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Intern - Battery Pack Modeling & Degradation Analysis

Astspacemobile

Homestead, Florida, United States (AST - Homestead) permanent

Posted: February 12, 2026

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Quick Summary

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications.

Job Description

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.

Position Overview

We are seeking a Battery Pack Modeling & Degradation Analysis Intern to support our R&D team as part of the 2026 Summer Internship Program. This role focuses on analytical modeling and validation of battery pack behavior using existing cell‑level models and will be validated through pack‑level tests. The intern will help extend cell models to pack‑level representations, conduct and analyze test data, and document methodologies to support future development efforts.

Key Responsibilities

• Extend cell‑level battery performance models to full battery pack representations.

• Apply existing cell degradation models to pack‑level configurations.

• Identify and document assumptions required when scaling degradation behavior from cell to pack.

• Conduct and analyze battery pack test data to validate model predictions.

• Quantify discrepancies between modeled and measured pack‑level behavior.

• Recommend additional parameters or enhanced modeling approaches needed for pack‑level accuracy.

• Support the conversion of MATLAB/Simulink models to Python as needed.

• Document modeling methodology, assumptions, limitations, and results for internal use.

Qualifications

Education:

Enrolled in a Bachelor’s or Master’s program in Engineering or Applied Science.

Experience:

A minimum of 0–1 years of relevant project or academic experience; prior experience with analytical modeling or battery systems is beneficial.

Preferred Qualifications:

• Field of Study: Electrical Engineering.

• Senior undergraduate or graduate student.

• Familiarity with lithium‑ion battery models or electrochemical systems.

• Experience analyzing experimental or test-based data.

Soft Skills:

• Strong analytical and quantitative problem‑solving skills.

• Proven ability to collaborate effectively within cross‑functional teams.

• Excellent written and verbal communication skills.

• Meticulous attention to detail to ensure accuracy in documentation, modeling, and data interpretations.

Technology Stack:

• MATLAB/Simulink

• Python

• Data analysis and visualization tools (e.g., NumPy, pandas, matplotlib)

• General tools: Microsoft Office Suite (Word, Excel, PowerPoint)

Physical Requirements:

• Ability to work in a standard office or lab environment.

• Ability to use a computer for extended periods.

• Occasional hands‑on interaction with test setups or laboratory equipment.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.

AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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