NA Digest, V. 21, # 30

NA Digest Monday, August 09, 2021 Volume 21 : Issue 30

Today's Editor:

Daniel M. Dunlavy
Sandia National Labs

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives:

Submissions for NA Digest:

From: Matthias Maier
Date: August 03, 2021
Subject: Finite Element Software deal.II Version 9.3.0 released

Version 9.3.0 of deal.II, the object-oriented finite element library
awarded the J. H. Wilkinson Prize for Numerical Software, has been
released. It is available for free under an Open Source license from
the deal.II homepage at

The major changes of this release are:
- Ten new tutorial programs covering: particle methods, tracking
locations in a flow field, a matrix-free geometric multigrid solver
for a nonlinear problem, automatic and symbolic differentiation,
SUNDIALS interfaces for nonlinear problems, SIPG approach to
discontinuous Galerkin methods, an explicit integrator for the Euler
equations, a solver for the Black-Scholes equations, and topology
optimization problems.
- Experimental support for simplex and mixed meshes.
- Improved flexibility of the particle infrastructure.
- Support for global-coarsening multigrid algorithms.
- Advances in the matrix-free infrastructure.
- Usage of MPI-3.0 shared-memory features to reduce memory footprint
- Improved support for evaluation and integration at arbitrary points
- More than 210 other new features, improvements, and bugfixes.

For more information see the preprint at

The main features of deal.II are:
- Extensive documentation and 76 fully-functional example programs
- Support for dimension-independent programming
- Locally refined adaptive meshes with multigrid support
- A zoo of different finite elements and fast linear algebra
- Built-in support for shared memory and distributed parallel
- Interfaces to Trilinos, PETSc, METIS, UMFPACK and other external
- Output for a wide variety of visualization platforms.

From: Christian Himpe
Date: August 08, 2021
Subject: Software Release: morgen 1.1

We are happy to announce version 1.1 of "morgen" (Model Order
Reduction for Gas and Energy Networks), a software package for
transient gas network simulation and related network systems, such as
district heating and water networks. The underlying models are
typically parametric, nonlinear, hyperbolic partial differential
equation systems, and hence, challenging for modelling, solving, and
particularly model reduction. "morgen" is a modular, configurable,
extensible, and open-source software platform, compatible with MATLAB
and OCTAVE, designed for prototyping, testing, comparing,
benchmarking, and uncertainty quantification of gas network models
(discretizations), solvers (time steppers), and reductors (model
reduction algorithms).

Details, download and documentation at:

From: Yair Shapira
Date: August 06, 2021
Subject: New Book, Classical and quantum mechanics with Lie algebras

This book introduces a few important topics in physics: Newtonian,
Hamiltonian, and quantum mechanics and relativity. To put things in a
unified context, it also introduces Lie algebras, and shows how useful
they are to model key physical concepts like energy, momentum, and

From: Oliver Ernst
Date: August 02, 2021
Subject: Chemnitz Finite Element Symposium, Germany, Sep 2021

This year's Chemnitz Finite Element Symposium will take place
September 6-8, 2021 on the TU Chemnitz campus, with an online option
for participants unable to attend in person due to COVID-19
restrictions. Scientific topics of the FE symposium cover all aspects
of finite elements with special emphasis this year on inverse
problems, discontinuous Galerkin methods and nonlinear PDEs.

Invited Speakers:
- Paola Antonietti (Politecnico di Milano)
- Dietmar Gallistl (Uni Jena)
- Erik Burman (UCL)

- August 13, 2021 for registration and abstract submission

The registration form and further information can be found at

From: Alessia E. Kogoj
Date: August 06, 2021
Subject: Evolution PDEs, Italy, Sep 2021

The purpose of this conference is to highlight recent developments in
the analysis of time-dependent equations, and more generally of
evolution problems. The aim is to bring together leading experts
working in different fields, whose research interests intersect the
scientific topics of the workshop, and to stimulate new interactions
and collaborations. If the situation with COVID will allow it, the
conference will take place in presence in the beautiful renaissance
town of Urbino (Italy) from September 8th to September 10th at
University of Urbino Carlo Bo. It will consist in 2 mini-courses and
several seminars by invited speakers. We plan to discuss various
topics concerning partial differential equations, semigroup theory,
geometric analysis and control theory.

Further information can be found at:

There are no registration fees, but registration is mandatory for
organizational purposes. To register please send an email to

From: Connor Ward
Date: August 04, 2021
Subject: Firedrake User and Developer Workshop, ONLINE, Sep 2021

The Firedrake Project will be hosting the Firedrake '21 workshop
online in the afternoons (UK time) of 15-17 September. This is an
opportunity for users and developers of Firedrake and its related
tools to present their work, and to learn from and interact with other
members of the Firedrake community.

We invite everyone in the Firedrake community, new and old, and no
matter what you're using Firedrake for, to come and show off your

For further details and abstract submission, see: . Registration will be
just 10 GBP and will open shortly.

From: Marco Prato
Date: August 03, 2021
Subject: Optimization Techniques for Inverse Problems, ONLINE, Sep 2021

OIP2020-21 Online Workshop - Optimization Techniques for Inverse
Problems; September 6-7, 2021:

This workshop is made by a limited number of extended talks held by
international experts in numerical optimization and inverse problems.
Due to the ongoing situation and foreseeable difficulties in global
travelling, the workshop will be held online with live sessions.

Confirmed speakers: Luca Calatroni, Emilie Chouzenoux, Daniela di
Serafino, Marco Donatelli, Zdenek Dostal, Elena Loli Piccolomini,
Ignace Loris, Serena Morigi, Benedetta Morini, Peter Ochs, Simone
Rebegoldi, Samuli Siltanen, Alessandro Verri

The workshop will be held in virtual format via the Zoom platform. The
registration to the OIP2020 workshop is free but mandatory. The
registration deadline is August 31, 2021.

From: Pamela Bye
Date: August 03, 2021
Subject: Black Heroes of Mathematics, ONLINE, Oct 2021

Online Event: Black Heroes of Mathematics Conference 2021
5-6 October 2021

The British Society for the History of Mathematics, the International
Centre for Mathematical Sciences, the Institute of Mathematics and its
Applications, the Isaac Newton Institute, the London Mathematical
Society, and the Mathematical Association are holding a two day
conference on Black Heroes of Mathematics. The Vision of the
conference is "To celebrate the inspirational contributions of black
role models to the field of Mathematics and Mathematics
Education". There will be a balance of technical talks by
internationally renowned black speakers that include some detail of
career paths and experience to provide a testimonial dimension. We
plan to achieve a balance of career stage and gender.

Registration: To register please use this link -

For general conference queries please contact the Conferences Team

From: Heike Sill
Date: August 02, 2021
Subject: Coordinator/Project Manager Position, WIAS, Germany

The MaRDI office at WIAS has a vacancy for the position of
Coordinator/ Project manager (f/m/d) (Reference 21/14) to be filled.
Responsibilities include overall coordination of the MaRDI consortium
with a focus on research data management. Work responsibilities
include: Coordination and support of the operational management of the
MaRDI consortium in coordination with the spokesperson. Networking
function within the MaRDI consortium: central interface communication
and close cooperation with all MaRDI partners, the participating
scientists, the administrations of the institutions as well as with
partner institutions of other NFDI consortia and other relevant
partners from the academic, economic and political environment.
Supporting the establishment of an agile team consisting of the
distributed and spatially separated MaRDI working groups
(infrastructures for collaborative work and team communication; team
building activities). Support of the project management, e.g. by
reporting and monitoring of the overall project. External
representation of the MaRDI consortium in coordination with the
spokesperson. Coordination and support of committee work as well as
preparation of scientific reports and support in the creation of
funding applications. Conception, planning and organization of events
and networking activities of the consortium including project
meetings, workshops and other formats. Budget planning of the
consortium in coordination with the responsible persons (with the
support of the MaRDI finance staff member). The requirements for
employment are a university degree, preferably in an
informatics/scientific/technical field, as well as sound knowledge of
FAIR principles, research data management, and aspects of science
culture in the natural and technical sciences. The appointment is for
5 years and 1 month. The regular work schedule is 39 hours per week
and the salary is according to the German TVoD Bund scale.

Please submit complete application documents including a cover letter,
curriculum vitae (CV), relevant certificates and the master thesis (as
draft if not finalized) as soon as possible via our online
job-application facility
( using the button
"Apply online". The envisioned starting date is as soon as possible.

From: Jan Giesselmann
Date: August 02, 2021
Subject: Tenure Track Position, Mathematics, TU Darmstadt

The Department of Mathematics at Technische Universitat Darmstadt
invites applications for the position of an Assistant Professorship
(W2, Tenure Track) for Mathematics - Numerical Analysis and Scientific
Computing starting as soon as possible. Applicants should have an
outstanding PhD and pertinent publications in international
journals. They should work in a modern field of numerical analysis and
scientific computing related to model reduction or numerical
homogenization as to supplement the existing research areas of the
working group Numerical Analysis of the Department. We welcome
experience with the acquisition of third party funding. It is expected
that applicants cooperate with the SFB/TRR154 "Mathematical Modeling,
Simulation and Optimization using the Example of Gas Networks" funded
by German Science Foundation DFG. Potential for cooperation with other
research groups within the Department of Mathematics or at TU
Darmstadt or within the strategic alliance of Rhein-Main Universities
(RMU) is beneficial. The department places emphasis on the ability to
teach students in mathematics and other degree schemes. The department
expects applicants to be able to teach in German within three years
after appointment; prior to that, English can be the language of
instruction. The University offers German courses to non-native
speakers of German.

The full announcement is available here:

From: Department of Computer Science, Hong Kong Baptist University
Date: August 05, 2021
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)
(PR0166/19-20). 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 to 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.
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 Dr William Cheung, Head of Department
(email: More information about the
Department can be found on its website at Salary will be commensurate with
qualifications and experience.

Closing date: Review of applications is on-going until the positions
are filled.

Apply Now:


From: Carola Sch=F6nlieb
Date: August 08, 2021
Subject: Research Associate Position, Data-driven low-dose CT, UK

A position exists for a Research Associate position at the University
of Cambridge to work on a project entitled 'Revolutionizing Medical
Imaging (ReImagine) through Ubiquitous, Low-Dose, Automated Computed
Tomography Diagnostic Systems' funded through the EPSRC Transformative
Healthcare Technologies scheme in the Department of Applied
Mathematics and Theoretical Physics.

Application deadline: 7th of September 2021

More details:

Carola Schonlieb,

From: J. Lu
Date: August 03, 2021
Subject: Research Scientist Positions, Comp Vision/Optim/ML, SZU

Job Type: Full-Time for Research Scientist
Duration: 2 years
Number of Position: 2 Positions
Salary for Postdoc: about 320,000 RMB -- 500,000RMB per year.
Closing Date: Open Until Filled.

Description: We have projects that are looking for Research Scientists
in Optimization, Computer Vision, Image/Video/Signal
Processing/Analysis, 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:;

Those who are interested in Research Scientist please send their
C.V. to Prof. Dr. Jian Lu (email:;

Date: August 04, 2021
Subject: Postdoc Position, Claremont Graduate Univ

A postdoc position is available to work on an NSF grant project with
Hrushikesh Mhaskar (CGU,
mhaskar/). The areas of research are (1) approximation
theory/computational harmonic analysis (2) machine learning, and (3)
signal processing. The post-doc will collaborate closely with Mhaskar
in (1) developing applications for his theory and writing the
necessary codes to carry out the applications successfully enough to
result in publications in respectable journals/proceedings (2) doing
literature search and grant proposal development, (3) mathematical
discussions and presentations. The ideal candidate should have good
programming skills, and a background in basic real and complex
analysis, approximation theory, harmonic analysis, and numerical
analysis. The deadline for applications with cover letter, vita,
statement of research interests, and three letters of recommendation
is December 1, 2021, but applications will be considered after that
until the position is filled. The position is from July 1, 2022, to
June 30, 2023, but the dates are somewhat flexible. Applications can
be made via mathjobs

Claremont Graduate University is a member of the Claremont Colleges, a
consortium of two graduate and five undergraduate institutions that
collectively house over 50 mathematics faculty members. The
individual institutions cooperate, through the Claremont Center of
Mathematical Sciences, to form one of the largest mathematical science
research communities in California. The Institute of Mathematical
Sciences has joint Ph. d. programs with several universities in
Southern California. In addition, there are often clinics sponsored
by local industries. Postdocs are eligible for on campus housing

From: Bangti Jin
Date: August 05, 2021
Subject: Postdoc Position, Mathematics of Deep Learning, UCL, UK

The Department of Computer Science at University College London is
inviting applications from excellent candidates for a three year
Research Associate position starting in January 2022 in the EPSRC
Programme Grant EP/V026259/1 on the "Mathematics of Deep Learning"
(Maths4DL). Maths4DL is a joint programme run by the University of
Bath, the University of Cambridge and the University College London,
and the successful candidate will join a close knit team hosted by all
three universities and led by Prof Chris Budd OBE and Dr Matthias
Ehrhardt (Bath), Profs Carola Schoenlieb and Richard Nickl
(Cambridge), and Profs Simon Arridge and Bangti Jin (UCL). The closing
date of the application is 30th September, 2021. For further details
and application procedure, see the link

From: Michael Multerer
Date: August 03, 2021
Subject: Postdoc Position, Uncertainty Quantification, USI

A PostDoc position in uncertainty quantification is available at the
Euler institute of the UniversitaA della Svizzera italiana (USI). The
position is funded by the by the SURE (SUstainable and REsilient
energy for Switzerland) project of the first SWEET call of the Swiss
Federal Office of Energy.

The ideal candidate has a PhD degree in Informatics or Mathematics
within the field of uncertainty quantification and expertise in
multilevel and multifidelity methods. Furthermore, the position
requires a strong background in scientific computing and the knowledge
of a high-level programming language, such as C/C++, and of a
scripting language, like Matlab or Python.

A detailed job description can be found on

Applications may directly be sent to Michael Multerer

From: Stefano Pozza
Date: August 06, 2021
Subject: PhD Position, Dep Num Math, Charles Univ, Czech Rep

A Ph.D. position is available within the framework of the Primus
Research Programme: "A Lanczos-like Method for the Time-Ordered
Exponential" at the Faculty of Mathematics and Physics, Charles
University, Prague.

The four years of Ph.D. studies will take place in the Department of
Numerical Mathematics under the supervision of Dr. Stefano Pozza (PI
of the project). The department offers an international environment at
one of the top universities in the Czech Republic, and the oldest
university in Central Europe. The student will also have the
opportunity to work with external collaborators from France, Italy,
and the UK.

The applicants must hold a Master's degree by the start date of Spring
2022 (to be announced) and have a strong interest in numerical linear
algebra and numerical analysis. Knowledge of Matlab or other
programming languages is necessary. Applicants will have to prove
their English language level by passing an exam (it is possible to
waive the examination under some conditions).

Application deadline: September 30, 2021.

More information and application instructions:

From: Wim Michiels
Date: August 06, 2021
Subject: PhD Position, KU Leuven

PhD position in Applied Mathematics, KU Leuven

At the Numerical Analysis and Applied Mathematics (NUMA) section of KU
Leuven, Belgium, there is a vacancy for a four year, fully funded PhD
position on "Mathematical and computational approaches for analysis
and control of complex dynamical systems".

A detailed description of the PhD project, at the intersection of
computational mathematics and control theory, the intended profile of
the applicants, the hosting research group and university, as well as
application instructions can be found at

Applications will be considered as soon as they are received, and the
opening will be closed as soon as a suitable candidate has been
hired. The formal application deadline is September 22, 2021.

From: Heike Sill
Date: August 02, 2021
Subject: PhD Position, Robust ML/Data-driven Optimization, WIAS, Germany

WIAS invites applications for a PhD student position (f/m/d) in robust
machine learning and data-driven optimization (Ref. 21/15) in the
Weierstrass Group "Data-driven Optimization and Control" (Head:
Dr. Jia-Jie Zhu) starting as soon as possible. Robustness plays an
increasingly important role in machine learning and optimization. For
example, learners and optimization solutions can become fragile once
the test environments differ from training. We are looking for
candidates passionate about researching robustness in data-driven
optimization and machine learning, broadly defined as, e.g.,
distributional robustness/adversarial
robustness/generalization/interfacing distributional robustness and
causality/robust optimization/robustness in RL and control. We invite
candidates with a degree (master's level) in mathematics, computer
science, or control theory, and backgrounds in mathematical
optimization and/or machine learning theory and/or control
theory. Candidates with strong applied or industrial experiences will
also be considered. Those qualifications are demonstrated by
high-quality technical reports or publications in credible venues
and/or completed industrial projects and codebases.

Please direct queries to Dr. Jia-Jie Zhu (, further
information on his work is also available at The appointment is for 36 months. The
reduced work schedule is 29,25 hours per week and the salary is
according to the German TVoeD scale.

See here for more information:

From: Martin Eigel
Date: August 02, 2021
Subject: PhD Position, WIAS Berlin, Germany

The Weierstrass Institute (WIAS) in Berlin seeks applications for a
Doctoral Scientist / PhD student (75% of full-time salary group E13
TV-L) starting October 1, 2021, for a fixed-term of 3 years.

The position is part of the project "Adaptive Neural Tensor Networks
for parametric PDEs" within the DFG Priority Programme SPP 2298
"Theoretical Foundations of Deep Learning". The project will be
concerned with the development of adaptive methods for neural networks
and hybrid tensor neural networks for the solution of parametric
PDEs. It will be carried out in collaboration with the group of Lars
Grasedyck at the RWTH Aachen.

The applicants are expected to have a strong mathematical background
and to be familiar with some of the topics numerical analysis (for
PDEs), uncertainty quantification, statistical learning theory,
high-dimensional approximations (in particular with neural and tensor
networks). Moreover, the applicants are expected to be experienced
with at least one of the common python machine learning frameworks.

Please submit your electronic application (including cover letter, CV,
copies of your certificates, a brief research statement, links to code
repositories etc.) via the online form at no later
than August 22, 2021. For enquiries about the position, please contact
Martin Eigel (

End of Digest