Nvidia PhD Research Intern Cross-Disciplinary Vision Science - 

United States, Texas 

2406387

We, the

What you’ll be doing:

• Decompose research questions into smaller, more manageable parts and tackle them in iterative steps.

• Think critically to identify unseen gaps, and creatively bridge them with non-traditional, high-impact solutions.

• Connect with researchers and product engineers to ground research findings in real-world problems.

• Lead knowledge dissemination effort, with options for conference, journal, and in-house publication.

What we need to see:

• Currently pursuing a Ph.D. in the field of Cognitive Science, Neuroscience, Computer Science/Engineering, Electrical Engineering, or related fields..

• Experience in cross-disciplinary research that applies knowledge from human vision to drive innovations in AI and computer vision, demonstrated by one or more lead-author publications.

• Proficiency with Python.

• Experience with AI model training and evaluation framework PyTorch or similar.

• Comfortable with modern software development, version-control systems, like git(hub/lab).

• Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs).

• Strong understanding of deep learning fundamentals and recent trends.

Ways to stand out from the crowd:

• Prior work applying human vision science to machine learning and computer vision.

• Proficient in crafting, implementing, and conducting behavioral experiments involving human subjects and interactive visual stimuli.

• Experience with quantitatively modeling human perception, cognition, movement, and/or decision-making.

• Background with multi-node, multi-GPU training and inference workflows.

You will also be eligible for Intern

Applications for this job will be accepted at least until November 3,2025.