Postdoctoral Fellow,Composite Structure Virtual Testing Job Ottawa area,Ontario Canada,Engineering

Tenure:

Term

Duration: 2 years

Language Requirements: English

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

The NRC’s Postdoctoral Fellowship program offers PDFs access to unique world-class facilities and the opportunity to work alongside multi-disciplinary teams of expert researchers and technicians on projects of critical importance to Canada. PDFs will carry out research on innovative research projects, with opportunities for career development (publications and/or industry interaction).

PDFs will be offered appointments to the staff of the National Research Council on a term basis and will be offered salaries and benefits currently available to Research Officers. Salaries commensurate with experience are taxable and subject to other deductions. As a guide, the current annual PhD recruiting rate is $83,985. In addition PDFs will be allocated a travel fund to support their work.

Project title

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.

For information on certificates and diplomas issued abroad, please see Degree equivalency

Experience

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 Stress Check 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.

Language requirements

English

Information on language…