Assistant Scientist — Data Driven and Autonomous Materials Discovery (CNM)

Argonne National Laboratory-posted 3 months ago

$90,063 - $143,010/Yr

Full-time • Entry Level

Lemont, IL

1,001-5,000 employees

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The Theory and Modeling Group at the Center for Nanoscale Materials (CNM) seeks an outstanding Assistant Scientist to lead and support frontier research at the intersection of AI/ML, data infrastructure, autonomous systems, and materials science. You will develop and apply advanced data-driven methodologies to accelerate discovery in materials design, characterization, and synthesis. The role combines self-directed and collaborative research aligned with CNM strategic themes, alongside scientific support for CNM users. CNM is a DOE Office of Science user facility that provides researchers worldwide with world-class expertise and instrumentation for multidisciplinary nanoscience and nanotechnology.

Develop and lead an independent and collaborative research program in computational materials science aligned with CNM strategic themes and the DOE mission.
Publish in refereed journals and present at conferences, symposia, and seminars.
Contribute to proposal development and assist with execution and reporting for CNM, DOE, and other sponsors.
Establish and maintain a vibrant, productive collaboration program with CNM users.
Provide scientific and technical support for user computational projects to ensure successful execution and growth of user-led research.
Support end-users with HPC operations and maintenance issues, job optimization and scheduling, workflow understanding, and software installation.
Collaborate with internal and external researchers to drive innovation in nanoscience and nanotechnology.
Contribute to CNM’s strategic scientific directions through pioneering R&D.
Provide work direction and mentorship to postdoctoral appointees, research assistants, students, and technical staff.
Manage vendor relationships as needed (hardware, cloud, managed support services).
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, Chemical Engineering, Electrical Engineering, or a related field.
Proven research track record in computational materials science and AI/ML, with applications in areas such as quantum information science, energy capture/storage/conversion, or microelectronics.
Demonstrated ability to formulate scientific problems in the design and theory of nanoscale systems relevant to the DOE portfolio.
Considerable skill in data management and high-performance computing, including workflow design and optimization.
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.

Comprehensive benefits package including health insurance, retirement plans, and paid time off.

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Assistant Scientist — Data Driven and Autonomous Materials Discovery (CNM)

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