Postdoctoral Researcher in AI-Enabled Autonomous Materials Discovery

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.

• 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

Please upload the following materials as attachments to your application in Workday:

• CV/Resume

• Unofficial Ph.D. transcripts

• If already awarded, a copy of the Ph.D. diploma

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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As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.