Postdoctoral Research Assistant in Computational Solid Mechanics

Description

We are seeking a full-time Postdoctoral Research Associate in Computational Solid Mechanics to join Prof. Emilio Martinez-Paneda’s research group (the Mechanics of Materials Lab) at the Department of Engineering Science (central Oxford).  This fixed-term post is funded by an UKRI Future Leaders Fellowship grant (NEWPHASE).  This post is available for 12 months in the first instance.

We are looking for a researcher with interesting in running finite element simulations to understand inter-disciplinary mechanics topics spanning the areas of biology, materials science and glaciology, with a particular emphasis on coupled multi-physics problems. Examples include the growth of crevasses in large ice-sheets, the modelling of neurogenerative diseases, the degradation of Li-Ion batteries, and the corrosion and hydrogen embrittlement of metallic materials. There is certain flexibility and the tasks can be tailored the strengths and interests of the applicant. You will have the opportunity to use commercial finite element packages such as COMSOL or ABAQUS but also in-house or open-source codes such as FEniCS or MOOSE. You will also be expected to take part in collaborative work, take part in the activities of the research group, submit publications to reputed journals and liaise with academic collaborators and sponsors.

You must have obtained or be close to obtaining a PhD in engineering, mathematics, physics, materials science, or other closely-related disciplines. Also, you should have experience in at least one of the following:

•            Finite element analysis

•            Multi-physics modelling

•            ABAQUS or COMSOL

•            Fracture Mechanics

•            Phase field models

•            Computational Mechanics

Informal enquiries may be addressed to Prof. Emilio Martinez-Paneda  (email: )

For more information about working at the Department, see

www.eng.ox.ac.uk/about/work-with-us/

Only online applications received before midday on Monday 2nd December 2024 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

For those candidates about to finish their PhD degrees, a lower grade offer may be made (Grade 6: £34,982 – £40,855 p.a.) with a commensurate reduction in responsibilities (and amendment in job title to Research Assistant) until the PhD is awarded .

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

Keywords – Computational Solid Mechanics, Finite Element Analysis, Numerical Analysis, Multi-Physics Modelling, Phase Field Methods

Salary

Research Grade 7: £38,674 – £46,913 per annum

Closing date

Dec 02, 2024 12:00PM

Contact name: Emilio Martinez-Paneda

Contact email:

Two post-doc positions at the University of Zaragoza

2 Postdocs position on physics-informed AI
 
In the context of the ESI Group-UZ Chair of the Spanish National Strategy on AI, we are looking for two highly skilled postdoctoral researchers to join the chair in the following two topics:

AI-powered mechanics of materials

One of the challenges of nowadays industry is to be able to accurately introduce the observed behavior of complex materials into high-fidelity simulations. In this framework, plasticity and damage play a fundamental role. Our thermodynamics-informed neural networks are an appealing choice for the incorporation of theoretical inductive biases to the learning process of complex constitutive equations including plasticity and damage.

Accelerating simulation by Artificial Intelligence

One of the biggest appeals of physics-informed neural networks relies in the possibility of developing learned simulators. Learned simulators are particular instances of simulation systems that are constructed not by discretization of the governing PDE—which may even be unknown—but by learning from data.
In this project, the objective is primarily to speedup complex parametric simulations. The typical example of such a simulation is a detailed crash test.

The successful candidates will join a dynamical and interdisciplinary team with a world-class network of collaborators towards:
• Creating the next-generation physics-informed AI techniques
• 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 and industries around the world to advance science.

Required Qualifications

• Strong skills in phyton programming, preferably with a strong background in PyTorch
• Knowledge and previous experience in the development of physics-informed AI
• Ph.D. in computer science, computational mathematics, computational physics, or computational engineering. 
• Experience and understanding of numerical methods for partial differential equations.
• Enthusiasm for programming, learning, problem-solving, and tracking other library trends
• Exceptional collaboration and communication skills, in particular in English
• Strong background in computational solid and fluid mechanics
• Experience in finite element programming

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. These positions are designed so as to allow you to grow your abilities as a research advisor, by directing and collaborating with our doctoral students, under the supervision of profs. Cueto, González and Alfaro.

Besides Skype interviews, it is possible to arrange on-site visits to the lab and the campus in Zaragoza. 

The preferred starting date is June 2024 (or as soon as possible). We offer a two-year contract.
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 Elías Cueto ().

Positions at UPC-BarcelonaTech

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.

3 positions within the GECKO project

Dear colleagues and friends,

prof. Riccardo Rossi is sending us three job openings within the GECKO project. Please circulate them among potentially interested people:
https://gecko.cimne.com/job-openings/

Best regards.

Research positions at BCAM

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 *

Dos plazas de investigadores en la UdC

Queridos compañeros,

os adjuntamos una oferta de trabajo en la UdC en el grupo de Métodos Numéricos, rogando la máxima difusión, como siempre, entre los posibles interesados.

— 

Estimados compañeros:

Me pongo en contacto con vosotros para informaros de que en el Grupo de Métodos Numéricos en Ingeniería de la Universidade da Coruña queremos incorporar a dos investigadores para trabajar en un proyecto sobre modelización numérica para almacenamiento geológico de hidrógeno del que somos investigadores principales el profesor Ignasi Colominas y yo.

Los contratos de investigación son a tiempo completo y con vigencia desde el 1 de marzo de 2023 hasta el 30 de noviembre de 2024, si bien nuestra intención es dar continuidad a esta línea de investigación posteriormente.

El plazo de presentación de solicitudes finaliza el día 18 de enero de 2023 para el primer contrato y el día 19 de enero de 2023 para el segundo contrato. Toda la información relevante sobre los contratos figura en los enlaces anteriores.

Parar cualquier tipo de información adicional no dudéis en contactar directamente con nosotros. Os agradecería que, en su caso, le hagáis llegar esta información a otras personas que puedan estar interesadas.

Muchas gracias.

Un abrazo y feliz año a todos.

José

Plaza post-doctoral en la Universidad de Zaragoza

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 ().

Oferta de tesis en Purdue

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