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DEVCOM Army Research Laboratory

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Postdoctoral Research Opportunity in Artificial (Super) Intelligence, Chemistry, and Chemical Engineering DEVCOM Army Research Laboratory in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral fellowship with an initial one-year appointment, expectation for renewal to year two, and year three dependent on performance and available funding.

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Country

United States

University

DEVCOM Army Research Laboratory

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Keywords

Computer Science
Chemistry
Chemical Engineering
Materials Science
Organic Chemistry
Artificial Intelligence
Computational Chemistry
Transport Phenomena
Chemical Kinetics
Multiphysics Simulation
Optimisation
Energetic Materials
Thermodynamics
ML

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About this position

This postdoctoral research opportunity at the DEVCOM Army Research Laboratory focuses on the intersection of artificial intelligence, chemistry, and chemical engineering for energetic materials research. The project centers on designing and building reactor models, chemical kinetics models, and process models for highly exothermic chemistry under operational reactor conditions.

The researcher will develop both traditional chemical engineering models and Bayesian or machine-learned models for reactor behavior and process optimization. In parallel, the fellowship provides room to pursue new AI/ML ideas for energetic materials research, with collaboration opportunities across multiple institutions, including major R1 universities.

The position is embedded in the Multiscale Reactive Modeling Team within the Detonation Science and Modeling Branch of the Army Research Laboratory’s Weapon Sciences area. Research products include open academic publications and nonpublic technical reports, and the researcher may travel to present at both academic and nonpublic meetings.

The appointment is full-time and offered as an initial one-year fellowship with the possibility of renewal.

Funding details

Full-time postdoctoral fellowship with an initial one-year appointment, expectation for renewal to year two, and year three dependent on performance and available funding.

What's required

A Ph.D. in chemical engineering, chemistry, materials engineering, mechanical engineering, materials science, computer science, or artificial intelligence engineering is required, though applicants with equivalent skills in a different degree may apply. The fellowship requires U.S. citizenship and the ability to pass a background check. Desired experience includes Python programming with rdkit and the scientific Python stack, chemical reactor modeling, chemical kinetics, AI/ML model development in Python, version control with git, Linux or macOS shells, organic chemistry, thermodynamics, transport phenomena, HPC queueing systems such as PBS or Slurm, relational databases or Parquet/Arrow, and multiphysics or process modeling tools such as COMSOL Multiphysics, Cantera, or ASPEN.

How to apply

Submit the application in Zintellect. Include a CV or resume, relevant coursework and lab experience, papers or presentations/publications, three references, transcripts, and a research proposal related to a specific ARL opportunity. After applying, use the reference-form email in Zintellect to send the form link to your referees.

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