Listado de la categoría: Ofertas de trabajo

Ph.D. and Postdoc positions on mathematical and computational modeling of living matter

We have a 4-year FPI fellowship for a Ph.D. and a Postdoctoral position in the area of mathematical and computational modeling of living matter. The candidates will be involved in the mathematical and computational modeling of structural and regulatory modules toward autonomous biological systems.

The candidates will be supervised by Marino Arroyo (UPC, CIMNE, IBEC) and Pablo Sáez (UPC) in the research program “Cell and tissue mechanobiology” of the LaCàN at the Universitat Politècnica de Catalunya in Barcelona.

Application deadline: the official deadline is Oct 31st, 2023, but you are strongly encouraged to contact  or  as soon as possible with a presentation paragraph, a CV, and transcripts.

Starting date: Fall 2023

Located in the city of Barcelona, the Universitat Politècnica de Catalunya – BarcelonaTech (UPC) is one of the largest technical universities of the 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.

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/) led 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 sufficient experience will be considered.

• Experience and understanding of numerical methods for partial differential equations.

• Demonstrated software development expertise (e.g., active github account, successful projects, or documented open-source contribution)

• Enthusiasm for programming, learning, problem-solving, and tracking other library 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 method

Candidates 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 autumn of 2023. 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 a CV as soon as possible with a list of 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-2023” 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 the 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.

Dear colleague,The State Research Agency (AEI) has published the call for PhD contracts to be performed at Severo Ochoa Excellence Research Centers or within the research projects funded in the call of 2022. The application period will be open from Jan 12th, 2023 to Jan 26th, 2023 at 14:00h CET. All applications must be submitted through the submission service. The call offers up to 11 PhD Student positions at the Basque Center for Applied Mathematics – BCAM.

The program is open to students of any nationality. Contracts will be 4-year long and those PhD Students that defend their thesis before that period will be issued a postdoctoral contract up to the end of the 4-years grant. This grant can also fund the doctoral course tuition fees and predoctoral mobility (up to 6,860€ in total). Incorporation in Sept 2023 or Sept 2024. The BCAM PhD contract will start when the selected candidate has finished the Master’s program. More information (* in Spanish):BCAM websiteOfficial website *The official announcement (PDF) *Unified register for candidates *Submission service *FAQs and how to apply *

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