Argonne National Laboratory
1 week ago
Postdoctoral Appointee in AI-Driven Computational Catalysis Argonne National Laboratory in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
Argonne National Laboratory

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About this position
Argonne National Laboratory is recruiting a Postdoctoral Appointee in AI-driven computational catalysis within the Chemical Sciences and Engineering Division.
This position sits at the intersection of computational catalysis, quantum chemistry, electronic structure theory, and artificial intelligence. The successful candidate will use first-principles and quantum mechanical calculations to study catalytic active sites and reaction pathways in heterogeneous catalytic systems, while also developing next-generation AI/ML methods, including agentic and physics-aware AI, to accelerate discovery and improve mechanistic understanding.
The role is highly interdisciplinary and includes close collaboration with experimental researchers. It is well suited to candidates interested in catalysis, chemistry, physics, chemical engineering, and materials science, especially those with strong programming and modeling skills.
Eligibility highlights: recent or soon-to-be-completed PhD (within 0-5 years) in chemistry, physics, chemical engineering, or a closely related field; strong quantum mechanics background; experience with periodic simulation codes such as VASP; proficiency in Python; and strong communication skills.
Funding: full-time postdoctoral appointment with an expected salary range of $72,879-$121,465 plus comprehensive benefits.
Location: Lemont, Illinois, United States.
How to apply: submit an application through the Argonne careers portal using the provided Workday link. No deadline was stated in the post.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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