NA Digest, V. 20, # 2

NA Digest Sunday, January 12, 2020 Volume 20 : Issue 2


Today's Editor:

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

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http://icl.utk.edu/na-digest/


From: Karel Segeth segeth@math.cas.cz
Date: January 09, 2020
Subject: 2019 Babuska Prize Awarded


In December 2019, the Czech Association for Mechanics and the Union of
Czech Mathematicians and Physicists again awarded the I. Babuska Prize
for the best work in computational mechanics and computational
mathematics submitted by students and young scientists. The Prize
winner for 2019 is Dr Filip Roskovec from the Faculty of Mathematics
and Physics of Charles University in Prague. The work honored is his
PhD thesis Goal-oriented a posteriori error estimates and adaptivity
for the numerical solution of partial differential equations.

Further winners were delivered diplomas of honor. The second position
was awarded to Dr Jan Blechta for his PhD thesis Towards efficient
numerical computation of flows of non-Newtonian fluids defended at the
Faculty of Mathematics and Physics of Charles University in Prague.

The third position belongs to Dr Martin Isoz from the Faculty of
Chemical Engineering of the University of Chemistry and Technology in
Prague who presented his PhD thesis Dynamics of rivulets and other
multiphase flows.

Further diplomas of honor were delivered to MS theses. The first
position in this category was taken by Eva Havelkova from the Faculty
of Mathematics and Physics of Charles University in Prague. The second
was Petr Cizek from the Faculty of Mechanical Engineering of the Czech
Technical University in Prague and the third position belongs to Petr
Kocis from the Faculty of Electrical Engineering of the Czech
Technical University in Prague.

The Prize was established in 1994 by an outstanding Czech
mathematician Ivo Babuska, now at the Oden Institute for Computational
Engineering and Sciences, University of Texas, Austin, TX.


From: Raffaele D'Ambrosio raffaele.dambrosio@univaq.it
Date: January 11, 2020
Subject: STRUCTAPP2020, Italy, Jan 2020


STRUCTAPP2020: A two-day workshop on structure-preserving
approximation of evolutive problems and applications

The workshop will be held at the University of L'Aquila (Italy), on
January 23-24, 2020.

The workshop is focused on recent advances in numerical modeling for
evolutive problems (such as Ordinary and Partial Differential
Equations, Stochastic Differential Equations, Geometric Numerical
Integration) and relevant connections with related fields of Numerical
Analysis. Talks are on invitation basis.

Please refer to the webpage
http://people.disim.univaq.it/~raffaele.dambrosio/structapp2020.html
for more informations on the schedule.

The workshop is organized within the activities of the projects GNCS-
INDAM 2019 "Evolutive problems and their discretizations: linear and
nonlinear stability issues" and PRIN 2017 "Structure preserving
approximation of evolutionary problems".

Contact:
Raffaele D'Ambrosio
http://people.disim.univaq.it/~raffaele.dambrosio/



From: Carola Schönlieb cbs31@cam.ac.uk
Date: January 08, 2020
Subject: Workshop Celebrating Chris Budd, UK, Mar 2020


On the 4th of March 2020 we come together at the University of Bath
and celebrate the 60th birthday of our colleague, friend and
collaborator Chris Budd. The aim of this workshop is to bring
together collaborators, former PhD students and PostDocs of Chris to
celebrate him and his achievements in mathematical innovation over his
long and fruitful academic career.

List of speakers:
Alan Champneys (Bristol)
Melina Freitag (Potsdam, Germany)
Rachel Kuske (Northwestern University, US)
Cathryn Mitchell (Bath)
Mark Peletier (Eindhoven, Netherlands)
Hilary Weller (Reading)

Location: The event will be held in 4 West 1.7, University of Bath, on
Wednesday, 4 March 2020.

For more information on the event see here
https://sites.google.com/view/chrisbudd60/home
where you can also find a link to register if you are interested to
attend.



From: Marco Discacciati m.discacciati@lboro.ac.uk
Date: January 08, 2020
Subject: Deadline extension, UKACM Conference, UK, Apr 2020


The organising committee of the 2020 Conference of the UK Association
for Computational Mechanics has decided to extend the deadline for
abstract submission to 19th January 2020.

The 2020 Conference of the UK Association for Computational Mechanics
(UKACM, https://ukacm.org/) will take place on 1-3 April 2020 at
Loughborough University.

The conference will involve plenary lectures, contributed talks and a
school on advanced topics in computational mechanics.

Plenary speakers:
- Elias Cueto (University of Zaragoza)
- Joaquim Peiro (Imperial College London)
- Jun Zang (University of Bath)

The conference is supported by the Institute of Mathematics and its
Applications (IMA) and by the London Mathematical Society (LMS).
Financial support is available for full-time doctoral students
registered in Departments of Mathematics of UK universities. Please
contact the conference organisers for more information.

More information at: https://www.ukacm2020.ukacm.org/


From: Jim Stewart jrstewa@sandia.gov
Date: January 10, 2020
Subject: Rising Stars in Computational and Data Sciences, USA, Apr 2020


The Oden Institute for Computational Engineering and Sciences at UT
Austin and Sandia National Laboratories (SNL) are partnering together
to host Rising Stars in Computational and Data Sciences, an intensive
workshop for women graduate students and postdocs who are interested
in pursuing academic and research careers. The workshop will be held
April 7-8, 2020 at the Oden Institute in Austin, TX.

We are seeking nominations for outstanding candidates in their final
year of PhD or within three years of having graduated. We will select
approximately 30 women to come to Austin for two days of research
presentations, poster sessions, and interactive discussions about
academic and research careers, with travel expenses fully covered.

The nomination form requires (1) a letter of nomination and (2) a copy
of the nominee's resume.

Full details, including the nomination form and highlights from the
2019 event, are at https://risingstars.oden.utexas.edu/

Please consider nominating one of your outstanding current/recent PhD
students or postdocs. Nominations are due January 17, 2020.

On behalf of the organizing committee: Tammy Kolda (SNL), Jim Stewart
(SNL), Rachel Ward (Oden Institute), Karen Willcox (Oden Institute)


From: Vu Thai Luan luan@math.msstate.edu
Date: January 07, 2020
Subject: Computational Methods and Applications in Engineering, USA, May 2020


You are cordially invited to participate in "The Second International
Conference on Computational Methods and Applications in Engineering":
https://www.iccmae2020.math.msstate.edu, May 7-9, 2020 at Mississippi
State University (MSU).The conference consists of five plenary talks,
several parallel sessions, and contributed sessions. Proceedings of
the conference will be published in a special issue of the Journal of
Computational and Applied Mathematics (JCAM) by Elsevier.

The conference is a collaborative endeavor between the Department of
Mathematics and Statistics, and the Center for Computational Sciences
at MSU, and the three departments (Mechanical Engineering,
Mathematics, and Communications and Informatics) at Universitatea
Politehnica Timisoara (UPT), Romania. This interdisciplinary
conference will provide a joint forum where computational
mathematicians, scientists and engineers in USA and Europe exchange
research and develop ideas in the field of computational methods and
their applications.

A conference proposal has been submitted to the NSF to provide funding
to help support graduate students/recent Ph.D.s with their travel
expenses. Women and minorities are strongly encouraged to apply for
support.

IMPORTANT DEADLINES:
Online registration: March 31, 2020
Abstract submission: March 15, 2020.

For further information regarding the conference registration,
program, and submission of abstracts, etc., please visit
https://www.iccmae2020.math.msstate.edu Please contact the conference
organizers at iccmae2020@math.msstate.edu for any questions.



From: Jiguang Sun jiguangs@mtu.edu
Date: January 12, 2020
Subject: Eigenvalue Problems and Related Topics, China, May-Jun 2020


ICE 2020, May 30 - June 1, 2020, Beijing, China.

We wish to invite you to contribute to the International Conference on
Eigenvalue Problems and Related Topics (ICE 2020), held at
Computational Science Research Center, May 30 - June 1, 2020, Beijing,
China. Eigenvalue problems arise in many scientific and engineering
applications. The topics of the conference involve rapidly
developments at the frontiers on today's research related to
eigenvalue problems. The conference focuses on the following topics at
the forefront of research: 1) numerical approximation of PDE
eigenvalue problems; 2) eigensolvers of large, sparse, non-Hermitian
matrices; 3) eigenvalue problems arising from physics, big data
sciences, optimization, etc. The conference will feature plenary talks
given by international experts on the aforementioned topics and
mini-symposium talks mainly from junior researchers. We expect to have
a sequence of inspiring talks on various problems.

For more information, please see:
http://www.csrc.ac.cn/en/event/workshop/2019-12-25/99.html

Important Dates:
ICE 2020: May 30 - June 1, 2020
Abstract Deadline: Mar. 31, 2020
Registration Deadline: Apr. 30, 2020
Minisymposium Deadline: Mar. 31, 2020

Please contact Sining Wang (wangsining@csrc.ac.cn) with your questions
related to conference logistics.



From: Dominik Bartuschat dominik.bartuschat@cs.fau.de
Date: January 12, 2020
Subject: Deadline Extended, IHPCES 2020, The Netherlands, Jun 2020


CALL FOR PAPERS -- Submission Deadline Extension

Tenth International Workshop on Advances in High-Performance
Computational Earth Sciences: Applications and Frameworks (IHPCES
2020): https://www.cspp.cc.u-tokyo.ac.jp/IHPCES2020/

IHPCES 2020, the 10th workshop in the series of "Advances in
High-Performance Computational Earth Sciences" workshops, will take
place in conjunction with the ICCS 2020 Conference in Amsterdam, The
Netherlands, from June 3-5, 2020.

The objective of this series of workshops is to provide a forum for
presentation and discussion of state-of-the-art research in high
performance computational earth sciences. IHPCES workshops foster
communication between Earth scientists, applied mathematicians, and
computer scientists. The workshop therefore presents a unique
opportunity to exchange advanced knowledge, computational methods, and
science discoveries in computational geosciences.

Specific topics of interest include, but are not limited to:
Large-scale simulations on supercomputing systems in earth sciences
Advanced modeling and simulations on natural disaster prevention and
mitigation Advanced numerical methods for high performance
computational earth sciences Parallel and distributed algorithms and
programming strategies for supercomputers Software engineering for
parallel systems with multi-core processors and accelerators
Algorithms for Big Data analytics and applications for large-scale
data processing Methodologies and tools designed for extreme-scale
computing

We welcome full (up to 14 pages) and short (up to 7 pages) papers in
Springer LNCS format (we do not accept "Abstract Only" submissions).
All accepted papers will appear in the conference proceedings of
ICCS2020, published by Springer in its LNCS series.

February 7, 2020: Paper Submission Due (final extension)



From: Martin Stynes m.stynes@csrc.ac.cn
Date: January 10, 2020
Subject: Fractional-Derivative Conference, China, Jun 2020


The 4th Conference on "Numerical Methods for Fractional-Derivative
Problems" will be held at Beijing Computational Science Research
Center during 4-6 June 2020. The previous three workshops on this
topic, held at Beijing CSRC in 2017, 2018 and 2019, each attracted
more than 100 participants. This year's conference, in addition to
focusing on fractional derivative problems, will include a few talks
on the closely-related area of inverse problems.

Four confirmed main speakers are Bangti Jin (London), Natalia Kopteva
(Limerick), Abner Salgado (Tennessee) and Masahiro Yamamoto (Tokyo).
Other main and invited speakers, and full details regarding the
conference, will be listed on the conference website
http://www.csrc.ac.cn/en/event/workshop/2020-01-10/103.html

Some slots are still open for contributed talks; if you wish to submit
a talk, then please email fdworkshop2020@csrc.ac.cn your title and
abstract (between a half-page and one page) by 1 March 2020.

Registration at the conference website is now open.


From: Pamela Bye pam.bye@ima.org.uk
Date: January 08, 2020
Subject: Numerical Linear Algebra and Optimization, UK, Jun 2020


7th IMA Conference on Numerical Linear Algebra and Optimization
24-26 June 2020, Birmingham
https://ima.org.uk/12530/7th-ima-conference-on-numerical-linear-algebra-and-
optimization/

The IMA is pleased to announce the Seventh Biennial IMA Conference on
Numerical Linear Algebra and Optimization. The success of modern
codes for large-scale optimization is heavily dependent on the use of
effective tools of numerical linear algebra. On the other hand, many
problems in numerical linear algebra lead to linear, nonlinear or
semidefinite optimization problems. The purpose of the conference is
to bring together researchers from both communities and to find and
communicate points and topics of common interest. This Conference has
been organised in cooperation with the Society for Industrial and
Applied Mathematics (SIAM).

Conference topics include any subject that could be of interest to
both communities, such as: Direct and iterative methods for large
sparse linear systems; Eigenvalue computation and optimization;
Large-scale nonlinear and semidefinite programming; Effect of
round-off errors, stopping criteria, embedded iterative procedures;
Optimization issues for matrix polynomials; Fast matrix computations;
Compressed/sparse sensing; PDE-constrained optimization; Distributed
computing and optimization; Applications and real time optimization.

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

Key deadlines
Mini-symposia proposals: 31 January 2020
Abstract submission: 28 February 2020


From: Benjamin Ong ongbw@mtu.edu
Date: January 09, 2020
Subject: Parallel Time Integration Summer School, USA, Jun 2020


Michigan Tech is pleased to host the NSF CBMS Conference on Parallel
Time Integration, June 1 - June 5, 2020. The conference will feature
ten lectures in a summer school format by Professor Martin Gander
(University of Geneva), an expert in parallel time integration. For
more information, please visit http://conferences.math.mtu.edu/cbms2020 .

Travel support is available for early career researchers (students or
researchers who have held their graduate degree for fewer than five
years at the time of application). Travel support requests received by
03/31/2020 are assured of full consideration.

We kindly ask that you register before 05/15/2020 using the online
registration form: http://conferences.math.mtu.edu/registration

There is no registration fee to attend this conference.

For further information, please contact the local organizers (Benjamin
Ong @ Michigan Tech, Jacob Schroder @ University of New Mexico) at
pint@mtu.edu



From: Gerhard-Wilhelm Weber gerhard.weber@put.poznan.pl
Date: January 11, 2020
Subject: Deadline Extended, Logistics and SCM Systems, Poland, Jul 2020


On behalf of the Organizing Committee of ICLS 2020, we kindly invite
you to join the 15TH INTERNATIONAL CONGRESS ON LOGISTICS AND SCM
SYSTEMS. This multi-science event ICLS 2020 will be held during 1-3
July 2020, in Poznan, Poland.

Due to numerous requests for an extension of the abstract submission
deadline for the ICLS 2020 the Organizing Committee has decided to
extend the deadline for abstract submission till 25th Jan. 2020. Please
kindly submit your abstract using abstract's template through online
submission platform (Easychair).

Topics: The theme of ICLS 2020 is "Smart and sustainable supply chain
and logistics - trends, challenges, methods and best practices".
Topics include: sustainability in logistics, inventory and supply
chain management, smart logistics, trends and best practices in
production logistics and service logistics, trends and best practices
in SCM, new methods from analytics, mathematics and AI.

Important dates:
Abstract submission (extended): 25.01.2020
Notification date: 31.01.2020

More information about the conference can be found at the conference
website: http://icls2020.put.poznan.pl/
Please do not hesitate and contact us: icls2020@put.poznan.pl



From: Thiab Taha thiab@cs.uga.edu
Date: January 09, 2020
Subject: IMACS World Congress (IMACS2020), Italy, Oct 2020 


The 21st IMACS World Congress (IMACS2020) will be held in Rome,
Italy, October 6-9, 2020
(https://alice.rm.cnr.it/ocs/index.php/IMACS2020/IMACS2020)

The conference will include plenary talks, several parallel sessions,
and a poster session.

Plenary speakers:
- Remi Abgrall - University of Zurich, Switzerland
- Annie Cuyt - University of Antwerp, Belgium
- Michele Piana - Universita' di Genova, Italy
- Antonello Provenzale - Istituto di Geoscienze e Georisorse, CNR, Pisa,
Italy
- Andrea Tosin - Politecnico di Torino Italy

Deadlines:
- Mini-Symposia or Special Sessions (title, organizer, half-page
description, list of speakers and titles): May 31, 2020
- Contribution (Talk or poster) abstract: August 31, 2020

More information is available at:
https://alice.rm.cnr.it/ocs/index.php/IMACS2020/IMACS2020


From: Chris Goodyer chris.goodyer@arm.com
Date: January 12, 2020
Subject: Numerical Positions, ML and Arm Performance Libraries, Arm


Arm is recruiting at all levels for new people to come and join our
numerical libraries teams in Manchester, UK. In particular we are
putting together a new team building high performing library software
to tackle some of the key machine learning (ML) functions. The team
also works on BLAS, LAPACK and FFT technologies for server-class
Arm-based CPUs

We would expect applicants to be able to share skill-sets across
products so we are looking for people with experience of developing
performant numerical software and who will be keen to learn new skills
in a product- focused environment.

In addition to the numerical skills, we are also looking for someone
who can bring to the team a high level of knowledge of the application
and operation of common ML frameworks including Tensorflow, PyTorch
and MxNet.

Full job descriptions are available at:

- Lead numerical position: http://tinyurl.com/ryepm3z
- Other numerical positions: http://tinyurl.com/sy68d3j
- ML frameworks: http://tinyurl.com/usl9sh9

Please feel free to contact me with any questions.


From: Kendall H. Pierson khpiers@sandia.gov
Date: January 06, 2020
Subject: Staff Member Position, Computational Solid Mechanics, Sandia National Labs


We are seeking a full-time staff member with a focus on computational
solid mechanics, structural dynamics, and machine learning to join a
diverse software development team. Application areas include
large-deformation, large-strain, high-velocity impact scenarios for
large-scale finite element models of complex multi-component
structures. Working knowledge of constitutive models, parallel
processing, contact mechanics, and analyst sensibilities may be the
ideal candidate. A strong background in the areas of computational
mechanics, C++ software development, and high- performance computing.
You will assist in developing computational solid mechanics algorithms
on current and next generation hardware for a wide range of
anticipated use cases support the nuclear deterrence (ND)
mission. Expected outcomes include robust verified software,
documentation, example problems, conference presentations,
peer-reviewed journal publications and significant interactions with
Sandia staff in material science, computational science and solid
mechanics.

On any given day, you may be called on to: Develop C++ software of
computational solid mechanics capabilities in a large-scale finite
element-based application (SIERRA-SM and SIERRA-SD) towards supporting
mission critical use cases. Create test cases for verification,
performance at scale, and unit level foundational components will be
expected and necessary to support the maintenance and
development. Work in partnership with computational analysts in solid
mechanics to solve large scale problems of national
interest. Coordinate and interact with Sandia staff in mechanics,
computational science, and material science. Prepare presentation
materials and theory documents as part of conference presentations and
journal publications. Join our team and attain your dreams while
making a difference!

PhD in Mechanical, Civil, Aerospace Engineering, Physics, Applied
Mathematics, or related discipline. Experience in computational
mechanics, machine learning, and mathematics. Experience with C++
software development. Ability to obtain and maintain a DOE Q Security
Clearance.

Contact: Kendall H. Pierson, Manager, Computational Solid Mechanics
and Structural Dynamics, SNL khpiers@sandia.gov


From: Raul Tempone tempone@uq.rwth-aachen.de
Date: January 10, 2020
Subject: Postdoc Positions, KAUST and RWTH


Several Postdoctoral positions are currently available at KAUST and
RWTH for a collaborative project involving KTH and EPFL, with a
starting date of April 1, 2020. The candidates will be involved in the
three-year project "High Dimensional Hierarchical Optimization methods
for Machine Learning and Stochastic Optimal Control".

Background or expertise in one or more of the following areas will be
considered when selecting candidates: Machine Learning, Neural
Networks, Numerical solutions of PDEs and SDEs, Numerical
Optimization, Uncertainty quantification, Approximation Theory,
Applied Probability and Bayesian statistics, Optimal Control and
Dynamic Programming.

Strong interpersonal qualities from the candidates will be appreciated
as they will be working in a highly collaborative project and will be
expected to spend part of the time at the collaborating institutions.

Qualifications: A successful candidate has completed a PhD preferably
in the field of applied mathematics or computational engineering, or
in any field related to one or more of the aforementioned areas of
research. Excellent analytical, computational and programming skills
are expected. See also:
https://stochastic_numerics.kaust.edu.sa/Pages/JoinUs.aspx

Interested applicants should send their application to
stochnum@kaust.edu.sa

The positions will remain open until filled, but the candidate is
expected to join the team on April 1, 2020, or as soon as possible.


From: Bernie J. Daigle, Jr. bjdaigle@memphis.edu
Date: January 08, 2020
Subject: PhD Position, Computational Systems Biology, Univ of Memphis


Supervisor: Dr. Bernie Daigle, Jr., Assistant Professor, Departments
of Biological Sciences and Computer Science

Experimental biologists are generating data at an unprecedented rate.
Unfortunately, biological insight has not kept pace with this deluge
of data. The goal of my lab is to improve the inference of biological
meaning from the wealth of experimental data collected from single
cells to whole organisms. To do so, we develop sophisticated
statistical and computational tools that enable integrated analyses of
noisy, heterogeneous datasets. More information on the lab can be
found at http://daiglelab.org.

Assistantships are available for students interested in pursuing a
Ph.D. in computational systems biology. Our research in this area
involves developing and applying computational methods for inferring
gene regulatory networks (GRNs) from single-cell gene expression data.
Currently, we have openings on a project applying deep learning
techniques to rapidly and accurately infer GRNs from single-cell RNA-
sequencing data.

The successful candidate should be highly motivated and have some
Python programming experience. Prior research experience in
bioinformatics and/or computational biology is desirable. Details
about admission and degree requirements can be found at
http://www.memphis.edu/biology/graduate (PhD, Biological Sciences).
Applicants must apply to both The University of Memphis Graduate
School and the Biological Sciences graduate program. To ensure full
consideration, applications should be completed by February 1.
Accepted students will be supported through a graduate assistantship.

If interested, please first email Dr. Daigle (bjdaigle@memphis.edu)
your CV and a concise statement describing your interest in the
position, previous research experience, and relevant coursework.


From: Paolo Bientinesi pauldj@cs.umu.se
Date: January 08, 2020
Subject: PhD Position, Linear Algebra Compiler, Umea Univ, Sweden


The High-performance & Automatic Computing group at Umea University is
seeking a candidate for a fully funded position as Ph.D. student to
work on the development of Linnea [1], a high-performance compiler for
linear algebra computations. The position is for four years.

Depending on their skills and interests, the successful candidate will
work on a selection of the following topics, with the ultimate
objective to increase the adoption and the performance of Linnea [2].

Topics: Parallel generation, parallelism, symbolic operands sizes,
partitioned/blocked operands, matrix functions, loops & indexed
expressions, memory usage of generated code, sparse operands,
interface to tensor products.

For applications, please see the full announcement:
https://umu.varbi.com/en/what:job/jobID:307611/

The application deadline is February 15, 2020.

[1]: https://github.com/HPAC/linnea
[2]: https://arxiv.org/pdf/1912.12924.pdf


From: Christian Kreuzer christian.kreuzer@tu-dortmund.de
Date: January 08, 2020
Subject: PhD Position, Numerical Analysis, TU Dortmund Univ


At TU Dortmund University, a position for a scientific employee
(m/f/d) is available at the Faculty of Mathematics in the field of
Numerical Analysis for PDEs starting at the earliest possible date for
a period of three years. This position allows for research towards a
dissertation at the Faculty of Mathematics. According to public tariff
regulations, the salary is based on tariff group E13 TV-L with 75% of
the regular work time. An increase to 100% within the employment
period is possible. The position is in the field of numerics for
partial differential equations. In particular, we expect the
willingness of the applicant to participate in research projects in
the area of a posteriori error estimators, analysis of adaptive
methods and development of structure-preserving finite element methods.

In addition, the position involves the preparation and conduction of
courses (3 hours/week) as well as the supervision of students.

Candidates should fulfill the following requirements: Excellent
Master-level university degree in mathematics, technomathematics or a
closely related discipline. Good knowledge of Finite Element Methods
and Partial Differential Equations. Knowledge of the implementation
of numerical methods. Interest in further scientific training in the
field of numerics and analysis of partial differential equations.

The complete advertisement can be found under
http://www.mathematik.tu-dortmund.de/de/index/aktuelles/meldungen/Ausschreibung-E13-
Numerik-2020-01-07.html

TU Dortmund University strives to increase the number of women in
academic research and therefore encourages women to apply. We
explicitly note that applications of severely disabled persons are
welcome. Please send your application including copies of the usual
documents (motivation letter, CV, diplomas etc.) by mail until 02
February 2020 stating reference number w101-19 to:

Technische Universitat Dortmund
Fakultat fur Mathematik
Prof. Dr. Christian Kreuzer
Vogelpothsweg 87
44227 Dortmund, Germany.

Application deadline: February 2, 2020


From: Gregor Zoettl wiso-sekretariat-energie@fau.de
Date: January 08, 2020
Subject: PhD Position, Univ of Erlangen Nuremberg


We offer a doctoral candidate position to work on mathematical
equilibrium problems motivated by the analysis of energy
markets. Applicants should have a Master degree in mathematics,
operations research or mathematical economics.

The candidate will be part of the research team of the
Transregio-TRR-154, concerned with the mathematical modelling,
simulation and optimization using the example of gas networks. Please
see the complete details for this offer at
https://www.energiewirtschaft.rw.fau.de/files/2020/01/PhDPositionTRR.pdf

The deadline for all application materials is February 15, 2020 but
applications will be processed starting January 15. Please send your
applications at wiso-sekretariat-energie@fau.de.


From: Michele Benzi michele.benzi@sns.it
Date: January 12, 2020
Subject: PhD Positions, Scuola Normale Superiore, Pisa, Italy


Seven PhD Fellowships are available for students interested in
pursuing a PhD degree in Computational Methods and Mathematical
Modeling for the Sciences and Finance. Areas of specialization include
Numerical Analysis and Scientific Computing, Mathematical Models for
the Sciences and Finance, Computational Physics/Chemistry/Biology, and
Operations Research.

For instructions on how to apply and deadlines, please see
https://www.sns.it/en/admissions/phd/how-to-apply-for-the-post-graduate-course


From: Heike Sill heike.sill@wias-berlin.de
Date: January 10, 2020
Subject: PhD Positions, Stochastic Analysis in Interaction


The newly established, international Research Training Group 2544
(Graduiertenkolleg) on "Stochastic Analysis in Interaction" is a
collaborative venture of TU Berlin, HU Berlin, FU Berlin and WIAS in
collaboration with the University of Oxford, UK, aiming at research
training in the vibrant area of Stochastic Analysis.

Faculty II - Institute of Mathematics / Research Training Group 2544
(Graduiertenkolleg) Stochastic Analysis in Interaction Reference
number: II-937/19 (starting at 01/04/20 / until 31/03/23 / closing
date for applications 20/01/20)

Working field: Our PhD projects in stochastic analysis span from
fundamental mathematical questions to applications in Biology, Data
Science and Statistics, Finance, and Physics. Jointly supervised by
leading experts from Berlin and Oxford, the Berlin IRTG students will
form a team with a similarly large number of students on the Oxford
side, supported, e.g., by the Centre for Doctoral Training
"Mathematics of Random Systems".

Requirements: successfully completed university degree (Master, Diplom
or equivalent) in Mathematics or closely related disciplines strong
knowledge of stochastic analysis; good command of English or German,
together with good academic writing and presentation skills required;
the willingness to learn either English or German is expected;
eagerness to engage in exchange with Oxford partners, also during a
six months research visit in Oxford. More information can be obtained
from Prof. Dr. Bank (irtg2544@math.tu-berlin.de, Internet:
https://www.math.tu-berlin.de/IRTG/).

Please send your application with the reference number II-937/19 and
the usual documents (in particular short motivation letter, complete
and up-to-date curriculum vitae, names and contact details of at least
2 references whose letters should be available by the deadline of this
call, Bachelor's and Master's transcripts, certificates (with grades),
Masterss and Bachelor's thesis (if available)) preferably in English
as a single electronic document (pdf file) to irtg2544@math.tu-berlin.de
or in writing to Technische Universitat Berlin - Der Prasident -
Fakultat II, Institut fur Mathematik, Prof. Dr. Peter Bank, Sekr. MA
7-1, Strasse des 17. Juni 136, 10623 Berlin.

To ensure equal opportunities between women and men, applications by
women with the required qualifications are explicitly
desired. Qualified individuals with disabilities will be favored. The
participating institutions value the diversity of their members and
are committed to the goals of equal opportunities. Please send copies
only. Original documents will not be returned.

The vacancy is also available on the internet at
http://www.personalabteilung.tu-berlin.de/menue/jobs/


From: Computational methods of applied mathematics (CMAM) cmam@degruyter.com
Date: January 06, 2020
Subject: Contents, Computational Methods in Applied Mathematics, 2020(1)


COMPUTATIONAL METHODS IN APPLIED MATHEMATICS (2020), No 1

Equal-Order Stabilized Finite Element Approximation of the p-Stokes
Equations on Anisotropic Cartesian Meshes, Ahlkrona, Josefin / Braack,
Malte

On the Stable Difference Schemes for the Schrodinger Equation with
Time Delay, Ashyralyev, Allaberen / Agirseven, Deniz

Equilibrated Stress Tensor Reconstruction and A Posteriori Error
Estimation for Nonlinear Elasticity, Botti, Michele / Riedlbeck, Rita

Eigenvalue Problems for Exponential-Type Kernels, Cai, Difeng /
Vassilevski, Panayot S. (free access)

A New Probabilistic Interpretation of the Bramble-Hilbert Lemma,
Chaskalovic, Joel / Assous, Franck

Nonlinear Evolution Equations with Exponentially Decaying Memory:
Existence via Time Discretisation, Uniqueness, and Stability,
Eikmeier, Andre / Emmrich, Etienne / Kreusler, Hans-Christian (free
access)

Inversion of the Initial Value for a Time-Fractional Diffusion-Wave
Equation by Boundary Data, Jiang, Suzhen / Liao, Kaifang / Wei, Ting

A Priori Error Analysis of a Discontinuous Galerkin Scheme for the
Magnetic Induction Equation, Sarkar, Tanmay

An Effective Diffeomorphic Model and Its Fast Multigrid Algorithm for
Registration of Lung CT Images, Thompson, Tony / Chen, Ke

On p-Robust Saturation on Quadrangulations, Westerdiep, Jan



From: Ed Saff constr.approx@vanderbilt.edu
Date: January 07, 2020
Subject: Contents, Constructive Approximation, 51 (1)


Constructive Approximation
Volume 51, Issue 1, February 2020
Table of Contents

Sharp Results on Sampling with Derivatives in Shift-Invariant Spaces
and Multi-Window Gabor Frames, Karlheinz Groechenig, Jose Luis Romero,
Joachim Stoeckler

Quadrature Points via Heat Kernel Repulsion, Jianfeng Lu, Matthias
Sachs, Stefan Steinerberger

Rational Extension of the Newton Diagram for the Positivity of _1F_2
Hypergeometric Functions and Askey-Szego Problem, Yong-Kum Cho,
Seok-Young Chung, Hera Yun

Gaussian Bounds for the Weighted Heat Kernels on the Interval, Ball,
and Simplex, Gerard Kerkyacharian, Pencho Petrushev, Yuan Xu

Rational Solutions of the Painleve-III Equation: Large Parameter
Asymptotics, Thomas Bothner, Peter D. Miller

Weighted Norm Inequalities for Fractional Bergman Operators, Benoit
F. Sehba

Constructive Approximation
An International Journal for Approximations and Expansions
Published by Springer
http://link.springer.com/journal/365


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