________________________________________
From: NA-Digest on behalf of NA Digest Editor
Sent: Sun, 25 Jul 2021 20:05:26 -0600
To:
[NADIGEST] NA Digest, V. 21, # 28

Subject: NA Digest, V. 21, # 28


NA Digest Sunday, July 25, 2021 Volume 21 : Issue 28


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: Stephen Moore stephen.moore@ucc.edu.gh
Date: July 23, 2021
Subject: Ghana Numerical Analysis Day, ONLINE, Aug 2021


Ghana Numerical Analysis invites you to its maiden Ghana Numerical
Analysis Day (ONLINE) from August 25-26, 2021.

The goal of this workshop is to inform about research activities in
the areas of numerical analysis and applied mathematics. Students,
post-docs, faculty and scientists from Ghanaian universities and other
research institutions are invited to present their results/interests
and discuss their ideas. Apart from strengthening already established
contacts, this workshop also hopes to provide an opportunity to start
new collaborations. It will be a two-day event with contributed talks
of 20 minutes including questions and 5 minutes for Poster
presentation.

There is no registration fee, however, all interested participants are
required to register.

Registration to participate via online platform and to receive the
link is open on the workshop website via
https://sites.google.com/view/ghananumericals/workshops-conferences/ghana-numerical-analysis-day-2021

The application deadline is August 14, 2021.

From: Pamela Bye pam.bye@ima.org.uk
Date: July 22, 2021
Subject: Induction Course for New Lecturers, HYBRID, Sep 2021


Induction Course for New Lecturers in the Mathematical Sciences 2021,
HYBRID, 8 - 9 September 2021, Isaac Newton Institute for Mathematical
Sciences, 20 Clarkson Road, Cambridge, CB3 0EH, UK
https://ima.org.uk/13572/induction-course-for-new-lecturers-in-the-mathematical-
sciences-2021/

Through a community initiative supported by the Institute of
Mathematics and its Applications, the Isaac Newton Institute for
Mathematical Sciences and endorsed by the Edinburgh mathematics
society, Royal Statistical Society, the London Mathematical Society
and the Operational Research Society, we are delighted to announce
that in September 2021 the two-day Induction Course for lecturers new
to teaching mathematics and statistics within Higher Education will
once again take place. Whilst arrangements may still be subject to
change due to the ongoing Covid-19 situation and any future Government
guidance, we are currently preparing for the Induction Course to be
delivered as a hybrid model with the option for some delegates to
attend in person.

The Induction Course for New Lecturers in the Mathematical Sciences
has been designed by the mathematics community so that it is ideally
suited for anyone who is new to or has limited experience teaching
mathematics or statistics within UK higher education. It will be
delivered by individuals with significant experience of teaching in
the mathematical sciences and will focus upon the specific details and
issues that arise in mathematics and statistics teaching and learning
within higher education including topics such as: Lecturing;
Supporting student learning; Making teaching interactive; Assessment,
examinations and feedback; Linking teaching & research; Using
technology to enhance teaching and learning; Using examples and
mathematical problem solving.

Registration is currently open at https://my.ima.org.uk/

From: Massimiliano Fasi massimiliano.fasi@oru.se
Date: July 24, 2021
Subject: Matrix Equations and Tensor Techniques, Italy, Sep 2021


The abstract submission deadline for the upcoming ninth edition of the
Matrix Equations and Tensor Techniques Workshop (METTIX) has been
extended to 11 August 2021. The event will be held on Thursday and
Friday 9-10 September 2021. We are currently planning for a hybrid
meeting including remote contributions alongside in-person
presentations delivered at the Department of Mathematics and Computer
Science of the University of Perugia, Italy. Should restrictions on
gatherings and travel make a hybrid event impossible, the conference
will be held virtually.

The focus will be on recent theoretical and computational advances in
the solution of tensor problems and linear and nonlinear matrix
equations. We are pleased to announce that the workshop will feature
two keynote lectures by Dario A. Bini (University of Pisa, Italy) and
Lieven De Lathauwer (KU Leuven, Belgium).

Registration is free of charge and attendees are invited to contribute
an abstract. Additional information on the meeting, including
deadlines and abstract submission procedure, is available at

http://mettconference.cloud

From: Emad nahid.emad@uvsq.fr
Date: July 24, 2021
Subject: Tribute to Françoise Chatelin, France, Oct 2021


Virtual & Face to Face event @Cerfacs (Toulouse, France)
10/14/2021, 2:00 p.m. - 6:30 p.m.

CERFACS is organizing a half scientific day on October 14, 2021 in
tribute to Françoise Chatelin who left us prematurely on May 14, 2020.

All information is available here: https://memoriam-chatelin.cerfacs.fr/en/
memoriam-chatelin - Un site utilisant Réseau Cerfacs
Virtual & Face to Face event @ Cerfacs
October 14th 2021, CERFACS, Toulouse (France) 2 pm - 6.30 pm .
Cerfacs is organizing a half scientific day on Thursday October 14, 2021
in tribute to Françoise Chatelin who left us prematurely on May 14, 2020
memoriam-chatelin.cerfacs.fr


From: Martin Schmidt martin.schmidt@uni-trier.de
Date: July 21, 2021
Subject: Research Assistant Position, Trier Univ


JOB ADVERTISEMENT at TRIER UNIVERSITY

In the Faculty IV (Department of Mathematics) at Trier University, the
position of a research assistant (f/m/d) in optimization is to be
filled starting from November 2021. Remuneration is based on the
salary group E 13 TV-L (100%) and the position is filled for an
initial period of three years. The tasks include the support of the
professorship "Nonlinear Optimization" in research and teaching as
well as the participation in the organization of the
professorship. The opportunity for a doctorate is given.

The working group "Nonlinear optimization" is mainly concerned with
mixed-integer nonlinear optimization as well as equilibrium
problems. We study theoretical properties of these problem classes and
develop algorithms to solve both mixed-integer nonlinear optimization
and equilibrium problems. Many of the current questions in the working
group are motivated by technical-physical or economic aspects in the
field of energy, such as, for example, the cost-effective control of
gas transport networks or the analysis of electricity trading in
Germany and Europe. The applicant is expected to enjoy working in an
international team and to enjoy applied mathematical research. We also
expect the candidate to be able to work independently, to be reliable
and willing to work in an interdisciplinary environment, as well as to
have excellent English language skills. The prerequisite for
employment is a master or diploma degree (or equivalent) from a
university in mathematics. Severely handicapped persons are given
preferential employment if they are suitable. Trier University is
trying to increase the number of its female academics and urges them
to apply. Applications with the usual documents (letter of motivation,
curriculum vitae, certificates and, if applicable, list of
publications as well as a list of courses supervised to date) in a
single PDF are requested by 15.08.2021 via e-mail to Prof. Dr. Martin
Schmidt (martin.schmidt@uni-trier.de).


From: Bernd Simeon simeon@mathematik.uni-kl.de
Date: July 25, 2021
Subject: Postdoc Position, Computational Biomechanics, TU Kaiserslautern


A postdoctoral research associate position is available in the
Department of Mathematics at TU Kaiserslautern, Germany. The position
is funded by the German Research Council (DFG) within the project
'Coupled analysis of active biological processes for meniscus tissue
regeneration'. The main task will be to develop a novel computational
framework for the simulation and parameter identification of in vitro
experiments for human meniscus regeneration, in collaboration with
bioengineers and biomathematicians. Prior experience in computational
mechanics or numerical PDEs and strong programming skills are
expected. The position is for 2 years plus an optional extension.

For enquiries, please contact Prof. Bernd Simeon at
simeon@mathematik.uni-kl.de

From: Jennifer Scott jennifer.scott@reading.ac.uk
Date: July 21, 2021
Subject: PhD Position, Numerical Weather Prediction, Univ of Reading, UK


An exciting opportunity exists to apply for a 4-year fully funded PhD
studentship to work on "Randomized parallel algorithms for data
assimilation in numerical weather prediction." Data assimilation is
the process of updating a model forecast with the latest observations
to ensure that the forecasting model stays close to reality. It is a
crucial component of numerical weather prediction systems. This
project will develop new randomized numerical methods for solving the
data assimilation problem and test them within the European Centre for
Medium Range Weather Forecasts system.

The project supervisors will be Professor Jennifer Scott and Dr Amos
Lawless from the University of Reading, together with Dr Massimo
Bonavita and Dr Nicolas Bousserez from ECMWF (https://www.ecmwf.int/).

Funding is available (fees plus stipend) for UK and international
students. Candidates should have a strong mathematical background and
preferably some experience of programming.

For further details, including how to apply: see
http://www.reading.ac.uk/graduateschool/funding-and-fees/gs-PhD-studentships-in-Mathematical-Sciences.aspx
(see Project 4).

Application deadline: 27 August 2021
Start date: September 2021 or January 2022

Any enquiries, please contact: a.s.lawless@reading.ac.uk or
jennifer.scott@reading.ac.uk

From: Jia-Jie Zhu zhu@wias-berlin.de
Date: July 24, 2021
Subject: PhD Position, Robust ML/Data-driven Optimization, Germany


The Weierstrass Institute (WIAS) in Berlin, Germany, is looking for
Ph.D. candidates passionate about researching **robustness machine
learning and data-driven optimization**, on topics closely related to
distributional robustness, adversarial robustness, generalization,
robust optimization, robustness in RL and control, interfacing
distributional robustness and causality. The starting date is
September 2021 and might be negotiated.

To apply or learn more, follow this link:
https://jj-zhu.github.io/phd_1/. Please direct all inquiries to the
email address doc.berlin.wias@gmail.com, with the subject containing
[inquiry-phd-opt]. For more information about WIAS Berlin, see
https://www.wias-berlin.de/

What we offer:
- Close mentorship: the Ph.D. candidate will receive responsible and
careful mentorship. We emphasize fostering a healthy mentor-student
relationship.
- The Weierstrass Institute for Applied Analysis and Stochastics
(WIAS), Berlin is a research institution known for its strength in
mathematical optimization, optimal control, dynamical systems, and
applied mathematics in general. It has hosted flagship conferences
in mathematical optimization, such as ICCOPT 2019. We also envision
collaborations with our partners at top institutions such as the Max
Planck Institute for Intelligent Systems, Tubingen.
- We are located in downtown Berlin. Berlin is one of the most
culture-rich and diverse international cities in the world. It
offers endless opportunities to enjoy life outside work, while being
very affordable compare to other major cities. Neither the job nor
living in Berlin requires the German language (although we offer
free German courses). We highly welcome applications from
international students and minorities. Scientifically, Berlin
offers a rich landscape with numerous opportunities for research, as
well as job prospects in academia and industry.

From: Jennifer Scott jennifer.scott@reading.ac.uk
Date: July 21, 2021
Subject: PhD Position, Univ of Reading/Rutherford Appleton Laboratory, UK


We are seeking excellent candidates for a 4-year fully funded PhD
studentship to work on "Large-scale linear least squares solvers with
applications". The project will focus on developing a new generation
of algorithms for solving sparse numerical linear algebra problems
that arise in practical applications, with a strong emphasis on
large-scale least squares and related problems. Applications will
include image reconstruction, in particular, bundle adjustment, cosmic
microwave background data analysis in astrophysics, and data fitting
in weather forecasting.

Funding is available (fees plus stipend) for UK and international
students. Candidates should have a strong mathematical background and
preferably some experience of programming.

The project supervisors will be Professor Jennifer Scott (University
of Reading and Rutherford Appleton Laboratory) and Dr Hussam Al Daas
(RAL). The student will be based in the University of Reading but will
spend significant time at the nearby RAL.

This is a unique opportunity to belong to the Department of
Mathematics and Statistics at the University of Reading
(http://www.reading.ac.uk/maths-and-stats/research/maths-stats-
research.aspx) and to be a part of the Computational Mathematics Group
at the internationally renowned RAL (https://www.numerical.rl.ac.uk/).

For further details, including how to apply: see
http://www.reading.ac.uk/graduateschool/funding-and-fees/gs-PhD-studentships-in-Mathematical-Sciences.aspx
(see Project 5).

Application deadline: 27 August 2021
Start date: September 2021 or January 2022

Any enquiries, please contact: jennifer.scott@reading.ac.uk

From: Cornelia Böhnstedt cornelia.boehnstedt@fu-berlin.de
Date: July 25, 2021
Subject: PhD Positions, PharMetrX, Potsdam/Berlin, Germany


The Graduate Research Training Program PharMetrX: Pharmacometrics &
Computational Disease Modelling is an interdisciplinary PhD program
bridging pharmacy and mathematics. It aims at understanding the
drug-patient-disease interaction by analysing data of drug
concentration, effect & disease profiles of pre-/clinical trials and
of therapeutic care by developing and using mathematical & statistical
models. We are currently inviting applications to enrol in the
PharMetrX Research+ Program or the PharMetrX Training+ Program. The
PharMetrX Research+ Program (Research & Training & Network) comprises
an excellent research environment in the vibrant Berlin/Potsdam area,
fascinating and innovative research projects in a highly relevant
field, truly transdisciplinary supervision, an individual mentorship
from one of the associated industry partners, a specifically tailored
training program of compact modules, a network of peers and a highly
competitive 3.5 years fellowship. The PharMetrX Training+ Program
(Training & Network) offers a specifically tailored training program
of compact modules that convey the foundations in pharmacokinetics &
pharmacodynamics, systems biology, statistics, methodological
approaches of modelling & simulation etc. as well as a network of
peers. It is open for PhD students who have already started their PhD
in the field of pharmacometrics or will do so soon. Both programs are
open to candidates with a university degree in pharmacy,
pharmaceutical sciences, mathematics/statistics, bioinformatics, life
sciences or medicine. See https://www.PharMetrX.de for further
details. Deadline for applications: 15 September 2021.

PharMetrX is a joint program of Freie Universitat Berlin and the
University of Potsdam, supported by a consortium of global
research-driven pharmaceutical companies.

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