PSE Autonomous Discovery Scientist

The Physical Sciences and Engineering Directorate seeks an outstanding Scientist to lead and support frontier research at the intersection of AI, autonomous platforms, data infrastructure, and materials science and/or chemistry. The candidate will have established expertise in materials or chemistry using autonomous platforms and AI to accelerate their research, with the expectation of forming an independently-funded research program within 2-3 years.

The successful candidate will develop and apply advanced data-driven methodologies to accelerate discovery in materials/chemistry design, characterization, and synthesis.

• Autonomous laboratories for materials synthesis and characterization
• AI/ML for predictive modeling and inverse design
• Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and accelerate discovery
• Integration of HPC, data infrastructure, and ML pipelines for data-driven and autonomous research
• Digital twins and simulation-augmented AI tools

• Develop and lead an independent and collaborative research program in materials science or chemistry using AI and autonomous labs aligned with Argonne’s and the DOE’s missions.
• Leverage existing facilities in autonomous labs, with the freedom to build other novel platforms.
• Publish in refereed journals and present at conferences, symposia, and seminars.
• Provide work direction and mentorship to postdoctoral appointees, research assistants, students, and technical staff.
• Execute all activities in compliance with Argonne’s ES&H policies, Safeguards and Security policies, work rules, and safe practices.

• Ph.D. in Materials Science, Physics, Chemistry, Computer Science, or a related field.
• Proven research track record in materials science or chemistry using autonomous platforms and AI/ML.
• 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.

• 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.

• The expected hiring range for this position is $116,250 - $181,350 annually.
• The expected hiring range for this position (alternative pay scale) is $138,000 - $215,280 annually.
• The expected hiring range for this position (base range) is $ - $.
• Pay will be determined based on scope, responsibilities, qualifications, business considerations, internal equity, and external market pay.
• Comprehensive benefits are part of the total rewards package.

Job Family:
Research Development (RD)
Job Profile:
Materials/Ceramics/Metallurgical 3
Worker Type:
Regular Time – Full time

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.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis.

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