CCI - CSE - Chaudhary, Meerub - 11.9.26

Argonne National Laboratory•Lemont, IL

About The Position

The project focuses on developing protocols to accelerate the validation of battery materials and make testing more compatible with autonomous laboratories. Although autonomous labs can expedite some aspects of battery science, testing remains a limiting factor because it can take several weeks to months. The student will assist with building battery prototypes and conducting experiments on variables that may accelerate testing without sacrificing information. The entire appointment must be conducted within the United States. Applicants must be currently enrolled in undergraduate or graduate studies at an accredited institution, have graduated from an accredited institution within the past three months, or be actively enrolled in a graduate program at an accredited institution. Applicants must be at least 18 years old when the appointment begins, have a cumulative GPA of at least 3.0 on a 4.0 scale, and be a U.S. citizen or Legal Permanent Resident at the time of application. Candidates who accept an offer may be required to complete pre-employment drug testing based on appointment length, and all students remain subject to applicable drug testing policies.

Requirements

  • Must be currently enrolled in undergraduate or graduate studies at an accredited institution, have graduated from an accredited institution within the past three months, or be actively enrolled in a graduate program at an accredited institution.
  • Must be at least 18 years old when the appointment begins.
  • Must have a cumulative GPA of 3.0 or higher on a 4.0 scale.
  • Must be a U.S. citizen or Legal Permanent Resident at the time of application.
  • The entire appointment must be conducted within the United States.
  • May be required to complete pre-employment drug testing based on appointment length; students are subject to applicable drug testing policies.

Responsibilities

  • Assist with building battery prototypes.
  • Conduct experiments with variables that may accelerate testing without sacrificing information.
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