The Center for Nanoscale Materials (CNM) at Argonne National Laboratory seeks an Assistant Scientist to lead and support research at the intersection of AI/ML, data infrastructure, autonomous systems, and materials science. The role involves developing data-driven methodologies to accelerate materials discovery, supporting user projects, and collaborating with internal and external researchers. The position offers opportunities for scientific leadership, mentorship, and contribution to strategic nanoscience initiatives.

Responsibilities

• Develop and lead independent and collaborative research programs in computational materials science aligned with CNM and DOE goals.
• Publish research findings in peer-reviewed journals and present at scientific conferences and seminars.
• Contribute to proposal development and assist with project execution and reporting for CNM, DOE, and other sponsors.
• Establish and maintain collaborations with CNM users, providing scientific and technical support for their computational projects.
• Support end-users with HPC operations, workflow optimization, software installation, and job scheduling.
• Collaborate with internal and external researchers to drive innovation in nanoscience and nanotechnology.
• Mentor postdoctoral researchers, research staff, students, and technical personnel.
• Manage vendor relationships related to hardware, cloud services, and support infrastructure.

Compensation

• Salary range from USD 90,063 to USD 143,010 per year.
• Compensation is based on qualifications, experience, and responsibilities.
• Position is classified as W-2 employment.

Benefits

• No health insurance coverage provided.
• No employer retirement contributions offered.

Requirements

• Ph.D. in Materials Science, Physics, Chemistry, Chemical Engineering, Electrical Engineering, or a related field.
• Proven research record in computational materials science and AI/ML applications relevant to quantum information, energy, or microelectronics.
• Experience in formulating scientific problems related to nanoscale systems and DOE research areas.
• Strong skills in data management, high-performance computing, workflow design, and software optimization.
• Excellent oral and written communication skills for effective collaboration and dissemination of research.
• Ability to work effectively in multidisciplinary teams and provide scientific guidance.
• Demonstrated ability to collaborate with diverse research communities.
• Commitment to core values of impact, safety, respect, integrity, and teamwork.
• Experience in proposal development and project reporting is desirable.
• Ability to support and mentor junior researchers and technical staff.