Autodesk
Design and make software for architecture, engineering, construction, and entertainment industries.
PhD Intern, Computational Physics-Shape Optimization
Develop differentiable FE solver and gradient-based shape optimization for mechanical assemblies
Job Highlights
About the Role
The intern will contribute technical expertise to the SOS Group and conduct original research on shape sensitivity, structural optimization, and shape parameterizations. They will derive sensitivity equations for various performance functions, implement them in the FE solver, and expand the toolbox to support full differentiability. Reviewing relevant academic literature and benchmarking the updated solver will also be key tasks. • Implement full differentiability in Autodesk’s in‑house finite‑element solver. • Extend shape parameterization to multi‑component mechanical assemblies. • Develop and apply gradient‑based optimization algorithms for assembly design. • Derive and code sensitivity equations for structural performance metrics. • Review academic literature and benchmark the enhanced FE toolbox.
Key Responsibilities
- ▸fe solver
- ▸full differentiability
- ▸shape parameterization
- ▸gradient optimization
- ▸sensitivity equations
- ▸literature review
What You Bring
Candidates must be currently pursuing a PhD in Mathematics, Physics, Engineering sciences, or a related discipline. Strong knowledge of the adjoint method and gradient‑based constrained optimization, along with proficiency in Python and/or C++, is required. Experience with shape optimization algorithms and familiarity with variational PDE methods, free‑form deformation, or reduced‑basis modeling are highly valued. • Pursuing a PhD in a quantitative discipline such as Math, Physics, or Engineering. • Proficient in Python and/or C++ with experience using scientific libraries. • Deep understanding of adjoint methods and gradient‑based constrained optimization. • Prior work on shape optimization algorithms and sensitivity analysis. • Familiarity with variational PDE methods, free‑form deformation, or reduced‑basis modeling (preferred).
Requirements
- ▸phd
- ▸python
- ▸c++
- ▸adjoint
- ▸optimization
- ▸shape optimization
Benefits
The 2026 Canada Intern Program runs for 16 weeks (May 4 – August 21) and offers a paid internship. Interns receive mentorship from industry leaders, participate in tech talks, and have access to activities that support personal and professional development. Autodesk’s Flexible Workplace approach allows for office, remote, or hybrid work preferences. Autodesk creates software that enables innovators to design greener buildings, cleaner cars, smarter factories, and major entertainment productions. The company’s culture emphasizes collaboration, customer focus, and a commitment to building a better world for everyone. Employees, known as Autodeskers, have the opportunity to do meaningful work that shapes both the market and their own futures. Compensation includes a competitive salary package adjusted for experience, education, and location. Autodesk prioritizes diversity and belonging, fostering an environment where all individuals can thrive. • Paid 16‑week internship (May 4 – August 21) with mentorship from industry experts. • Access to tech talks, professional development activities, and a flexible work model. • Opportunity to contribute to published research or internal communications. • Inclusion in Autodesk’s diverse and inclusive workplace that values belonging.
Work Environment
Hybrid