PhD Research Intern, Digital Human AI Research

2 Months ago • Upto 1 Years • Artificial Intelligence • Research & Development

Job Summary

Job Description

NVIDIA's Digital Human AI Research (DAIR) group seeks a PhD Research Intern to contribute to the creation of lifelike digital humans. Responsibilities include designing and implementing novel AI algorithms for digital human creation and animation, developing large-scale AI training and inference methods, collaborating with mentors and product teams for technology transfer, and publishing research at leading conferences. Research areas encompass foundational models, pose estimation, 3D reconstruction, motion modeling, neural rendering, simulation, and generative AI techniques. The ideal candidate will have a strong background in computer science/engineering, machine learning, and experience with frameworks like PyTorch and TensorFlow.
Must have:
  • PhD in relevant field
  • AI algorithm design & implementation
  • Large-scale AI training & inference
  • PyTorch/TensorFlow proficiency
  • Strong research record
Good to have:
  • C++ and CUDA proficiency
  • 3D human reconstruction experience
  • Human motion modeling expertise
  • Generative modeling knowledge
  • Experience with physics/neural simulators

Job Details

NVIDIA is searching for an outstanding research intern to join the Digital Human AI Research (DAIR) group to work on creating lifelike digital humans. Our goal is to improve and democratize the entire digital human creation process, including capture, modeling, synthesis, and animation, with an emphasis on both appearance and dynamic characteristics.

You will work with a passionate and collaborative research team that consistently produces influential works published at leading computer vision and machine learning conferences. You will also have a chance to collaborate with other world-class research teams at NVIDIA following NVIDIA’s one-team culture.

What you’ll be doing:

  • Design and implement novel AI algorithms for digital human creation and animation.

  • Develop large-scale AI training and inference methods for digital human foundation models.

  • Work collaboratively with your mentor(s).

  • Publish your research at leading conferences.

  • Work with product teams for technology transfer.

Research Topics Include:

  • Foundational Models for Digital Humans.

  • Pose estimation and tracking.

  • 3D Human Reconstruction and Generation.

  • Human Motion Modeling.

  • Neural Rendering, 3DGS, etc.

  • Neural/Physics Simulation

  • Generative AI, Diffusion, GANs, LLMs, etc.

What we need to see:

  • Pursuing a PhD degree in Computer Science/Engineering, Electrical Engineering, etc.

  • Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Tensorflow, etc.). Python is required; C++ and CUDA proficiencies are a plus.

  • Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure.

  • Promising research track record.

  • Background in 3D human reconstruction, human motion modeling, human-object interaction, generative modeling of humans, physics/neural simulators and cloth modeling is desirable.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing digital humans!

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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