Postdoctoral Researcher in AI-Enabled Autonomous Materials Discovery

Argonne National Laboratory • Lemont, IL

1d • $72,879 - $121,465 • Onsite

About The Position

The Nanoscience and Technology Division and the Center for Nanoscale Materials (CNM) at Argonne National Laboratory invite applications for a Postdoctoral Researcher or Argonne Associate position. We seek a highly motivated candidate to contribute to an interdisciplinary research effort at the intersection of materials science, laboratory automation, and artificial intelligence. This position will support the development of an AI-enabled autonomous experimentation (AI/AE) platform aimed at accelerating materials discovery. Research areas of interest include, but are not limited to, organic crystal growth and structure–property relationship discovery. The successful candidate will join a highly collaborative research environment that integrates robotic experimentation, advanced characterization, and machine learning. The role offers the opportunity to leverage Argonne’s world-class scientific capabilities and engage with a strong network of internal and industry collaborators.

Requirements

• Recent or soon-to-be-completed PhD (within the last 0-5 years) in chemical engineering, materials science, chemistry, or a closely related field
• Expertise in crystallization science, including solubility behavior, nucleation kinetics, and polymorph screening
• Experience with characterization techniques such as UV/Vis spectroscopy and X-ray diffraction (XRD)
• Experience working with automated or high-throughput laboratory systems
• Proficiency in Python or similar programming languages for data processing, statistical analysis, and integration with AI/ML tools
• Excellent written and verbal communication skills
• Demonstrated ability to work effectively in a collaborative, interdisciplinary research environment
• Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork

Responsibilities

• Contribute to an interdisciplinary research effort at the intersection of materials science, laboratory automation, and artificial intelligence.
• Support the development of an AI-enabled autonomous experimentation (AI/AE) platform aimed at accelerating materials discovery.
• Conduct research in areas such as organic crystal growth and structure–property relationship discovery.
• Integrate robotic experimentation, advanced characterization, and machine learning.
• Leverage Argonne’s world-class scientific capabilities.
• Engage with a strong network of internal and industry collaborators.

Benefits

• Comprehensive benefits are part of the total rewards package.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree