Co-Op, Electron Microscopy
Lila Sciences · Cambridge, MA USA · Alewife, Cambridge, MA
Bio & Science AIonsiteintern
At a glance
Highlights
- Support advanced characterization workflows for powders and thin films.
- Turn physical experiments into high-quality data for AI-guided discovery.
- Help build autonomous science platform tackling medicine and materials.
Ideal candidate
PhD student in materials or physics who loves hands-on instrument work and microstructural discovery. Detail-oriented and curious about how high-quality lab data powers AI-guided research.
Requirements
- Currently enrolled in PhD in Materials Science, Physics or related field
- Strong background in SEM-based microstructural analysis
- Hands-on expertise with EDS, EBSD and FIB
- Experience characterizing powdered materials and thin films
- Ability to operate and troubleshoot advanced SEM systems
- Strong organizational skills and attention to detail
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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