Computational Materials Science Intern

We are seeking highly motivated and skilled interns for a 3-6 month internship in our Computational Materials Science team. The intern will focus on one or more of the following areas and will be expected to write reports review literature and prepare presentations of results for project team meetings.

Key responsibilities:

• Development and application of atomistic and/or mesoscale methods for understanding thermodynamics kinetics degradation and transport phenomena
• Computational discovery and/or characterization of next-generation materials systems
• Designing and implementing code for high-performance and high-throughput computing including machine-learning methods

Anticipated areas of interest for 2026 internships: Candidates are strongly encouraged to highlight relevant atomistic experience and projects of interest in their cover letters/resumes. Extra attention is paid to experience in the detailed comparison of simulation results or trends to experimental data.

• Phase transition and analysis of interfaces: thermodynamic/kinetics of solidification nanoparticle growth or gas phase condensation.  
• Microkinetic modeling of chemical reactions: etching corrosion and thermal management. 
• Surface contact under extreme conditions: Abrasion wear migration and stiction with large external fields. 
• Mechanics of amorphous ceramics: surface residual stresses  crack propagation stresses due to mismatched interfaces.
• Development of free-energy methods combining the throughput and flexibility of classical potentials and accuracy of DFT-based machine-learned interatomic potentials 

The ideal candidate has experience in quantitative simulations with one of these methods: 

• Free energy analysis 
• Transition state theory 
• Microscopic phase field methods 
• Gas hydrodynamics 
• Molecular dynamics at phase interfaces (solid/liquid/gas) 

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 :

Required qualifications

• Current PhD candidate at a top university in chemical engineering physics chemistry materials science or a related field
• Experience in running or interacting with atomistic-scale simulations including at least one of: density-functional theory molecular dynamics quantum chemistry or phase-field
• 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 past computational materials science experiences and the desired project choice(s)
• Minimum GPA of 3.0

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
• Past experience directly comparing experimental measurements with computational materials science simulations
• Proven ability to design research objectives conduct independent research and develop expertise in a specific field
• Past experience relevant to one or more of the projects listed

Additional Information :

The U.S. base salary range for this intern position is $40.50-$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 :

No

Employment Type :

Full-time