Key Responsibilities:

Evaluate the performance of assigned staff; recommends professional development, salary actions, and promotions Play a key role in the recruitment and selection of high-quality staff Report on research progress and new initiatives to division management, review committees, and funding agencies Provide supervisory oversight including developing, motivating, and leading a team of professionals 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 RPL and teams at partner institutions developing autonomous science and robotics infrastructure Guide the RPL team towards the advancement of laboratory autonomy and robotics Publish in refereed journals and present at conferences, symposia, and seminars Provide work direction, supervisory oversight, and mentorship, including development and motivation, to postdoctoral appointees, research assistants, students, and professional technical staff Execute all activities in compliance with Argonne's ES&H policies, Safeguards and Security policies, work rules, and safe practices About Argonne and the

Rapid Prototyping Lab:

Argonne National Laboratory is a U.S. Department of Energy multidisciplinary science and engineering research center, operated by UChicago Argonne, LLC. Argonne tackles the largest scientific and engineering challenges of our time, from clean energy and advanced materials to artificial intelligence and quantum information science. The Rapid Prototyping Lab (RPL), in the Data Science and Learning division, develops integrated hardware and software solutions to accelerate scientific discovery through robotics and AI. RPL serves as a software and robotics hub where scientists collaborate, train the next-generation autonomous-discovery workforce, and develop open-source infrastructure for self-driving labs. RPL projects span new materials for energy storage, discovery of antimicrobial compounds, isotope production for medical applications, and more. MADSci is RPL's flagship open-source software ecosystem and a core enabling technology for Argonne's broader Autonomous Discovery initiative, which aims to transform laboratory science by combining robotics, AI, and simulation to design, execute, and learn from experiments at unprecedented scale.

For more information:

Rapid Prototyping Lab:

https://rpl.cels.anl.gov/ Autonomous Discovery at

Argonne:

https://www.anl.gov/autonomous-discovery MADSci on

GitHub:

https://github.com/AD-SDL/MADSci AD-SDL organization on

GitHub:

https://github.com/AD-SDL Position Requirements Minimum of a Ph.D. in Computer Science, Materials Science, Physics, Chemistry, or a related field and 4+ years of experience, or equivalent 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 to achieve established goals Demonstrated ability to collaborate in a multidisciplinary environment and provide scientific guidance to a diverse research community Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork Preferred experience leading and/or managing others from students to professional staff Submit the following materials as attachments to your application: Cover letter detailing how your experience and expertise align with and will contribute to this position Curriculum vitae with publication list and contact information for three professional references 1-page research statement outlining proposed research directions Job Family Research Development (RD) Job Profile Computational Science Leader 1 Worker Type Regular Time Type Full time The expected hiring range for this position is $148,125.00 - $231,075.00. 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