NA Digest, V. 19, # 29

NA Digest Sunday, July 28, 2019 Volume 19 : Issue 29


Today's Editor:

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

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From: Pamela Bye pam.bye@ima.org.uk
Date: July 24, 2019
Subject: IMA Flood Risk, UK, Sep 2019


4th IMA International Conference on Flood Risk
12-13 September 2019 Swansea University Bay Campus, Wales, UK

Continuing from the successful series of previous IMA Conferences on
Flood Risk, the IMA is planning its 4th International Conference on
this topic in 2019 to bring together engineers, mathematicians and
statisticians working in the field. The conference intends to be used
as a forum for participants to meet and exchange their views on
important technical issues, new and emerging methods and technologies
in assessing flood risks in a world that is being altered by the
climate change and moving towards an uncertain future. The emphasis
will be on new developments in mathematical modelling methods,
statistical techniques in assessing flood risks, especially on
quantification of flood risks with a nonstationary climate and
modelling uncertainty. Methods and application of assimilating new
data from cutting-edge new type of observations will be among the
topics for discussion. The conference will be of interest to flood
defence practitioners; flood defence managers; statisticians,
mathematicians, civil engineers.

Invited Speakers
- Prof Michael Bruen, University College Dublin, Ireland
- Prof Guoqing Wang, Nanjing Hydraulic Research Institute, China
- Dr Judith Wolf , National Oceanography Centre, UK
- Dr Francesca Pianosi ,Bristol University, UK

Registration is now open via https://my.ima.org.uk/

For further information about this Conference, please visit our website:
https://ima.org.uk/11325/4th-ima-international-conference-on-flood-risk/



From: Sherry Li xsli@lbl.gov
Date: July 26, 2019
Subject: Deadline Extension, SIAM Combinatorial Scientific Computing, USA, Feb 2020


The CSC20 workshop will be held February 11-13, 2020, in Seattle,
Washington, USA. It will be co-located with the SIAM Conference on
Parallel Processing for Scientific Computing 2020 (PP20), February
12-15, 2020.

We are extending the paper submission deadline from August 1 to August
15, 2019. Please see the following website for submission details:
https://csc20.uni-jena.de/submissions.html


From: Renee Bennett rbennett@fullerton.edu
Date: July 26, 2019
Subject: Tenure Track Faculty Position, Applied Mathematics, CSU Fullerton


The Department of Mathematics at California State University,
Fullerton invites applications for a tenure-track position in applied
mathematics at the Assistant Professor level with appointment to begin
in August 2020.

Candidates for this position should be applied mathematicians with a
background in computation, numerical analysis, machine learning, and
mathematical modeling (with preference for statistical modeling).
Responsibilities include teaching undergraduate and graduate courses,
conducting research resulting in publications in high-quality
peer-reviewed journals, directing faculty-student collaborative
research, and advising students. The successful candidate will
contribute to the mathematics community at CSUF through teaching,
research, professional activities, and service on committees. In
particular, they will be expected to solicit industrial consulting
projects for our graduate program in applied math, mentor the students
in completing these projects, and participate in the transdisciplinary
Center for Computational and Applied Mathematics (CCAM) within the
College of Natural Sciences and Mathematics.

Required Qualifications
The qualified candidate must have a Ph.D. in applied mathematics or a
related field, plus at least one year of post-doctoral experience
either in research, teaching, or a related industrial field.

Application Procedure
To apply, visit https://careers.pageuppeople.com/873/fl/en-us/listing
to view all job listings and search by ID Number 493543.

Application Deadline
To be assured full consideration, all application materials must be
received by October 07, 2019.



From: Matthias J Ehrhardt m.ehrhardt@bath.ac.uk
Date: July 23, 2019
Subject: Postdoc Position, Inverse Problems and Optimisation, Univ of Bath


A position exists for a Research Associate to work on the development
of algorithms for large-scale tomographic image reconstruction

This post is part of a collaborative project between mathematicians in
Bath and Cambridge, medical researchers and clinicians from
Addenbrookes' hospital and GE Healthcare, with support from advisors
from UCL, Oxford, Kings College London, University of Helsinki and KTH
Stockholm. See https://petpp.github.io for more details.

The successful candidate will have, or will be nearing the completion
of, a PhD degree in mathematics or a closely related
subject. Expertise in either optimisation, inverse problems or medical
imaging is desired.

The post carries no teaching or administrative duties. There are
generous funds available under the project for attending conferences
and conducting research visits.

This post is fixed-term for 3 years, starting on or as soon as
possible after 1 September 2019 by mutual agreement. Informal
enquiries about the role can be made to Dr Matthias Ehrhardt
(M.Ehrhardt@bath.ac.uk), however, please ensure that your application
is submitted via the University website.

For more details, see
https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=CC6696R



From: Roel Van Beeumen rvanbeeumen@lbl.gov
Date: July 23, 2019
Subject: Postdoc Position, Lawrence Berkeley National Laboratory


Berkeley Lab's Computational Research Division has an opening in the
Scalable Solvers Group for a Postdoctoral Scholar in the area of
Applied Mathematics with an emphasis on Quantum Computing. The
successful candidate will participate in research activities related
to the development of mathematical tools for quantum compiling that
are relevant to DOE and LBNL missions.

What You Will Do:
- Develop new and efficient numerical algorithms for quantum compiling
/ quantum circuit synthesis: the transformation of quantum
algorithms into a sequence of quantum gates.
- Develop and optimize numerical linear algebra techniques for
accelerating quantum compiling on near-term quantum hardware.
- Develop high performance software tools that can be integrated with
quantum compilers.
- Work in a multidisciplinary team environment including
mathematicians, computer scientists, and domain scientists.
- Author peer-reviewed journal articles.

What is Required:
- PhD in Mathematics, Computer Science, Computational Science, or
Engineering with a strong background in numerical linear algebra and
multi-linear (tensor) algebra.
- Knowledge of matrix decompositions, iterative methods, approximation
theory, sparse matrix techniques, and optimization is highly
desirable.
- Demonstrated experience to program proficiently in a high-level
programming language, such as C++/C/FORTRAN.
- Experience in parallel computing and be able to use MPI and OpenMP.
- Excellent verbal and written communication skills.

Additional Desired Qualifications:
- Knowledge of performance optimization for scientific codes.
- Knowledge of perturbation analysis and unitary matrix factorizations.
- Knowledge of quantum computing and quantum information is a plus.

Application can be submitted at:
https://jobs.lbl.gov/jobs/computational-mathematics-postdoctoral-scholar-1959



From: John Maddocks john.maddocks@epfl.ch
Date: July 22, 2019
Subject: Postdoc Position, Machine Learning, Freie Univ Berlin


In the context of a collaboration between
Professors Ch. Schuette (http://www.zib.de/schuette/) and
J.H. Maddocks (https://lcvmwww.epfl.ch/) supported by an
Einstein Foundation Berlin Visiting fellowship
(https://www.einsteinfoundation.de/en/people-projects/einstein-visiting-fellows/)
there is a postdoc position available to work on establishing
connexions between consensus protein binding site sequences and the
physical characteristics of the associated DNA fragment. The objective
of the project is to use the coarse-grain cgDNA model
http://cgdnaweb.epfl.ch/ https://lcvmwww.epfl.ch/research/cgDNA/ to
generate Gaussian approximations to the localised equilibrium
distributions of the DNA configuration in sliding windows along
genomes, with machine learning techniques used to characterise the
significant common features of the cgDNA Gaussians at known binding
sites for various proteins as identified in bioinformatics data
bases. The ideal candidate would hold a computationally oriented PhD
with a background in one or more of machine learning, bioinformatics
and mathematical modelling. The position is available as soon as
1.9.2019 with the ideal start date being no later than 1.1.2020. In
the first instance the contract will be for 12 months, with the
possibility of renewal on mutual consent at least for a further
year. Applications containing a CV and publication list, a
motivational statement, and names and email addresses of three
possible referees should be sent to john.maddocks@epfl.ch


From: Stefan Takacs stefan.takacs@ricam.oeaw.ac.at
Date: July 24, 2019
Subject: Postdoc Position, RICAM, Austria


We offer one research position for a Post Doc (one or two years)
within the project "Fast Solvers for Isogeometric Analysis" at the
Johann Radon Institute for Applied and Computational Mathematics
(RICAM) in Linz, Austria. The project is scheduled to start within the
year 2019. More information can be found online:

http://www.numa.uni-linz.ac.at/~stefant/personal/Call_PostDoc_RICAM_P31048.pdf


From: Konstantin Usevich konstantin.usevich@univ-lorraine.fr
Date: July 25, 2019
Subject: Postdoc Position, Tensor Methods/Machine Learning, France


We are happy to advertise a 1-year (renewable) postdoctoral position
to work on novel tensor-based methods for learning neural network
representations.

The successful candidate will be employed by the CNRS and based in the
CRAN laboratory (Nancy, France).

For more details, please see
http://w3.cran.univ-lorraine.fr/konstantin.usevich/?q=postdoc2019 .


From: Bradley Treeby b.treeby@ucl.ac.uk
Date: July 22, 2019
Subject: Postdoc Positions, Deep Learning and Software Engineering


We are currently advertising for two new post-docs to join the
biomedical ultrasound group. One is in the area of deep-learning, the
other in software engineering. Further details can be found at
http://bug.medphys.ucl.ac.uk/vacancies


From: Youzuo Lin ylin@lanl.gov
Date: July 25, 2019
Subject: Graduate Research Assistant Position, Deep Learning , Los Alamos NL


The T-5 Applied Mathematics and Plasma Physics Group in Theoretical
Division at Los Alamos National Laboratory (LANL) has an immediate
opening for a creative and resourceful Graduate Research Associate
with strong deep learning, programming, and computational science
skills. As a Research Associate, the selected candidate will develop
novel deep learning techniques and apply them to various applications
such as image analysis, time-series classification, and event
detection. The term of the appointment is 1 to 2 years; depending on
the performance and funding availability there are opportunities to
extend the appointment by transitioning to other types of LANL
positions. Minimum Job Requirements: Record of proficiency in deep
learning frameworks such as PyTorch, TensorFlow, Caffe2, or Keras;
Record of proficiency in Python; Demonstrated ability to work
independently and as a member of a team, with good communication
skills; Demonstrated ability to quickly learn new skills and knowledge
in a fast-paced research environment; Experience in application and
development of imagery analysis, computer vision, and signal
processing applications; Can provide sample code of previous work;
Publication record in high-impact journals, top-tier machine learning,
and related conferences would be a significant advantage. Education:
Completion of a Master's degree in Computer Science, Electrical
Engineering, Applied Mathematics, Computational Sciences, or a related
field within the past 3 years (Ph.D. students without a Master degree
are qualified for this position.); Cumulative GPA of at least a 3.2 is
required. The position does not require a security clearance. Selected
candidates will be subject to drug testing and other pre-employment
background checks.

Search for IRC75089 under jobs.lanl.gov or directly apply here:
https://jobszp1.lanl.gov/OA_HTML/OA.jsp?
page=/oracle/apps/irc/candidateSelfService/webui/VisVacDispPG&OAHP=IRC_EXT_SITE_VIS
ITOR_APPL&OASF=IRC_VIS_VAC_DISPLAY&akRegionApplicationId=821&trans\
actionid=2096014678&retainAM=N&addBreadCrumb=RP&p_svid=75089&p_spid=3411354
&oapc=9&oas=piUSZIthr9y1DH_O-XPGCg..

As part of the application process, please upload your transcripts,
cover letter, and resume. In addition to applying on-line, please send
a cover letter detailing qualifications, a curriculum vitae/resume,
and names of three references to Dr. Youzuo Lin (ylin@lanl.gov) and
Dr. Brendt Wohlberg (brendt@lanl.gov). The positions remain open until
they are filled.



From: Mourad Sini mourad.sini@oeaw.ac.at
Date: July 24, 2019
Subject: PhD and Postdoc Position, RICAM


One PhD, for 36 months, and two Postdoc positions, for 24 months each,
are available starting from February 1st 2020. These positions are
supported by the project 'Electromagnetism with Extreme Materials:
Modeling, Analysis and Applications' funded by the Austrian Science
Fund FWF.

PhD position. The candidate is required to have a Master degree, or an
equivalent one, in mathematical analysis or applied mathematics. The
application for this position includes: CV, Master degree, Master
thesis and names/emails of at least two persons who are willing to
write recommendation letters if needed.

Postdoc positions. The candidate are required to have a PhD degree or
an equivalent one in topics related to the analysis of PDE's and
applications. We are, in particular, seeking for candidates who are
familiar with integral equations or /and asymptotic analysis
methods. The application for this position includes: CV, PhD degree,
PhD thesis (or research articles if available), motivation letter and
names/emails of at least two persons who are willing to write
recommendation letters if needed.

The documents can be sent (in one pdf file) to Mourad Sini
(mourad.sini@oeaw.ac.at). The deadline for application is December
31st 2019.

The selected candidates will be located at RICAM
(https://www.ricam.oeaw.ac.at/), Linz, Austria.


From: Sebastian Sager sager@ovgu.de
Date: July 22, 2019
Subject: PhD/Postdoc Position, Optimization, Magdeburg


At the Institute for Mathematical Optimization at Otto-von-Guericke
Universitat Magdeburg, Germany, a fully funded position (TVL E13) for
a Phd student or postdoctoral researcher is available.

Depending on the scientific interest of the candidate the position
will be linked to one of the working groups of Prof. Sebastian Sager
or Prof. Volker Kaibel. The position involves a teaching duty of four
hours per week. The research of the institute covers a wide spectrum
in continuous and discrete optimization. The DFG Research Training
Group 'Mathematical Complexity Reduction'
(https://www.mathcore.ovgu.de) and the active research environment of
the institute offer many possibilities for PhD students and postdocs.

For further information look at
http://www.math.uni-magdeburg.de/institute/imo/ag_kaibel/ or
https://mathopt.de. If interested, please contact sager@ovgu.de or
kaibel@ovgu.de.



From: Heike Sill heike.sill@wias-berlin.de
Date: July 24, 2019
Subject: PhD Position, Thermodynamic Modeling and Analysis, Germany


The Weierstrass Institute for Applied Analysis and Stochastics (WIAS)
is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB
comprises eight non-university research institutes in Berlin which are
funded by the federal and state governments. The research institutes
are members of the Leibniz Association. WIAS invites applications for
a PhD Student Position (f/m/d) (Ref. 19/20) in the Research Group
'Thermodynamic Modeling and Analysis of Phase Transitions' (Acting
Head: Prof. Dr. Barbara Wagner) starting at the earliest possible
date. The position is associated with the research project "Dynamic
Wetting and de-wetting of viscous liquid drops/films on viscoelastic
materials" within the framework of the newly established DFG Priority
Programme "Dynamic Wetting of Flexible, Adaptive and Switchable
Surfaces" (SPP 2171). Within the first funding period (2019-2022) the
research will focus on mathematical modeling, analysis and numerical
solution of dynamics and morphologies of liquids interacting with
soft, viscoelastic and responsive materials. The aim is to discover
the underlying fundamental physical principles for these systems and
derive and analyse appropriate mathematical models to understand,
predict and design many of their technological and biological
applications. The research will be conducted in collaboration with
experimentlists and other theoretical scientists as well as doctoral
students within the Priority Pogramme SPP2171. The successful
candidate will hold a Master degree in Mathematics or Physics. The
applicant should have a solid background in mathematical analysis
and/or numerical methods involving partial differential equations and
welcome interdisciplinary research. Proficiency in computer languages
will be an asset. Please direct your queries to Prof. Dr. Barbara
Wagner (Barbara.Wagner@wias-berlin.de). The appointment is initially
limited for three years. The reduced work schedule is 29,25 hours per
week, and the salary is according to the German TVoeD scale. The
Institute aims to increase the proportion of women in this field, so
applications from women are particularly welcome. Among equally
qualified applicants, disabled candidates will be given preference.
Among equally qualified applicants, disabled candidates will be given
preference. Please upload your complete application documents
(motivation letter, detailed CV, certificates, list of MSc courses and
grades, copy of the master thesis, reference letter, etc.) via our
website or via the applicant portal until September 30th, 2019 using
the button "Apply online".



From: Alexander Ostermann alexander.ostermann@uibk.ac.at
Date: July 27, 2019
Subject: PhD Positions, NA/Scientific Computing, Univ of Innsbruck


The numerical analysis group [1] at the University of Innsbruck is
looking to fill a number of PhD positions in the area of numerical
analysis and scientific computing. Successful applicants will be
employed as 'Doctoral candidates'. Potential candidates are encouraged
to contact either Alexander Ostermann (alexander.ostermann@uibk.ac.at)
or Lukas Einkemmer (lukas.einkemmer@uibk.ac.at).

In particular, there are openings for the following four positions.
- PhD position funded by the University of Innsbruck. More information
can be found at [2]. The deadline for application is the 4th of
August 2019.
- PhD position within the framework of the FWF project 'Exponential
Integrators for Problems in Magnetohydrodynamics'. More information
can be found at [3]. Applications that arrive before 30.09.2019 will
be given preferential treatment.
- Two PhD positions are open in the Marie Sklodowska-Curie project
'DOCC: Dynamics of Complex Continua'. More information on the
application process can be found at [4]. The deadline is the 10th of
September 2019.

[1] https://numerical-analysis.uibk.ac.at/
[2] https://orawww.uibk.ac.at/public/karriereportal.details?asg_id_in=10701
[3] https://numerical-analysis.uibk.ac.at/images/fwf-position.pdf
[4] https://docc.eu



From: Arieh Iserles ai10@cam.ac.uk
Date: July 22, 2019
Subject: Contents, Acta Numerica 28 (2019)


The contents of Acta Numerica 2019 are

Solving inverse problems using data-driven models, Simon Arridge,
Peter Maass, Ozan Oktem, Carola-Bibiane Schonlieb

Numerical analysis of hemivariational inequalities in contact
mechanics, Weimin Han, Mircea Sofonea

Derivative-free optimization methods, Jeffrey Larson, Matt Menickelly,
Stefan M. Wild

Numerical methods for Kohn-Sham density functional theory, Lin Lin,
Jianfeng Lu, Lexing Ying

Approximation algorithms in combinatorial scientific computing, Alex
Pothen, S. M. Ferdous, Fredrik Manne

Data assimilation: The Schrodinger perspective, Sebastian Reich


From: lasiecka lasiecka@memphis.edu
Date: July 22, 2019
Subject: Contents, Evolution Equations and Control Theory, 8 (4)


The new issue EECT 8-4 December 2019 regular issue is now online.
https://www.aimsciences.org/journal/A0000-0000/2019/8/4

EVOLUTION EQUATIONS AND CONTROL THEORY
Volume 8 Number 4 December 2019

CONTENTS

Mohamed Ouzahra, Controllability of the semilinear wave equation
governed by a multiplicative control

Jamel Ben Amara and Emna Beldi, Simultaneous controllability of two
vibrating strings with variable coecients

Duo Wang, Zheng-Fen Jin and Youlin Shang, A penalty decomposition
method for nuclear norm minimization with l1 norm delity term

Hongwei Wang and Amin Esfahani, Well-posedness and asymptotic behavior
of the dissipative Ostrovsky equation

Giuseppe Maria Coclite and Lorenzo di Ruvo, Discontinuous solutions
for the generalized short pulse equation

Suma'inna, Hirokazu Saito and Yoshihiro Shibata, On some nonlinear
problem for the thermoplate equations

Julius Fergy T. Rabago and Hideyuki Azegami, A new energy-gap cost
functional approach for the exterior Bernoulli free boundary problem

Ryo Ikehata and Shingo Kitazaki, Optimal energy decay rates for some
wave equations with double damping terms

Adriana Flores de Almeida, Marcelo Moreira Cavalcanti and Janaina Pe-
droso Zanchetta, Exponential stability for the coupled Klein-Gordon-
Schrodinger equations with locally distributed damping

Mattia Turra, Existence and extinction in nite time for Stratonovich
gradient noise porous media equations

Cecilia Cavaterra, Denis Enachescu and Gabriela Marinoschi, Sliding
mode control of the Hodgkin{Huxley mathematical model

End of Digest
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