Postdoctoral Fellow, Composite Structure Virtual Testing

National Research Council of Canada; Ottawa; In loco; CAD 84.000 - 117.000; Tempo pieno

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Relocation assistance

Descrizione del lavoro

National Research Council of Canada seeks a Postdoctoral Fellow to advance Certification-by-Analysis for composite airframes. You will develop a Physics-Informed Mesh Graph Network solver, integrating deep learning with the physics of composite structures to achieve significant speedups over traditional FEA while maintaining accuracy.

You will collaborate with NRC researchers, contribute to publications, and participate in verification, validation, and uncertainty quantification efforts for

Competenze

• PhD in mechanical, civil, or aerospace engineering with focus on computational mechanics of composite structures.
• Proven experience in composite structure damage modelling using the finite element method.
• Proven experience in Abaqus, including user-subroutine development and coding.
• Proven experience and sound understanding of machine learning theory and techniques applicable to engineering problems.

Mansioni

• Certification-by-Analysis (CbA) of composite airframe structures using physics-informed ML approaches.
• Develop a PI-MGN solver integrating deep learning with governing physics for speedup over conventional FEA.
• Collaborate with NRC researchers to design, analyze, and optimize composite airframe structures.
• Communicate results through publications and presentations; support VV/UQ activities.

Conoscenze

Composite modelling

Abaqus

Python

ML concepts

FEM experience

Formazione

PhD in mechanical, civil, or aerospace engineering (computational mechanics)

Strumenti

Abaqus Usubr

Nastran/Patran

ANSYS

Python

Descrizione del lavoro

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Postdoctoral Fellow, Composite Structure Virtual Testing

Priority will be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.

* The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities.

Candidates are asked to self-declare when applying to this hiring process.

OrganizationalUnit:Aerospace

Classification:RO

Duration: 2 years

Work arrangements: Due to the nature of the work and operational requirements, this position may be eligible for a limited hybrid work arrangement (combination of working onsite and telework).

The program

Postdoctoral Fellow, Composite Structure Virtual Testing

The role

Certification-by-Analysis (CbA) of composite airframe structures has gained increasing interest as an alternative to full-scale tests to demonstrate compliance with regulatory requirements through modelling and simulation. Compared with high-fidelity finite element analysis (FEA), a computational framework based on Physics-Informed Mesh Graph Networks (PI-MGN) could provide fast, reliable, and data-efficient analysis to simulate the intricate failure mechanisms inherent to composite airframe structures. The goal of this project is to develop a PI-MGN solver by integrating deep learning with the governing physics of the problem, enabling models to achieve up to two orders of magnitude speedup over conventional FEA solvers, while maintaining the prediction accuracy required by CbA. Ultimately, this numerical tool will provide an efficient, trustworthy means to design, analyze, and optimize composite airframe structures, with quantified reliability. This will help shorten aerospace design cycles, reduce development costs, and accelerate the deployment of innovative, sustainable aircraft technologies.

Education

PhD in mechanical, civil, or aerospace engineering with focus on computational mechanics of composite structures.

• Proven experience in composite structure damage modelling using the finite element method;
• Proven experience in Abaqus, including user-subroutine development and coding; and
• Proven experience and sound understanding of machine leaning theory and techniques applicable to engineering problems.

Assets:

• Experience with modelling Verification, Validation, and Uncertainty Quantification (VVUQ);
• Hands-on experience in composite fabrication and mechanical testing;
• Experience in using finite element software such as Nastran/Patran, ANSYS, and/or StressCheck for structural analysis;
• Experience and understanding in structural optimization;
• Experience in data analysis, large dataset handling, and Python programming;
• Experience in the publication of research papers, demonstrated by authorship of publications in high-impact peer-reviewed scientific journals;
• Experience in delivering clear presentations - effectively translating complex concepts for diverse audiences to drive understanding and collaboration;
• Experience in working both independently and collaboratively in multi-disciplinary research teams;
• Experience in project management, including planning, organizing, managing, monitoring, and completing multiple projects and initiatives.

For a Reliability Status, verification of background information over a period of 5 years is required.

Who is eligible?

• Fellowships will be for two years contingent on satisfactory progress achieved during the first year.
• Candidates should have obtained a PhD (or equivalent) within the past three years (PhD received on or after July 1, 2024*) or expect to complete their PhD within 6 months of appointment.
• Fellows will work in a lab under the direct supervision of an NRC researcher.

*Exceptions may be considered to recognize personal or family related leave. Please connect with us using the contact information below to discuss in more detail.

Compensation

The intent of this hiring action is to staff the position at the AsRO level, which is an early-career level position with a salary range of $83,985 to $116,641. This wide range accounts for varying degrees of expertise and impact, and growth within the role.

Salary determination will be based on a thorough evaluation of the successful candidate's prior experience. This evaluation will consider specific achievements, skills, and contributions that demonstrate the candidate's impact and expertise. As a guide, the average starting rate for new PhD graduates entering this role is $83,985.

• NRC employees also enjoy a wide-range of competitive benefits including a robust pension plan, comprehensive health and dental coverage, disability and life insurance, office closure at the end of December, and additional supports to enhance your well-being throughout your career and beyond.

Discover the possible

Anything is possible at the NRC, named in 2026 one of Canada's Top Employers for Young People, Top Employer in the National Capital Region and Forbes Canada's Best Employers!

Canada's largest research and innovation organization, our world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canada's future and the world.

At the NRC, you'll also discover new possibilities. Our supportive workplace fosters a culture of creativity, welcoming fresh perspectives and innovation at all levels. We value teamwork. You'll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly, you'll discover what's possible within you as you grow, make valuable contributions and progress in your professional journey. From ground-breaking discoveries to a life-changing career, discover your possible at the NRC.

Notes

• In 2026, the NRC was chosen as one of Canada's Top Employers for Young People, a National Capital Region Top Employer and Forbes Canada's Best Employer.
• Relocation assistance will be determined in accordance with the NRC's directives.
• Fellowships are open to nationals of all countries, although preference will be given to Canadian citizens and permanent residents of Canada. Please include citizenship information in your application.
• The incumbent must adhere to safe workplace practices at all times.
• We thank all those who apply, however only those selected for further consideration will be contacted.

Please direct your questions, with therequisition number (26215) to:

Closing Date: 7 January 2027- 23:59 Eastern Time