AI-Driven Computational Materials Intern for Mobility

Nissan USA; Santa Clara (CA); On-site; USD 41,000 - 55,000; Full time

Benefits offered by this job

Professional development

Mentored internship

Job summary

Nissan USA invites a PhD candidate in Materials Science, Chemistry, Physics, or related field to join the Materials Informatics Team in Santa Clara, CA as a Computational Materials Science Intern. You will apply AI, electronic structure methods, and high-performance computing to advance battery tech and vehicle materials.

You’ll work with researchers and data scientists on material discovery, perform structure calculations, and build data pipelines, while communicating results through reports

Qualifications

• Must be currently pursuing a PhD in Materials Science, Chemistry, Physics, Chemical Engineering, or related field.
• Demonstrated research excellence through publications, conference presentations, patents, or other significant research contributions.
• Advanced understanding of inorganic and/or organic chemistry, reaction kinetics, and surface reactions.
• Experience performing electronic structure calculations using tools such as VASP, Gaussian, or similar platforms.
• Experience automating high-throughput calculations on HPC systems.
• Experience with machine learning and statistical modeling techniques.
• Advanced Python programming skills with ML frameworks such as TensorFlow and scientific libraries including NumPy, SciPy, and pandas.
• Strong analytical, problem-solving, and quantitative research skills.
• Excellent written and verbal communication skills.
• Ability to work collaboratively in a multidisciplinary research environment.

Responsibilities

• Perform electronic structure calculations to investigate material behaviors.
• Train and fine-tune ML interatomic potentials for MD simulations.
• Build and maintain materials databases from open-source datasets and HPC results.
• Conduct descriptive analytics to identify trends in large materials datasets.
• Summarize and present research findings in reports and talks.
• Collaborate with data scientists, researchers, and experimental teams to accelerate discovery.

Skills

Python

Machine learning

TensorFlow

NumPy

SciPy

Pandas

Data analysis

Communication

Team collaboration

Education

PhD in Materials Science

PhD in Chemistry

PhD in Physics

Tools

VASP

Gaussian

HPC scripting

MATLAB

Job description

Nissan USA invites a PhD candidate in Materials Science, Chemistry, Physics, or related field to join the Materials Informatics Team in Santa Clara, CA as a Computational Materials Science Intern. You will apply AI, electronic structure methods, and high-performance computing to advance battery tech and vehicle materials.

You’ll work with researchers and data scientists on material discovery, perform structure calculations, and build data pipelines, while communicating results through reports