Autonomous Infrastructure and Robotic Science Lead

• Guide the development of infrastructure for laboratory autonomy including physical autonomous laboratories, robotics laboratories, and software frameworks for autonomous science and robotics.
• Facilitate collaborations between the Rapid Prototyping Lab (RPL) and domain scientists across Argonne and partner institutions to execute successful autonomous science demonstrations.
• Provide work direction and mentorship to postdoctoral appointees, research assistants, students, and technical staff.
• Publish in refereed journals and present at conferences, symposia, and seminars.

This role accelerates scientific discovery by developing autonomous laboratories and AI-driven experimentation, enabling breakthroughs in clean energy, advanced materials, and medical applications, thereby addressing critical societal challenges.

• Completed Ph.D. in Computer Science, Materials Science, Physics, Chemistry, or a related field, and a minimum of 4+ years of related experience.
• Proven research track record in deploying automated and autonomous platforms and AI/ML towards accelerating science.
• Demonstrated ability to formulate scientific problems relevant to the DOE portfolio.
• Strong oral and written communication skills, with the ability to work effectively with internal and external collaborators.

The expected hiring range for this position is $116,250.00 - $181,350.00 per year. Comprehensive benefits are part of the total rewards package. Argonne is committed to a safe and welcoming workplace.

Argonne National Laboratory is a U.S. Department of Energy multidisciplinary science and engineering research center that tackles the largest scientific and engineering challenges, from clean energy and advanced materials to artificial intelligence and quantum information science.