Postdoc: AI-Driven Reactor Modeling for Energetic Materials

ORAU; Aberdeen (MD); In loco; USD 65.000 - 90.000; Tempo pieno

Descrizione del lavoro

Army Research Laboratory seeks a postdoctoral researcher to design and build reactor and chemical kinetics models, and explore AI/ML methods for energetic materials under ARL-RAP. The role includes collaboration with universities and travel to meetings, with an initial one‑year appointment and potential renewal.

The fellow will develop both traditional process models and machine‑learned approaches, publish in open literature, and contribute to nonpublic technical reports.

Competenze

• Requires U.S. citizenship and ability to pass a background check.
• Ph.D. in chemical engineering, chemistry, materials engineering, mechanical engineering, materials science, computer science, or AI engineering.

Mansioni

• Design and build reactor models and chemical kinetics models.
• Develop AI/ML methods for energetic materials research.
• Collaborate with ARL and academic partners and present results.
• Contribute to publications and technical reports.

Conoscenze

Python programming

rdkit

Chemical reactor modeling

Chemical kinetics

AI/ML in Python

Git/version control

Linux shells

AI coding agents

Organic chemistry

Thermodynamics

Transport phenomena

HPC (PBS/Slurm)

Databases / Parquet/Arrow

Multiphysics/Process modeling

Cantera / ASPEN / COMSOL

Formazione

Ph.D. in chemical engineering or related fields

Strumenti

Cantera

COMSOL Multiphysics

ASPEN

Descrizione del lavoro

Army Research Laboratory seeks a postdoctoral researcher to design and build reactor and chemical kinetics models, and explore AI/ML methods for energetic materials under ARL-RAP. The role includes collaboration with universities and travel to meetings, with an initial one‑year appointment and potential renewal.

The fellow will develop both traditional process models and machine‑learned approaches, publish in open literature, and contribute to nonpublic technical reports.