Postdoctoral Researcher in AI-Enabled Autonomous Materials Discovery

Argonne National Laboratory•Lemont, IL

1d•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.