Ai Residency Program, Material Science (2026 Cohort)

Lilasciences

Cambridge, United States
**
Ai for materials science
Ml-accelerated simulations
Representation learning
** Lila Sciences is seeking candidates for its AI Residency Program focused on materials science, aimed at bridging academic research with industry applications. This full-time research opportunity offers mentorship and access to high-performance resources for a cohort of residents who will tackle open-ended scientific challenges. **

Job Summary

  • Residents will work closely with Lila scientists and engineers on high-impact, open-science projects, with the option to focus on either fundamental or applied research.
  • Access to proprietary datasets, high-performance compute, and Lila’s research infrastructure will be provided.
  • The program is designed to bridge the gap between academic research and industry applications in AI for materials science.

Matching Summary

Match Score: 75

** Lila Sciences is seeking candidates for its AI Residency Program focused on materials science, aimed at bridging academic research with industry applications. This full-time research opportunity offers mentorship and access to high-performance resources for a cohort of residents who will tackle open-ended scientific challenges. **

Skills & Requirements

Must-have

  • AI for materials science
  • ML-accelerated simulations
  • Representation learning
  • Generative models
  • Agentic science
  • ML-driven automation
  • Python programming
  • Deep learning frameworks (PyTorch)

Nice-to-have

  • Bayesian methods
  • Prior ML applications in science
  • Bayesian optimization
  • Active learning
  • Reinforcement learning
  • Agent-based approaches
  • Open-source contributions

Key Requirements

  • Degree in Materials Science, Chemistry, Computer Science, AI/ML, Physics, Mathematics, or related field
  • Experience with large-scale datasets or simulations
  • Familiarity with modern AI/ML architectures
  • Strong research background
  • Research proposal (up to 3 pages)

Work Rights

Not specified

Tailored Resume

Cover Letter