NA Digest, V. 19, # 43

NA Digest Sunday, November 10, 2019 Volume 19 : Issue 43


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: Kris ONeill oneill@siam.org
Date: November 08, 2019
Subject: New Book, Piecewise Affine Control


Piecewise Affine Control: Continuous-Time, Sampled-Data, and
Networked Systems
By Luis Rodrigues, Behzad Samadi, and Miad Moarref

This book targets controller design for piecewise affine systems,
fulfilling both performance and stability requirements. It presents a
unified computational methodology for the analysis and synthesis of
piecewise affine controllers, and introduces algorithms that will be
applicable to nonlinear systems approximated by piecewise affine
systems. Examples from several areas are featured.

See more details here:
https://my.siam.org/Store/Product/viewproduct/?ProductId=30947159

2019 / xviii + 222 pages / Softcover / 978-1-61197-589-5 / List $89.00
/ SIAM Member $62.30 / DC35



From: Axel Klawonn axel.klawonn@uni-koeln.de
Date: November 04, 2019
Subject: Scientific Machine Learning, Germany, Jan 2020


International Workshop on Scientific Machine Learning
University of Cologne
Center for Data and Simulation Science (CDS)
January 8-10, 2020
https://www.cds.uni-koeln.de/14513.html

Scientific Machine Learning is a rapidly evolving field of research
that combines and further develops techniques of scientific computing
and machine learning. This CDS workshop aims at the discussion of the
latest results in the analysis and development of algorithms as well
as their application to problems from computational science and
engineering. It will bring together mathematicians, computer
scientists, and domain scientists.

Topics include but are not restricted to Physics-informed machine
learning; Mathematics-informed machine learning; Machine learning
enhanced simulations; Hybrid modeling (machine learning + first
principle modeling).

Invited Speakers
Xiao-Chuan Cai (University of Colorado Boulder)
Eric Chung (The Chinese University of Hong Kong)
Eric Cyr (Sandia National Laboratories)
Jan Hesthaven (Ecole Polytechnique Federale de Lausanne)

Registration starts October 21, 2019 and ends December 1, 2019.

For more information, please visit the workshop website:
https://www.cds.uni-koeln.de/14513.html




From: Jan Zapletal jan.zapletal@vsb.cz
Date: November 04, 2019
Subject: Emerging Trends in Applied Mathematics and Mechanics, Czech Republic, Jun 2020


We are pleased to announce that the ETAMM2020 (Emerging Trends in
Applied Mathematics and Mechanics) conference will be held from 15
June to 19 June 2020 in Ostrava (Czech Republic).

The ETAMM2020 conference provides an opportunity for dissemination of
important and recent results in the field of Applied Mathematics and
Mechanics, and their Applications to Physics, Engineering Sciences,
Biology, and Economy. The conference brings together mathematicians,
interdisciplinary scientists, and engineers from all over the world to
exchange experience and ideas, and initiate new research
collaborations.

The local organizers are Dolni oblast Vitkovice, z.s. and
IT4Innovations National Supercomputing Center, part of VSB - Technical
University of Ostrava. The conference consists of invited plenary
talks, keynote lectures, minisymposia, and contributed short talks on
recent results and future challenges in the field.

The conference is under the Honorary Patronage of the Governor of the
Moravian-Silesian Region Prof. Ivo Vondrak and the Rector of the VSB -
Technical University of Ostrava Prof. Vaclav Snasel.

For more information visit the conference website
http://etamm2020.it4i.cz.

Early bird registration is open until 29 February 2020.




From: Maria Grazia Russo mariagrazia.russo@unibas.it
Date: November 08, 2019
Subject: Functional Analysis, Approximation Theory and Numerical Analysis, Italy, Jul 2020


Announcing the International Conference on Functional Analysis,
Approximation Theory and Numerical Analysis (FAATNA20), which will
take place in Matera (Italy) on July 7-10, 2020.

The goal of FAATNA20 is to bring together mathematicians who work in
the fields of Functional Analysis, Approximation Theory and Numerical
Analysisand to encourage collaboration and exchange of
interdisciplinary ideas among the participants. The conference topics
include (but are not limited to): Approximation by linear or non
linear operators, Orthogonal polynomials, Methods of functional
analysis in approximation problems and/or differential equations,
Linear spaces and algebras of operators, Function spaces, Constructive
approximation, Numerical integration, Numerical methods for integral
and differential equations, Numerical linear algebra.

The scientific program is structured in Special Sessions, which
consist of invited and contributed talks. A Contributed Poster Session
is also planned. The Conference is organised in collaboration with
the University of Basilicata, Department of Mathematics, Computer
Sciences and Economics (DiMIE), and the University of Bari "Aldo
Moro", Department of Mathematics. The deadline for the payment of the
registration fee (230 Euro) is April 7th, 2020, while the submission
of abstracts for contributed talks or posters is May 7th, 2020. A
late registration fee (330 Euro) is possible within May 7th, 2020.
The registration will start on January 7th, 2020. Detailed
information are available on the website of the conference:
http://web.unibas.it/faatna20/

Information about the publication of Special Issues of peer-reviewed
journals will be available soon.




From: Pamela Bye pam.bye@ima.org.uk
Date: November 08, 2019
Subject: Modelling in Industrial Maintenance and Reliability, UK, Jul 2020


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.

For further information on the conference, including instructions for
authors, please visit the conference webpage:
https://ima.org.uk/12183/11th-ima-international-conference-on-modelling-in-industrial-
maintenance-and-reliability-mimar/

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

- Abstracts of 100-200 words via https://my.ima.org.uk by 2 March 2020
- Notification of abstract acceptance by 16 March 2020
- Paper submission to conferences@ima.org.uk for conference
proceedings by 1 June 2020
- Final deadline for acceptance for proceedings by 15 June 2020
- Submission of papers for consideration in the Journal of Risk and
Reliability: Proceedings of the Institute of Mechanical Engineers
Part O Special Issue by 1 November 2020.




From: Juan Carlos De los Reyes juan.delosreyes@epn.edu.ec
Date: November 04, 2019
Subject: System Modelling and Optimization, Ecuador, Sep 2020


The 29th edition of the IFIP TC7 conference on "System modelling and
optimization" will take place from August 31st to September 4th 2020
in Quito, Ecuador, at the Escuela Politecnica Nacional. The
highly-regarded conference series covers topics such as: Modeling and
Simulation; Continuous, Discrete, and Stochastic Optimization; Optimal
Control; Inverse Problems; Imaging Science.

Invited speakers: LUZ DE TERESA, UNAM, Mexico; EROL GELENBE, Imperial
College London, United Kingdom; BANGTI JIN, University College London,
United Kingdom; MICHAL KOCVARA, University of Birmingham, United
Kingdom; JORGE NOCEDAL, Northwestern University, USA; RICARDO
NOCHETTO, University of Maryland, USA; JUAN PEYPOUQUET, University of
Chile, Chile; CLAUDIA SAGASTIZABAL, University of Campinas, Brazil

Deadlines of relevance are:
- Submission of minisymposium proposals 27.12.2019
- Notification of acceptance 31.1.2020
- Submission of abstracts 27.03.2020
- Notification of acceptance 30.04.2020
- Early bird registration deadline 29.05.2020
- Final registration deadline 26.06.2020

Minisymposium proposals (4 talks per session, one or more sessions)
may be sent directly at: ifip2020@epn.edu.ec.

More information about the conference:
https://modemat.epn.edu.ec/ifip_tc7_2020/.



From: Tobias Weinzierl tobias.weinzierl@durham.ac.uk
Date: November 08, 2019
Subject: Faculty Positions, Durham Univ, UK


The Department of Computer Science at Durham University invites
applications for up to five fully tenured positions on the assistant
and associate professor level. We welcome applicants from the area of
High Performance and Scientific Computing. We are particularly eager
to hear from researchers with a focus on large-scale and heterogeneous
computing, performance modelling and/or candidates who can create
interdisciplinary links into computational application areas that are
strong in Durham. Besides traditional scientific computing, work
around the convergence of HPC and AI is encouraged as it fits to
Durham's recent activities around scientific computing and scientific
data analysis/science.

Please visit us at

https://www.dur.ac.uk/jobs/recruitment/vacancies/comp20-6/

and

https://sites.durham.ac.uk/icg/research/simulation-and-high-performance-computing/



From: Edmond Chow echow@cc.gatech.edu
Date: November 07, 2019
Subject: Tenure-Track Positions, Computational Science and Engineering, Georgia Tech


The School of Computational Science and Engineering (CSE) in the
College of Computing at the Georgia Institute of Technology invites
applications for multiple openings at the Assistant Professor level
(tenure-track); exceptional candidates at the Associate Professor and
Professor level also will be considered. CSE focuses on foundational
research of an interdisciplinary nature that enables advances in
science, engineering, medical, and social domains. Applicants are
expected to develop and sustain a research program in one or more of
our core areas: high-performance computing, scientific and numerical
computing, modeling and simulation, discrete algorithms, and
large-scale data analytics (including machine learning and artificial
intelligence). Applicants are expected to engage in substantive
research with collaborators in other disciplines. For example, current
faculty have domain expertise and/or collaborations in computational
chemistry; earth sciences; biomedical and health; urban systems and
smart cities; social good and sustainable development; materials and
manufacturing; cybersecurity; and others.

Applications should be submitted online through:
https://academicjobsonline.org/ajo/jobs/1488.
Unique to applications this year to CSE, the personal narrative should
include one highlighted paragraph that describes the applicant's most
significant achievement and includes a reference to a single
publication or preprint that the search committee will review in
detail. For full consideration, applications are due by December 15, 2019.

For more information about Georgia Tech's School of Computational
Science and Engineering please visit: http://www.cse.gatech.edu/.




From: University of Innsbruck, Sandra Steixner sandra.steixner@uibk.ac.at
Date: November 07, 2019
Subject: Assistant Professor Position (Tenure Track), Univ of Innsbruck


The department of mathematics at the University of Innsbruck seeks to
fill the position of a full-time (40 hours per week) assistant
professor as of March 01, 2020. The position is initial limited to 6
years. A tenure track agreement can be offered within the first year
of employment and upon its positive evaluation, the position is
converted into a tenured associate professorship.

The holder of the position is expected to do independent research in
the field of computational algebraic geometry, preferable with
applications of the methods and results in other branches of science.
Acquisition of third-party funding and building up an independent
research group is also a required task. The holder of the position is
expected to prepare and conduct teaching at university level within
the study programs of the department of mathematics (in English and
subsequently in German). Moreover, the holder of the position is
expected to supervise students. In addition to duties in research and
teaching, the holder of the position is expected to initiate
cooperations within the department of mathematics and the university
and to take part in academic self- administration.

JOB REQUIREMENTS: a) excellent doctoral degree in mathematics or a
related field; b) postdoc experience; teaching experience at
university level desirable; c) relevant scientific achievements beyond
dissertation/PhD level; d) research experience in the field of
computational algebraic geometry; e) relevant research success
documented via publications in leading international, refereed
journals and lectures at international conferences/workshops; f)
experience with third-party funding (participation) and with academic
self-administration; g) experience in the acquisition of third-party
funding would be an advantage; h) mobility experience; i) the ability
to work in a team and communication skills.

The application has to be submitted in English or German. It has to
include the following: curriculum vitae including a description of the
scientific and professional career, a list of scientific publications
in which all publications that can be assigned to the dissertation are
marked, list of talks, list of courses taught and credentials. We also
expect a research and teaching statement (with a maximum of two pages
each) and the names of at least three persons who are willing to write
a letter of reference.

We specifically encourage applications of female scientists.

We are looking forward to your online application (chiffre MIP-10887)
by 17.12.2019 under the following link:
https://orawww.uibk.ac.at/public/karriereportal.home (legally binding
text in German). It is recommended to upload all application documents
in one PDF file.




From: Xiaozhe Hu Xiaozhe.Hu@tufts.edu
Date: November 05, 2019
Subject: Assistant Professor Position, Computational PDEs at Tufts Univ


Tufts University, Department of Mathematics, Norbert Wiener Assistant
Professorship in Computational PDEs

Position Description: The Department of Mathematics at Tufts
University is seeking a term-limited Norbert Wiener Assistant
Professorship in Computational Partial Differential Equations (PDEs)
to begin September 1, 2020. The initial contract is for one year and
is renewable for up to two more years. We welcome candidates with a
diverse research background in computational PDEs with an emphasis on
algorithm development and scalable implementation. The specific effort
of the position will be dedicated to developing advanced
finite-element discretizations and multilevel solvers for simulating
complex multiscale physical systems, described by coupled systems of
time-dependent nonlinear PDEs. These systems present many interesting
challenges common to models used in physics, mathematics and, more
generally, in the numerical simulation and analysis of physical
phenomena. The successful candidate will be expected to join current
interdisciplinary research within the Department in the fields of
Scientific Computing and Computational Applied Mathematics. This
includes application areas such as the simulation of flow in porous
media, computational fluid dynamics, electromagnetic materials, and
spectral graph algorithms to name a few.

Qualifications: A Ph.D. in Mathematics, Applied Mathematics or a
closely related field, evidence of excellent teaching, and promise of
strong research are required.

Application Requirements: Applications should include a cover letter,
curriculum vitae, research statement, and teaching statement, which
should all be submitted through
https://www.mathjobs.org/jobs/jobs/14996. In addition, applicants
should arrange for three letters of recommendation to be submitted
through https://www.mathjobs.org/jobs/jobs/14996. If a recommender
cannot submit online, we will accept signed PDF attachments sent to
xiaozhe.hu@tufts.edu, or paper letters mailed to CompPDE Search
Committee Chair, Department of Mathematics, Bromfield-Pearson Hall,
Tufts University, Medford, MA 02155. Review of applications will begin
on Dec. 1, 2019 and will continue until the position is filled.




From: Christine Shoemaker isesca@nus.edu.sg
Date: November 06, 2019
Subject: Postdoc or Software Engineer, Computational Surrogate Optimization


Applications requested for Research Fellow (Postdoc) or Research
Associate (Masters) position for developing/improving computational
surrogate global optimization algorithms & software working with
Christine Shoemaker, Distinguished Professor in the Department of
Industrial & Systems Engineering at the National University of
Singapore (NUS). (English is the language for Singapore.)

Job Requirements: Demonstrated excellence in python programming and in
maintaining complex programs. Academic background in computer
science, or in computational discipline like engineering. For PHDs
seeking a postdoc (research fellow) position, the candidate should
demonstrate ability to contribute to new algorithms and participate in
papers for research journals and conferences. For either a PhD or
Masters' level person, the job would include doing programming and
software improvement for pySOT software (see below).

It is an advantage, but not a requirement for a candidate to have
expertise in any of the following areas: optimization, surrogates
(including RBF or GP/BO), distributed (parallel) computing, machine
learning, statistics, algorithm proofs, numerical analysis. pySOT:
Professor Shoemaker, is co-author of pySOT toolbox software, (which
has synchronous and asynchronous parallel computation) that has had
88,000 downloads in GitHub. PySOT very efficiently solves global
optimization problems with expensive objective functions, like machine
learning hyperparameter problems (see reference [1] below) by using an
RBF surrogate. The person in this position will add more features to
PYSOT (including new algorithms), enable quicker access to its
features, and help maintain the pySOT website. Computation will be
done in part on supercomputer.

Application: More information on the job is at
https://sites.google.com/site/shoemakernusgroup/jobs . Job
applications should be sent to Prof. Shoemaker at
isesca@nus.edu.sg. Please include a CV and indicate desired start
sate. Please also put "Job Application 2019 softw" in the email
subject line. Review of applications will begin immediately and
continue until the positions is filled.

[1] Ilija,Akhtar, Feng, & Shoemaker. Efficient hyperparameter
optimization of deep learning algorithms using deterministic RBF
surrogates. In 31st AAAI Conference on Artificial Intelligence
(AAAI-17), 2017.




From: Daniel Goldberg dan.goldberg@ed.ac.uk
Date: November 07, 2019
Subject: Postdoc Position, Ice-sheet Modelling and UQ, Univ of Edinburgh


We seek a Postdoctoral Research Associate to carry out modelling and
analysis of uncertainty of dynamic ice loss from the West Antarctic
Ice Sheet over the next century. The post is funded by the NERC
Discovery Science project "QUoRUM: QUantifying and Reducing
Uncertainty in ice-sheet Model predictions". QUoRUM aims to:
1) Improve the predictive capability of models of large-scale
ice-sheet dynamics through novel methods for assimilation of
remotely-observed data;
2) Quantify of the uncertainty of this assimilation and how it impacts
projections of sea-level rise;
3) Determine which observations impact most greatly upon projections
of ice-sheet loss, in order to inform future observational
campaigns.

QUoRUM will make use of automatic code generation libraries as well as
high-level algorithmic differentiation to aid with optimisation-based
data assimilation and quantification of uncertainties. You will join
a team of investigators in the Schools of GeoScience and Mathematics
in the University of Edinburgh, with expertise in ice-sheet and
climate modelling, remote sensing, and automatic code generation for
finite element modelling. Your work will focus on refining an existing
ice-sheet dynamics assimilation and uncertainty-quantification
framework (ICE_tangent) and applying it to a multidecadal
observational record of the Amundsen region of West Antarctica, a
region undergoing high rates of ice loss.

We seek candidates with a PhD (or nearing completion) in computational
geoscience, applied mathematics, or a related discipline. Experience
with a scientific programming language such as Python is
essential. Experience with the finite element method, and automated
code generation tools such as FEniCS or Firedrake, is highly
desirable. The post is full time, fixed term until the 31st December
2022. Please see the following link for instructions to apply. Note
the closing date is 25 November
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.display_form

We welcome applications from everyone irrespective of gender or ethnic
group. Appointment will be based on merit alone.




From: Eric Sonnendr├╝cker sonnen@ipp.mpg.de
Date: November 07, 2019
Subject: Postdoc Position, Numerical Algorithms, IPP Garching, Germany


The focus of this work will be on the development of a field solver on
non- Cartesian but structured meshes its implementation in the
framework of matrix-free multigrid methods. The method will also be
enhanced by an immersed boundary method. In a second phase, a
semi-Lagrangian transport algorithm based on quasi-interpolation will
be developed. The candidate should be educated to degree level in
physics, mathematics or computational sciences including a PhD. An
essential qualification is experience in the development and
implementation of numerical algorithms. Experience in computational
plasma physics or fluid dynamics or multigrid methods is a plus. As
the work will take place in an international environment, good command
of written and spoken English is mandatory.

The position is limited to 2 years. The salary is according to the
German Public Service Tariff Scale (TVoD Bund Group 13). IPP wants to
increase the number of women in areas where they are under-represented
and therefore especially invites them to apply. IPP is committed to
employing more disabled individuals and especially encourages them to
apply. Information on the handling of your data and your related
rights can be found on our website:
www.ipp.mpg.de/datenschutz-bewerbung Please sent your application
with CV including the reference number 67/19 before 15 November 2019
to the Max-Planck-Institut fur Plasmaphysik, Personalabteilung, 85748
Garching bei Munchen, bewerbung@ipp.mpg.de.



From: Geraldo Nunes Silva geraldo.silva@unesp.br
Date: November 08, 2019
Subject: Postdoc Position, Numerical Optimal Control, UNESP


We have a post-doc fellowship position open to applicants of any
nationality, to work on the project "MAGIC - Multi-Agent Control and
Estimation for Multi-Horizon Goals Conciliation" at the Sao Paulo
State University's Institute of Biosciences, Letters and Exact
Sciences (IBILCE- UNESP) in Sao Jose do Rio Preto, Brazil. The
position also offers the opportunity to interact with researchers from
Portugal. The project concerns the design, development, analysis, and
synthesis of a novel control and estimation architecture for
multi-agent systems in which short term individual goals conflict with
the desirable long term, or even non-negotiable, system evolution. The
research effort will deal with Sustainable Management of Agricultural
Production Factors.

Requirements: PhD degree in Mathematics, Engineering or related areas;
Strong background in control theory and/or optimization with some
experience in computer programming and systems simulation.

Submit an email to geraldo.silva@unesp.br, containing the information:
Resume and full academic records, including GPA; Motivation letter in
English, explaining the interest in the vacancy (inform vacancy code)
and motivation to join the research center; Two (02) recommendation
letters; List of scientific publications including Master and PhD Theses.

For additional information, please look at
https://www.dropbox.com/s/1qbwl3nn21abemq/MAGIC%20-%20PostDoc
or contact Geraldo Silva via email: geraldo.silva@unesp.br.

The selected candidate will receive a Post-Doctoral fellowship from
the Sao Paulo Research Foundation (FAPESP) in the amount of R$
7,373.10 monthly and a research contingency fund, equivalent to 15% of
the annual value of the fellowship which should be spent in items
directly related to the research activity.



From: Eric Sonnendr├╝cker sonnen@ipp.mpg.de
Date: November 07, 2019
Subject: Postdoc Position, Particle-In-Cell code, IPP Garching, Germany


Gyrokinetic codes have been very successful and can now be used
reliably for the study of core turbulence and transport in
Tokamaks. The next step for gyrokinetic codes is the reliable study of
edge and scrape-off layer physics. New models are required that take
the specificity of edge physics into account. The aim of the proposed
work is to develop numerical algorithms in this framework and
implement them in a state-of-the-art PIC code. Verification of the
code on relevant physics problems will also be an important issue.
The candidate should be educated to degree level in physics,
mathematics or computational sciences including a PhD. An essential
qualification is experience with particle-in-cell methods and
experience in the development and implementation of numerical
algorithms. In addition, desirable qualifications are knowledge of
kinetic modelling of plasmas and in particular gyrokinetic theory. As
the work will take place in an international environment, good command
of written and spoken English is mandatory. The position is limited
to 2 years. The salary is according to the German Public Service
Tariff Scale (TVoD Bund Group 13). IPP wants to increase the number
of women in areas where they are under-represented and therefore
especially invites them to apply. IPP is committed to employing more
disabled indi- viduals and especially encourages them to apply.
Information on the handling of your data and your related rights can
be found on our website: www.ipp.mpg.de/datenschutz-bewerbung. Please
sent your application with CV including the reference number 68/19
before 15 November 2019 to the Max-Planck-Institut fur Plasmaphysik,
Personalabteilung, 85748 Garching bei Munchen, bewerbung@ipp.mpg.de.



From: Lorraine Hwang ljhwang@ucdavis.edu
Date: November 08, 2019
Subject: Postdoc Positions, RSE Geodynamics, CIG, UC Davis


Postdoctoral Positions at CIG, UC Davis

Applications are invited for two Postdoctoral Researchers who are
interested in joining the CIG team at UC Davis. The positions are
expected to contribute to the development and support of numerical
modeling codes in geodynamics and towards conducting independent
research. We seek proposals for innovative, original, and feasible
software engineering and/or software development projects that
complement and/or improve our current practices. CIG supports
communities in computational science, dynamo, education, long-term
tectonics, mantle convection, multiphysics, seismology, and short-term
crustal dynamics.

For more details and to apply: https://recruit.ucdavis.edu/JPF03269

For more information contact Lorraine Hwang: ljhwang@ucdavis.edu.



From: Lieven De Lathauwer lieven.delathauwer@kuleuven.be
Date: November 04, 2019
Subject: PhD and Postdoc Positions, EOS Project KULeuven/VUB/UCL/UMons


We are advertising several PhD and postdoctoral positions for an EOS
project on "Structured Low-Rank Matrix/Tensor Approximation: Numerical
Optimization-Based Algorithms and Applications" (2018-2021). This
excellence-of-science project involves a consortium of four Belgian
universities: KULeuven (L. De Lathauwer, B. De Moor, P. Patrinos,
M. Van Barel), VUB (I. Markovsky, M. Ishteva), UCL (P.A. Absil,
F. Glineur) and UMons (N. Gillis).

We are seeking outstanding candidates who have obtained a master's or
doctoral degree in mathematical engineering, computer science,
electrical engineering, mathematics or physics. Strong candidates have
a proven record in numerical mathematics, optimization, systems &
control, machine learning and/or signal processing. A good knowledge
of linear algebra is mandatory but experience with tensor techniques
is not required. Candidates must be fluent in English.

Further information and application form are available from
https://www.esat.kuleuven.be/stadius/selma/ .




From: Heike Sill heike.sill@wias-berlin.de
Date: November 06, 2019
Subject: PhD Position, Nonsmooth Variational Problems and Operator Equations, WIAS


WIAS invites applications for a PhD Student Position (f/m/d)
(Ref. 19/27) in the Research Group "Nonsmooth Variational Problems and
Operator Equations" (Head: Prof. Michael Hintermuller) within the
European Innovative Training Network "Reduced Order Modelling,
Simulation and Optimization of Coupled systems" (ROMSOC) starting on
January 1, 2020. ROMSOC is a Marie Sklodowska-Curie Innovative
Training Network funded by the EU, where cutting-edge research is
combined with a structured doctoral training programme. The ROMSOC
network implements a partnership of high profile universities,
research institutions, and non-academic organisations. Applications
are open to enthusiastic young mathematicians, who enjoy to work on
challenging problems in an international group at WIAS, and who would
like to enhance their career perspectives in both the academic and
non-academic sectors through international, interdisciplinary and
inter-sectoral mobility combined with the innovation-oriented
mind-set. Within the ROMSOC network we offer a PhD position in the
project "Optimal Shape Design of Air Ducts in Combustion Engines".

For performance optimization of engines the optimal shape design of
airducts is crucial. This project aims to provide mathematical
foundations for constrained free form shape optimization techniques
for computer based rapid prototyping. Based on analytical
considerations, the PhD candidate shall develop a numerical solution
method that utilizes a shape-gradient-related descent scheme. The work
includes the analysis and implementation of a finite volume or finite
element based optimization tool, and which involves a flow system
equipped with a turbulence model, and an associated adjoint
scheme. The solver has to be tested for industry relevant use
cases. The PhD candidate will spend secondments for technical and
scientific training at Math.Tec (Austria). The PhD degree will be
awarded by Humboldt-Universitat zu Berlin, Germany.

See here for more information:
https://wias-berlin.softgarden.io/job/5266838?l=de



From: Dietmar Gallistl dietmar.gallistl@uni-jena.de
Date: November 06, 2019
Subject: PhD Position, Numerical Analysis, Univ of Jena, Germany


Within the department of Mathematics, Faculty of Mathematics and
Computer Science at the Friedrich-Schiller-Universitat Jena we
encourage applications for a PhD position (f/m/d) in Numerical
Analysis starting on February 1, 2020 or later.

Details for the application can be found here:
https://www4.uni-
jena.de/Universit%C3%A4t/Stellenmarkt/Wissenschaftliche+Mitarbeiter/PhD+position+%28f
_m_d%29+within+the+department+of+Mathematics.html

Please refer to the job ID Reg. Nr. 348/2019.



From: Fred Roosta fred.roosta@uq.edu.au
Date: November 10, 2019
Subject: PhD Position, Univ of Queensland and Boeing


As part of the Boeing - UQ Research Alliance, a PhD position is
available for a project to develop methods for optimal alloy design
through the use of machine learning and/or direct simulation. The
project will focus on data analytics and modelling aspects.

The deadline for application is 2 December 2019.

Further information and application procedure can be found below at
https://scholarships.uq.edu.au/scholarship/development-methods-optimal-alloy-design-
boeing-uq-research-alliance-phd-scholarship




From: Dongbin dongbin.xiu@gmail.com
Date: November 05, 2019
Subject: New Journal, Journal of Machine Learning for Modeling and Computing


The Journal of Machine Learning for Modeling and Computing (JMLMC),
published by Begell House, is now online and accepting submissions.

www.j-mlmc.com

Aims and Scope: The Journal of Machine Learning for Modeling and
Computing (JMLMC) focuses on the study of machine learning methods for
modeling and scientific computing. The scope of the journal includes,
but is not limited to, research of the following types: (1) the use of
machine learning techniques to model real-world problems such as
physical systems, social sciences, biology, etc.; (2) the development
of novel numerical strategies, in conjunction of machine learning
methods, to facilitate practical computation; and (3) the fundamental
mathematical and numerical analysis for understanding machine learning
methods.

JMLMC is operated on deadlines. For each publishing issue there is a
submission deadline. Papers submitted before the deadline will be
considered for the current issues (otherwise for the next issue). All
submitted papers will be receive the official decision prior to the
decision deadline, which is set as 3 months after the submission
deadline. This is to ensure the fast transition for the fast growing
and fast paced community.



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