=FCrth verfuerth@ins.uni-bonn.de
Date: September 27, 2022
Subject: PhD Positions, Numerical Analysis, Germany


The Institute of Numerical Simulation is looking for 2 research
assistants (each 75%) in the field of numerical analysis for a period
of three years as soon as possible. The research group of Barbara
Verfurth is interested in the design, numerical analysis and
implementation of numerical methods for multiscale problems. The
envisioned research aims at the development and analysis of numerical
methods for nonlinear, random, and dynamical multiscale problems and
is part of a project funded by the German Research Foundation (DFG).

Candidates should have a Master's degree in mathematics (or closely
related field) with s strong background in the theory of numerical
methods for partial differential equations and numerical
analysis. Some programming knowledge is highly beneficial.

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 research environment.

For further information and how to apply, please see the full
advertisement at
https://www.uni-bonn.de/de/universitaet/medien-universitaet/medien-
arbeiten-an-der-uni/medien-personalmanagement/pdfs-
stellenausschreibungen-wiss.ma/32-22-331_eng.pdf or e-mail Barbara
Verfurth.


From: Jose E Castillo jcastillo@sdsu.edu
Date: September 26, 2022
Subject: Prospective PhD Students Fair, ONLINE, Oct 2022


UC Irvine - San Diego State University Joint Doctoral Program in
Computational Sciences Seeks Doctoral Students for Fall 2023

The Interdisciplinary Ph.D. Program in Computational Science is aimed
at training scientists and engineers who will create advanced
computational methods and tools to model and solve challenging
problems at the intersections of scientific disciplines. The doctoral
program offers coursework and research in a broad range of subjects
that develop expertise in Mathematical Modeling and Scientific
Computing with applications to Biological Science, Earth Science,
Engineering Science, Health, Physical and/or Chemical Science. UCI and
SDSU campuses are recognized as Hispanic Serving Institutions offering
a welcoming and supportive environment for diverse students. Admitted
graduate students are offered a range of financial assistance options
while they are pursuing advanced degrees, including Teaching,
Graduate, and Research Assistantships and Fellowships. Applicants with
strong backgrounds in mathematics, physical, biological and geological
sciences, computer science, and engineering are invited to
apply. Please check our website for details regarding the doctoral
program and the application process. We have 20 positions available.
A virtual information session for the program will be held on October
13th, 2022 from 2:00 - 3:30 pm on Gather (https://gather.town/). To
attend, please register using the link below.

https://docs.google.com/forms/d/e/1FAIpQLSdZIlnEMcBwgDk9nvgFyaBGqMyDhbYE550HNWNTJrdxxYjQNg/viewform

Link to the virtual space will be sent only to registered participants
2 days before the event. This will be a great opportunity to meet and
interact with current students in the program, potential faculty
advisors and program coordinators.


From: Ursula Tian ursula.tian@mdpi.com
Date: September 27, 2022
Subject: Call for Papers, AppliedMath, Open Access


AppliedMath (ISSN: 2673-9909,
https://www.mdpi.com/journal/appliedmath) is an international and
peer-reviewed journal of applied mathematics, published quarterly
online by MDPI. Manuscripts are peer-reviewed and a first decision is
provided to authors approximately 25 days after submission. We invite
researchers to contribute either a long review or research paper to be
published *free of charge* in the new journal AppliedMath (the
standard article processing charge is 1000 CHF).

For further information please email to appliedmath@mdpi.com.



From: Lothar Reichel reichel@math.kent.edu
Date: September 27, 2022
Subject: Contents, Electron. Trans. Numer. Anal. (ETNA), 55


J. Lampe and H. Voss, A survey on variational characterizations for
nonlinear eigenvalue problems

M. Bogoya, S. Serra-Capizzano, and K. Trotti, Upper Hessenberg and
Toeplitz Bohemian matrix sequences: A note on their asymptotical
eigenvalues and singular values

A. H. Bentbib, A. Khouia, and H. Sadok, The LSQR method for solving
tensor least-squares problems

N. Bootland, V. Dolean, A. Kyriakis, and J. Pestana, Analysis of
parallel Schwarz algorithms for time-harmonic problems using block
Toeplitz matrices

J. Hertrich, F. Antarou Ba, and G. Steidl, Sparse mixture models
inspired by ANOVA decompositions

D. Bianchi, A. Buccini, M. Donatelli, and E. Randazzo, Graph Laplacian
for image deblurring

M. Lupo Pasini and S. Perotto, Hierarchical model reduction driven by
a proper orthogonal decomposition for parametrized
advection-diffusion-reaction problems

E. Dudley, A. K. Saibaba, and A. Alexanderian, Monte Carlo estimators
for the Schatten p-norm of symmetric positive semidefinite matrices

R. M. Asharabi and F. H. Al-Haddad, On multidimensional sinc-Gauss
sampling formulas for analytic functions

P. Huang and C. Liao, A decoupling finite element method with
different time steps for the micropolar fluid model

F. Xue, One-step convergence of inexact Anderson acceleration for
contractive and non-contractive mappings

J. Arf and B. Simeon, A space-time isogeometric method for the partial
differential-algebraic system of Biot's poroelasticity model

E. Carrier and M. T. Heath, Exploiting compression in solving
discretized linear systems

P. Ohm, T. A. Wiesner, E. C. Cyr, J. J. Hu, J. N. Shadid, and
R. S. Tuminaro, A monolithic algebraic multigrid framework for
multiphysics applications with examples from resistive MHD

M. Wu and C. Li, Modulus-based circulant and skew-circulant splitting
iteration method for the linear complementarity problem with a
Toeplitz matrix

T. R. Cameron and S. Graillat, On a compensated Ehrlich-Aberth method
for the accurate computation of all polynomial roots

D. R. Jandrlic, D. M. Krtinic, Lj. V. Mihic, A. V. Pejcev, and
M. M. Spalevic, Error bounds for Gaussian quadrature formulae with
Legendre weight function for analytic integrands

M. Schweitzer, Decay bounds for Bernstein functions of Hermitian
matrices with applications to the fractional graph Laplacian

C. Greif, Structured shifts for skew-symmetric matrices

A. Binder, O. Jadhav, and V. Mehrmann, Error analysis of a model order
reduction framework for financial risk analysis

N. Guglielmi and V. Mehrmann, Computation of the nearest structured
matrix triplet with common null space

K. M. Soodhalter, A note on augmented unprojected Krylov subspace
methods

D. Simonova and P. Tichy, When does the Lanczos algorithm compute
exactly?

M. Ramezani, R. Mokhtari, and G. Haase, Analysis of stability and
convergence for L-type formulas combined with a spatial finite element
method for solving subdiffusion problems

G. Barbarino, C. Garoni, M. Mazza, and S. Serra-Capizzano, Rectangular
GLT sequences

L. Meng, A contribution to the conditioning of the mixed least-squares
scaled total least-squares problem

K. Kumar Pandey and P. Veedu Viswanathan, Multivariate fractal
interpolation functions: Some approximation aspects and an associated
fractal interpolation operator

X. Zheng and H. Wang, A time-stepping finite element method for a
time-fractional partial differential equation of hidden-memory
space-time variable order

K. Atkinson, D. Chien, and O. Hansen, Constructing diffeomorphisms
between simply connected plane domains

A. El Haman Abdeselam, A. Napov, and Y. Notay, Porting an
aggregation-based algebraic multigrid method to GPUs

M. Gonzalez and H. Varela, A posteriori error estimates for stabilised
mixed finite element methods for a nonlinear elliptic problem

J.-P. Berrut and G. Elefante, A linear barycentric rational
interpolant on starlike domains

J. C. Garay, F. Magoules, and D. B. Szyld, Synchronous and
asynchronous optimized Schwarz methods for Poisson's equation in
rectangular domains


From: Irena Lasiecka lasiecka@memphis.edu
Date: September 28, 2022
Subject: Contents, Evolution Equations and Control Theory, 11 (6)


Volume 11, Nr 6 of EECT [Evolution Equations and Control Theory] has
been published. The content is given below.
https://www.aimsciences.org/journal/A0000-0000/2022/11/6

1. A shape optimization problem constrained with the Stokes equations
to address maximization of vortices, John Sebastian Simon and Hirofumi
Notsu

2.The influence of the physical coefficients of a Bresse system with
one singular local viscous damping in the longitudinal displacement on
its stabilization, Mohammad Akil and Haidar Badawi

3. Invariant measure for neutral stochastic functional differential
equations with non-Lipschitz coefficients, Andriy Stanzhytsky,
Oleksandr Misiats and Oleksandr Stanzhytskyi

4. Blow-up of solutions to semilinear wave equations with a time-
dependent strong damping, Ahmad Z. Fino and Mohamed Ali Hamza

5.From low to high-and lower-optimal regularity of the SMGTJ equation
with Dirichlet and Neumann boundary control, and with point control,
via explicit representation formulae, Roberto Triggiani and Xiang Wan

6. Exponential stability and stabilization of fractional stochastic
degenerate evolution equations in a Hilbert space: Subordination
principle, Arzu Ahmadova, Nazim I. Mahmudov and Juan J. Nieto

7.Blow-up of solutions to a viscoelastic wave equation with nonlocal
damping, Donghao Li, Hongwei Zhang, Shuo Liu and Qingiyng Hu

8. Controller and asymptotic autonomy of random attractors for
stochastic p-Laplace lattice equations, Li Song, Yangrong Li and
Fengling Wang

9. Pullback attractors for weak solution to modified Kelvin-Voigt
model, Mikhail Turbin and Anastasiia Ustiuzhaninova

10. Impulsive conformable fractional stochastic differential equations
with Poisson jumps, Hamdy M. Ahmed

11. Attractors for a class of extensible beams with strong nonlinear
damping, Eduardo Henrique Gomes Tavares and Vando Narciso

12. On analytic semigroup generators involving Caputo fractional
derivative, Piotr Grabowski

13. Optimal control of mixed local-nonlocal parabolic PDE with
singular boundary-exterior data, Jean-Daniel Djida, Gisele Mophou and
Mahamadi Warma

14. Telegraph systems on networks and port-Hamiltonians. b. Explicit
representation and long-term behaviour, Jacek Banasiak and Adam BBoch

15. Well-posedness and stability of non-autonomous semilinear input-
output systems, Jochen Schmid

16. Boundedness of solutions in a quasilinear chemo-repulsion system
with nonlinear signal production, Runlin Hu, Pan Zheng and Zhangqin
Gao

2021 Impact Factor: 1.169
5 Year Impact Factor: 1.294
2021 CiteScore: 2

End of Digest