# PhD Research Intern

**Company**: NVIDIA
**Location**: Seoul
**Job type**: full-time
**Category**: Research
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Korea-Seoul/PhD-Researcher-Intern--World-Foundation-Models_JR2028487?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cb7b6747-8a9

## Description

NVIDIA is seeking a PhD research intern to advance world foundation models within NVIDIA Cosmos for Physical AI.

You will work with NVIDIA researchers and engineers to define and pursue a focused research project, develop new methods, and demonstrate measurable improvements through rigorous experimentation.

**Responsibilities**

- Research and develop model architectures, training objectives, and learning algorithms for video generation and world modeling, including diffusion or flow-matching approaches, multimodal conditioning, and spatial and temporal representations.

- Design controlled experiments and ablation studies, combining quantitative benchmarks with qualitative evaluation to diagnose model behavior, identify failure modes, and validate improvements.

- Explore training and inference efficiency through architectural changes, distillation, model compression, or other optimization techniques.

- Develop data curation and evaluation workflows, including model-assisted filtering, annotation, and quality assessment, and measure their impact on model performance.

- Throughout your project, you will collaborate with research and engineering teams and share findings through reproducible implementations, technical reports, and presentations.

**Requirements**

- Currently pursuing a PhD in Computer Science, Computer Graphics, Computer Engineering, Robotics, or a closely related field.

- Research experience in one or more relevant areas, such as generative modeling, computer vision, video understanding or generation, multi-modal learning, 3D vision, or robotics.

- Strong proficiency in Python and PyTorch, demonstrated through research implementations or substantial projects.

- Hands-on experience implementing, training or fine-tuning, and evaluating deep learning models.

- Ability to formulate research questions, design rigorous experiments, analyze results, and communicate findings clearly.

- Comfortable working in Linux and using standard development practices for ML research, including version control, testing, and experiment reproducibility.

**Nice to Have**

- Publications at venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or related conferences, or substantial research projects demonstrating original technical contributions.

- Background with human appearance or motion modeling, human-object interactions, 3D generative models, 3D/4D representations, or neural rendering.

- Experience assessing physical plausibility, diagnosing visual and temporal artifacts, or developing evaluations using perceptual metrics, human feedback, or learned evaluators.

- Experience with distributed training, GPU performance profiling, efficient data loading, or model acceleration.

- Prior experience with NVIDIA Cosmos is welcome but not required.

## Skills

### Required
- Python
- PyTorch
- Computer Vision
- Generative Modeling
- Multimodal Learning
- Robotics
- Computer Graphics

### Nice to have
- NeurIPS
- ICML
- ICLR
- CVPR
- ICCV
- ECCV
- 3D Generative Models
- Neural Rendering
- Distributed Training
- GPU Performance Profiling

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Korea-Seoul/PhD-Researcher-Intern--World-Foundation-Models_JR2028487?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)