PhD Research Intern, Cross-Disciplinary Vision Science - Summer 2027
Core
Researching cross-disciplinary vision science at the intersection of humans and machines to advance AI innovation.
Role type
PhD Research Intern
Builds
Research findings grounded in real-world problems, potentially leading to conference, journal, or in-house publications.
Domain
AI, Computer Vision, Human Performance, Neuroscience
Deliverable
research
Required skills
Computer vision, Human vision science, Robotic vision, Python, Rust, C++, AI model training and evaluation frameworks (PyTorch)
Preferred skills
Quantitative modeling of human perception/cognition/movement/decision-making, Modern software development (Git), Multi-node/multi-GPU training workflows, Large-scale multi-modal foundation models (LLMs, VLMs), Public technical portfolio
Technologies
PyTorch, Python, Rust, C++, Git
Responsibilities
Decompose research questions into manageable parts, Identify unseen gaps and bridge them with high-impact solutions, Connect research findings with product engineers, Lead knowledge dissemination efforts
Seniority
Intern
