About the role

  • Explore and apply advanced machine learning techniques in Autodesk Research’s AI Lab
  • Contribute to meaningful projects focused on generative methods for content creation
  • Enable intuitive and seamless use of physics within animation tools
  • Collaborate with researchers, engineers, and industry domain experts on various projects including learning-based design systems, computer vision, and robotics
  • Target publications at top-tier conferences (CVPR, NeurIPS, ICML, SIGGRAPH, ICLR)

Requirements

  • Full-time student pursuing a Ph.D. in Computer Science, Computer Graphics, Computational Physics, Machine Learning or a related discipline
  • Broad understanding of machine learning and deep learning
  • Excellent programming and software development skills, with experience in Python or C++
  • 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: Deep expertise in areas like computer graphics, 2D/3D geometry representation learning, generative models, and unsupervised/self-supervised learning
  • Experience with differentiable physics, data-driven computational physics, solver-driven learning, physics-informed models, multi-physics, and coupled systems
  • Bonus: experience with physics real-time engines (Bullet, Unreal, or PhysX)
  • Bonus: experience with modeling tools (Maya, Houdini, or Blender)

Benefits

  • Flexible workplace approach supporting office, remote and hybrid work preferences
  • Mentorship from industry leaders
  • Participation in tech talks and professional development activities

Job title

PhD Intern, AI Research Scientist

Job type

Experience level

Entry level

Salary

$118,560 - $162,240 per year

Degree requirement

Postgraduate Degree

Location requirements

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