Research Aide – CPS – Faiyadm Abrar – 1.8.26
About The Position
In this project aims to investigate the properties of molten salts and iron complexes at high temperatures using molecular dynamics and machine learning inter atomic potentials. The student will help to develop and validate equivariant neural networks to predict internal energies and forces of molten salts at atomic resolution with the accuracy of first principles methods. We will use this models to predict the structure factor and radial distributions of molten salts and compare with X-ray observations at APS. Education and Experience Requirements The entirety of the appointment must be conducted within the United States. Applicants must be: ‒ Currently enrolled in undergraduate or graduate studies at an accredited institution. ‒ Graduated from an accredited institution within the past 3 months; or ‒ Actively enrolled in a graduate program at an accredited institution. Must be 18 years or older at the time the appointment begins. Must possess a cumulative GPA of 3.0 on a 4.0 scale. If accepting an offer, must pass a screening drug test Must complete a satisfactory background check.
Requirements
- The entirety of the appointment must be conducted within the United States.
- Currently enrolled in undergraduate or graduate studies at an accredited institution.
- Graduated from an accredited institution within the past 3 months
- Actively enrolled in a graduate program at an accredited institution.
- Must be 18 years or older at the time the appointment begins.
- Must possess a cumulative GPA of 3.0 on a 4.0 scale.
- If accepting an offer, must pass a screening drug test
- Must complete a satisfactory background check.
Responsibilities
- develop and validate equivariant neural networks to predict internal energies and forces of molten salts at atomic resolution with the accuracy of first principles methods
- predict the structure factor and radial distributions of molten salts and compare with X-ray observations at APS
Benefits
- comprehensive benefits are part of the total rewards package
- Click here to view Argonne employee benefits!
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
