Intern Yr Rnd - R&D Grad - ML-based Materials Discovery, Remote

Search for job title, job req , military title, keywords

Search for City, State, Country, Zip Code

We are seeking a year-round intern, currently enrolled in a Ph.D. program, to apply machine learning and/or first principles simulations to accelerate materials discovery. Research areas may broadly span inorganic materials modeling (oxides, nitrides, MXenes, transition metal dichalcogenides, or others) for energy and fuels (hydrogen or ammonia production, storage, or utilization) or other applications. A central theme in this effort is the rational design of new materials by changing the chemical composition, the arrangement of the atoms or molecules in crystalline or amorphous configurations, and the size, shape, and orientation of nanoparticles, films, crystals, or other nano- or macroscopic units.

Excellent communication skills are required to convey results with multi-disciplinary scientific teams and help prioritize and direct experimental validation efforts.

On any given day, you may be called on to:

Demonstrate the creativity and know-how to (1) develop new material
¿ featurization strategies and (2) adapt state-of-the-art machine and deep learning techniques to directly predict materials properties that are not achievable within currently established methodologies.

Integrate the outputs of machine learning models with other physics-based models or classical simulations to predict the thermodynamic, kinetic, or electronic properties of materials.

The selected applicant can be a remote worker located in any U.S. State or District of Columbia. Regular or periodic travel to your assigned work location may be required.

Salary Range:

At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here (https://(Use the "Apply for this Job" box below).)

.

Qualifications We Require:

You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:

Earned bachelor's degree

Currently attending and enrolled full time in an accredited science, engineering, or math graduate program

Minimum cumulative GPA of 3.0/4.0

Ability to work up to 30 hours per week during the academic year, and up to 40 hours per week during the summer

Ability to secure and maintatin a U.S. security clearance which requires U.S. citizenship

Qualifications We Desire:

Desired majors:
Chemistry, Physics or related fields

Exceptional applicants will also have previous experience and demonstrated success in some of the following:

Extensive experience with running atomistic simulations in LAMMPS for inorganic and nanoconfined materials

Open-source materials science libraries and databases like atomate, ase, pymatgen, Materials Project, OQMD, etc.

Interpretable machine learning techniques to discover new structure-function relationships from experimental or computational data, which will in-turn be used to design novel materials with properties and behavior that are enhanced over existing options.

Active learning techniques to iteratively discover better materials.

Extensive collaboration skills within a larger team engaged in modeling, material synthesis, and use of advanced characterization tools.

Playing a major role in discovery and advancing the fundamental understanding of new materials through state-of-the-art computational and data science tools.

Posting Duration:

This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.

About Our Team:

The Materials Physics department performs fundamental research on the structure and properties of materials to support programs in energy research, device physics, materials reliability, and national security. Specific activities include experimental…