Computational Materials Science Intern
About The Position
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. 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.
Requirements
- 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
Nice To Haves
- 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
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
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
