Open Position in CSE: Research Associate

One open position in CSE as research associate, 24 months, at SISSA, International School for Advanced Studies, Mathematics Area, mathLab, Trieste, Italy (mathlab.sissa.it) is available:

Deadline May 2, 2017 noon (CET): https://www.sissa.it/progetti-fse

The position is in the framework of FSE program HEaD (Higher Education and Developments), sponsored by Regione Autonoma Friuli Venezia Giulia.

Topics: computational fluid dynamics, fluid-structure interaction, multi-physics, free-surface flows, turbulence, optimisation, control, reduced order methods.
Competences: mathematical modelling, numerical analysis, scientific computing and programming, CFD, Open Foam.

Durham Symposium on Model Order Reduction

London Mathematical Society — EPSRC Durham Symposium
Model Order Reduction: 7 to 17 August 2017

The LMS-EPSRC Durham Research Symposia began in 1974, and form an established series of international research meetings, with over 100 symposia to date. They provide an excellent opportunity to explore an area of research in depth, to learn of new developments, and to instigate links between different branches. The format is designed to allow substantial time for interaction and research. The meetings are held in July and August, usually lasting for 10 days, with up to 70 participants, roughly half of whom will come from the UK. Lectures and seminars take place in the Department of Mathematical Sciences, Durham University.

Speakers include:
Peter Benner (MPI Magdeburg)
Tobias Damm (Kaiserslautern)
Serkan Gugercin (Virginia Tech)
Bernard Haasdonk (Stuttgart)
Michael Hinze (U Hamburg)
Tatjana Stykel (Augsburg)

For registered participants please visit the website: http://www.maths.dur.ac.uk/lms/107/

Outline
The behaviour of processes in mechanics, engineering, geophysics, tomography, seismic modelling, climate/weather prediction and many other application and research areas is usually modelled by dynamical systems. Such models often involve systems of nonlinear partial differential equations. Their linearisation, and discretisation by means of finite difference and finite element methods, leads to high-dimensional systems of linear ordinary differential equations or difference equations. The number of equations is typically very large and can easily reach a few million. It is therefore at best very time-consuming, and sometimes infeasible, to simulate such systems. The aim of model order reduction (MOR) is to find reduced order models that approximate and reflect the dynamics of the underlying large-scale system accurately, in ways that enable the reduction process to be implemented efficiently.
This symposium will bring together experts in MOR and other related areas and enhance the status of the UK’s research in MOR, and help engineers to solve demanding problems of increasing complexity. The flavour of the presentations will be tutorial style mixed with advanced research presentations. A key aim is to investigate how central ideas in MOR may be applied, or adapted, to other areas of computational mathematics.
Note:
The scientific programme will provisionally start on the morning of August 8th and finish in the afternoon of August 16th.

Travel Information
Useful information about travelling to Durham can be found on the Department of Mathematical Sciences (https://www.dur.ac.uk/mathematical.sciences/contact/) and Durham University (https://www.dur.ac.uk/greenspace/travel/todurham/)

Accommodation
Accommodation for participants will be in Grey College. Guest rooms offer en-suite and internet facilities. Attendance is by invitation only and fees for self-supporting participants are payable by cash, credit card, sterling cheques or sterling travellers cheques at registration.

Organising Committee:
Melina Freitag (Bath), Nick Gould (STFC), Mark Opmeer (Bath) and Wil Schilders (Eindhoven)

Reduced Basis (and Friends) Summer School 2017

The Reduced Basis (and Friends) Summer School (RBSS) is an event organized by young scientists for young scientists. It aims at master students and PhD students in the field of Model Order Reduction.

The RBSS 2017 will take place from 19th September to 22nd September 2017 (departure after lunch) at Hotel Hessenkopf, Goslar, Germany. Accommodation is available from 18th September 2017. The workshop will start on September 19th at 9 o’clock.

Research topics in all aspects of model order reduction are welcome, in particular

• Model Order Reduction for Parametrized Systems
• Model Order Reduction for Linear and Nonlinar Systems
• Model Order Reduction in Optimization, Control and UQ
• Reduced-Basis Methods

As the main purpose of this event is to get to know each other, everyone is encouraged to give a talk about their latest results and/or their current research problems.

For further information, please see the webpage of the RBSS2017: www.rbss2017.de

Local Organization team:
Christian Bertram
Heike Faßbender
Anna Sauerbrei
Tanja Schenk

Affiliation:
TU Braunschweig, Institut Computational Mathematics, AG Numerik
https://www.tu-braunschweig.de/icm/numerik

Venue:
Hotel Hessenkopf, Goslar
http://www.hessenkopf-goslar.de/

Open Research Positions at SISSA, mathLab, Trieste, Italy

Open research position between SISSA, International School for Advanced Studies, Mathematics Area, mathLab, Trieste, Italy (mathlab.sissa.it) and FINCANTIERI spa, worldwide leader in ship constructions. The researcher will be based in FINCANTIERI Trieste under the scientific responsability of Prof. Gianluigi Rozza with the project “Prow and stern hull shape optimisation by parameterised algorithms in an open source environment”

Deadline March 20, 2017 -info: https://www.sissa.it/gare/show_announcements.php?id=2267

This position is related with shape optimisation and parametrisation of hull shapes or parts of it through the development of advanced numerical methods which will be tested with fluid dynamics solvers and relevant efficiency indexes.

Two further positions are:
Deadline March 6, 2017 – info: http://www.sissa.it/gare/show_announcements.php?id=2248
Deadline March 10, 2017 – info: http://www.sissa.it/gare/show_announcements.php?id=2258

These positions are in the framework of FSE program HEaD (Higher Education and Developments) and POR-FESR, both sponsored by Regione Friuli Venezia Giulia.
Topics:
computational fluid dynamics, fluid-structure interactions, multi-physics, free-surface flows, turbulence, optimisation, control, reduced order methods.
Competences:
mathematical modelling, numerical analysis, scientific computing and programming, CFD, Open Foam.

Two new open positions as post-doc research associate at SISSA

Two new open positions as post-doc research associate at SISSA mathLab (mathlab.sissa.it) are available:

Deadline March 6, 2017: http://www.sissa.it/gare/show_announcements.php?id=2248
Deadline March 10, 2017: http://www.sissa.it/gare/show_announcements.php?id=2258

The positions are in the framework of FSE program HEaD (Higher Education and Developments) and POR-FESR, both sponsored by Regione Friuli Venezia Giulia.
Topics: computational fluid dynamics, fluid-structure interactions, multi-physics, free-surface flows, optimisation, control, reduced order methods.
Competences: mathematical modelling, numerical analysis, scientific computing and programming, Open Foam.

Model reduction course HYDRA

Please find below the draft program for the model reduction course that will be organized at the TU/e from March 6-9, 2017, in the context of the Marie Curie EID project HYDRA. The course is also open for participants outside the project. If you are interested, please let the organiser know as soon as possible. The course will be generic and not focused on HYDRA-type models. The course will be held at the Eindhoven University of Technology, Department of Mechanical Engineering, in conjunction with the Department of Mathematics and Computer Science (Prof. Wil Schilders). More info how to get to our department (building Gemini, number 15 on the map) can be found at: http://www.tue.nl/en/university/about-the-university/accessibility-tue-campus/

HYDRA MOR course 1
Model reduction course HYDRA
March 6-9, 2017, Eindhoven, The Netherlands
This course is organized in the context of the European Marie Curie EID project HYDRA (“Hydraulics Modeling for Drilling Automation”), see http://cas.mines-paristech.fr/~dimeglio/HYDRA
The course covers a wide range of techniques in the area of model order reduction. The course can also be attended by students and researchers from outside the HYDRA project. If you wish to attend, please send an email to the project coordinator, Nathan van de Wouw at n.v.d.wouw@tue.nl, before February 20.
Course lecturers:
• Nathan van de Wouw (Eindhoven Univ. of Technology, Department of Mechanics, The Netherlands)
• Wil Schilders (TU Eindhoven, Dept. of Mathematics and Computer Science, The Netherlands)
• Bart Besselink (University of Groningen, The Netherlands)
• Martin Grepl (RWTH Aachen University, Institut fuer Geometrie und Praktische Mathematik, Germany)
• Wim Michiels (Department of Computer Science, KU Leuven, Belgium)

HYDRA MOR course 2
Day 1 (March 6)
Balancing for linear finite-dimensional systems
Day 1 offers lectures and exercises on balancing techniques for the model reduction for models in terms of linear ordinary differential equations.
09:00 – 09.20: Welcome & Introduction to model reduction (Nathan van de Wouw)
09:20 – 10:20: Balancing (Nathan van de Wouw)
10:30 – 11.00: Break
11:00 – 12.30: Exercise
A laptop with Matlab is required to be able to participate in the exercises.
12:30 – 13:30: Lunch
13.30 – 14.30: Frequency-weighted and closed-loop balancing (Bart Besselink)
14.30 – 15:00: Break
15:00 – 16:30: Exercise

HYDRA MOR course 3
Day 2 (March 7)
Krylov-based reduction methods for linear finite-dimensional systems
Day 2 offers lectures on Krylov-based techniques for the model reduction for models in terms of linear ordinary differential equations.
09:00 – 9.20: Welcome, program, introduction (Wil Schilders)
09:20- 10:20: Krylov methods in numerical linear algebra (Wil Schilders)
10:30 – 11.00: Break
11:00 – 12.30: Krylov methods for model order reduction (Wil Schilders)
12:30 – 13:30: Lunch
13.30 – 14.30: Structure and property preservation, including DAEs (Wil Schilders)
14.30 – 15:00: Break
15:00 – 16:30: Coupled problems (Wil Schilders)

HYDRA MOR course 4
Day 3 (March 8)
Balancing for linear finite-dimensional nonlinear systems
Day 2 offers on model reduction techniques for models in terms of nonlinear ordinary differential equations.
09:00 – 09:20: Intro to model reduction for nonlinear systems (Bart Besselink)
09:20 – 10:30: Balancing-based model reduction for nonlinear systems with local nonlinearities (Nathan van de Wouw)
10:30 – 11:00: Break
11:00 – 12:30 Balancing for nonlinear systems (Bart Besselink)
In the morning part of the course, balancing-type techniques for the model reduction of nonlinear systems are introduced, guaranteeing the preservation of (input-output) stability properties and providing guarantees on the accuracy of the reduction.
12:30 – 13:30: Lunch
13.30 – 17:00: Reduced basis methods, EIM and DEIM (Martin Grepl, RWTH Aachen University)
In this part of the course, we present an overview of reduced basis approximations and associated a posteriori error estimation procedures for certain classes of nonlinear parametrized partial differential equations. We begin by briefly recalling the essential reduced basis ingredients for a linear affine elliptic problem: (i) Galerkin projection onto a subspace spanned by solutions of the governing equation at N greedily selected points in parameter space, (ii) residual based a posteriori error estimation procedures to provide rigorous and sharp bounds for the error, and (iii) offline-online computational procedures to
decouple the generation and evaluation stage of the reduced basis method, i.e., the operation count in the online stage depends only on the dimension of the reduced order model.
We then extend these ideas to problems involving a nonaffine and nonlinear dependence on the field variable. To this end, we combine the reduced basis method with the empirical interpolation method (EIM) – a tool to construct “affine” coefficient-function approximations of the “nonaffine” or nonlinear parameter dependent functions. We discuss a posteriori error estimation procedures which take the error introduced by the reduced basis approximation and the error induced by the coefficient function interpolation explicitly into account. The EIM allows to derive an efficient offline-online computational
procedure even in the presence of highly nonlinear terms. We present numerical results for several model problems and a non-isothermal reaction-diffusion model to validate our approach.

HYDRA MOR course 5
Day 4 (March 9): Model reduction for delay systems
Day 4 offers lectures on model reduction for models in terms of delay differential equations.
09:00 – 10:30: Model reduction for linear time-delay systems: a guided tour (Wim Michiels, Department of Computer Science, KU Leuven)
The aim of the lecture is to present an overview of model reduction techniques for large-scale time-delay systems, focusing on their main principles and properties. After discussing fundamental properties of delay systems, I outline how approaches based on moment matching (Krylov and data driven variants) and approaches based on balanced truncation can be generalized from LTI
systems to time-delay systems. Both reduction methods where the reduced model is in the form a standard LTI system, and structure preserving methods, where the reduced model has the same, delay structure as the large-scale
system, are considered.
10:30 – 11:00: Break
11:00 – 12:30: Model reduction for linear time-delay systems: a guided tour, continued
12.30 – 13.30: Lunch
13.30 – 14:30: Balancing approaches for linear and nonlinear delay differential equations (Nathan van de Wouw, Bart Besselink)
This part of the course focuses on providing an introduction to a recently developed model reduction approach for linear and nonlinear delay differential equations.
14.30 – 15.00: Closure

Prof Wil Schilders

SIAM Workshop on Parameter Space Dimension Reduction (DR17)

SIAM Workshop on Parameter Space Dimension Reduction (DR17)
July 9-10, Pittsburgh, PA
http://www.siam.org/meetings/dr17/

The DR17 workshop brings together researchers across mathematics, statistics, and engineering to explore a range of emerging techniques for parameter space dimension reduction. Topics of interest include:

active subspaces
basis adaptation
inverse regression
sufficient dimension reduction
sloppy models
sensitivity analysis
ridge recovery and approximation
deterministic and statistical parameter estimation
applications with science and engineering simulations or data sets

Plenary speakers:
Francesca Chiaromonte, Penn State University
Mark Transtrum, Brigham Young University

Deadlines
The submission deadline is February 27. Submitted abstracts will be considered for a 20-minute presentation or poster. More details on the website:
http://www.siam.org/meetings/dr17/submissions.php

Some travel support is available for students and early-career researchers. Deadline to apply for travel support is January 20.
http://www.siam.org/meetings/dr17/tsupport.php

DR17 Co-chairs
Paul Constantine, Colorado School of Mines
David Gleich, Purdue University

Organizing committee:
Juan J. Alonso, Stanford University
Nathan Baker, Pacific Northwest National Laboratory
R. Dennis Cook, University of Minnesota
Emilie Dufresne, Oxford University
Michael S. Eldred, Sandia National Laboratories
Michael Frenklach, University of California Berkeley
Roger Ghanem, University of Southern California
Omar Ghattas, University of Texas at Austin
Mark Girolami, Imperial College London
Gianluca Iaccarino, Stanford University
Youssef Marzouk, Massachusetts Institute of Technology
Gianluigi Rozza, Scuola Internazionale Superiore di Studi Avanti
Ralph Smith, North Carolina State University
Michael Wakin, Colorado School of Mines
Rachel Ward, University of Texas at Austin
Brian J. Williams, Los Alamos National Laboratory

MODRED 2017

The 3rd Workshop on Model Reduction of Complex Dynamical Systems – MODRED 2017 – will take place at the Department of Mathematics and Computer Science (IMADA), University of Southern Denmark, Odense, in the period January 11-13, 2017.

Scientific Topics include, but are not limited to
– Computational methods for model order reduction of dynamical systems
– Data-driven methods
– Surrogate modeling for design and optimization
– Model reduction methods in applications

The Keynote speakers are:
Stefan Görtz (German Aerospace Center (DLR), Braunschweig)
Sara Grundel (MPI for Dynamics of Complex Technical Systems, Magdeburg)
Bülent Karasözen (Middle East Technical University (METU), Ankara)
Henrik Sandberg (KTH Royal Institute of Technology, Stockholm)
Anthony Patera (Massachusetts Institute of Technology (MIT), Cambridge)

Deadlines:
October 28, 2016: Abstract submission (max. 150 words, plain text) to modred2017@mpi-magdeburg.mpg.de
November 18, 2016: Acceptance notification
December 4, 2016: Registration

Organizers:
Peter Benner
Heike Faflbender
Michael Hinze
Tatjana Stykel
Ralf Zimmermann (local organization)

Further information is available at:
http://www.mpi-magdeburg.mpg.de/csc/events/modred2017

Postdoc Position, Numerical Analysis and Scientific Computing, SISSA, Trieste, Italy

A new postdoctoral research position in Numerical Analysis and
Scientific Computing (with applications) is open at SISSA,
International School for Advanced Studies, Mathematics Area, mathLab
division, Trieste, Italy.

This position is in the framework of the ERC (European Research
Council) Consolidator Grant AROMA-CFD, Advanced Reduced Order Methods
with Applications in Computational Fluid Dynamics, PI Prof. Gianluigi
Rozza (Project 681447). Applications info, details and requirements
are available at the link:
http://www.sissa.it/gare/show_announcements.php?p=A3_B4&id=2113 The
announcement is in Italian and in English. Application deadline is
September 8, 2016 at 1pm (CET).

Fields of the research activity: Mathematical modeling, numerical
analysis and simulation for the complex systems held by parametrized
PDEs, computational fluid dynamics for optimization, control, inverse
problems, uncertainty quantification, data assimilation; scientific
computing programming, high performance computing and/or large scale
computing competences. Additional requirements, competencies and
abilities: Good knowledge of high level programming languages, e.g.,
C/C++/Python; Scientific Computing software libraries, Reduced Order
modeling techniques (reduced basis methods, POD, PGD), efficient
geometrical parametrization techniques, spectral methods, stability
and bifurcations.

For more info and details you can contact gianluigi.rozza@sissa.it
with a message with subject “ERC AROMA-CFD”
(http://people.sissa.it/~grozza).

Applications of Model Order Reduction Methods in Industrial Research and Development

As part of the activities of the COST Action EU-MORNET, the Working Group 3 (Applications) organizes the 2nd Exploratory Workshop on 10 March 2017 in Luxembourg.

EU-MORNET. The COST Action EU-MORET brings together all major groups in Europe working on a range of model reduction strategies with applications in real-time visualisation and computing. The increasing complexity of mathematical models used to predict real-world systems, such as climate or the human cardiovascular system, has led to a need for model reduction, which means developing systematic algorithms for replacing complex models with far simpler ones, that still accurately capture the most important aspects of the phenomena being modelled. The network emphasises model reduction topics in several themes: 1. design, optimisation, and control theory in real-time with applications in engineering; 2. data assimilation, geometry registration, and parameter estimation with a special attention to real-time computing in biomedical engineering and computational physics; 3. real-time visualisation of physics-based simulations in computer science; 4. the treatment of high-dimensional problems in state space, physical space, or parameter space; 5. the interactions between different model reduction and dimensionality reduction approaches; The focus of the network is methodological, however, a wide range of both academic and industrial problems of high complexity is anticipated to motivate, stimulate, and ultimately demonstrate the meaningfulness and efficiency of the proposed action.

Meeting Objectives. This 1-day workshop presents a unique opportunity to connect European academic research and industrial development in the area of Model Order Reduction. The 2nd meeting of this kind aims at discussing the current state-of-the-art from the academic and application-driven perspective, demonstrating best-practice examples from industry and software companies, identifying existing challenges in the application of MOR and its promotion in commercial simulation software, collecting benchmark problems from a variety of different challenging application domains, and fostering the continuing bi-directional exchange between industry and academia.

​Organisation
The workshop is organised by Andreas Zilian and Stéphane Bordas from the University of Luxembourg.

Venue
The Exploratory Workshop takes place on Friday, 10 of March 2017 at the Chambre de Commerce, 7 rue Alcide de Gasperi, L-2981 Luxembourg.

The Luxembourg Chamber of Commerce is located in the financial district at Kirchberg and close to various European institutions. Please enter the building at the shown entrance and follow the directions labelled “EU-MORNET” to the conference room.

Get more information
http://eumornetlux.weebly.com