Research Scientist

Responsibilities

• Develop and deploy robust multiphysics models across coupled domains including thermal, fluid, structural, electromagnetic, and chemical processes
• Build integrated multiscale frameworks connecting atomistic, mesoscale, and continuum representations
• Design and implement programmatic, agent-driven simulation workflows for autonomous closed-loop discovery
• Create scalable, GPU-accelerated simulation pipelines and data infrastructure
• Collaborate with AI and software teams to integrate computational predictions with robotic and cloud-based laboratory platforms

Requirements

• PhD in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Materials Science, or a related field
• Extensive experience with multiphysics simulation methods such as FEM, CFD, or TCAD
• Strong foundation in heat transfer, fluid dynamics, structural mechanics, and reaction kinetics
• Experience applying simulation to industrial settings like semiconductors or materials manufacturing
• Solid programming skills in Python

Preferred Qualifications

• Experience bridging atomistic simulations with coarse-grained or continuum models
• Familiarity with machine learning applied to physical simulations (e.g., PINNs, surrogate models)
• Experience with GPU acceleration and programmatic optimization
• Background in thin-film deposition, micro/nano-fabrication, or reactive transport

About the Company

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously.