ubject: NA Digest, V. 19, # 17

NA Digest Sunday, April 28, 2019 Volume 19 : Issue 17


Today's Editor:

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

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Submissions for NA Digest:

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


From: JS Hysing info+nadigest@featool.com
Date: April 24, 2019
FEATool Multiphysics Simulation Toolbox v1.10 Released
With FEATool Multiphysics version 1.10, physics modeling and
simulation is now easier than ever to learn, featuring an updated GUI,
full FEniCS and OpenFOAM solver integration, with built-in and
automated step-by-step multiphysics modeling examples and
tutorials. In addition the new postprocessing mode includes one-click
integration with ParaView Glance and plotly web based visualization,
enabling quick and convenient export and sharing of fully interactive
simulation results with colleagues and coworkers. Moreover, many new
simulation examples and tutorials are available for heat transfer,
computational fluid dynamics (CFD), structural mechanics,
electromagnetics and more partial differential equation (PDE) based
physics simulation types.

Please visit https://www.featool.com for more information and free
download.



From: Hartwig Anzt hartwig.anzt@kit.edu
Date: April 23, 2019
Subject: Ginkgo Release 1.0.0


The Ginkgo team is proud to announce the first release of Ginkgo, the
next-generation high-performance on-node sparse linear algebra
library. Ginkgo leverages the features of modern C++ to give you a
tool for the iterative solution of linear systems that is:

- Easy to use via a C++ interface;
- Attaining high performance from CUDA kernels highly optimized for
today's GPU-accelerated high-end systems;
- Controllable by specifying execution back-end (OpenMP, CUDA,
reference);
- Composable in terms of combining and cascading different solvers and
preconditioners via a novel linear operator abstraction;
- Extensible in terms of algorithms, matrix formats, and other
components via a script pre-generating the new class-, header-, and
file structure;
- Expandable to other hardware via adding back-ends without touching
the algorithm implementations;
- Setting new standards in terms of correctness and reproducibility
via a comprehensive unit testing framework comparing the high
performance back-ends to a sequential reference implementation.

Ginkgo is a collaborative effort including the Karlsruhe Institute of
Technology, University of Jaume I, University of Tennessee, and other
contributors. The open-source code is available at the project webpage
https://ginkgo-project.github.io/



From: Michael Heroux maherou@sandia.gov
Date: April 23, 2019
Subject: 2019 European Trilinos User Group Meeting, Switzerland, Jun 2019


Registration is open for the one-day European Trilinos User Group
meeting on June 11, 2019 at ETH Zurich, Switzerland, co-sponsored by
CSCS. The meeting is one day before the 2019 Platform for Advanced
Scientific Computing Conference (PASC 2019 - https://pasc19.pasc-
conference.org) also held at ETH from June 12 - 14.

Registration page: https://www.cscs.ch/events/upcoming-events/event-detail/european-
trilinos-user-group-meeting/

Detailed agenda:
https://trilinos.github.io/european_trilinos_user_group_meeting_2019.html



From: Philip Knight p.a.knight@strath.ac.uk
Date: April 24, 2019
Subject: Biennial Numerical Analysis Conference, UK, Jun 2019


The University of Strathclyde will host the 28th Biennial Numerical
Anaysis Conference from June 25-28. Details of the conference
(including invited speakers and minisymposia) can be found at
naconf.org.uk. The deadline for Early Bird registration and abstract
submission is fast approaching (April 30th) so please register your
details ASAP!



From: MathsHR hr-office@maths.cam.ac.uk
Date: April 24, 2019
Subject: Research Associate Position, Univ of Cambridge


UNIVERSITY OF CAMBRIDGE DEPARTMENT OF APPLIED MATHEMATICS AND
THEORETICAL PHYSICS, POSTDOCTORAL RESEARCH ASSOCIATE IN RANDOMISED
OPTIMISATION FOR LARGE-SCALE TOMOGRAPHIC IMAGE RECONSTRUCTION

Further information on this vacancy and details on how to apply are
available at: http://www.jobs.cam.ac.uk/job/21233/
Salary: GBP 32,236 - GBP 39,609 per annum
Closing Date: 31 May 2019
Limit of tenure: 3 years
Start date: 1 September 2019 or by mutual agreement.

This project is 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. We are looking for two excellent and ambitious postdoctoral
researchers who want to join this research endeavour. Please note
that this is part of a wider recruitment for postdoctoral research
staff with another post advertised at Bath University.

Duties of the successful candidate include developing and conducting
individual and collaborative research objectives, proposals and
projects. The role holder will be expected to plan and manage their
own research and administration, with guidance if required, and to
assist in the preparation of proposals and applications to external
bodies. You must be able to communicate material of a technical nature
and be able to build internal and external contacts. You may be asked
to assist in the supervision of student projects, the development of
student research skills, provide instruction or plan/deliver seminars
relating to the research area. The successful candidate will have a
PhD degree in mathematics or a closely related subject. Expertise in
one or more of optimisation, inverse imaging problems and variational
reconstruction approaches, large- scale computation as well as in
biomedical imaging is desired. If you have any questions about this
vacancy or the application process, please contact
LE18873@maths.cam.ac.uk . Interviews will take place as soon as
possible after the closing date.

The University actively supports equality, diversity and inclusion and
encourages applications from all sections of society. We particularly
welcome applications from women and /or candidates from a BME
background for this vacancy as they are currently under-represented at
this level in our Department. The University has a responsibility to
ensure that all employees are eligible to live and work in the UK.


From: Sebastian Tschuppik Sebastian.Tschuppik@fau.de
Date: April 26, 2019
Subject: Postdoc Position, Friedrich-Alexander-Univ (FAU), Germany


A post-doctoral position (100%, German TV-L E 14) is available in
mathematical optimization at the Friedrich-Alexander-Universitat
Erlangen-Nurnberg (FAU), Erlangen, Germany.

The optimization group at FAU has more than 25 years of experience in
modeling and solving complex and very large-scale planning and
decision problems from logistics, energy, production, engineering, and
the natural sciences, see https://www.mso.math.fau.de/de/edom/. Their
key expertise is in developing and applying models and algorithms,
which yield proven optimal solutions to optimization problems. This
involves techniques like linear, nonlinear, and integer programming,
robust optimization, graph algorithms, polyhedral combinatorics, and
the like. Furthermore, design of efficient heuristics and exact
algorithms together with effective implementations is key
expertise. The chair EDOM - Economics, Discrete Optimization,
Mathematics (Chair Wirtschaftsmathematik) consists of 20+ PhD students
and Postdocs, and is headed by Frauke Liers and Alexander Martin. The
group participates in many projects funded by the German Science
Foundation (DFG), the German Federal Ministry of Education and
Research (BMBF), the Federal Ministry for Economic Affairs and Energy
(BMWi), the European Union, as well as by the industry. The position
is for a period of three years, with possible extension by another
three years. It may start as soon as possible.

It is expected that during their doctoral research, candidates have
gained research independence in one or more of the following areas:
- mixed-integer linear and nonlinear optimization,
- optimization under uncertainty, especially robust optimization,
- discrete mathematics,
- nonlinear optimization,
- mathematical data science.

You should be interested in doing research on optimization models and
methods. You should also like to validate them in real-world
applications such as energy, logistics, and analytics. You should like
to work in teams and should like to participate in coordinating
research projects. Candidates with background in pure mathematics are
also welcome if they can prove interest in transfering their theory to
solve applied problems.

Informal inquiries and applications (including cover letter and short
research statement, publications, CV, certificates) can be sent to
edom-office@fau.de



From: Lei Zhang lzhang2012@sjtu.edu.cn
Date: April 26, 2019
Subject: Postdoc Position, Multiscale Modeling and Computation, Shanghai Jiaotong Univ


A post-doctoral position is available for candidates with strong
quantitative skills. This position relates to multiscale modeling and
analysis, with an interplay of analysis and computations, as well as
applications in materials science and biology, and intrinsic
connections with uncertainty quantification, machine learning and data
science.

The position is a two-year position planned to start at September 1,
2019 or as soon as possible. The deadline for application is July 1,
2019. The candidate will benefit from the dynamic research environment
of both Shanghai Jiaotong University (http://ins.sjtu.edu.cn) and
Xi'an Jiaotong- Liverpool University at Suzhou. Salary is matched with
the candidate's experiences (equivalently about 38k-58k USD).

For details please see:
https://ins.sjtu.edu.cn/people/lzhang/home_files/postdoc.pdf
Contact: Prof. Lei Zhang (lzhang2012@sjtu.edu.cn) or Dr. Shengxin Zhu
(Shengxin.Zhu@xjtlu.edu.cn)


From: Joseph Vallino jvallino@mbl.edu
Date: April 25, 2019
Subject: Postdoc Position, Ocean Biogeochemical Modeling


A computational postdoctoral position in Ocean Biogeochemical Modeling
is available at the Marine Biological Laboratory, Woods Hole. This
NSF- funded, collaborative project with the Massachusetts Institute of
Technology will focus on combining thermodynamics and trait-based
biogeochemical models to augment an existing marine ecosystem modeling
framework ('Darwin model') developed at MIT.

We are seeking an individual with a PhD in oceanography, engineering,
applied math or related field who has interest or experience in marine
biogeochemical modeling. While not required, knowledge in
thermodynamics, numerical analysis and/or optimal control theory will
be considered advantageous. The successful candidate will be expected
to work collaboratively with teams at both MBL and MIT, but will be
employed at MBL.

Review of applications will begin 1 Jul 2019 and continue until the
position is filled. Contact Joe Vallino (jvallino@mbl.edu) for more
information.

Qualifications: A PhD is required.

Apply on-line here:
https://recruiting.ultipro.com/MAR1033MBL/JobBoard/4c3007c3-6354-41de-a13f-
d95be60d91e9/OpportunityDetail?opportunityId=fd269b18-f837-4204-b2c8-
9dcc81660272

Equal Opportunity Employer/Protected Veterans/Individuals with
Disabilities



From: José Mário Martinez Perez martinez@ime.unicamp.br
Date: April 23, 2019
Subject: Postdoc Position, Optimization


Summary: The Center for Research in Mathematical Sciences Applied to
Industry(CEPID-CeMEAI) at University of Sao Paulo opens a
post-doctoral research position in Optimization and Operations
Research. The selected candidate will work at Institute of
Mathematics, Statistics and Scientific Computing, University of
Campinas. Sao Paulo Research Foundation provides the financial
support with a monthly salary of R$ 7.373,10. An extra grant is also
provided to cover participation in highly relevant conferences and
workshops, as well as research trips (limited to 15% of the annual
amount of the fellowship). The position is for one year.

Project: Tailings Dams failures and consequent flooding of down-river
regions affecting
society and nature.

Summary: Brazil has a significant quantity of tailings dams (over
seven hundred) which receive the byproducts of several kinds resulting
from mining operations. About 200 of these present serious risks in
terms of the consequences for society, communities and nature. The
purpose of this project is that of studying these kinds of dams with
applied mathematical tools modelling and numerically simulating the
delicate equilibrium between stability and failure as well as the
consequent flooding effects in the many aspects that these failures
entail.

Requirements: Proponents must have a solid background in Mathematics,
Physics as well as Scientific Computing and the Visualization of
numerical results, since the first objective I that of studying
existing mathematical models and creating variations and/or new models
that allow for viable evaluations and predictions of the involved
phenomena. Expertise is necessary in numerical methods and analysis,
partial differential equations and optimization techniques, inverse
problems and the adjustment of models and parameters. Besides this, it
will also be necessary to work quite closely with engineers,
biologists, geologists, ecologists as well as social scientists. The
proponent must also show initiative in the modelling of unforeseen
events resulting from the breaking of equilibrium states such as those
resulting from dam failures in terms of human, social, ecological and
economical consequences. It is necessary to have a doctorate in
Applied Mathematics, Engineering and related Sciences and must be
available for field trips in regions where these tailings dams are
present and where dam failures have occurred.

Application: Please send your application before May, 20, 2019 to:
martinez@ime.unicamp.br. Please indicate "post-doctoral application -
CEPID/CeMEAI" in the subject line. Applications should include
curriculum vitae, statement of research interests and two contact
information for recommendation letters (only PDF files).



From: J. Lu jianlu1979@163.com
Date: April 22, 2019
Subject: Postdoc Positions, Mathematical Imaging, Optimization, Shenzhen Univ


Postdoc Positions in Shenzhen University, China
Location: Shenzhen, China
Job Type: Full-Time
Duration: 2 years
Number of Position: 4 Positions
Closing Date: Open Until Filled

Description: We are looking for Postdoctoral Researchers in
Image/Video Processing/Analysis,Mathematical Imaging and Optimization,
etc.

We have no teaching tasks and check in / check out policy for
Postdoctoral Researchers.

Promotors:
- Prof. Jian Lu (Shenzhen Key Laboratory of Advanced Machine Learning
and Applications, College of Mathematics, Shenzhen University)
- Prof. Lixin Shen (Syracuse University, USA)

The salary is about 330,000 RMB (49,000 US dollars) per year, of which
180,000 RMB per year is after-tax. Those who are interested please
send their C.V. to Prof. Dr. Jian Lu, e-mail: jianlu@szu.edu.cn;
jianlu1979@163.com


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