Argonne National Laboratory · 1 month ago
Postdoctoral Appointee - Experimental AI
Lemont, IL USA
Full-time
Onsite
New Grad, Entry Level
$73K/yr - $121K/yrArgonne National Laboratory is dedicated to scientific discovery and innovation, and they are seeking a Postdoctoral Appointee to contribute to research projects focused on experimental applications of AI in electrochemistry. The role involves both computational and experimental work, requiring a strong background in electrochemistry and materials science, as well as collaboration with interdisciplinary teams.
EnergySecuritySocial Impact
Responsibilities
Developing and implementing experimental focused application of AI and automation tools for unraveling fundamental interfacial processes in materials for electrochemistry
Involve some experimental work in adapting workflows for automation and artificial intelligence optimization schemes
Developing AI models to uncover structure-function relationships with limited data sets
Building automated electrode-electrolyte interface discovery workflows
Implementing full autonomous experimental campaigns
Involve a considerable amount of computational as well as experimental laboratory work with a variety of electrochemical based methods
Coupled to analytical techniques for characterizing electrolytes using UV-VIs absorption spectroscopy, ICP-MS, LC-MS, GC-MS, and ICP-MS
Learning experimental workflows and adapting them for autonomous control
Qualification
Required
Ph.D. completed in the past 5 years or soon-to-be completed in chemistry, chemical engineering, materials science, or a closely related field
Strong background in fundamental electrochemistry
Well versed in code development
Application of AI model classifiers (PLS-DA, random forest, neural network, etc) towards unraveling materials structure-function relationships
Familiar with optimization approaches such as genetic search, Bayesian optimization
Ability to think and work independently
Conduct research in a highly interdisciplinary environment of chemists, physicists, and materials scientists
Good communication skills and fluent in both spoken and written English
Demonstrate evidence of initiative and problem-solving in research projects
Preferred
Hands-on expertise in computational materials science
Familiarity with electrochemical instrumentation suite (potentiostat, cyclers, electronic load) and materials characterization
Benefits
Comprehensive benefits are part of the total rewards package
Company
Argonne National Laboratory
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.
Founded in 1946
1001-5000 employees
H1B Sponsorship
Argonne National Laboratory has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (6)
2021 (2)
Funding
Current Stage
Late StageTotal Funding
$41.4MKey Investors
Advanced Research Projects Agency for HealthUS Department of EnergyU.S. Department of Homeland Security
2024-11-14Grant· $21.7M
2023-09-27Grant
2023-01-17Grant
Leadership Team
Paul Kearns
Laboratory Director
Venkat Srinivasan
Director, Argonne Center for Collaborative Energy Storage Science (ACCESS)
Recent News
2026-01-25
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2026-01-17
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