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
PostdoctoralJob Profile
Postdoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
Full timeThe 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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Skills Required
- Recent or soon-to-be-completed PhD (within the last 0-5 years) in chemistry, physics, chemical engineering, or a closely related field
- 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
What We Do
Argonne National Laboratory, one of the U.S. Department of Energy's national laboratories for science and engineering research, employs 3,400 employees, including 1,400 scientists and engineers, three-quarters of whom hold doctoral degrees.
