Convocatoria de premios anuales SEMNI

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Queridos compañeros,

Como cada año, SEMNI convoca sus premios a la mejor tesis doctoral defendida durante 2022 y al joven investigador, premio Juan Carlos Simó.

Adjuntas encontraréis las bases de dichos premios:

Mejor tesis doctoral: https://semni.org/wp-content/uploads/2022/11/PremioSEMNI_MejorTesisDoctoral2022.pdf

Premio Juan C. Simó: https://semni.org/wp-content/uploads/2022/11/PremioJCS-2023_InvestigadorJoven.pdf

Tratándose de premios a nuestros miembros más jóvenes, os rogamos la máxima difusión entre ellos.

Recibid un cordial saludo,

     Elías Cueto

Plaza post-doctoral en la Universidad de Zaragoza

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POST-DOCTORAL POSITION WITHIN THE PROJECT

«Physics-informed Artificial Intelligence for Cognitive Twins of Complex Systems»

The Applied Mechanics and Bioengineering (AMB) group of the University of Zaragoza (see http://amb.unizar.es) is one of the leading groups within the computational mechanics community at a national and European levels, comprised by 20 senior faculty members and a variable number of Ph.D. students and post-doctoral associates.

The group has a broad experience in the development of advanced simulation techniques such as meshless methods, model order reduction and, more recently, scientific machine learning for the simulation of complex, multi physics and multiscale phenomena.

With the recently awarded project Physics-informed Artificial Intelligence for cognitive twins of complex systems we aim at developing novel tools for the machine learning of complex physical phenomena with guaranteed physical meaning.

In the frame of this emergent project in the group, we seek a highly motivated postdoctoral candidate to develop and implement artificial intelligence tools able to achieve physical perception and reasoning about complex physical phenomena taking place in the neighborhood of this AI.

ROLE SUMMARY: 

The candidate, in close collaboration with profs. E. Cueto, D. González, I. Alfaro, and the rest of the team, will develop advanced AI techniques based on physics-informed neural networks towards the creation of cognitive digital twins, able to understand the surrounding environment and adapt to changing scenarios. 

CONTRACT DETAILS: 

Applications/interviews: Please send an email expressing your interest, together with a CV to Prof. Elías Cueto (). Reviews of applications will continue until the position is filled.

Initial date: As son as possible. 

Duration: 2 years. 

Dedication: Full-time, 40 h/week. 

Gross annual salary: 42983 € (including Spanish public health and social security benefits). 

SKILLS / QUALIFICATIONS: 

Hard / Essential: 

• PhD in Computational Continuum Mechanics (or similar), with a strong numerical focus on mathematical modeling. 
• In-depth, hands-on knowledge of modeling software and computer programming (MATLAB, Python, C/C++, Fortran) as well as of the Finite Element Method and its procedures. 

Hard / Desirable: 

• Knowledge about neural network programming (preferably, PyTorch).
• Knowledge on Computer Vision.
• Computational Solid Mechanics. 
• Image Processing and Data Analysis. 

Soft / Essential: 

• Keen interest in learning novel computational methods. 
• Self-directed with the ability to work independently. 
• At the same time, ability to work in group and (co-)advise doctoral students.
• Excellent communication and writing skills in English. 

CONTACT: 

If interested, please send your CV, a cover letter, and a reference letter to Elías Cueto ().

Premios SEMNI 2021

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En el CMN celebrado en Las Palmas los pasados 12 a 14 de setiembre, SEMNI tuvo el placer de otorgar los premios anuales que distinguen a nuestros miembros más destacados. Visitad la página de premios https://semni.org/premios/ para ver lista de premiados. ¡Enhorabuena a todos ellos!

Oferta de tesis en Purdue

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PhD positions at Purdue – Computational biomechanics and fluid dynamics

We have several openings for a PhD positions. The successful candidate will conduct original research in the general area of biomechanics and fluid dynamics. They develop numerical methods to model coupled processes on high-performance computing platforms. This position is in the Gomez Research Group (https://engineering.purdue.edu/gomez/) in the Department of Mechanical Engineering at Purdue.

Applications

Please send an email expressing your interest, together with a CV to Prof. Hector Gomez (). Reviews of applications will start on October 14, 2022 and continue until the position is filled.

Information

You may find some information about Purdue University at https://www.usnews.com/best-graduate-s hools/top-engineering-schools/eng-rankings

https://www.youtube.com/purdue/videos

Oferta de tesis en CIMNE

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A PhD position is open in the Large Scale Scientific Computing group
at the International Center for Numerical Methods in Engineering (CIMNE)
and Universitat Politècnica de Catalunya (UPC BarcelonaTech).

The position is funded by the project AMBBOS, Advanced computational
Mathematics for Breeding Blanket Optimal deSign, a 3-year Spanish
project focused on the development of numerical methods for the
optimal design of breeding blankets (BB) in fusion reactors.
BB (https://en.wikipedia.org/wiki/Breeding_blanket) devices are a key
component of fusion reactors that provide radiation shielding from neutrons,
heat extraction and tiritum regeneration (breeding). Testing BB designs
is one of the goals of ITER (https://www.iter.org/proj/inafewlines)
possibly the biggest energy projects in the world.
Most BB concepts are based on a flow of molten led-lithium (Pb-Li)
that circulates under a strong magnetic field used to confine the plasma.

Because experiments are difficult to perform, specially in real operating
conditions, computational methods for BB design are urgently needed.
These methods need to address a robust shape optimization problem that
involves a magnetohydrodynamic flow, possibly with thermal instabilties.
There are several computational challenges that will be address during the
project, including solving large systems of equations for implicit time
integration, using embedded methods for the description of the geometry,
perform validation and verification of the models against available data
(which may require machine learning methods) and wrapping the model in a
robust optimization loop with the computation of shape sensitivites.
The developed methods will be implemented in the Julia programming
language, using the Gridap ecosystem as a basis (https://github.com/gridap)
and will exploit high performance computing resources.

Candidates should hold a degree in mathematics, engineering, computer
science, or physics and an excellent academic record. They also should have
good writing and communication skills including a high English level.

Expertise in software development tools (debugging, git/github),
linux/unix environments and functional or object-oriented programming
as well as parallel programming  will be an important asset.
Knowledge of computational fluid dynamics (ideally related to magnetohydrodinamic
flows), finite element modeling and/or optimization will also be positively considered.

Applications will be considered untill the position will be filled, so it
is advised to send them as soon as possible. Please send your application
(with academic record) and inquires to



Javier Principe, UPC BarcelonaTech & CIMNE
Francesc Verdugo, VU Amsterdam

Xavier Oliver, medalla Narcís Monturiol

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Nuestro compañero y ex-presidente, el prof. Xavier Oliver acaba de ser galardonado con la medalla Narcís Monturiol al mérito Científico y Tecnológico de la Generalitat de Catalunya. La medalla premia su contribución al desarrollo de la ciencia y la tecnología. El premio lleva el nombre del inventor y político catalán del s. XIX Narcís Monturiol Estarriol (1819-1885).

¡Nuestra más sincera enhorabuena en nombre de toda la comunidad que forma SEMNI!

Tenéis todos los detalles en https://actualitat.camins.upc.edu/es/node/8215

Plaza tesis doctoral en CIMNE

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CIMNE together with RMIT is offering a PhD position (see attached flyer) focused on metal Additive Manufacturing.
The selected candidate will have the opportunity to work both at CIMNE (computational mechanics) and at RMIT-Australia (AM labs).
Two supervisors are proposed, one for each center: I (Prof. Michele Chiumenti) will supervise the R+D work at CIMNE focusing on the software framework we are developing for metal AM process simulation. Prof. Andrey Molotnikov will supervise the experimental work carried out in Melbourne at the AM labs. 

We think that this is a great research opportunity and a fantastic experience in Barcelona and Melbourne too. 

We would be grateful if you can spread this call among possible interested candidates in your institution helping us with the diffusion.

David Codony, ganador de la ECCOMAS Ph.D. Olympiad 2022

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David Codony (LàCàN, UPC BarcelonaTech) y Marie Touboul (U of Manchester) has sido escogidos ganadores de la 2022 Ph. D. Olympiad en el último congreso de ECCOMAS celebrado en Oslo. Nuestra más sincera enhorabuena para los dos!

El prof. J. Peraire, Doctor Honoris Causa de la UPC-BarcelonaTech

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El viernes 3 de junio, el profesor Jaume Peraire recibirá el Doctorado Honoris Causa de la Universitat Politécnica de Catalunya. Podéis consultar toda la información en la nota de prensa de la UPC: https://www.upc.edu/en/press-room/news/the-upc-will-confer-an-honorary-doctoral-degree-on-civil-engineer-and-mit-professor-jaume-peraire-on-3-june

Plaza de posdoc en la UPC

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Postdoc/Scientific programming engineer in high- performance computational mechanics

The group on “Mechanics of soft and living interfaces” (https://www.lacan.upc.edu/mechanics-of-soft-and-living-interfaces/) lead by Professor Marino Arroyo (https://www.lacan.upc.edu/arroyo/) located at the UPC in Barcelona and affiliated to CIMNE and IBEC is seeking a highly skilled postdoctoral researcher or scientific programming engineer to join a software development team and contribute to our in-house C++ high-performance, finite element library called hiperlife. Hiperlife focuses on efficiently and flexibly solving coupled partial differential equations (PDE) on time-evolving surfaces, possibly coupled to bulk PDE, to understand a variety of highly nonlinear multiphysics problems arising from the analysis of thin shell structures, cellular meta-materials, shape-morphing interfaces, and cell and tissue mechanobiology. Our library is based on the Trilinos project, and aims at making advanced mathematical models, highly sophisticated computational technologies, and high-performance computing easily accessible to a wide range of scientists and engineers interested in interfacial problems.

The successful candidate will join a dynamical and interdisciplinary team with a world- class network of collaborators towards:

  • Creating the next-generation open-source software for interfacial multiphysics problems (focusing on mechanobiology) across platforms, from desktops to supercomputers
  • Develop advanced numerical methods and algorithms required to address cutting-edge scientific multidisciplinary problems
  • Deploy state-of-the-art, open-source software that will be used on a daily basis by a wide range of researchers around the world to advance science.Required qualifications
  • Strong skills in C++ programming and in unix-like operating systems
  • Ph.D. in computer science, computational mathematics, computational physics, or computational engineering. Applicants with a pertinent MS and sufficientexperience will be considered.
  • Experience and understanding of numerical methods for partial differentialequations.
  • Demonstrated software development expertise (e.g., active github account,successful projects, or documented open-source contribution)
  • Enthusiasm for programming, learning, problem solving, and tracking otherlibrary trends
  • Exceptional collaboration and communication skills, in particular in English
  • Understanding of computer systems, programming language constructs, and design patterns

Preferred qualifications