Postdoctoral Appointee – AI-Driven Computational Catalysis

UChicago Argonne, LLC

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Lemont, IL US On-site Until 10/7/2026 0+ years exp First posted August 8, 2026 Last posted August 8, 2026
Job description

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.

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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.  

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About this role

Summary

Conduct computational catalysis research using quantum mechanics and AI models.

Job title

Postdoctoral Appointee – AI-Driven Computational Catalysis

Experience level

0-5 years

Minimum experience

0+ years exp

Industry

research

Location requirements

On-site in Lemont, IL; no remote work allowed.

Salary

$73k–$121k

Management role

No

Skills & keywords

Required skills

quantum mechanicselectronic structure theoryAI/ML developmentPythonVASP

Preferred skills

None specified

Specializations

computational catalysisquantum chemistryartificial intelligencemachine learningmaterials science
Locations

Structured locations inferred from the posting.

Lemont, IL, USA

On-site City