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Postdoctoral Appointee in Materials Informatics and Autonomous Synthesis Argonne National Laboratory in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral full-time, long-term fixed-term position with an expected hiring range of USD 72,879.00-$121,465.00 plus comprehensive benefits.
Country
United States
University
Argonne National Laboratory
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About this position
Argonne National Laboratory is advertising a Postdoctoral Appointee in Materials Informatics and Autonomous Synthesis at the Center for Nanoscale Materials (CNM) in Lemont, Illinois, USA. The role sits at the intersection of materials science, chemistry, chemical engineering, polymer science, computer science, and data-driven experimentation, with a strong emphasis on AI/ML for autonomous materials discovery.
The selected postdoc will develop machine learning-ready data resources and build surrogate/predictive models that connect composition, molecular structure, synthesis and processing conditions, morphology, and device-relevant properties. The project includes active learning, Bayesian optimization, uncertainty-aware modeling, and closed-loop experimental design for autonomous platforms such as the Polybot. The broader goal is to accelerate experimentation, enable self-driving laboratories, and create reusable datasets and reproducible workflows that support long-term scientific impact.
Research applications may include organic electrochemical and neuromorphic devices, as well as related functional materials. Preferred experience includes autonomous or robotic laboratories, cheminformatics or polymer informatics, RDKit, multimodal data fusion, interpretable machine learning, NLP/text mining, workflow automation, and database development.
Eligibility highlights: a recent or soon-to-be-completed PhD (within the last 0-5 years) in chemistry, chemical engineering, materials science, polymer science, physics, computer science, and/or data science; strong Python and scientific computing skills; and evidence of independent research productivity. Applicants should also be comfortable collaborating closely with experimental researchers in a laboratory-centered environment.
The position is full time and long term (fixed term). The expected hiring range is USD 72,879 to 121,465, and Argonne notes that comprehensive benefits are part of the total rewards package. Required application materials include an updated CV/resume, unofficial PhD transcripts, and, if already awarded, a copy of the PhD diploma.
Applications should be submitted via the Argonne Careers Workday posting. No deadline is listed in the announcement.
Funding details
Postdoctoral full-time, long-term fixed-term position with an expected hiring range of USD 72,879.00-$121,465.00 plus comprehensive benefits.
What's required
Recent or soon-to-be-completed PhD within the last 0-5 years in chemistry, chemical engineering, materials science, polymer science, physics, computer science, and/or data science. Applicants should have demonstrated accomplishments in materials informatics, scientific machine learning, or AI-guided experimental design; strong Python and scientific computing skills (e.g., NumPy, pandas, scikit-learn, PyTorch, TensorFlow); experience with surrogate or predictive models and adaptive learning workflows; strong interest in working closely with experimental researchers; evidence of independent research productivity; excellent communication and interdisciplinary teamwork skills.
How to apply
Prepare an updated CV/resume, unofficial PhD transcripts, and a copy of the PhD diploma if already awarded. Apply through the Argonne Careers posting on Workday using the application link provided in the job ad.
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Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.