Co-Op, Agentic Simulations for Materials Science
Lila Sciences · Cambridge, MA USA; San Francisco, CA USA · Alewife, Cambridge, MA · San Francisco, CA
Bio & Science AIonsiteintern
At a glance
Highlights
- Build AI agents that autonomously design, launch and interpret physics simulations.
- Accelerate atomistic simulations with ML surrogate models for materials discovery.
- Connect physics simulations and generative models for in silico discovery.
Ideal candidate
MS or PhD researcher in physical sciences or CS who loves autonomous discovery and thrives in fast-paced, entrepreneurial teams.
Requirements
- Currently enrolled in MS or PhD in CS, Materials Science, Chemistry, Chemical Engineering, Physics or related field
- Proficiency in Python, deep learning frameworks and end-to-end workflow deployment
- Evidence of applied ML research in physical sciences including method development and model evaluation
- Strong communication and presentation skills with clear technical thoroughness
- Eager to work in fast-paced, entrepreneurial technical teams
Lab profile
About Lila Sciences
Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.
What they build
- Autonomous Science Platform
- AI-designed biologics validated in wet-lab
- Electro-optic materials and photonic devices
Known for
- Large-scale automated data generation
- High-throughput protein purification and analytics
- Protein design and BioML modeling
- Robotic orchestration and lab simulation
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