Postdoctoral Appointee: Physics-Informed AI for Microelectronics Materials

Argonne National Laboratory • Lemont, IL

61d • $70,758 - $117,925

About The Position

The Center for Nanoscale Materials (CNM) at Argonne National Laboratory seeks an outstanding postdoctoral researcher to advance data-driven, physics-informed AI for microelectronics materials. Working within an interdisciplinary team, you will develop frameworks that connect atomistic features, mesoscale dynamics, and device-level performance. The effort will integrate heterogeneous data from simulations and experiments across scientific user facilities, leveraging data to understand complex material phenomena across scales.

Requirements

• Recent or soon-to-be-completed PhD (within the last 0-5 years) in Materials Science, Data Science, Chemistry, Chemical Engineering, Electrical Engineering, Computer Science, Physics, or a related field
• Demonstrated proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow) applied to scientific problems
• Strong background in managing multimodal datasets
• Proven experience collaborating with experimental teams to validate computational models
• Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Nice To Haves

• Deep understanding of AI/ML concepts, including transformers, latent-space representations, generative models, and reinforcement learning
• Experience with high-performance computing, physics-based simulations, and multimodal data workflows
• Demonstrated ability to train and deploy AI/ML models using simulated and experimental data
• Familiarity with agentic LLM-based approaches and related technologies (e.g., RAG, MCP, A2A)
• Interest in interfacial phenomena and defect dynamics in materials across scales

Responsibilities

• Design, implement, and validate physics-informed AI/ML models for microelectronics materials
• Curate, manage, and integrate heterogeneous datasets from experiments and simulations
• Collaborate closely with experimental teams to benchmark and refine computational models
• Disseminate research through publications, presentations, and open-source contribution

Benefits

• comprehensive benefits are part of the total rewards package
• Click here to view Argonne employee benefits!
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees