MLIPs Multi-Fidelity Intern

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.

Key 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

Interns gain hands-on experience in industry research alongside experienced engineers and fellow interns. Past interns often complete one or more patents software packages or publications as well as develop valuable skills in their careers. Approximately half of associates on our team are former interns demonstrating a potential for long-term growth and opportunities.

Qualifications :

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

Desired qualifications:

• 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.

Additional Information :

The U.S. base salary range for this intern position is $30.00-$59.00 per hour. Within the range individual pay is determined based on several factors including but not limited to type of degree work experience and job knowledge complexity of the role type of position job location etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.*

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Yes

Employment Type :

Intern