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. Learn more about CNM themes at: https://cnm.anl.gov

Focus Areas (expertise in one or more is highly desirable)

AI/ML for predictive modeling and inverse design of nanomaterials

Autonomous laboratories for materials synthesis and characterization

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

Interfacing AI tools with experimental facilities at CNM and Argonne

Key Responsibilities

Research leadership (50%)

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

User program engagement (50%)

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

Computational and HPC support

Support end-users with HPC operations and maintenance issues, job optimization and scheduling, workflow understanding, and software installation

Collaboration and mentorship

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

Professional growth and operations

Work toward promotion from Assistant Scientist to Scientist

Manage vendor relationships as needed (hardware, cloud, managed support services)

Safety, security, and stewardship

Execute all activities in compliance with Argonne’s ES&H policies, Safeguards and Security policies, work rules, and safe practices

Position Requirements

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

How to Apply Submit the following materials via the Argonne National Laboratory careers portal:

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

2-page research statement outlining proposed research directions

1-page statement describing your approach to engaging and growing the CNM scientific user program

RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0+ years, or equivalent

Job Family

Research Development (RD)

Job Profile

Materials/Ceramics/Metallurgical 2

Worker Type

Regular

Time Type

Full time

The expected hiring range for this position is $90,063.00 - $143,010.27.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

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