NA Digest, V. 22, # 34

NA Digest Sunday, October 16, 2022 Volume 22 : Issue 34


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

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From: Walter Gander gander@inf.ethz.ch
Date: October 12, 2022
Subject: Christian Reinsch


We have to tell you the sad news that Christian Reinsch (1934-2022)
passed away on Sat October 8. Reinsch was trained as a physicist and
became an outstanding numerical mathematician. His career started in
the sixties when F. L. Bauer nominated him to be the tester for the
contributions for Volume II (Wilkinson-Reinsch: Linear Algebra) of the
Handbook Series of Springer Verlag. He developed famous algorithms
among them e.g. "Smoothing by spline functions". A program to
compute the FFT offered to Siemens was refused with the argument that
"this cannot be FFT, there is no call of a sine or cosine
function". The implementation using recurrence relations was so
cleverly done that the computation turned out to be a sequence of
rational operations plus n square-roots. Most of his contributions are
in the field of numerical linear algebra with a focus on the
eigenvalue problem. The famous Golub-Reinsch SVD algorithm, cited
over 4'000 times, was created by Reinsch. Reinsch was a modest
person, living alone in his house near Munich, affiliated all his life
with TU Munich and the Leibniz-Computer Center of the Bavarian Academy
of Sciences and Humanities in Munich where he was responsible for the
program library in numerical mathematics and graphics. He has turned
down several calls for professorships, even one by Heinz Rutishauser
to join ETH, always with self-doubts as to whether he was up to the
task. Walter Gander and Christoph Zenger


From: Rujuan Ding dingrj@lsec.cc.ac.cn
Date: October 13, 2022
Subject: Feng Kang Prize Announcement


The Committee of Feng Kang Prize of Scientific Computing is seeking
applications and nominations for 2023 year. The prize is awarded every
other year to young Chinese Scientists under the age of fifty in China
and abroad for their outstanding researches in numerical analysis and
scientific computing. Application forms can be obtained by anonymous
ftp from http://lsec.cc.ac.cn/fengkangprize/contact.html

Deadline for applications and nominations is MARCH 15, 2023.

Please send all materials to:
Ms. Ru-Juan Ding
Institute of Computational Mathematics
No.55, East Road, Zhong-Guan-Cun, Beijing 100190, CHINA
Email: dingrj@lsec.cc.ac.cn


From: Jonas Schiessl Jonas.Schiessl@uni-bayreuth.de
Date: October 14, 2022
Subject: New Python Software nMPyC


We are proud to announce the release of nMPyC!

nMPyC is a Python library for solving optimal control problems via
model predictive control (MPC).

nMPyC can be understood as a blackbox method, which aims to provide a
simple syntax for the problem formulation in Python. The user can
only enter the desired optimal control problem without having much
knowledge of the theory of model predictive control or its
implementation in Python. Nevertheless, for an advanced user, there is
the possibility to adjust all parameters.

This library supports a variety of discretization methods and
optimizer including symbolic and numerical frameworks.

Detailed information can be found at
https://nmpyc.readthedocs.io/en/latest/index.html


From: GEORGE A. ANASTASSIOU ganastss@memphis.edu
Date: October 12, 2022
Subject: New Book, Neural Networks Approximation


Neural Networks Approximation Monograph just published
by George Anastassiou at Springer:
https://link.springer.com/book/10.1007/978-3-031-16400-2


From: Anne Reinarz anne.k.reinarz@durham.ac.uk
Date: October 14, 2022
Subject: Workshop on UM-Bridge, ONLINE, Dec 2022


We are planning a two-day online workshop on UM-Bridge. UM-Bridge is a
new language-agnostic software interface allowing to couple any
Uncertainty Quantification (UQ) package to any numerical model
software. It further enables unified UQ benchmarks as well as running
HPC-scale UQ applications in the cloud.

This workshop has the following goals:
- Teach how to use UM-Bridge
- Initiate new collaborations between UQ and model experts
- Advance the UQ software ecosystem through common interfaces, unified
benchmarks and access to cloud-based HPC

It will take place on December 12 and December 13. Registration is
available until Thursday, November 17. You find the registration form
as well as further details on UM-Bridge and our workshop at the
following website: https://um-bridge.github.io/workshop/


From: David Ham david.ham@imperial.ac.uk
Date: October 10, 2022
Subject: Firedrake Workshop, UK, Jan 2023


The next Firedrake users and developers workshop will be held at
Dartington Hall in Totnes, UK from 4-6 January 2023.

This is an opportunity to present your work on or using Firedrake and
related numerical software packages, and to meet and collaborate with
the wider Firedrake community. Abstracts are due by 18 November and
you can find more information at:
https://firedrakeproject.org/firedrake_22.html

I look forward to seeing many of you there.


From: Dilmurat Azimov azimov@hawaii.edu
Date: October 13, 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 (no more than two pages of 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: Martin Benning m.benning@qmul.ac.uk
Date: October 10, 2022
Subject: Data-driven Inverse Problems, Germany, Apr 2023


Various key problems in biomedical imaging can be modeled as inverse
problems (e.g. single image super-resolution, undersampling in
magnetic resonance imaging, limited angle tomography, registration,
segmentation). Numerous deep learning-inspired methods to tackle
these inverse problems have been developed in recent years, often
redefining the state of the art.

The Hausdorff School on Data-driven Inverse Problems in Biomedical
Imaging focuses on several mini-courses that explore this topic from
both theoretical and applied perspectives.

The school is aimed at PhD students and postdocs and takes place
between April 11 - 14, 2023, at the Lipschitz lecture hall,
Mathematics Center, Endenicher Allee 60, 53115 Bonn, Germany.

List of speakers: Tatiana Bubba, Jan Modersitzki, Marcelo Pereyra,
Thomas Pock

Please send applications via
https://www.hsm.uni-bonn.de/events/hausdorff-schools/biomedical-imaging2023/biomed-2023-app/.

Limited financial support for travel and accommodation expenses may be
available for PhD students and postdocs. There are no participation
fees. To be considered for participation, a CV and Letter of Intent
(1 page) are required, as well as the name and contact information of
a potential reference. (At this time, we do not request a letter of
recommendation.) Only one document can be uploaded, so please combine
all documentation into one PDF. Please note: Everyone interested in
participating - disregarding whether there is need for financial
support or not - has to register so that the participation may be
administered. Everyone will be notified in due time about whether
participation and partial financial support is possible. The deadline
for applications is January 1, 2023. In case of questions, please
contact the organizers at sek-effland(at)iam.uni-bonn.de


From: Paola Lamberti paola.lamberti@unito.it
Date: October 14, 2022
Subject: MACMAS, Italy, May-Jun 2023


It is our pleasure to announce the second edition of the International
Conference on Mathematical and Computational Modelling, Approximation
and Simulation -- New trends, recent developments and applications in
environment and natural resources (MACMAS 2023). The conference will
be held in Torino (Italy) from May 29th to June 1st, 2023. The
previous MACMAS Conference took place in Granada in 2019.

Topics of interest include, but are not limited to: Approximation and
modeling applied to environment sciences and natural resources; New
applications and developments in approximation methods; Numerical
methods for partial differential equations; Numerical methods for
nonlinear problems; Mathematical methods in image processing;
Optimization methods and applications to natural phenomena;
Computational statistics and applications; Mathematics and computation
in geosciences; Mathematical analysis of models in porous media; and
Stochastic partial differential equations.

Invited Speakers: Costanza Conti, University of Firenze (Italy);
Rachid Jennane, University of Orleans (France); Juan Manuel Pena
Ferrandez, University of Zaragoza (Spain); Juan Soler, University of
Granada (Spain); Tatyana Sorokina, Towson University (USA).

For further information about the conference, please visit the website
http://www.macmas2023.unito.it


From: Krassimir Georgiev georgiev@parallel.bas.bg
Date: October 12, 2022
Subject: Large-scale Models, Bulgaria, Jun 2023


Special Session on Large-scale Models: Numerical Methods, Parallel
Computations and Applications will be organized during the 14th
International Conference on Large-Scale Scientific Computations
(LSSC'23). The conference will take place in Sozopol (a very nice
resort town on the Black Sea coast of Bulgaria) from June 5 to June 9,
2023 (see more details:
http://parallel.bas.bg/Conferences/SciCom23/). Proceedings will be
published in the distinguish Springer Series: Lecture Notes in
Computer Science. Extended papers from this session will probably be
published (as was done in the previous conferences) in an
international journal with high index.

Important deadlines:
- Deadline for submission of abstracts: January 15, 2023
- Notification of acceptance of the talks: January 31, 2023
- Deadline for registration: February 15, 2023
- Deadline for submission of full papers: March 1, 2023

An online registration will be opened.

E-mails: scicom23@parallel.bas.bg; georgiev@parallel.bas.bg;
zz@envs.au.dk


From: Ad=E9lia Sequeira adelia.sequeira@tecnico.ulisboa.pt
Date: October 12, 2022
Subject: ENUMATH 2023, Portugal, Sep 2023


The Local Organising Committee is delighted to welcome you to the
ENUMATH 2023 conference to be held in Lisbon, Portugal, on September
4-8, 2023. This conference is organised by the Instituto Superior
Tecnico, University of Lisbon, and will take place at its Congress
Center.

The European Conferences on Numerical Mathematics and Advanced
Applications (ENUMATH) are a forum for the presentation and discussion
of novel aspects and fundamental advances in numerical mathematics and
challenging scientific and industrial applications on the highest
level of international expertise.

We look forward to welcoming you to Lisbon! ENUMATH 2023 is intended
to be an in-person event. A hybrid conference format is not foreseen.

First important dates:
- October 31, 2022 - February 4, 2023: Online submission of abstracts
for minisymposia proposals
- March 15, 2023: Notification of acceptance of minisymposia proposals

More information can be found at the conference website
https://enumath2023.com/


From: Naoki Saito saito@math.ucdavis.edu
Date: October 10, 2022
Subject: Faculty Position, Data Science/ML, ECE, UC Davis


The Department of Electrical and Computer Engineering (ECE) at the
University of California, Davis, has a faculty opening in Data Science
and Machine Learning. Candidates with strong interest and leadership
skills to bridge data science research with multiple technical
disciplines as well as application domains such as health and
connected and autonomous systems are encouraged to apply for this
position. The full description of the position can be found at our
recruitment page: https://recruit.ucdavis.edu/JPF05160

For full consideration, applicants should apply by December 1, 2022.
Applications from members of under-represented groups are particularly
welcomed.


From: Pierre-Antoine Absil pa.absil@uclouvain.be
Date: October 13, 2022
Subject: Faculty Position, UCLouvain, Belgium


UCLouvain invites applications for an academic position in
computational mathematics and data science.

The application deadline is Monday 14 November 2022 at noon (UTC+1
Time Zone). The position is expected to start on 1 September 2023.

UCLouvain is a comprehensive university offering, in the context of
the present position, the opportunity of cross-disciplinary research
and teaching collaborations. Within the Science and Technology Sector,
the position is attached to the Louvain School of Engineering and to
the Institute for Information and Communication Technologies,
Electronics and Applied Mathematics that offer opportunities for
diverse and stimulating teaching as well as an environment to carry
out ambitious research.

Further information can be found at
https://uclouvain.be/en/research-institutes/icteam/vacancies.html


From: Olmo Zavala Romero osz09@fsu.edu
Date: October 10, 2022
Subject: Tenure-Track Position, Computational Science, Florida State Univ


The Department of Scientific Computing at Florida State University
invites applications for a tenure-track Assistant Professor position
for nine-month appointments beginning August 2023. Academic year
requirements include teaching, research, and service. The Department
of Scientific Computing is a self-contained university unit, whose
faculty members consist of biologists, computer scientists, engineers,
geneticists, material scientists, mathematicians, and physicists. Such
a varied representation among disciplines creates rich opportunities
for research and collaboration within the Department and with other
research centers across Florida State University. The Department
offers undergraduate and graduate programs in computational science
that provide students with innovative, hands-on, multi-disciplinary
training. The successful candidate is expected to develop an
interdisciplinary research group in data assimilation or optimal
control in application to problems in natural sciences and/or
engineering, secure external funding, participate and organize
scientific initiatives and consortia, and develop and teach new
courses in scientific computing and relevant application areas. The
successful candidate will have earned a Doctoral degree or the highest
degree appropriate from an accredited institution in the fields of
Computational Science, Computer Science, Data Science, Engineering,
Mathematics, Natural Sciences, Social Sciences, Statistics, or related
field with a demonstrated record of achievement in academic research
and teaching. The candidate should possess the knowledge necessary to
develop and teach courses among the areas of optimization, data
assimilation, and differential equations.

If qualified and interested, apply to Florida State University at:
https://hr.fsu.edu/facultyjobs , Job Opening ID 53143,

Please submit: Cover letter, CV, Statement of teaching, research and
service. Screening of applications will begin on November 1,
2022. Applications will be accepted until the position is filled.

Contact: Faculty Search Committee, recruit@sc.fsu.edu


From: Naoki Saito saito@math.ucdavis.edu
Date: October 10, 2022
Subject: Tenure-Track Position, Mathematics of Data Science, UC Davis


The Department of Mathematics at the University of California, Davis
invites applications for one Assistant Professor (tenure-track)
faculty position starting July 1, 2023. This position is in the area
of the mathematics of data science. Applications include: Cover
Letter, CV, Research Statement, Teaching Statement, Letters of
Reference and a Statement of Contributions to Diversity. Additional
information about the Department may be found at
http://www.math.ucdavis.edu. Applications will be accepted until the
position is filled. To guarantee full consideration, the application
should be received by November 1, 2022. The application is available
through UCRecruit @ https://recruit.ucdavis.edu/JPF05108.

The University of California is committed to creating and maintaining
a community dedicated to the advancement, application, and
transmission of knowledge and creative endeavors through academic
excellence, where all individuals who participate in University
programs and activities can work and learn together in a safe and
secure environment, free of violence, harassment, discrimination,
exploitation, or intimidation. With this commitment, UC Davis conducts
a reference check on all first choice candidates for Academic Senate
Assistant Professor or Lecturer with Potential for Security of
Employment, Steps 4, 5, or 6, or Acting Professor of Law
positions. The reference check involves contacting the administration
of the applicant's previous institution(s) to ask whether there have
been substantiated findings of misconduct that would violate the
University's Faculty Code of Conduct. To implement this process, UC
Davis requires all applicants for any open search for assistant
professor to complete, sign, and upload the form entitled
"Authorization to Release Information" into RECRUIT as part of their
application. If an applicant does not include the signed authorization
with the application materials, the application will be considered
incomplete, and as with any incomplete application, will not receive
further consideration. Although all applicants for faculty
recruitments must complete the entire application, only finalists
considered for Academic Senate Assistant Professor or Lecturer with
Potential for Security of Employment, Steps 4, 5, or 6, or Acting
Professor of Law positions will be subject to reference checks.
Department: https://math.ucdavis.edu


From: Daniel Szyld szyld@temple.edu
Date: October 10, 2022
Subject: Assistant Professor Position, Temple Univ, USA


The official ad is at the link below. In particular recent PhDs,
preferably with postdoc experience in Computational and Applied
Mathematics, including Numerical Linear Algebra, different aspects of
Numerical PDEs, math bio, modeling, etc. are encouraged to apply.

We have a very active and dynamic applied and computational group with
room to grow (see https://math.temple.edu/research/groups/applied/ )

You can write to me for any questions, or the address in the ad.

Ad at Mathjobs:
https://www.mathjobs.org/jobs/list/21042

Daniel Szyld
szyld@temple.edu


From: John Mitchell mitchj@rpi.edu
Date: October 12, 2022
Subject: Assistant/Associate Professor Position, RPI, USA


Department of Mathematical Sciences
Rensselaer Polytechnic Institute, Troy, New York

Applications are invited for one or more tenure-track positions as an
Assistant or Associate Professor in applied mathematics to begin in
August 2023. Assistant Professor candidates must have a Ph.D., or
foreign degree equivalent, in mathematics or applied mathematics, or a
closely related discipline, along with the ability to demonstrate,
through their record of accomplishments, promise of future distinction
in scholarship and education. Suitable candidates can be considered
for a position as a tenured Associate Professor. Such candidates, in
addition to the requirements for an Assistant Professor, must have an
established record of high-quality education and service, and national
prominence and emerging international prominence in research. All
successful candidates will be expected to develop and maintain a
robust program of externally funded research, to teach courses in the
department at the undergraduate and graduate levels, and to provide
academic and professional service. Please visit
https://science.rpi.edu/mathematical-sciences for more information
about the department.

We welcome candidates with a commitment to applied mathematics and
interdisciplinary research. Of particular interest are candidates
whose work involves one or more of the following areas: mathematical
optimization, mathematical foundations of data science or machine
learning, modeling and novel computational approaches for challenging
problems with societal or technological impact in such areas as
energy, quantum computing, health, and climate and environmental
sciences, among others. Applicants must submit a cover letter,
curriculum vita, research and teaching statements, and three letters
of recommendation to MathJobs.Org. Full consideration will be given
to applications received by October 15, 2022, and applications
received after that date will continue to be evaluated until the
positions are filled.

COVID-19 Pandemic Protocols: Rensselaer requires all faculty and staff
to be vaccinated (and boosted when eligible) against
COVID-19. Requests for exemptions for medical or religious reasons
will be evaluated on a case-by-case basis. We welcome candidates who
will bring diverse cultural, ethnic, national and international
perspectives to Rensselaer's work and campus communities. Rensselaer
Polytechnic Institute is an Affirmative Action/Equal Opportunity,
Race/Gender/Veterans/Disability Employer.


From: Mapundi Banda mapundi.banda@up.ac.za
Date: October 15, 2022
Subject: Lecturer Position, Mathematics of Finance, South Africa


A vacant post exists for an appointment of a lecturer/senior lecturer
in the field of Mathematics of Finance, compatible with the research
profile of the Department of Mathematics and Applied Mathematics at
the University of Pretoria in South Africa.

The successful candidate will be required to:
- to lecturer at undergraduate and postgraduate level
- to conduct research in mathematics of finance
- to supervise postgraduate students
- to participate in departmental administration
- to participate in community engagement

For more details, see
https://www.up.ac.za/human-resources-department/article/257103/careersup


From: Des Higham d.j.higham@ed.ac.uk
Date: October 16, 2022
Subject: Fellowship Position, Univ of Edinburgh, UK


The School of Mathematics at the University of Edinburgh is
advertising the Flora Philip Fellowship; a new 4 year independent
position for early career researchers from under-represented
backgrounds. Closing date for applications is 24th November 2022.

Details at
https://www.maths.ed.ac.uk/school-of-mathematics/jobs/flora-philip-fellowship


From: Kelly Tagle kelly.tagle@oden.utexas.edu
Date: October 13, 2022
Subject: Postdoc Fellowship Position, Oden Institute, UT Austin


The Oden Institute believes postdoctoral researchers are vital to the
Institute's work. As a result, an endowment was donated as funding for
the Postdoctoral Fellowship Program. The generous fund allows the
Institute to attract outstanding computational scientists who have
recently completed doctoral studies in areas relevant to research
conducted at the Institute. Fellowship stipends are $72,000 per
year. In addition, fellows receive UT employee benefits and relocation
expenses up to $1,000. Under the terms of the endowment, preference
is given to applicants who are U.S. citizens, but qualified foreign
students will also be considered. Candidates must display a
significant ability to contribute to interdisciplinary research
efforts in the areas of computational engineering, scientific and
mathematical modeling, computational and applied mathematics, and
computational visualization. In general, fellowship recipients
collaborate in research under the supervision of one or more Oden
Institute faculty members for one year. The fellowship may be extended
for an additional year, depending on performance and availability of
funds.

Application materials: Completed application:
https://www.oden.utexas.edu/static/research/postdoc-fellowship/ODEN_Postdoc_Fellowship_App.pdf
; Letter of interest addressed to the Director of the Oden Institute,
Karen Willcox; Narrative of proposed work in interdisciplinary
research in computational science, engineering and applied
mathematics, including the name(s) of the Oden Institute core faculty
member(s) with whom you are interested in working. This statement
should not exceed two pages. (Candidates are encouraged to contact
Oden Institute core faculty members regarding research interests in
their area of expertise - browse a full list of core faculty.);
Curriculum Vitae; and Three letters of recommendation.

Applications are due December 16, 2022 (late submissions will not be
considered). All applicants will be notified of the evaluation
committee's decision by the beginning of February. Please upload
applications and PDF documents to this secure Box folder:
https://www.oden.utexas.edu/uploads/ . Recommendation letters can be
uploaded or sent by email to kelly.tagle@oden.utexas.edu, and must be
sent directly by the composer/signee. Please see our website for more
information:
https://www.oden.utexas.edu/research/programs-and-awards/odonnell-jr-postdoc-fellowship/


From: Idoia Hernandez recruitment@bcamath.org
Date: October 13, 2022
Subject: Postdoc Position, DL for Structural Health Monitoring, IA4TES


Basque Center for Applied Mathematics is offering a Postdoctoral
position to work in Deep Learning for Structural Health Monitoring in
the framework of IA4TES project (Inteligencia Artificial para la
Transicion Energetica Sostenible ) with Dr David Pardo and Dr Vincenzo
Nava in MATHDES group at BCAM. The researcher will work in Deep
Learning, Structural Health Monitoring and Inverse Problems.

Deadline: 27 October 2022
Applications at:
http://www.bcamath.org/en/research/job/ic2022-09-postdoctoral-fellow-on-deep-learning-for-structural-health-monitoring
Contract: 1 year with possible extension

Requirements: Applicants must have their Ph.D. completed or defended
in an area of sciences before the contract starts

Skills: Good interpersonal skills. Fluency in spoken and written
English. A proven track record in quality research, as evidenced by
research publications in top scientific journals and conferences.
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, including industrial
partners. Project proposal writing skills.

The preferred candidate will have: Strong background in Deep Learning
techniques for Structural Health Monitoring. Understanding on the
existing works on using Deep Learning techniques for Structural Health
Monitoring. Background in Inverse Problems. Good programming skills
in Python and preferably, also Tensorflow. Interest and disposition
to work in interdisciplinary groups.


From: Thomas Strohmer strohmer@math.ucdavis.edu
Date: October 09, 2022
Subject: Postdoc Position, Machine Learning, UC Davis


Applications are invited for a Postdoctoral Position in Multimodal
Machine Learning at the Department of Mathematics at the University of
California, Davis in the research group of Prof. Thomas Strohmer. The
position, which is part of the NIH funded interdisciplinary project
"Heterogenous, dynamic synthetic data: From algorithms to clinical
applications", is full time, limited to two years, and does not
involve any teaching duties. This research project is concerned with
the development of machine learning tools for multimodal medical data
(time series, images, tabular data, etc.).

Candidates with a high-level of competence in data science and machine
learning, very good programming skills, as well as a strong interest
in interdisciplinary research and real-world applications are
particularly encouraged to apply. A minimum requirement for this
position is a PhD in Mathematics, or a related field. The annual
salary is starting at about $66,000.

Applications include: Cover Letter, CV, Research Statement, and three
Letters of Reference. Applications will be accepted until the position
is filled. To guarantee full consideration, the application should be
received by November 30, 2022. The application is available through
Mathjobs: https://www.mathjobs.org/jobs/list/20989.

The University of California, Davis, is an affirmative action/equal
opportunity employer with a strong institutional commitment to the
achievement of diversity among its faculty and staff.


From: Alexander Kurganov alexander@sustech.edu.cn
Date: October 15, 2022
Subject: Postdoc Position, SUSTech


Job Type: Postdoc
Duration: 2 years
Number of Positions: 2
Salary: from 330000 RMB per year (depending on qualification and is
negotiable)
Language Requirement: English
Citizenship: No restriction
Teaching Duties (in either English or Chinese): 1+0 or 0+1
Closing Date: Open until filled

Description: 2 postdoc positions are available in the research group
of Professor Alexander Kurganov. He has many different projects mostly
related to the development of modern numerical methods for hyperbolic
systems of conservation and balance laws. Active collaboration with
his international colleagues and within his research group at SUSTech
is highly encouraged

If you are are interested in this position please send your CV to
Prof. Alexander Kurganov via email at alexander@sustech.edu.cn


From: Esmond G. Ng EGNg@lbl.gov
Date: October 10, 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 (i.e., no
earlier than January 1, 2020 and no later than September 30, 2023) 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/.

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: Lindsey Bruckerhoff lindsey.bruckerhoff@okstate.edu
Date: October 13, 2022
Subject: Postdoc Positions, Ecological Modeling, Oklahoma State Univ


The Freshwater Community Ecology Lab at Oklahoma State University is
seeking 2 Post-doctoral Research Associates to investigate fish
population dynamics. One project is focused on predicting native and
non-native fish responses to future climate conditions and management
actions in the Colorado River basin. This project will work closely
with Dr. Charles Yackulic (USGS) and an interdisciplinary team of
researchers and state/federal managers. The second project will work
closely with U.S. Forest Service and U.S. Fish and Wildlife Service
to identify drivers of native darter occupancy and abundance in the
Ouachita Highlands and develop a long-term research plan. Both
projects will integrate multiple data types and modeling approaches to
link long-term fish responses to environmental variability. Some
travel may be required to work with collaborators or visit field sites
in Colorado, Utah, Arizona, and Oklahoma.

We encourage all interested people to apply despite preconceived
notions of their own experience as it relates to the project
objectives.

The Freshwater Community Ecology Lab and Oklahoma Cooperative Fish and
Wildlife Research Unit is committed to diversity, equity, and
inclusion. We are committed to fostering an environment where
diversity of background and thought is accepted and encouraged.

For more specific information about the projects, please contact
lindsey.bruckerhoff@okstate.edu and check out
https://freshwaterecolab.wixsite.com/my-site/opportunities .


From: Tony Stillfjord tony.stillfjord@math.lth.se
Date: October 14, 2022
Subject: Postdoc Positions, Lund Univ, Sweden


Three 2-year postdoc positions are available at the Centre for
Mathematical Sciences, Lund University, Sweden. One in each of the
following projects:

Locally Adaptive Methods for Free Discontinuity Problems (contact
Andreas Langer, andreas.langer@math.lth.se)

Randomized time stepping schemes (contact: Monika Eisenmann,
monika.eisenmann@math.lth.se)

Convergence analysis of neural/universal differential equations
(contact: Tony Stillfjord, tony.stillfjord@math.lth.se)

For more information on the projects and instructions on how to apply,
please see
https://lu.varbi.com/en/what:job/jobID:547008/type:job/where:4/apply:1.


From: Vladislav Bukshtynov vbukshtynov@fit.edu
Date: October 14, 2022
Subject: PhD Position, Applied Mathematics, Florida Tech


An opening for a graduate (Ph.D.) student is anticipated in Dr.
Bukshtynov's research group at the Florida Institute of Technology
(Florida Tech) starting in January (preferred) or August 2023. The
focus of this position will be research on mathematical and
computational modeling of physical and biomedical processes that occur
in bioprinted grafts while pursuing their optimal design to promote
tissue vascularization. This position is intended for a student with a
strong background in applied/computational mathematics, mathematical
modeling, optimization as well as scientific computing and who is
interested in exploring rapidly developing application areas in
various medical applications. This Ph.D. position will be supported by
the GSA/TA (graduate student or teaching assistantship) contract
and/or research assistantship subject to the performance in both
research and the course load. Details concerning application
procedures are available at the web address
https://www.fit.edu/admissions/applying/graduate/

Interested candidates may also contact

Dr. Vladislav Bukshtynov
Department of Mathematical Sciences
Florida Institute of Technology
150 W. University Blvd
Melbourne, FL 32901, US
Phone: +1 (321) 674-7157
Email: vbukshtynov@fit.edu
URL: www.bukshtynov.xyz
www.fit.edu/faculty-profiles/b/bukshtynov-vladislav/

for additional information.


From: Yonghui Yu yyu@lsec.cc.ac.cn
Date: October 10, 2022
Subject: Contents, J Computational Mathematics, 40 (5)


Journal of Computational Mathematics, Volume 40 (2022), Issue 5
https://www.global-sci.org/intro/articles_list/jcm/2255.html

CONTENTS

Two-grid Algorithm of H1-Galerkin Mixed Finite Element Methods for
Semi-linear Parabolic Integro-differential Equations, Tianliang Hou,
Chunmei Liu, Chunlei Dai, Luoping Chen and Yin Yang

A Discretizing Levenberg-Marquardt Scheme for Solving Nonliear Ill-
posed Integral Equations, Rong Zhang and Hongqi Yang

Heavy Ball Flexible GMRES Method for Non-symmetric Linear Systems, Mei
Yang and Ren-Cang Li

Penalty-factor-free Stabilized Non-conforming Finite Elements for
Solving Stationary Navier-Stokes Equations, Linshuang He, Minfu Feng
and Qiang Ma

Primal-dual Path-following Methods and the Trust-region Updating
Strategy for Linear Programming with Noisy Data, Xinlong Luo and Yiyan
Yao

Analysis of a Fully Discrete Finite Element Method for Parabolic
Interface Problems with Nonsmooth Initial Data, Kai Wang and Na Wang

A Characteristic Mixed Finite Element Two-grid Method for Compressible
Miscible Displacement Problem, Hanzhang Hu and Yanping Chen

Analysis of a Multi-Term Variable-order Time-fractional Diffusion
Equation and Its Galerkin Finite Element Approximation, Huan Liu,
Xiangcheng Zheng and Hongfei Fu

End of Digest