MLIPs Multi-Fidelity Intern

Responsibilities

• Development and application of multi-fidelity MLIP frameworks and workflows
• Develop best practice guidelines for multi-fidelity MLIPs setup and inference
• Designing and implementing code for high-performance and high-throughput computing
• Learning and development opportunities
• Candidates must have:
• Current PhD candidate at a top university in chemical engineering, physics, chemistry, materials science, or a related field
• Minimum GPA of 3.0
• Experience in running atomistic-scale simulations via MLIPs as well as electron-based methods to train MLIPs
• Solid foundations in materials science, solid-state physics, and/or chemistry
• Attention to detail, flexibility, creativity, and excellent communication and teamwork skills
• A cover letter describing why the candidate is suited for the position

Requirements

• Significant research experience, including high-impact publications, patents, and/or contributions to open-source codes
• Strong background in physics and coding, and passion on working and understanding physics- and chemistry-based devices
• Proven ability to design research objectives, conduct independent research, and develop expertise in a specific field.
• All your information will be kept confidential according to EEO guidelines.

Additional Information

We are seeking a highly motivated and skilled intern for a 1.5 year (until Dec 2027) internship in our Computational Materials Science team. The intern will focus on MLIP multi-fidelity frameworks, workflows, review literature, and prepare presentations of results for project team meetings.

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Company Intel

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