NA Digest, V. 20, # 6

NA Digest Sunday, February 09, 2020 Volume 20 : Issue 6


Today's Editor:

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

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html

Submissions for NA Digest:

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


From: Phillipe R. Sampaio sampaio.phillipe@gmail.com
Date: February 07, 2020
Subject: DEFT-FUNNEL release, a derivative-free global optimization solver


I am glad to announce the release of DEFT-FUNNEL, a free open-source
global optimization solver for constrained grey-box and black-box
problems in Matlab.

Paper: https://arxiv.org/abs/1912.12637
Github repos: https://github.com/phrsampaio/deft-funnel

DEFT-FUNNEL builds local (at most fully quadratic) interpolation
models from known function values for the black-box functions. It
solves the nonlinear problem using a SQP trust-region-based algorithm
where an active-set method is applied for handling the bound
constraints and where the convergence is driven by a funnel bound on
the constraint violation.

In order to find the global minimum, it makes use of a
clustering-based multistart technique called Multi-Level Single
Linkage to select the starting points of the local searches done by
the SQP algorithm.

Please feel free to give any feedback.



From: Umberto Villa uvilla@wustl.edu
Date: February 04, 2020
Subject: Introducing hIPPYlib, a python-based inverse problems solver library


We are pleased to announce the availability of hIPPYlib, an extensible
software framework for solving large-scale deterministic and Bayesian
inverse problems governed by partial differential equations (PDEs)
with (possibly) infinite-dimensional parameter fields. The development
of this project is being supported by the National Science Foundation.

The current version of hIPPYlib is 3.0 and can be downloaded from:
https://hippylib.github.io

This computational tool implements state-of-the-art scalable
adjoint-based algorithms for PDE-based deterministic and Bayesian
inverse problems. It builds on FEniCS for the discretization of the
PDE and on PETSc for scalable and efficient linear algebra operations
and solvers.

For more details, please check out the manuscript:
http://arxiv.org/abs/1909.03948

For additional resources and tutorials please check out the teaching
material from the 2018 Gene Golub SIAM Summer School on ``Inverse
Problems: Systematic Integration of Data with Models under
Uncertainty" available at http://g2s3.com.

Umberto Villa, Noemi Petra and Omar Ghattas



From: Brigitte Forster brigitte.forster@uni-passau.de
Date: February 03, 2020
Subject: Mathematical Signal and Image Analysis, Germany, Mar-Apr 2020


The next GAMM MSIP Assembly 2020 will take place as a Workshop on
Mathematical Signal and Image Analysis in the TUM Science and Study
Center Raitenhaslach (near Burghausen, Germany) from March 30 to April
2, 2020. The registration deadline is February 15, 2020. More
information can be found at
http://www-m15.ma.tum.de/Allgemeines/MSIA20.


From: Shuwang Li sli@math.iit.edu
Date: February 04, 2020
Subject: Midwest Numerical Analysis Day, USA, Mar 2020


This is a friendly reminder that the 2020 Midwest Numerical Analysis
Day will be held on:

Place: Missouri University of Science and Technology, Rolla, Missouri.
Time: March 20-21, 2020.
Local committee: The local host committee is chaired by Prof. Xiaoming
He (hex@mst.edu).

Conference webpage: http://web.mst.edu/~hex/MWNAD/MWNAD2020.html ,
where you can find all useful information about the conference. Also
please note that there will be a special issue on a decent journal
devoted to this meeting.


From: Kimberly McCabe kimberly@simula.no
Date: February 06, 2020
Subject: Summer School in Computational Physiology, Norway/USA, Jun-Aug 2020


Simula Research Laboratory, Oslo, Norway, June 15-26
University of California San Diego, La Jolla, CA, USA, August 10-18

In conjunction with the University of California San Diego, Simula
Research Laboratory is pleased to announce the 7th edition of our
annual Summer School in Computational Physiology. This school focuses
on multiscale modelling of electrophysiology and mechanics of the
heart, and related material in computational neurophysiology and
pharmacology.

We are currently seeking master's and early doctoral students to
participate, and will accept applications until February 21st
2020. The initial series of lectures will be hosted by Simula Research
Laboratory in Oslo, Norway (June 15th-26th), followed by project work,
a workshop in scientific writing from Nature Masterclasses, and final
student presentations hosted by the University of California San Diego
from August 10th-18th. The travel and accommodation expenses for
successful applicants will be supported by grants from Simula designed
to cover these costs. Details regarding scheduling, logistics, core
scientific material, and the application process can be found through
our online call for participation: www.simula.no/sscp

Contacts:
Scientific content: Kimberly McCabe (kimberly@simula.no)
General inquiries: sscp@simula.no



From: Pamela Bye pam.bye@ima.org.uk
Date: February 07, 2020
Subject: Modelling in Industrial Maintenance and Reliability, UK, Jul 2020


Park Plaza, Nottingham, UK 14-16 July 2020
https://tinyurl.com/IMAMIMAR

The 11th International Conference on Modelling in Industrial
Maintenance and Reliability (MIMAR) will take place in Nottingham, UK
from 14 - 16 July 2020. This event is the premier maintenance and
reliability modelling conference in the UK and builds upon a very
successful series of previous conferences. It is an excellent
international forum for disseminating information on the
state-of-the-art research, theories and practices in maintenance and
reliability modelling and offers a platform for connecting researchers
and practitioners from around the world. The submission deadlines for
abstracts and the optional full paper for inclusion in the Conference
Proceedings are listed below. Papers submitted can be considered for
inclusion in a Special Issue of the Journal of Risk and Reliability:
Proceedings of the Institute of Mechanical Engineers Part O on
Advanced Maintenance Modelling for Industrial Systems. All
submissions are subject to rigorous review before an acceptance
decision is made. We hope you can attend and we will provide a warm
welcome in Nottingham in 2020. For further information on the
conference, including instructions for authors, please visit the
conference webpage: https://tinyurl.com/IMAMIMAR

The scope of the conference includes: Engineering Economy and Cost
Analysis; Life cycle/performance analysis; Maintenance and Reliability
Modelling; Prognostics and Health Management; Reliability and
Maintenance Engineering; Safety, Security and Risk Management; Spare
Parts Supply Chain Management; Warranty Management and Data Analysis.
Presentations are encouraged on the theory or application of
maintenance and reliability for: Autonomous Systems; Cyber-physical
systems; Data Mining and Machine Learning; Decision Analysis and
Methods; Human Factors; Information Processing and Engineering;
Manufacturing Systems; Expert Elicitation; Operational Research;
Production Planning and Control; Quality Control and Management;
Resilience Engineering; Sustainability; Systems Modelling and
Simulation.

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

Abstracts of 100-200 words via https://my.ima.org.uk by 2 March 2020


From: John Bucher butcher@math.auckland.ac.nz
Date: February 03, 2020
Subject: Numerical ODEs, New Zealand, Aug-Sep 2020


This is an early announcement of the conference ANODE 2020 (Auckland
Numerical ODEs 2020) ANODE 2020 will be the next in a sequence of
meetings held every few years in Auckland, New Zealand. The number of
participants will be limited to about 60 so that every speaker will
have the opportunity to present a talk of up to 30 minutes to the
whole conference.

You are invited to subscribe to the conference by entering your email
address on the subscription section of the conference website:
https://anode20.wixsite.com/anode2020 . The effect of subscribing is
that you will receive updated information as this becomes available.
There will be no other effect.

You are invited to write to me, or another member of the organising
committee, to ask for additional information.

The key dates are:
- Registration opens: 15 March 2020
- Registration closes: 1 May 2020
- Conference dates: 31 August - 4 September 2020


From: Peter Lauritzen pel@ucar.edu
Date: February 07, 2020
Subject: Summer School on Earth System Model Development, USA, Aug 2020


Joint WCRP and DCMIP Summer School on Earth System Model
Development: Dynamical cores and physics-dynamics coupling
Dates: August 10-14. 2020
Location: Mesa Lab, National Center for Atmospheric Research
(NCAR), Boulder, CO, USA

The Dynamical Core Model Intercomparison Project (DCMIP) and its joint
World Climate Research Programme (WCRP) Summer School highlights the
newest modeling techniques for global Earth system models. The
overarching theme of this summer school is physics- dynamics coupling.
The objectives of the joint WRCP and DCMIP Summer School are (1) to
teach a group of 30 extraordinary multi- disciplinary students and
postdocs how today's and future atmospheric models are or need to be
built, and (2) to use idealized test cases to expose selected model
design choices in simplified modeling frameworks based on NCAR's
Community Earth System Model (CESM) and the Department of Energy's
(DOE's) Energy Exascale Earth System Model (E3SM). DCMIP-2020 thereby
continues the DCMIP-2008, DCMIP-2012 and DCMIP-2016 model
intercomparison and summer school series as well as the 1st and 2nd
WCRP summer school series on Climate Model Development.

FOR MORE INFORMATION
https://www.earthsystemcog.org/projects/dcmip-2020/ or contact
dcmip@cgd.ucar.edu

Travel support is available for approximately 30 students and
postdocs. Registration will open on or about March 31, 2020 and close
May 1, 2020. Invitations will be sent out by May 15, 2020.



From: Matthias Ehrhardt m.ehrhardt@bath.ac.uk
Date: February 07, 2020
Subject: The Mathematics of Machine Learning, UK, Aug 2020


LMS-Bath Symposium on The Mathematics of Machine Learning
University of Bath, UK
3rd-7th August 2020

Machine learning (ML) is currently undergoing a massive expansion, due
to the unprecedented availability of large amounts of data and
computational power. The last decade has seen tremendous improvements
in ML methods and achievements in many application areas including
(bio-) medical sciences, computer vision and finance to name but a
few. Remarkably, while ML relies on mathematical models and tools,
many ML algorithms do not have a rigorous mathematical foundation. One
reason for this is that ML has been historically developed as a
subfield of computer science rather than mathematics. Fundamental
analysis questions are open, such as convergence and convergence
rates, or the topology and geometry with which data should be studied.
It is essential that the mathematical community contributes to ML and
provides a solid underpinning of ML methods. This Symposium will
advocate the connection between ML and many mathematical disciplines,
such as numerical analysis, inverse problems, optimisation,
statistics, optimal transport, dynamical systems and partial
differential equations, in order to shed light into the mysterious
mathematical pathways of ML.

Call for Posters: In addition to the invited speakers, there is an
opportunity for early career researchers to attend the Symposium and
contribute a poster presentation. To apply, please submit a 1 page
abstract here by 13th March 2020. Please note that places are limited,
and notifications of acceptance will be sent out by 10th April 2020.

Please note that participants presenting a poster are responsible for
their own accommodation, subsistence and travel costs. However, there
is no registration fee for participation.


From: Tibor Csendes csendes@inf.u-szeged.hu
Date: February 07, 2020
Subject: Global Optimization, Hungary, Sep 2020


The 15th Workshop on Global Optimization will be held on September
1st- 4th, 2020, at the Hungarian Academy of Sciences, Szeged, Hungary.

The meeting intends to gather the operations research community from
different parts of the world to share experiences in the field of
global optimization. We invite participation from all areas related to
global optimization including: deterministic, stochastic, continuous,
and discrete mixed integer global optimization, as well as
applications, exact, and heuristic solution methods.

Contributions are welcome from academia, industry, or the public
sector. In addition to presentations, the meeting is intended to be a
forum for exchange of recent experiences and results. Researchers and
practitioners are invited to submit an abstract formatted according to
the given template. The submissions will be evaluated by a designated
scientific committee.

A special issue of Mathematical Programming B and Journal of Global
Optimization will be edited, which are privileged forums for the
papers presented at the meeting.

The basic early registration fee will be 300 Euro, that contains the
volume of abstracts, the room rentals, coffee breaks, lunches, a few
suppers, and some social programs as well.

For more details see https://www.inf.u-szeged.hu/hugo/


From: Axel Voigt axel.voigt@tu-dresden.de
Date: February 05, 2020
Subject: Faculty Position, Applied Mathematics, TU Dresden


Junior Professorship (W1) in Applied Mathematics (with Tenure-Track to
W2) at the Institute of Scientific Computing starting at the earliest
possible date. Following a positive evaluation, a permanent Chair
(W2) of Applied Mathematics will be granted without a renewed
selection process. The applicant should be able to represent an
innovative field in mathematical modeling and numerical simulation,
for example related to modeling and simulation of stochastic partial
differential equations or mathematical foundations and applications of
machine learning. In addition we expect cooperation within the Faculty
of Mathematics and other structural units of the TU Dresden. In
teaching, the applicant should primary take lectures in the area of
Applied Mathematics including courses in programming in German and
English language. Teaching responsibilities are first about 4 SWS and
can start in English language. Applicants must fulfill the employment
qualification enquirements Section 63 of the Act on the Autonomy of
Institutions of Higher Education in the Free State of Saxony
(SachsHSFG). TU Dresden seeks to employ more women professors. Hence
we would particularly encourage women to apply. Applications from
candidates with disabilities or those requiring with additional
support are very welcome. The university is a certified
family-friendly university and offers a dual career service. Please
send your application including a CV with academic background and
scientific development, a list of publications and third- party funds,
a list of teaching activities (if so: education courses and results of
evaluations) and copies of certificates until 12.03.2020 to: TU
Dresden, Dekan der Fakultat Mathematik, Herrn
Prof. Dr. rer. nat. habil. Axel Voigt, Hemholtzstr. 10, 01069 Dresden
and in electronic form via the TU Dresden SecureMail Portal
https://securemail.tu-dresden.de by sending it as a single pdf
document to dekanat.math@tu-dresden.de.



From: Karl Larsson karl.larsson@umu.se
Date: February 06, 2020
Subject: Tenure Track Position, Computational Mathematics, Umea Univ, Sweden


- Tenure track position as Assistant Professor in computational
mathematics
- 5 years with 80% research time and 20% teaching
- Note: Deadline for applications is 21.02.2020

Umea University, Sweden, is recruiting an Assistant Professor who will
conduct research in computational mathematics, broadly interpreted,
and contribute to the continued development of the research
environment in the field. Other tasks include teaching in
mathematics. Undergraduate programs at the department, with
academically strong students, offer the opportunity to supervise
graduate theses in collaboration with external partners. Additionally,
supervision of PhD students and postdocs, primarily in computational
mathematics, may be a possibility. The person employed is expected to
actively seek external funding for his or her research activities.

For further information and instructions on how to apply, see:
https://umu.varbi.com/en/what:job/jobID:306938/



From: Yolanda Tyler yntyler@uchicago.edu
Date: February 03, 2020
Subject: Instructional Professor Position, Statistics, Univ of Chicago


The University of Chicago, Instructional Professor (open rank)
Physical Sciences Division: Department of Statistics
Location: Chicago Illinois; Open Date: Jan 29, 2020

The Department of Statistics in the Physical Sciences Division at the
University of Chicago invites applications for educators of Statistics
to help grow our existing program. We invite applications for a
position as an Instructional Professor (open rank). The selected
candidate will be appointed at the rank of Assistant Instructional
Professor, Associate Instructional Professor, or Instructional
Professor, depending on qualifications and educational background. The
appointment will be for a term of up to five years. This is a
career-track position with potential progression, competitive salary,
and benefits. We particularly seek individuals who are committed to
help us continue to develop our educational mission in statistics and
data science. The terms and conditions of employment for this
position are covered by a collective bargaining agreement between the
Service Employees International Union (SEIU) and the University. By
the time of hire candidates must have completed all requirements for
the PhD in statistics or some field of mathematics or science where
statistical concepts or methods play an important role. Prior college
teaching experience, either as an instructor of record or as a
teaching assistant, is required. Candidates who are qualified to teach
undergraduate courses in one or more of the following areas are
preferred: theoretical and applied statistics, data science, machine
learning. Applications must be submitted online through the University
of Chicago's Academic Jobs website: http://apply.interfolio.com/73459.
Review of applications will begin on March 1, 2020 and will continue
until all positions are filled.

We seek a diverse pool of applicants who wish to join an academic
community that places the highest value on rigorous inquiry and
encourages diverse perspectives, experiences, groups of individuals,
and ideas to inform and stimulate intellectual challenge, engagement,
and exchange. The University of Chicago is an Affirmative
Action/Equal Opportunity/Disabled/Veterans Employer and does not
discriminate on the basis of race, color, religion, sex, sexual
orientation, gender identity, national or ethnic origin, age, status
as an individual with a disability, protected veteran status, genetic
information, or other protected classes under the law. For additional
information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the
application process should call 773-702-1032 or email
equalopportunity@uchicago.edu with their request.



From: Paolo Giannozzi paolo.giannozzi@uniud.it
Date: February 06, 2020
Subject: Software Development Position, IOM-CNR, Trieste


A post-doctoral position in the field of electronic-structure software
development is available at IOM-CNR, Trieste, Italy. The positions,
funded by the MaX - Materials at the exascale EU Horizon2020 Centre of
Excellence, is for one year, renewable for another year. A PhD in a
scientific discipline and research experience in computer simulations
and/or in scientific software programming is required. Experience with
density-functional theory (DFT) calculations, especially with the
plane wave-pseudopotential method, is a plus.

The successful candidate will work on the Quantum ESPRESSO software
distribution in one or more of the following topics, depending upon
his/her skill set:
- development of new methods and algorithms for advanced DFT
functionals;
- refactoring and modularisation of the code basis, notably for first-
principle molecular dynamics, linear response, computational
spectroscopy;
- porting of Quantum ESPRESSO new heterogeneous accelerated
architectures (e.g., GPUs);
- improvement of Quantum ESPRESSO user experience, users' and
developers' documentation, testing

The official announcement and forms are available at the following link:
https://bandi.urp.cnr.it/doc-assegni/documentazione/9530_DOC_IT.pdf
(English version at page 10 and 17-21). Interested people may contact
Paolo Giannozzi for more information.



From: Daniela daniela.diserafino@unicampania.it
Date: February 06, 2020
Subject: Research Grant Position, Univ of Campania


The Department of Mathematics and Physics of the University of
Campania "Luigi Vanvitelli" (Caserta, Italy) invites applications for
a 12- month research grant (28248.60 EUR gross salary) on "Numerical
methods for spectral and shape optimization problems". The research
will be performed as a part of the Project "VArIational methods and
Numerical techniques: sHape Optimization and nonlinear Partial
differential EquationS (VAIN-HOPES), funded by the V:ALERE 2019
Programme of the University of Campania "L. Vanvitelli". A research
line of this project aims at merging analytical and numerical skills
to shed new light in the comprehension and solution of the optimal
shape in spectral optimization problems coming from different fields
(biology, engineering and theoretical physics) which share as a key
property the variational structure. The research activity will focus
on developing numerical methods for computing approximate solutions of
the shape optimization problems which are the main target of the
VAIN-HOPES project, improving numerical optimization techniques that
are at the core of numerical approaches for spectral optimization
methods, providing support to the theoretical study of optimal shapes
and tools for the practical exploitation of the results.

Candidates are required to have a Master's degree and a background on
numerical methods for partial differential equations, nonlinear
optimization and spectral optimization. For instructions on how to
apply and deadlines, please see
https://www.unicampania.it/RipartizioniFS/RAG/Assegni_di_Ricerca/2020/DR69/Abstract_Ba
ndo_in_inglese_DR_N._69_DEL_29.01.2020.pdf
.



From: Mark Gates mgates3@icl.utk.edu
Date: February 06, 2020
Subject: Postdoc and Research Scientist Positions, Numerical Linear Algebra


The Innovative Computing Laboratory (ICL, http://icl.utk.edu/) at the
University of Tennessee is looking for bright, motivated researchers
to join our team. The primary duties of this position are to
participate in the design, development, and maintenance of numerical
software libraries for solving linear algebra problems on large
distributed memory machines with multicore processors and hardware
accelerators; to help write research papers documenting research
findings; to present the team's work at conferences; and to help lead
students and a research team in their research endeavors. There will
be opportunities for publication, travel, and high profile
professional networking in academia, labs, and industry.

Joining our team will offer qualified candidates exciting career
opportunities, such as participation in the Exascale Computing Project
(ECP) by the U.S. Department of Energy. Projects include, among
others:
- SLATE: distributed, GPU-accelerated dense linear algebra
http://icl.utk.edu/slate/
- PEEKS: GPU-accelerated sparse iterative methods
http://icl.utk.edu/peeks/
- heFFTe: distributed, GPU-accelerated 3D FFT
http://icl.utk.edu/fft/

We encourage both recent PhD graduates and seasoned HPC veterans to
apply. For more information, see "Research Position in Numerical
Linear Algebra" at http://www.icl.utk.edu/jobs

For consideration, send CV and contact information for three
references to Prof. Jack Dongarra (dongarra@icl.utk.edu).



From: Mingchao Cai Mingchao.Cai@morgan.edu
Date: February 06, 2020
Subject: Postdoc Position, Computational Math or PDE analysis, Morgan State Univ


A postdoctoral position in Computational Math (or PDE analysis) is
available at Morgan State University (Baltimore, Maryland, USA) in the
department of Mathematics. The work involves Finite element methods
and numerical analysis for fluid poroelastic structure interactions.
Candidates should have a Ph.D degree in Computational Mathematics or
in Engineering with background in Finite Element methods, high
performance computing, fluid mechanics, and/or structure mechanics.
Candidates who has strong background on PDE analysis (for example,
asymptotic analysis, homogenization, analysis of fluid mechanical
problems) are also very welcome. The position is available now and is
expected to be filled as soon as possible. The benefit include regular
salary (very competitive) plus insurance for your whole family members
($1,000/m charged by Morgan State University). The regular salary part
is negotiable based on the expertise of the candidates. Interested
candidates should contact Professor Mingchao Cai (see address below)
with a CV and a description of their background and research
interests.

Professor Mingchao Cai
Department of Mathematics
Morgan State University
1700 E Cold Spring Ln, Baltimore, MD, 21251

E-mail: Mingchao.Cai@morgan.edu


From: Kent-Andre Mardal kent-and@math.uio.no
Date: February 03, 2020
Subject: Postdoc Position, Computational Mechanics, Univ of Oslo


A Postdoc position is available at the University of Oslo, in the
field computational mechanics / numerics / PDE analysis.

Recent breakthroughs in medical research have proposed new
biomechanical mechanisms responsible for neurodegenerative diseases
such as Alzheimer's disease. The mechanism is an interaction of porous
and viscous flow inside and outside the brain that clears toxic
substances. This project aim to provide the next generation of
multi-scale/multi-physics models and software tools for modeling our
brain's physiology. The project will utilise finite element methods
(FEniCS) and machine learning techniques.

More details:
https://www.jobbnorge.no/en/available-jobs/job/182299/postdoctoral-research-fellow-in-
computational-mechanics-the-biomechanics-of-the-brain-in-health-and-disease



From: Raphael Kruse raphael.kruse@mathematik.uni-halle.de
Date: February 06, 2020
Subject: Postdoc Position, MLU Halle-Wittenberg, Germany


The Martin-Luther-University Halle-Wittenberg, Institute of
Mathematics, invites applications for a position as a Postdoctoral
Fellow (m-f-d) in full time, limited for 2.5 years. The position is
offered within the DFG funded research unit FOR 2402, project P3
"Numerical analysis of rough PDEs".

Requirements are
- a successfully completed PhD degree in mathematics
- a strong background in numerical analysis and stochastic analysis of
stochastic evolution equations
- experience in teaching and organizing university level courses in
mathematics
- good programming skills (preferably in Python)
- very good command of the German and/or English language

Application deadline: February 18th, 2020.

For the full advertisement, please go to
http://www.verwaltung.uni-halle.de/dezern3/Ausschr/20_5_825_20_H_engl.pdf

For further information, please contact Raphael Kruse,
raphael.kruse (at) mathematik.uni-halle.de


From: Santiago Badia santiago.badia@monash.edu
Date: February 02, 2020
Subject: Postdoc Position, Scientific Computing, Monash Univ


The School of Mathematics at Monash University (Melbourne, Australia)
invites applicants for a two year full-time postdoctoral position on
Scientific Computing and Numerical Analysis. The successful candidate
will work under the guidance of Prof Santiago Badia in one of the
research topics of his group, which are related to the numerical
approximation of partial differential equations (PDEs). Current lines
of research include: variational space-time approximations of PDEs on
unfitted meshes; deep ReLU networks for the discretisation of PDEs on
complex domains; nonlinear preconditioning for numerical PDEs;
PDE-constrained inverse uncertainty quantification for subsurface
modelling.

Applicants must have a PhD in Mathematics, Physics, Engineering or a
related field, with a strong background in numerical methods for
partial differential equations. The position is open to candidates of
any nationality and the selection based upon academic excellence.

More information about the position, salary details, and the
application procedure can be found in this link:
http://careers.pageuppeople.com/513/cw/en/job/602667/research-fellow-in-scientific-
computing-and-numerical-analysis

Informal enquiries regarding the position can be addressed to Santiago
Badia (santiago.badia@monash.edu). The closing date for applications
is 11 March 2020.



From: Patricio Farrell patricio.farrell@wias-berlin.de
Date: February 07, 2020
Subject: Postdoc Position, Weierstrass Institute Berlin (WIAS)


Candidates with an interest in numerically solving PDEs are invited to
apply for a postdoc position at the Weierstrass Institute Berlin
(WIAS). The candidate will be part of the newly established research
group on "Numerics for innovative semiconductor devices". The position
comes with travel funds, no teaching obligations (though teaching can
be arranged for if experience is desired) as well as international
collaboration partners.

The Weierstrass Institute is an applied maths institute, right in the
center of Berlin's flourishing mathematical landscape.

More details can be found here:
http://www.wias-berlin.de/jobs/job.jsp?lang=1&year=20&number=04

The deadline for applying is the 15th of March 2020.


From: Kent-Andre Mardal kent-and@math.uio.no
Date: February 03, 2020
Subject: PhD Position, Computational Mechanics / Numerical Analysis


A PhD position is available at the University of Oslo, in the field
computational mechanics / numerics / PDE analysis.

Recent breakthroughs in medical research have proposed new
biomechanical mechanisms responsible for neurodegenerative diseases
such as Alzheimer's disease. The mechanism is an interaction of porous
and viscous flow inside and outside the brain that clears toxic
substances. This project aim to provide the next generation of
multi-scale/multi-physics models and software tools for modeling our
brain's physiology. The project will utilise finite element methods
(FEniCS) and machine learning techniques.

More details:
https://www.jobbnorge.no/en/available-jobs/job/182301/phd-research-fellow-in-
computational-mechanics-the-biomechanics-of-the-brain-in-health-and-disease



From: Xing Cai xingca@simula.no
Date: February 04, 2020
Subject: PhD Position, HPC, Simula Research Laboratory


Simula Research Laboratory, Norway, invites excellent applicants for
an open PhD position in High-Performance Computing for Simulation
Ensembles.

Detailed info and online application form can be found here:
https://www.simula.no/about/job/call-phd-student-high-performance-computing-
simulation-ensembles

Application deadline: March 31, 2020. (Applications will be evaluated
on a rolling basis. The position will be filled as soon as possible.)


From: Alberto Paganini a.paganini@leicester.ac.uk
Date: February 09, 2020
Subject: PhD Position, Numerical Analysis, Univ of Leicester


The University of Leicester invites applications for a fully funded
3.5-year PhD studentship to work on the project "Optimizing telescope
design for X-ray astronomy missions" under the supervision of Dr
Alberto Paganini and Prof Emmanuil Georgoulis.

This project lies at the interface of numerical analysis, scientific
computing, and X-ray astronomy. The project will involve devising
efficient algorithms for structural optimization and developing
high-performance computing software for aerospace simulations.

The application deadline is 27 February 2020.

For informal inquiries, please contact
Dr Alberto Paganini at a.paganini@leicester.ac.uk

For a full project description and application details, visit
https://le.ac.uk/study/research-degrees/funded-opportunities/epsrc-studentships



From: Martin Redmann martin.redmann@mathematik.uni-halle.de
Date: February 03, 2020
Subject: PhD Position, Numerical and Stochastic Analysis, Univ of Halle, Germany


A PhD Studentship is available at the Interface of Numerical and
Stochastic Analysis at the University of Halle, Germany.

For more information, see
http://www.verwaltung.uni-halle.de/dezern3/Ausschr/20_5_826_20_H_engl.pdf?
fbclid=IwAR3gvF-grou8UIxF5WNqp6N1gRo6M8oXD1VmM5Qc1dbc4puQHXmBZ8JcFuU


From: Ulrik Skre Fjordholm ulriksf@math.uio.no
Date: February 09, 2020
Subject: PhD Position, PDE and Numerics, Univ of Oslo


A PhD research fellowship in Partial Differential Equations and
Stochastic Analysis is available at the Department of Mathematics at
the University of Oslo, Norway. The PhD position is linked to the
project INICE: Irregularity and noise in continuity equations, a Young
Research Talents project funded by the Research Council of Norway and
headed by Associate Professor Ulrik Skre Fjordholm.

The research will focus on the theory and/or numerical analysis for
partial differential equations that are degenerate, in one way or
another: Such equations are characterized by non-linearity (e.g.,
non-linear hyperbolic conservation laws), irregular coefficients
(e.g., continuity equations with irregular velocity fields),
non-uniqueness of solutions, singular or irregular solutions (e.g.,
measure-valued solutions), as well as the presence of
noise. Scientific questions may be addressed to Ulrik Skre Fjordholm
(ulriksf@math.uio.no).

The fellowships will be for a period of 3 years, with starting date no
later than 01.10.2020. Please upload your complete application via the
application portal
https://www.jobbnorge.no/en/available-jobs/job/182291/phd-research-fellow-in-partial-
differential-equations-and-stochastic-analysis
no later than 29 February 2020.



From: Jörn Sesterhenn office.tms@uni-bayreuth.de
Date: February 03, 2020
Subject: PhD Positions, Data-Assimilation and Model Reduction, Univ Bayreuth


Topics:
- PDE based data assimilation and model reduction of turbulent flow
- Adjoint based Identification of Network Flow, Model Reduction and
Sensitivity Analysis

Description: In both projects an adjoint data assimilation method is
used to identify a PDE-based or Network-based flow model for given
data. The data comes either from experiments, a Direct Numerical
Simulation of compressible turbulent flow, or from data of a large
scale Network. Goal in both projects is a reduced order model and
sensitivity analysis of the underlying unknown system.

Prerequisits: Master or equivalent with specialisation in numerical
analysis, numerical fluid mechanics, scientific computing or related,
issued by a top International University; excellent mathematical
skills are essential; experience with at least one of the following
topics (in this order): data assimilation, adjoint methods, critical
transitions of dynamical systems, nonlinear stability analysis, or
development of (or substantial contribution to) a compressible DNS
code for turbulent flows; experience in the use of a programming
language: e.g. Fortran, C, Python, Matlab, Julia; fluency in English;
basic German language skills and willingness to achieve a
"Goethe-Zertifikat C1" within six months of employment;

Teaching obligations: 5h/week during the semester.
Salary level: TV-L E13.
Start date: Immediately

For further scientific (!) information regarding the positions contact
joern.sesterhenn@uni-bayreuth.de. Administrative questions or
applications with cover letter stating your strenghts in one of the
above fields, CV, (master-)diploma, grade sheets and contact
information of three possible referees can be adressed to
christa.reimer@uni-bayreuth.de



From: GEORGE ANASTASSIOU ganastss@memphis.edu
Date: February 03, 2020
Subject: Contents, Journal OF Computational Analysis and Applications, 29 (1)


TABLE OF CONTENTS, JOURNAL OF COMPUTATIONAL ANALYSIS
AND APPLICATIONS, VOL. 29, NO. 1, 2021

A New Techniques Applied to Volterra-Fredholm Integral Equations with
Discontinuous Kernel, M. E. Nasr and M. A. Abdel-Aty,

A Comparative Study of Three Forms Of Entropy On Trade Values Between
Korea and Four Countries, Jacob Wood and Lee-Chae Jang

Quadratic Functional Inequality in Modular Spaces and Its Stability,
Chang Il Kim and Giljun Han

Complex Multivariate Taylor's Formula, George A. Anastassiou,

On the Barnes-Type Multiple Twisted q-Euler Zeta Function of the
Second Kind, C. S. Ryoo

Some Approximation Results of Kantorovich Type Operators,
Prashantkumar Patel

Mittag-Leffler-Hyers-Ulam Stability of Linear Differential Equations
using Fourier Transforms, J.M. Rassias, R. Murali, and A. Ponmana
Selvan

On Some Systems of Three Nonlinear Difference Equations, E. M.
Elsayed and Hanan S. Gafel

Approximation of Solutions of the Inhomogeneous Gauss Differential
Equations by Hypergeometric Function, S. Ostadbashi, M. Soleimaninia,
R. Jahanara, and Choonkil Park

On Topological Rough Groups, Nof Alharbi, Hassen Aydi, Cenap Ozel, and
Choonkil Park

On the Farthest Point Problem In Banach Spaces, A. Yousef, R. Khalil,
and B. Mutabagani

On the Stability of 3-Lie Homomorphisms and 3-Lie Derivations, Vahid
Keshavarz, Sedigheh Jahedi, Shaghayegh Aslani, Jung Rye Lee, and
Choonkil Park

Neutrosophic Extended Triplet Groups and Homomorphisms in C*-
Algebras, Jung Rye Lee, Choonkil Park, and Xiaohong Zhang

Orthogonal Stability of a Quadratic Functional Inequality: a Fixed
Point Approach, Shahrokh Farhadabadi and Choonkil Park

Integral Inequalities for Asymmetrized Synchronous Functions, S. S.
Dragomir

Further Inequalities for Heinz Operator Mean, S. S. Dragomir

Global Dynamics of Monotone Second Order Difference Equation, S.
Kalabusic, M. R. S Kulenovic, and M. Mehuljic

Global Dynamics of Generalized Second-Order Beverton-Holt Equations of
Linear and Quadratic Type, E. Bertrand and M. R. S Kulenovi

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