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Postdoctoral Appointee – AI-Driven Computational Catalysis

Argonne National Laboratory · Lemont, IL1mo agoverified 20 h ago
$73k – $121k

PhD-level Academic / Postdoc roles on Crosslinked list a median of $97k (60 that show pay).

Perform quantum chemistry and AI/ML modeling of heterogeneous catalytic active sites and reaction mechanisms

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Worth knowing

Why it is interesting. Rare blend of first-principles quantum chemistry and agentic/physics-aware AI, tightly coupled to experimental catalysis teams at a national lab.

Might not be for you. Fully computational — no bench or materials synthesis work; catalysis, not polymers.

Computational or deskDeep specialist PhD-friendlyPostdoc bridge Publishes regularly

The materials anglequantum mechanical calculations to investigate catalytic active sites and reaction mechanisms in heterogeneous catalytic systems

H-1B filings

Argonne National Laboratory filed 67 H-1B labor applications for scientist and engineer roles from Jan to Dec 2025.

Most common titles: Postdoctoral Appointee, Materials Scientist, Computational Scientist. Median filed pay: $77K a year.

From U.S. Department of Labor disclosure data. A filing is a record of past hiring, not a promise about this role, so confirm sponsorship with the employer. Titles and filed pay ·Every employer's filings

Seniority
Postdoc
Work
On-site
Type
Postdoc
Degree
PhD
Experience
0–5 yrs
Industry
Energy
Role
Academic / Postdoc
Techniques
quantum mechanical calculationselectronic structure theoryperiodic DFT (VASP)
Benefits
equity/stock

Role details

The Chemical Sciences and Engineering Division invites applications for a Postdoctoral Appointee to contribute to innovative research at the intersection of computational catalysis, quantum chemistry, and artificial intelligence. This position offers an exciting opportunity to advance fundamental understanding of heterogeneous catalysis through both first-principles simulations and the development of next-generation AI approaches. The successful candidate will perform quantum mechanical calculations to investigate catalytic active sites and reaction mechanisms in heterogeneous catalytic systems.

In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close collaboration with experimental researchers, providing a highly integrated and interdisciplinary research environment.

Key Responsibilities

Conduct computational studies of catalytic active sites and reaction pathways using quantum mechanical methods Develop advanced AI/ML models, including agentic and physics-aware approaches, for applications in catalysis Collaborate closely with experimental teams to connect computational predictions with experimental observations Communicate research results effectively through publications, presentations, and team interactions Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in chemistry, physics, chemical engineering, or a closely related field A strong foundation in quantum mechanics and electronic structure theory Demonstrated expertise in developing advanced AI/ML models for applications in physics, chemistry, or materials science Experience with periodic simulation codes such as VASP Proficiency in Python programming Excellent written and oral communication skills Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time The expected hiring range for this position is $72,879.00-$121,465.00.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis.

Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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Common questions

What is the salary for the Postdoctoral Appointee – AI-Driven Computational Catalysis role at Argonne National Laboratory?

The listed annual base salary range is $73K–$121K. This figure is taken from the posting itself.

Where is the Postdoctoral Appointee – AI-Driven Computational Catalysis role at Argonne National Laboratory based?

This role is based in Lemont, IL.

What degree is required for the Postdoctoral Appointee – AI-Driven Computational Catalysis role at Argonne National Laboratory?

This role requires a PhD.

How many years of experience does this Postdoctoral Appointee – AI-Driven Computational Catalysis role require?

The posting calls for 0–5 years of relevant experience.

What techniques or methods are required for this Postdoctoral Appointee – AI-Driven Computational Catalysis role?

quantum mechanical calculations, electronic structure theory, periodic DFT (VASP).