Postdoctoral Associate: Design Optimization, DfAM: Design for Additive Manufacturing & 3D printing, Finite Element Analysis (FEA / FEM)

Queen's University

Kingston, Canada

ID: 7058258
Posted: June 30, 2019
Application Deadline: Open Until Filled

Job Description

Functional Area: Research, Mechanical Design, Software / App. Development
Department: Mechanical and Materials Engineering, Queen’s University, Canada
Lab: Structural and Multidisciplinary Systems Design Lab (SMSD)
Employment Type: Full-Time

POSTDOCTORAL ASSOCIATE, Structural and Multidisciplinary Systems Design Lab, to support, expand, and develop computational design tools and software packages across various research projects including: topology optimization (TO); multi-material topology optimization (MMTO); design for additive manufacturing (DfAM); nonlinear finite element analysis (NL-FEA); machine learning (ML); and packaging optimization (PO). Apply linear and non-linear modeling, analysis, and multi-physics finite element methods to characterize mechanical system responses. Optimize mechanical system responses through advanced numerical methods and non-linear solution techniques. Incorporate knowledge of practical design and manufacturing for part-level and system-level prototyping. Contribute to active industry projects in the automotive, aerospace, energy, and defense sectors. Opportunity to apply machine learning / deep learning.
• PhD in Mechanical Engineering, Mathematics, Materials Engineering, or equivalent.
• Familiarity with design optimization and/or finite element method.
• Proficiency with software engineering with Python, and/or Fortran, and/or C++.
• Experience with reading, interpreting, and modifying third-party software code.
• Experience with finite element analysis (ANSYS, and/or HyperWorks, and/or LS-DYNA).
• Excellent interpersonal, written and verbal communication skills.
• Research experience with mechanical design and optimization.
• Record of peer-reviewed publications.
The Structural and Multidisciplinary Systems Design Lab (SMSD) at Queen’s University is a leading research organization that specializes in advanced numerical modeling and multidisciplinary design optimization. This state-of-the-art research body has extensive experience in developing and publishing novel academic research for automotive, aerospace, energy, and defence driven applications, utilizing analytical and computational optimization techniques to develop new principles and methodologies that solve practical problems with various industrial partners. Dr. Il Yong Kim’s SMSD group is currently seeking talented candidates to apply for Postdoctoral Associate positions who are interested in contributing to advanced research programs.

Active industry partners in four sectors (aerospace, automotive, defense, energy) including: General Motors; Magna International; General Dynamics Canada; Bombardier Aerospace; Pratt & Whiney Canada; Safran Landing Systems; Bombardier Transportation; Royal Military College of Canada; National Research Council.

If you are interested in applying for a Postdoctoral Associate position with the Structural and Multidisciplinary Systems Design Lab, please send a CV and (unofficial) academic transcripts to Dr. Il Yong Kim (


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