# PhD Research Intern in AI Lab

**Company**: Autodesk
**Job type**: internship
**Category**: Research
**Industry**: Technology

**Apply**: https://autodesk.wd1.myworkdayjobs.com/en-US/Ext/job/Toronto-ON-CAN/PhD-Researcher--AI-Research_26WD101373-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f64f6942-d27

## Description

As a PhD Research intern in Autodesk Research's AI Lab, you will explore and apply advanced machine learning techniques to empower customers in designing and building a better, safer, and more sustainable world.

We are seeking a research intern to join our research team focused on machine learning and generative methods for content creation in the media and entertainment space. In this role, you will conduct research on novel methods for character animation and related problems at the intersection of machine learning and computer graphics.

Responsibilities:

- Conduct research on machine learning methods for character animation and related problems in media and entertainment

- Formulate research questions, conduct literature reviews, and design experiments to investigate them

- Build prototypes to test and explore concepts

- Evaluate research findings and prototypes to make recommendations for impacting business and products

- Author a full research paper

- Present the results of your research externally and internally

Minimum Qualifications:

- Full-time student pursuing a Ph.D. in Computer Science, Computer Graphics, Computational Physics, Machine Learning or a discipline in an accredited program

- Broad understanding of machine learning and deep learning

- Excellent Programming and software development skills, with experience in Python

- Proficient with ML & DL platforms & libraries (PyTorch, TensorFlow, Keras, ONNX/Runtime, scikit-learn, etc.)

- Experience conducting research and publishing results

- An excellent communicator and team player

Preferred Qualifications:

- Deep expertise in one or more areas such as computer graphics, character animation, motion generation, 2D/3D geometry representation learning, generative models, and unsupervised/self-supervised learning

- Experience with differentiable physics, data-driven computational physics, solver-driven learning (physics-in-the-loop), physics-informed models

- Experience with transfer learning, fine-tuning, few-shot learning, or other data-efficient learning methods is a plus

- Bonus: experience with physics real-time engines (such as Bullet, Unreal, or PhysX)

- Bonus: experience with modeling tools (such as Maya, Houdini, or Blender)

The 2027 Canada Research intern program runs for 18 weeks (May 24th – Oct 1st, 2027). All internships are paid.

## Skills

### Required
- Machine Learning
- Deep Learning
- Python
- Computer Graphics
- Computational Physics

### Nice to have
- Character Animation
- Motion Generation
- Generative Models
- Unsupervised Learning
- Self-Supervised Learning
- Differentiable Physics
- Data-Driven Computational Physics
- Transfer Learning
- Fine-Tuning
- Few-Shot Learning
- Physics Real-Time Engines
- Modeling Tools

---

Source: [Apply at autodesk.wd1.myworkdayjobs.com](https://autodesk.wd1.myworkdayjobs.com/en-US/Ext/job/Toronto-ON-CAN/PhD-Researcher--AI-Research_26WD101373-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
