Listado de la categoría: Ofertas de trabajo

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 ().

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

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

• Familiarity with high-quality software practices (test-driven development, documentation, software review processes, and cross-platform support).
• Experience with linear algebra libraries (Trilinos/PETSc)
• Experience with large-project build systems (e.g. CMake)
• Familiarity with revision control systems (e.g. git)
• Experience with MPI or multi-threaded programming
• Understanding of the finite element methodCandidates lacking some of the required qualifications but with a strong motivation to expand their expertise will be considered.You will have access to state-of-the-art computing facilities, a generous travel allowance for conferences and specialized training, and will be given the freedom to develop your own ideas and collaborate within the group and with other groups.Besides Skype interviews, it is possible to arrange on-site visits to the lab and the campus in Barcelona. The starting date is flexible during the summer/autumn of 2022. We offer initially a one-year contract, with the possibility of extending it based on the candidate’s performance.Interested applicants are encouraged to send as soon as possible a CV with a list of at up to 3 references and a very concise statement describing your past research/technical experience and your interests. This and specific inquiries should be addressed to Marino Arroyo () and Pablo Sáez () with “Postdoc/Scientific programming engineer-2022” in the subject line.Located in the city of Barcelona, the Universitat Politècnica de Catalunya -BarcelonaTech (UPC) is one of the largest technical universities of southern EU, with over 30,000 students spanning all levels from undergraduate to PhD, and employing over 2,500 faculty. Within UPC, the LaCàN research center develops new mathematical and computational models to enable quantitative and predictive science and engineering, specifically in the field of cell and tissue mechanobiology.

PROYECTO: “HPC Simulation of Metal Powder Segregation in manufacturing of cored wire – SIMPSEG”.

REFERENCIA DE LA OFERTA: CITMAga-OT-09/2022.

DESCRIPCIÓN DEL PUESTO: 1 contrato como investigador/a para el proyecto de investigación en el marco del proyecto SIMPSEG, concedido en la convocatoria de financiamiento en cascada FF4EuroHPC Call-2 del proyecto FF4EUROHPC: HPC innovation for european SMES, el cual está financiado por la Unión Europea a través del programa marco Horizon 2020 (https://cordis.europa.eu/project/id/951745).

“FF4EuroHPC project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 951745”.

RESPONSABLE: Dra. Elena B. Martín Ortega, profesora titular del Departamento Ingeniería mecánica, máquinas y motores térmicos y fluidos de la Universidad de Vigo e investigadora vinculada a CITMAga.

PERFILES DE LOS CANDIDATOS: Licenciados/as, Ingenieros/as, Graduados/as, Másteres relacionados con las Matemáticas, la Ingeniería, la Física y la Informática.

MÉRITOS Y REQUISITOS A VALORAR:

    Formación y experiencia general a valorar (40 puntos, todas las aportaciones deben estar documentadas).

o   Expediente académico del grado o licenciatura, ingeniería, máster (en su caso).

o   Grado de afinidad de las titulaciones del candidato con el ámbito de la Matemática Industrial.

o   Conocimiento y experiencia previa en modelización, simulación numérica y optimización, y en la implementación y validación en ordenador de algoritmos y métodos numéricos.

o   Conocimiento y experiencia previa en la modelización matemática y en la simulación numérica relacionada con la temática del proyecto.

o   Conocimiento y experiencia en la ejecución de modelos numéricos en HPC.

o   Conocimientos de inglés.

    Conocimientos y experiencia adicional y específica a valorar (30 puntos, todas las aportaciones deben estar documentadas).

A la hora de valorar las candidaturas presentadas también se tendrá en cuenta la experiencia en algunos de los siguientes campos relacionados con los ámbitos de investigación del Proyecto, no siendo necesario tener experiencia en todos ellos:

o   Conocimiento de método de elementos discretos (DEM/DPM), para simular modelos parametrizados de sistemas granulares sólidos.

o   Programación en lenguajes de cálculo científico (C++, Matlab, Python, etc.).

o   Experiencia en el uso de software libre de simulación numérica (LIGGGHTS, MercuryDPM, OpenFoam).

o   Experiencia en el uso de software en entornos Linux.

o   Experiencia profesional previa relacionada con la temática del proyecto.

o   Se valorará la posesión de grado de doctor o máster en disciplinas afines a la temática. 

    Entrevista personal y cartas de recomendación (30 puntos).

Las personas candidatas seleccionadas de acuerdo con los criterios anteriores serán convocadas a una entrevista personal y a una prueba relativa a las funciones del puesto. En esta tercera fase se tendrán en cuenta las cartas de recomendación que lleguen para el candidato; sólo se admitirán 3 cartas de recomendación por candidato, que deberán ser remitidas directamente por la persona que emita el informe y no el propio candidato. Se entrevistará al menos a las/os tres candidatas/os  con mejor valoración y que entre los dos apartados anteriores hayan alcanzado al menos 35 puntos.

CONDICIONES: 

     Retribución bruta mensual: 1.862,62 € en 12 pagas. Esta plaza llevará un complemento de proyecto de 187,46 € mensuales.

     Fecha inicio prevista: a partir del día siguiente a la fecha de resolución de la selección.^[1]

     Duración: 13 meses.^[2]

     Jornada laboral: tiempo completo.

LUGAR DE TRABAJO: Centro de Investigación y tecnología Matemática de Galicia (CITMAga), Campus Lagoas-Marcosende, Vigo (Pontevedra).

ENVÍO DE SOLICITUDES 

Las personas interesadas en este contrato deberán enviar antes del 19 de abril de 2022 a las 23:59 horas las solicitudes, que deberán incluir (en gallego, castellano o inglés): una carta de presentación que resuma la trayectoria del solicitante con los méritos y experiencia a valorar en la convocatoria, el currículum vitae (con teléfono móvil y correo electrónico), el título y los expedientes académicos de Grado/Licenciatura/Ingeniería y Máster; y la vida laboral (que acredite los méritos profesionales que aparecen en el currículum vitae). Las cartas de recomendación, sólo se admitirán si las envía directamente la persona que informa (y no el propio candidato/a). Toda la documentación se remitirá a la siguiente dirección de correo electrónico: indicando en “asunto” la referencia de la oferta CITMAga-OT-09/2022. Una vez recibida la solicitud se confirmará la recepción de la misma mediante correo electrónico. Los candidatos que sean convocados a la fase de entrevista deberán aportar documentación original de los méritos aportados.  

MÁS INFORMACIÓN: En la web

http://www.itmati.com/en/citmaga-ot-09-2022