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Postdoctoral Appointee – AI-Driven Computational Catalysis

Argonne National Laboratory

Lemont, ILFull-time$73–121K/yrTracked 2w agoSeen in employer's feed 1w ago

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At a glance

Compensation
$73–121K/yr
Location
Lemont, IL
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Doctorate

Job overview

Argonne National Laboratory is hiring a Postdoctoral Appointee – AI-Driven Computational Catalysis. The Chemical Sciences and Engineering Division at Argonne National Laboratory seeks a Postdoctoral Appointee to advance computational catalysis research, integrating quantum chemistry and AI to deepen mechanistic insight and support interdisciplinary collaboration with experimental teams.

Key focus areas include 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, and Collaborate closely with experimental teams to connect computational predictions with experimental observations.

Important skills include VASP, Python, AI ML Models, Agentic AI, Physics Aware AI, and Quantum Mechanical Methods.

Skills & qualifications

RequiredNice to have

Skills

VASPPythonAI ML ModelsAgentic AIPhysics Aware AIQuantum Mechanical MethodsElectronic Structure TheoryComputational CatalysisCommunicationOral CommunicationCollaboration

Qualifications

PhD in Chemistry Physics Chemical Engineering or Related FieldPhD Completed Within Last 5 YearsStrong Foundation in Quantum MechanicsDemonstrated Expertise in Developing Advanced AI ML ModelsExperience With Periodic Simulation Codes Such as VASP

Full 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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