Huntsman is seeking to accelerate materials discovery by integrating quantum chemistry, molecular dynamics, machine learning, and enterprise data systems to support innovation in polymers, catalysts, composites, and other materials
Requirements
- Proficiency with molecular modeling software such as Materials Studio or similar
- Experience with Python, MATLAB, SQL, or other scripting languages
- Strong foundation in quantum chemistry, thermodynamics, and statistical mechanics
- Familiarity with materials informatics and machine learning methods
- Experience with high-performance computing or cloud simulation platforms
- Knowledge of electronic structure calculations and surface/interface modeling
- Knowledge of web development frameworks and advanced machine learning workflows
Responsibilities
- Compile and analyze experimental data from archived projects using ELN software and scripting tools
- Build, maintain, and optimize end-to-end data pipelines feeding the enterprise Generative AI Platform
- Develop and test LLM-based architectures and agentic systems for structured and unstructured data
- Translate domain-specific chemistry and material science problems into computational solutions
- Automate processes between ELN and LIMS systems
- Develop and apply computational models to predict properties and performance of materials
- Conduct simulations using DFT, molecular dynamics, and mesoscale modeling
Other
- Master’s or Ph.D. in Computational Chemistry, Materials Science, or a related field
- 2+ years of experience in computational modeling of materials (industry or postdoctoral)
- Excellent communication and collaboration abilities
- Ability to manage multiple projects in a fast-paced environment
- Must adhere to Huntsman’s safety, environmental, and regulatory standards
