NA Digest, V. 21, # 11

NA Digest Sunday, March 28, 2021 Volume 21 : Issue 11

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: Jorge J More
Date: March 22, 2021
Subject: Wayne Cowell (1926 - 2021)

Dr. Wayne Cowell, a member of the Mathematics and Computer Science
Division at Argonne National Laboratory for most of his professional
life, passed away February 24, 2021. During that time he made a
lasting impact on computational science and on the scientists around

In 1971 Wayne convinced the National Science Foundation to fund the
National Activity to Test Software (NATS) project between Argonne and
two universities: Stanford and the University of Texas at Austin. The
plan was to produce a set of subroutines with a uniform style and
naming convention. The subroutines would be based on the best
available algorithms, implemented at Argonne, and distributed to test
sites. Once the testing was completed, the subroutines were certified
as being robust, reliable, and portable. These ideas were new in 1971.

The NATS project produced the EISPACK and FUNPACK packages. The
success of this project laid the groundwork for Argonne's reputation
as a center for the development of high-quality numerical software.

Wayne is remembered as a kind, considerate colleague and a promoter of
mathematical software by the visitors to Argonne. His success in
promoting collaboration between Argonne and other research
institutions was key to the development of mathematical software.

Wayne edited the book "Sources and Development of Mathematics
Software" that details many of the lessons learned during the early
years. If you want to know more about Wayne's work google "Oral
History Wayne Cowell".

Jack Dongarra, Jorge More, Brian Smith

From: Harbir Antil
Date: March 26, 2021
Subject: East Coast Optimization Meeting, ONLINE, Apr 2021

This is let you know that the schedule of (Virtual) East Coast
Optimization Meeting (ECOM) 2021 is now available online on the
workshop website. The focus of this year's meeting is "Optimization
for Machine Learning"

Keynote Lecturers
- Frank E. Curtis (Lehigh University)
- Wotao Yin (UCLA)

Invited Guest Speakers
- Stefanie Guenther (Lawerence Livermore Lab)
- Patrick O'Neil (BlackSky)
- Chris Teixeira (MITRE Corporation)
- Madeleine Udell (Cornell University)

Contributed Talks (22 total): Mostly from students, postdocs and early
career researchers.

If you haven't registered already, and would like to attend, we
request that you do so here:

Please note that everyone is welcome to attend but registration is
mandatory to get the zoom link.

From: Felix Kwok
Date: March 26, 2021
Subject: CRM School, Multiphysics Solvers, ONLINE, May-Jun 2021

The Centre de recherches mathematiques (CRM) and Universite
Laval are pleased to announce the 2021 CRM Summer School "Solving
large systems efficiently in multiphysics numerical simulations",
which will take place ONLINE from May 31 to June 10, 2021. The goal of
this summer school is to introduce fundamental solver techniques for
dealing with large-scale coupled problems in numerical
simulations. Participants will be expected to have a working
understanding of linear algebra, differential equations (ordinary and
partial) and basic Fourier analysis, roughly at the undergraduate
level. The theoretical portion will consist of the following three
mini-courses, which will be accompanied by exercise sessions:

- Stationary Methods and Multiphysics (Hamdi Tchelepi and Felix Kwok)
- Domain Decomposition Methods (Victorita Dolean)
- Multigrid Methods (Scott MacLachlan)

In addition, there will be seminar talks on advanced techniques and
applications by four invited speakers (Andrea Franceschini, Louis
Poirel, Carmen Rodrigo and Julien Salomon). All lectures will be given
in English. The summer school is free of charge, but prior
registration is required. To register and to find out more about the
summer school program, please visit our website at

Registration will be open until May 25, 2021.

The summer school is organized by Vivien Clauzon (Michelin), Jean
Deteix (Laval), Felix Kwok (Laval) and Scott MacLachlan (Memorial
University of Newfoundland).

From: Alessio Fumagalli
Date: March 23, 2021
Subject: SIAM Geosciences, ONLINE, Jun 2021

We wish to inform you that registration to the SIAM Conference on
Mathematical and Computational Issues in the Geosciences, which will
be held online in the period 21-24th June 2021, is now open.

The conference is organised by SIAM and Politecnico di
Milano. Information on the fees and how to register is available in

The conference will use the Vfairs platform,,
which allows synchronous and asynchronous interaction among
participants. The conference platform will remain open to the
registered participants for one month after the conference. The
conference will host six plenary presentations, the talks by the
recipients of the Career and Early Career SIAM Group on Geosciences
Prize, 3 minitutorials, more than one hundred minisymposia and
contributed sessions and poster sessions, covering different aspects
of mathematical and computational aspects of geosciences. You may find
more information on

We invite you to participate in this successful conference. For any
query, please contact

The SIAMGS21 local organizing committee, Politecnico di Milano, Italy.

From: Helmut Podhaisky
Date: March 26, 2021
Subject: NUMDIFF-16, Germany, Sep 2021

NUMDIFF-16 on Numerical Solution of Differential and
Differential-Algebraic Equations
6 - 10 September 2021, Martin
Luther University Halle-Wittenberg (Germany)

We are planning to hold NUMDIFF-16 as on-site conference enriched with
a few remote talks.

Plenary speakers: Sebastiano Boscarino (Catania), Chris Budd (Bath),
Dajana Conte (Salerno); Michael Dumbser (Trento), Ulrik Skre Fjordholm
(Oslo), Maren Hantke (Halle); Gabriel Lord (Nijmegen), Klas Modin
(Gothenburg), Sina Ober-Blobaum (Paderborn); Brynjulf Owren
(Trondheim), Gianluigi Rozza (Trieste), Ari Stern (St Louis);
Katharina Schratz (Paris), Gilles Vilmart (Geneva).

Minisymposia: Numerical methods in fractional calculus, organised by
Roberto Garappa (Bari); ODE and SDE methods in machine learning,
organised by Benedict Leimkuhler (Edinburgh); Numerical Methods for
Stochastic Evolution Equations, organised by Raphael Kruse (Halle);
Fluid dynamics: innovative discretisations and algorithms, organised
by Colin Cotter (London).


From: Tony Ware
Date: March 21, 2021
Subject: Assistant Professor Position, Applied Maths and Analysis, Canada

The Department of Mathematics and Statistics at the University of
Calgary invites applications from outstanding candidates for a
tenure-track position at the rank of Assistant Professor, with an
anticipated start date commencing on or after July 1, 2021. We
encourage applications from candidates in all areas of applied
mathematics and analysis, including dynamical systems, numerical
analysis, differential equations or optimisation. We are particularly
interested in those with a demonstrated interest in/expertise
in/potential for interdisciplinary research in areas related to 'the
mathematics of planet earth', and in potential collaborations with
disciplines such as environmental/ earth sciences, engineering,
natural/biological sciences or geophysics.

Further details about the position and how to submit an application
may be found on MathJobs: The deadline for
applications to receive full consideration is 9th April, 2021.

From: Heike Sill
Date: March 22, 2021
Subject: Research Assistant Position, Applied Mathematics, WIAS, Germany

WIAS invites applications for a Research Assistant position (f/m/d)
(Ref. 21/08) in the Research Group 'Interacting Random Systems' (Head:
Prof. Dr. W. Konig) starting at the earliest possible date.

The task is to analyze stochastic models for the dynamics and statics
of large interacting systems to support and complement the research
directions in the group. We would like the successful candidate to
develop contacts to other groups in the Institute. The Institute
would support the acquisition of experience with third-party funding,
teaching and research supervision in preparation for a professorship.
A completed undergraduate education to Master's level and a Ph.D. (or
equivalent experience) in mathematics or a closely related field is
expected. Experience in the areas of large deviations; statistical
physics and phase transitions; Markov jump processes will strengthen
your application.

See here for more information:

From: Ranjith Kunnath
Date: March 24, 2021
Subject: Research Associate Position, Mahindra Univ, India

Applications are invited for the post of Research Associate (RA) in a
project sponsored by the National Supercomputing Mission (NSM)
entitled '3D elastodynamic fracture simulations' supervised by
Prof. Ranjith Kunnath. NSM is a joint initiative of the Department of
Science and Technology (DST) and Ministry of Electronics and
Information Technology (MeITY).

Eligibility: Ph.D. in Engineering/Mathematics/Physics with background
in the area of Applied Mechanics and/or High Performance Computing

Fellowship: Upto Rs. 54,000 + 24 % HRA per month, depending on
qualification and experience

Candidates with M.E/M.Tech. with 3 years experience in the area of
Applied Mechanics and/or High Performance Computing and at least one
publication in a Science Citation Indexed (SCI) journal can also be
considered at a lower fellowship rate. Project duration: 2 years

Interested candidates can send their CV and relevant details to For more information, visit
the webpages and

From: Gianluigi Rozza
Date: March 25, 2021
Subject: Research Associate Position, SISSA MathLab, Italy

A new open position (12 months, renewable) as research associate at
SISSA, International School for Advanced Studies, Trieste, Italy
( is available with deadline April 2, 2021 at 1pm
(Rome time):

The position is at SISSA mathLab, PI Gianluigi Rozza
( and funded by Dompe: The position is expected to start as soon as

The project is focused on mathematical modelling and numerical
simulation of complex CFD industrial problems. Field of the research
activity: CFD, control, design, optimisation, model reduction, data
assimilation, machine learning, artificial intelligence, HPC.
Competences: numerical analysis, scientific computing and programming,
advanced CFD, automatic learning.

Please disseminate the info and contact me for further questions.

From: Nelly Villamizar
Date: March 23, 2021
Subject: Postdoc Position, Algebraic Spline Geometry, Swansea Univ

A 2-year Postdoctoral Research Position is now open in connection to
the EPSRC project 'Algebraic spline geometry: towards algorithmic
shape representation' led by Dr. Nelly Villamizar at the Department of
Mathematics in Swansea University.

The overarching aim of the project is to develop research at the
interface between algebraic geometry, combinatorics, and splines
leading to novel approximation methods for representing shapes with
complex topology.

The post is available from September 1st, 2021.

If you are interested or know anyone who might be, please get in
touch! E-mail: More info:

Job description and application:

Closing date April 18th, 2021

From: Marta D'Elia
Date: March 24, 2021
Subject: Postdoc Position, Analysis of Neural ODEs, Sandia NL

We are seeking a postdoctoral appointee with strong mathematical and
computational background who will pursue research at the intersection
of machine learning (ML), uncertainty quantification, and applied
mathematics. We seek a creative problem solver with fundamental
knowledge in probability theory, differential equations, optimization,
and experience in scientific computing, evidenced by publications and
codes. The postdoctoral appointee will contribute towards development
and deployment of advanced ML methods with connections to random
dynamical systems and differential equations. Specific developments
include exploring neural networks (NNs) in the continuous-layer limit
as differential equations, augmenting NNs with probabilistic weights,
as well as crafting advanced regularization and dimensionality
reduction methods. The work involves regular interaction with the
three-member project team, as well as collaboration with application
teams across Sandia. The project is expected to result in publications
in peer-reviewed journals and impact in understanding the advantages
and limitations of probabilistic NNs viewed as random dynamical

Required Qualifications: PhD in the physical sciences, mathematics,
engineering, or computer science; Knowledge and expertise in machine
learning and numerical methods; Knowledge and expertise in Python and
common machine learning libraries.

Desired Qualifications: Knowledge and expertise in computational
science and software development; Experience in performing
collaborative and interdisciplinary research; Excellent verbal and
written communication skills.

Apply: go to, click
'View All Sandia Openings' and search for Job ID: 675651.

Khachik Sargsyan,
Marta D'Elia,

From: Markus Rampp
Date: March 24, 2021
Subject: Postdoc Position, HPC/NA, Max Planck (MPCDF), Germany

The Max Planck Computing and Data Facility(MPCDF) in collaboration
with the Fritz Haber Institute of the Max Planck Society, is looking
for a Computational Scientist or HPC Application Expert (m/f/d).

The successful candidate will be associated with the applications
group at the MPCDF (based on the research campus Garching near Munich,
Germany) and will work on the development and optimization of
scientific HPC simulation codes for upcoming Exascale computer
architectures, primarily in the field of electronic structure theory
and theoretical chemistry, as pursued in the Theory Department of
Prof. Karsten Reuter at the Fritz Haber Institute.

The applicant should hold a PhD in Physics, Computer Science, applied
Mathematics, or a similar subject. A strong background in scientific
software development (ideally with modern Fortran or C++), together
with common parallel programming models (MPI, OpenMP), and some
experience with large, distributed software projects and
high-performance computing are required. We offer the opportunity to
work on state-of-the-art numerical algorithms, leading HPC codes and
latest supercomputer technology and to maintain close collaborations
with the scientists and method developers at the Fritz Haber Institute
and its international partners. Knowledge in GPU programming,
e.g. with CUDA or OpenACC, and basic familiarity with the numerics of
electronic-structure theory is considered as a plus, but is not
strictly necessary.

The full-time position starts as soon as possible and is initially
limited for a maximum period of three years. Salary will be based on
experience according to the German TVoD. For detailed information
please visit

From: Mingchao Cai
Date: March 23, 2021
Subject: Postdoc Position, NSF Research Fellowship, Morgan State Univ

If you are US citizens or permanent residents, you are welcome to
apply the NSF Research Fellowships through

If you would work with me at Morgan State University, please feel free
to email me at to discuss the details and

From: Daniele Di Pietro
Date: March 23, 2021
Subject: Postdoc Positions, Numerical PDEs, Univ of Montpellier

Applications are invited for post-doctoral research associates in the
Numerical Analysis group of the Alexander Grothendieck Institute
(University of Montpellier). We are looking for candidates with a
solid theoretical background in Numerical Analysis and good
programming skills. Several research subjects are available on the
development, a priori and a posteriori error analysis of advanced
numerical methods for Partial Differential Equations.

The starting date can be as early as July, 1st 2021, with a duration
of up to 18 months.

For further details, contact Prof. Daniele Di Pietro

From: Matthew Borg
Date: March 24, 2021
Subject: Research Associate Position, Multiscale Simulations, UK

We are looking to fill a 2-year postdoc position in multiscale
rarefied gas flows to be based at the University of Edinburgh. This is
part of a 1.2M GBP EPSRC-funded joint research project between
Edinburgh University, Glasgow University, and Warwick University, and
4 industrial companies.

Deadline to apply: 16 April 2021.

More details can be found here:

From: Hartwig Anzt
Date: March 22, 2021
Subject: PhD/Postdoc Postion, High Performance Computing

We have multiple open positions on the PhD/PostDoc level in the field
of numerical linear algebra, high performance computing, and high
performance computing applications. Knowledge of C++ is mandatory,
experience in sustainable software development (git, CI, unit tests,
etc.) is a plus.

We are an agile and diverse research group with backgrounds in
computer science, mathematics, and computational science, and focus on
developing algorithms and applications for the next generation
supercomputers. We put a strong emphasis on sustainable software
development and disseminate our products as open source community
software. We are involved in the German NHR initiative, the EuroHPC
initiative, and the US Exascale Computing Project. If you are
interested in doing cutting-edge research in high performance
computing, working in a collaborative software development,
experiencing an international research environment, and contributing
to prestigious national and international HPC projects, we would like
to see your application.

Please send applications along with a detailed CV to

From: Heike Sill
Date: March 22, 2021
Subject: PhD Position, Applied Mathematics, WIAS, Germany

WIAS invites applications for a PhD student position (f/m/d)
(Ref. 21/10) in the Research Group 'Numerical Mathematics and
Scientific Computing' (Head: Prof. Dr. Volker John, Supervisor: Dr.
Alfonso Caiazzo) starting at May 1st, 2021 or at the earliest possible
date thereafter.

The position is framed within the DFG funded project "Computational
Multiscale Methods for the Inverse Estimation of Effective Properties
of Poroelastic Tissue", a collaboration between the WIAS and the Chair
of Computational Mathematics of the University of Augsburg (Head:
Prof. Dr. Daniel Peterseim). The project aims to develop
computational multiscale models and inversion algorithms to support
modern clinical imaging techniques based on Magnetic Resonance
Elastography (MRE). MRE combines magnetic resonance images with
mathematical and physical models in order to recover, in vivo and
non-invasively, information about the elastic behavior and mechanical
parameters of human tissues. The purpose of the project is to develop
novel mathematical descriptions of vascularized tissues and efficient
computational tools for numerical simulations and for the solution of
related inverse problems.

The research will build on the existing collaboration with the MRE
group at the Department of Radiology of the Charite-Universiatsmedizin
Berlin (Prof. Dr. Ingolf Sack) and the Department Diagnostische und
Interventionelle Radiologie of the Universitatsklinikum Augsburg
(Prof. Dr. med. Thomas Kroncke). We are looking for candidates with a
master's degree and a strong background in computational mathematics
and scientific computing, with interest in medical applications. Prior
knowledge in continuum mechanics, homogenization theory, or finite
element methods are beneficial.

See here for more information:

From: Alexander Shapeev
Date: March 25, 2021
Subject: PhD Position, ML for Atomistic Models, Skoltech, Moscow

A PhD position in the development of machine learning-assisted
algorithms for interatomic interaction modeling is open in Alexander
Shapeev's group, Skoltech, Moscow, Russia. Research activities
include developing, coding, and testing computational methods based on
both machine learning and classical modeling. The main requirements
are a strong background in computational methods or machine learning,
and experience with programming in C/C++ and/or Python. The work will
be in close collaboration with materials scientists to jointly
validate and apply the developed algorithms.

A successfully graduated PhD student will be awarded an
internationally recognized PhD degree in Mathematics. English is a
working language at Skoltech. The candidates should have at least an
upper-intermediate level of English language. The PhD position comes
with a scholarship. Applications will be reviewed in two batches (to
be reviewed in the first batch the application should be submitted by
April 18, for the second batch - till August 1). The starting date of
the position is November 1, 2021. The duration of the position is 4
years subject to satisfactory performance.

For more details please visit

From: Benjamin Unger
Date: March 28, 2021
Subject: PhD Position, Port-Hamiltonian Systems, Univ of Stuttgart

We call for applications for a Ph.D. position in the junior research
group for dynamical systems within the cluster of excellence
simulation technologies (SimTech) at the University of Stuttgart,
Germany, to work in the area of energy-based models.

Research activities of this Ph.D. position focus on the novel methods
to construct physically meaningful models solely from data using the
framework of port-Hamiltonian systems. The research tackles a
fundamental question: to guarantee the physical behavior of a coupled
dynamical system learned from data and (partial) differential
equations derived from first-principles. To ensure an efficient
evaluation of the resulting systems, the candidate will develop and
implement structure- preserving model-order reduction methods. The
research results will contribute to a new data-integrated simulation
paradigm prevalent in future high-tech initiatives in systems
engineering, such as the digital twin methodology.

The complete call, including all application details, is posted here:

This open position is expected to be filled as soon as possible. You
are welcome to contact Dr. Benjamin Unger
( for further information. We
accept applications until April 09, 2021.

From: Benjamin Unger
Date: March 28, 2021
Subject: PhD Position, Time-Discretization, Univ of Stuttgart, Germany

We call for applications for a Ph.D. position in the junior research
group for dynamical systems within the cluster of excellence
simulation technologies (SimTech) at the University of Stuttgart,
Germany, to work in the area of numerical analysis for semi-explicit
time-discretization methods.

Research activities of this Ph.D. position focus on the development
and analysis of time-integration schemes for coupled partial
differential equations (PDEs) that describe the deformation of a
porous media saturated by fluid networks. The research results will
contribute to user- friendly and at the same time highly optimized
time-stepping schemes that serve as a key enabler for 3-dimensional
applications. The expected analysis is strongly connected to delay
equations as well as differential- algebraic equations.

The complete call, including all application details, is posted here:

This open position is expected to be filled as soon as possible. You
are welcome to contact Dr. Benjamin Unger
( for further information. We
accept applications until April 09, 2021.

From: Laura Scarabosio
Date: March 24, 2021
Subject: PhD Position, Uncertainty Quantification, Radboud Univ

There is an opening for a PhD position in Numerical Analysis for
Uncertainty Quantification at the Radboud University, Nijmegen, the
Netherlands. The project will be supervised by Laura Scarabosio. More
details on the vacancy and the application procedure can be found at

The deadline for applications is 7 May 2021.

From: Cluster of Excellence Mathematics M=C3=BCnster mm.application@uni-mue=
Date: March 23, 2021
Subject: PhD Positions, Mathematics, Univ of Munster

Be part of Mathematics Munster! Dive into your own research project
and benefit from the excellent research environment at the University
of Munster, Germany. Doctoral positions, as well as Ada Lovelace
Fellowships 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. Details: Salary level E13 TV-L, 75% for three years; In
all research areas related to the Cluster of Excellence; The duration
of the PhD positions is three years; The expected starting date is no
later than October 2021; Apply until May 1st 2021.

Apply now: Ada Lovelace Fellowships

If you plan to do your doctoral studies with one of the groups at the
department, why not apply for one of our Ada Lovelace Fellowships for
excellent PhD students? With the Fellowship Mathematics Munster
supports underrepresented groups and aims to increase gender equality
in mathematics. Details: salary level E13 TV-L, 25% add on (salary
raise) for up to three years; offered to exceptionally strong
candidates in the PhD programme; increasing gender equality within the
mathematical sciences; supplementing doctoral positions: applications
may also be combined with the application for a 75% PhD position.

Find more information on positions, requirements and online
application form at:

From: Stefan Engblom
Date: March 26, 2021
Subject: PhD Positions, Optimization, Data-driven Modeling and ML

Uppsala university, Dept of Information Technology has three PhD
student positions open. The research projects for the advertised
positions will be within the areas of optimization and mathematical
modeling of dynamical systems, both from data and underlying physical
principles. They feature for instance machine learning, Bayesian
estimation, and optimization based on models in the form of partial
differential equations.

The projects proposed include:
1. Optimization of deep brain stimulation
2. Data-driven epidemiological modeling
3. Improved optimization using machine learning

Detailed information can be found here:

From: Communications on Applied Mathematics and Computation
Date: March 22, 2021
Subject: Contents, Comm on Applied Mathematics and Comp, 3(1)

Communications on Applied Mathematics and Computation, Volume 3,
Issue 1 (2021)


Efficient Difference Schemes for the Caputo-Tempered Fractional
Diffusion Equations Based on Polynomial Interpolation, Le Zhao, Can
Li, Fengqun Zhao

A Numerical Algorithm for the Caputo Tempered Fractional Advection-
Diffusion Equation, Wenhui Guan, Xuenian Cao

A Unified Petrov-Galerkin Spectral Method and Fast Solver for
Distributed-Order Partial Differential Equations, Mehdi Samiee, Ehsan
Kharazmi, Mark M. Meerschaert, Mohsen Zayernouri

A Modified Weak Galerkin Finite Element Method for the Biharmonic
Equation on Polytopal Meshes, Ming Cui, Xiu Ye, Shangyou Zhang

Focused Section on Matrix Computations, Zhong-Zhi Bai

The Nonlinear Lopsided HSS-Like Modulus-Based Matrix Splitting
Iteration Method for Linear Complementarity Problems with Positive-
Definite Matrices, Lu Jia, Xiang Wang, Xiao-Yong Xiao

Two Structure-Preserving-Doubling Like Algorithms to Solve the
Positive Definite Solution of the Equation $X-A^H {\bar X}^{-1} A=3DQ$,
Xiao-Xia Guo, Hong-Xiao Wu

Randomized Generalized Singular Value Decomposition, Wei Wei, Hui
Zhang, Xi Yang, Xiaoping Chen

A Class of Preconditioners Based on Positive-Definite Operator
Splitting Iteration Methods for Variable-Coefficient Space-Fractional
Diffusion Equations, Jun-Feng Yin, Yi-Shu Du

On the Preconditioning Properties of RHSS Preconditioner for Saddle-
Point Linear Systems, Ju-Li Zhang

On Convergence of MRQI and IMRQI Methods for Hermitian Eigenvalue
Problems, Fang Chen, Cun-Qiang Miao, Galina V. Muratova

End of Digest