Lila Sciences
AI
ResearchScientistI/II,Multiscale&MultiphysicsSimulations
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Research Scientist I/II, Multiscale & Multiphysics Simulations at Lila Sciences. Skills: multiphysics simulations, multiscale simulations, AI-driven scientific discovery, programmatic systems, agent-driven systems. building next-generation in silico multiphysics and multiscale simulation capabilities. develop high-fidelity digital representations of complex physical systems”
What You'll Achieve.
power AI-driven scientific discovery; enable real-time digital twins; enable autonomous closed-loop workflows; enable automated experiment–simulation feedback cycles and accelerated R
Industry & Context.
solve humankind's greatest challenges
What They're Looking For.
Must Have
multiphysics and multiscale simulation capabilities, high-fidelity digital representations of complex physical systems spanning chemical and mechanical processes, transport phenomena, and electromagnetic behavior, integrate them into autonomous discovery and experimental pipelines, integrating simulation methods—such as finite element modeling, computational fluid dynamics, phase-field methods, and TCAD-style transport/process modeling—into scalable, programmatic, and agent-driven systems, real-time digital twins, simulation-informed decision-making, autonomous closed-loop workflows, develop and deploy robust multiphysics models across coupled domains (e. g. , thermal, fluid, structural, electromagnetic, chemical), using methods such as coarse-grained, mesoscale, FEM, and CFD techniques, build integrated multiscale frameworks that connect atomistic, mesoscale, and continuum representations to model materials and devices, design and implement programmatic, agent-driven simulation workflows that can autonomously configure, execute, and refine simulations within closed-loop discovery workflows, create scalable, GPU-accelerated simulation pipelines, data infrastructure, and interoperable APIs that connect commercial tools (e. g. , COMSOL, ANSYS) and custom solvers deploying on cloud-based, high-throughput computing environments, collaborate with AI, software, and automation teams to orchestrate and deploy closed-loop discovery workflows, integrating computational predictions with robotic and cloud-based laboratory platforms to enable automated experiment–simulation feedback cycles and accelerated R
What You'll Do.
building next-generation in silico multiphysics and multiscale simulation capabilities
develop high-fidelity digital representations of complex physical systems
integrate them into autonomous discovery and experimental pipelines
work on integrating simulation methods
develop and deploy robust multiphysics models
build integrated multiscale frameworks
design and implement programmatic
agent-driven simulation workflows
GPU-accelerated simulation pipelines
and interoperable APIs
and automation teams to orchestrate and deploy closed-loop discovery workflows
How You'll Work.
Team & Collaboration
Collaborate with AI, software, and automation teams
Full Job Description
Your Impact at LILA Your role will focus on building next-generation in silico multiphysics and multiscale simulation capabilities that power AI-driven scientific discovery. You will develop high-fidelity digital representations of complex physical systems spanning chemical and mechanical processes, transport phenomena, and electromagnetic behavior and integrate them into autonomous discovery and experimental pipelines. You will work on integrating simulation methods—such as finite element modeling, computational fluid dynamics, phase-field methods, and TCAD-style transport/process modeling—into scalable, programmatic, and agent-driven systems that enable real-time digital twins, simulation-informed decision-making, and autonomous closed-loop workflows What You'll Be Building Develop and deploy robust multiphysics models across coupled domains (e.g., thermal, fluid, structural, electromagnetic, chemical), using methods such as coarse-grained, mesoscale, FEM, and CFD techniques. Build integrated multiscale frameworks that connect atomistic, mesoscale, and continuum representations to model materials and devices. Design and implement programmatic, agent-driven simulation workflows that can autonomously configure, execute, and refine simulations within closed-loop discovery workflows. Create scalable, GPU-accelerated simulation pipelines, data infrastructure, and interoperable APIs that connect commercial tools (e.g., COMSOL, ANSYS) and custom solvers deploying on cloud-based, high-throughput computing environments Collaborate with AI, software, and automation teams to orchestrate and deploy closed-loop discovery workflows, integrating computational predictions with robotic and cloud-based laboratory platforms to enable automated experiment–simulation feedback cycles and accelerated R employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bi
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