Physics Informed AI/ML Researcher

PowerToFly; Toronto; On-site; CAD 60,000 - 80,000; Full time

Job summary

A technology company is seeking a Research Scientist to join the Computational Sciences group. This role focuses on developing and implementing physics-informed AI/ML algorithms in design tools. The ideal candidate will have a PhD in relevant fields and 3+ years of experience in computational physics, AI/ML methods, and strong communication skills. You'll collaborate with a multi-disciplinary team to shape innovative solutions in the design and manufacturing sectors, contributing to meaningful advancements in technology.

Benefits

Annual cash bonuses

Comprehensive benefits package

Stock grants

Qualifications

• PhD with 3+ years of experience in relevant fields.
• Expertise in computational physics and numerical methods.
• Strong publication history in relevant conferences and journals.

Responsibilities

• Research and implement physics-informed AI/ML algorithms.
• Design and create physics-informed AI/ML workflows.
• Mentor researchers and participate in collaborations.

Skills

Computational physics

Numerical methods

Machine learning

AI/ML algorithms

Python

C++

Collaboration

Communication

Education

PhD in Physics, Applied Mathematics, Computer Science, or Engineering

Tools

PyTorch

TensorFlow

Flax

Job description

Job Requisition ID #

25WD90894

Position Overview

The Computational Sciences group within Autodesk Research is seeking exceptionally talented and experienced Research Scientists to join our team. We are focused on advancing the state-of-the-art for design tools to allow architects, artists, designers, and engineers to “Make Anything”. Our research centers around generative methods for the design, manufacturing and construction of objects in the built environment and spans physics-based modeling, simulation, design optimization and inverse problems. You will join a group shaping the future of physics informed AI/ML and its applications in areas of interest to Autodesk. You will work closely with experts in geometric modeling, simulation, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction.

The Physics Informed AI/ML group will be specifically focused on researching and implementing novel algorithms for physics-informed AI/ML for use in design, simulation and engineering tools. We are interested in physics-based generative models, surrogate and reduced-order models, data assimilation and digital twins, physics-based reasoning and the interpretation of physical results using AI/ML.

Responsibilities

• Research and implement physics-informed AI/ML algorithms, and demonstrate their applicability to areas of interest for Autodesk

• Design and build physics-informed AI/ML workflows and data pipelines, create and curate training data, develop and test models

• Work closely with a multi-disciplinary team of research scientists and engineers to conceive, plan, develop, and implement scientific research projects

• Mentor or lead researchers, engineers and interns (undergraduate, graduate or post-doctoral)

• Participate in research collaborations with external research institutes and universities

• Publish papers in peer-reviewed scientific journals/conferences

• Document and communicate the intent and the results of projects in clear terms to both technical and non-technical team audiences both internally and externally

• Promote the use of research findings throughout Autodesk

• Consult with product teams on the implementation of research into products

Minimum Qualifications

• PHD’s in Physics or Applied Mathematics, Computer Science, Engineering and 3+ yrs of professional experience

• Excellent knowledge of computational physics and numerical methods, e.g. for deriving and solving the large linear and non-linear systems that arise from discretizing differential equations

• Knowledge of computational geometry, topology and geometric deep learning

• Extensive experience with methods that combine modern machine learning and AI/ML methods with computational physics algorithms

• Familiarity with best practices in data creation, data and workflow management as related to training AI/ML models

• Experience creating and training machine learning models at scale (e.g. using PyTorch, TensorFlow, Flax, etc)

• Ability to articulate how physics-informed AI methods relate to more traditional numerical methods, surrogate models, reduced order models and simulation approaches in, for example, CFD or computational mechanics

• Python and C++. Familiarity with HPC techniques

• Familiarity with collaborative development environments and version control systems

• Excellent written and oral communication skills

• Strong publication history in relevant conferences and journals

• Ability to quickly learn new technologies and adapt to new situations

• Ability to collaborate effectively with a diverse, multicultural, global team of scientists, engineers and architects

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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