Postdoctoral Appointee: Physics-Informed AI for Microelectronics Materials
- Argonne National Laboratory
- Location: Lemont, USA
- Job Number: 7321330 (Ref #: 421205)
- Posting Date: Newly posted
Job Description
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.
Key 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
Position 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
Preferred Qualifications
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
PostdoctoralJob Profile
Postdoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
Full timeThe expected hiring range for this position is $70,758.00-$117,925.00.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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