PhD Research Intern, Quantum and AI for Chemistry - 2027
Core
Developing AI-driven quantum algorithms, generative models for chemistry, self-driving lab robotics, and agentic AI systems.
Role type
PhD Research Intern (Quantum and AI for Chemistry)
Builds
Novel approaches integrating NVIDIA multi-GPU architectures with near-term quantum computers and AI models for chemistry.
Domain
Quantum Information Science, Computational Chemistry, Artificial Intelligence
Deliverable
production ML models
Required skills
Quantum Information Science, AI for chemistry, quantum chemistry, quantum machine learning, applied quantum algorithms, robotics for self-driving labs, generative models for chemistry, computational agentic frameworks
Preferred skills
GPU computing, software systems development, Machine Learning methods, scaling large-scale AI models, scientific computing, high-performance computing, deep learning
Responsibilities
Advance state-of-the-art in AI-driven quantum algorithms, generative models, self-driving labs, or agentic AI; Present at scientific, technical, and industry conferences.
