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Argonne National Laboratory

Assistant Computational Chemist – Chemical Engineer, Catalysis

Argonne National Laboratory

Assistant Computational Chemist leading computational research in electrocatalysis at Argonne National Laboratory. Conducting multiscale modeling, collaborating with experimental teams, and mentoring junior researchers.

Posted 4/25/2026full-timeLemont • Illinois • 🇺🇸 United StatesMid-LevelSenior💰 $94,486 - $147,398 per yearWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Lead and contribute to computational research in electrocatalysis and heterogeneous catalysis
  • Conduct multiscale modeling, spectroscopy simulations
  • Develop machine learning methods and automated workflows
  • Collaborate with experimental researchers to interpret results
  • Mentor postdoctoral researchers and graduate students

Requirements

What you’ll need
  • Ph.D. in physical chemistry, inorganic chemistry, computational materials science, chemical engineering, or a related field
  • 3–6 years of postdoctoral research experience
  • Comprehensive understanding of quantum mechanics and catalysis
  • Extensive experience in heterogeneous thermal catalysis and electrocatalysis, including: catalyst design, mechanistic studies, microkinetic modeling, reactor modeling
  • Strong computational expertise in applying quantum mechanical methods to determine electronic structure, catalytic properties, and reaction mechanisms
  • Demonstrated experience in spectroscopy simulations, including XANES, EXAFS, and Mössbauer spectroscopy
  • Proficiency in Python and relevant computational platforms
  • At least 1–2 years of experience adapting and implementing AI/ML methods in catalysis, including: machine learning interatomic potentials, agentic workflows
  • Experience in proposal writing and funding applications
  • Experience mentoring postdoctoral researchers and graduate students
  • Excellent written and oral communication skills.

Benefits

Comp & perks
  • Comprehensive benefits are part of the total rewards package.

ATS Keywords

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Hard Skills & Tools
computational researchmultiscale modelingspectroscopy simulationsmachine learning methodsautomated workflowsquantum mechanicsheterogeneous thermal catalysiscatalyst designmicrokinetic modelingPython
Soft Skills
mentoringcollaborationcommunication
Certifications
Ph.D. in physical chemistryPh.D. in inorganic chemistryPh.D. in computational materials sciencePh.D. in chemical engineering