Postdoctoral Appointee: Physics-Informed AI Microelectronics Materials

Overview

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.

• 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.

• 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, Tensor Flow) 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.

• 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.

Job Family:
Postdoctoral. Job Profile:
Postdoctoral Appointee. Worker Type:
Long‑Term (Fixed Term). Time Type:
Full time. Salary range: $70,758.00 – $. Comprehensive benefits are part of the total rewards package.

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.