New open Position (15 months) as Research Associate at SISSA

A new open position (15 months) as research associate at SISSA, International School for Advanced Studies, Mathematics Area, mathLab, Trieste, Italy (mathlab.sissa.it) is available with deadline August 21, 2017: http://www.sissa.it/gare/show_announcements.php?id=2409

The position is in the framework of POR-FESR program 2014-2020 sponsored by Regione Autonoma Friuli Venezia Giulia.
The project is PRELICA:
Numerical Simulation and Reduced Methods for design and optimisation of ship propellers within MARE FVG Technical Cluster, in partnership with Engys, ie-fluids, University of Trieste, and CETENA.

Field of the research activity:
Efficient geometrical parametrisation, reduced order modelling, computational fluid dynamics for naval applications, optimisation, control, data assimilation, shape parametrisation, reduced order methods.

Competences:
mathematical modelling, numerical analysis, scientific computing and programming, CFD.

Groningen Autumn School on Model Order Reduction

The Groningen Autumn School on Model Order Reduction is aimed at PhD students with an interest in model order reduction. In addition to discussing standard methods, emphasis will be placed on model order reduction techniques for design and optimisation, data-based model reduction, as well as model reduction for networks of interconnected systems. The school will be held from October 30 to November 2, 2017 at the University of Groningen, Groningen, the Netherlands.
The Groningen Autumn School on Model Order Reduction is organised within the COST action EU-MORNET.

Invited speakers:
Serkan Gugercin (Virginia Tech) and Paolo Rapisarda (University of Southampton). The list of speakers will be appended with local and national speakers.

More information can be found on:
http://www.math.rug.nl/gcsc/morschool.html

Organising committee:
Jacquelien Scherpen, Bart Besselink, Arjan van der Schaft

New open Position as Research Associate (18 months) at SISSA

A new open position as research associate (18 months) at SISSA, International School for Advanced Studies, Mathematics Area, mathLab, Trieste, Italy (mathlab.sissa.it) is available:
Deadline July 6, 2017: http://www.sissa.it/gare/show_announcements.php?id=2369

The position is in the framework of POR-FESR program 2014-2020 sponsored by Regione Autonoma Friuli Venezia Giulia.
The project is SOPHYA: Seakeeping of Planing Hulls for Yachts, within MARE FVG Technical Cluster, in collaboration with MonteCarlo Yachts, MICAD and University of Trieste.

Topics:
computational fluid dynamics, free-surface flows, turbulence, optimisation, control, data assimilation, shape parametrisation, reduced order methods.
Competences:
mathematical modelling, numerical analysis, scientific computing and programming, CFD.

STSMs: How to apply

How to apply:
The European Commission requests some documents for your reimbursement.

1. First register online with COST.
2. Apply online here(https://e-services.cost.eu/user/login/stsm), print and send a pdf of the application to Karl.Meerbergen at cs.kuleuven.be
3. When your STSM is accepted, please send the following documents to Karl.Meerbergen at cs.kuleuven.be:
– A letter of support from your supervisor. This can be a simple e-mail
– A letter of invitation from your host
– Resume with list of publications
– Motivation letter
A pre-approval e-mail will be sent to you once all your documents have arrived. Only then you can start your STSM.
4. After the STSM is finished,
– send a scientific report to Karl.Meerbergen at cs.kuleuven.be.
– When this report is approved, you receive a post-approval e-mail
– Fill out your expenses online
5. You should receive your refund

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