Research Scientist I/II, Computational Organic Electronics
Core
Apply computational methods and AI to accelerate the discovery and design of organic electronics materials, investigating structure-property relationships in photovoltaics, semiconductors, and optoelectronics.
Role type
Research Scientist I/II, Computational Organic Electronics
Builds
Predictive models for materials selection, discovery workflows, and actionable hypotheses for organic electronic devices.
Domain
Materials Science / Computational Chemistry / Organic Electronics
Deliverable
production ML models
Required skills
First-principles modeling, atomistic simulations, scientific machine learning, Python programming, organic semiconductor knowledge, charge transport modeling, excited-state behavior analysis, morphology-property relationship analysis
Preferred skills
Agentic AI systems, autonomous scientific workflows, perovskite-organic interfaces, multiscale simulations, closed-loop optimization integration
Technologies
Python, first-principles methods, atomistic simulation tools, agentic AI frameworks
Responsibilities
Model charge transport and excited-state behavior, connect simulation outputs to experimental observations, develop workflows closing the loop between computation and experiment, analyze data to generate materials hypotheses, partner with ML and experimental teams, communicate physical insights and model limitations
Seniority
Mid-level Research Scientist, hands-on IC