Autonomous Discovery Scientist: AI for Materials&Chemistry

Argonne National Laboratory; United States; On-site; USD 116,250 - 181,350; Full time

Job summary

Argonne National Laboratory's Physical Sciences and Engineering Directorate seeks an outstanding Scientist to lead frontier research at the intersection of AI, autonomous platforms, data infrastructure, and materials science and/or chemistry.

The candidate will form an independently funded program within 2–3 years and apply data-driven methods to accelerate discovery in design, characterization, and synthesis.

Qualifications

• Ph.D. in Materials Science, Physics, Chemistry, Computer Science, or related field.
• Proven track record in materials science or chemistry using autonomous platforms and AI/ML.
• Strong ability to articulate scientific problems relevant to DOE portfolio.
• Excellent communication and collaboration skills across multidisciplinary teams.

Responsibilities

• Develop and lead an independent research program in materials science or chemistry using AI and autonomous labs.
• Leverage Argonne facilities and build novel platforms as needed.
• Publish in refereed journals and present at conferences, symposia, and seminars.
• Mentor postdocs, research staff, students, and other researchers.
• Ensure compliance with ES&H, safeguards, security, and work rules.

Job description

Argonne National Laboratory's Physical Sciences and Engineering Directorate seeks an outstanding Scientist to lead frontier research at the intersection of AI, autonomous platforms, data infrastructure, and materials science and/or chemistry.

The candidate will form an independently funded program within 2–3 years and apply data-driven methods to accelerate discovery in design, characterization, and synthesis.