Data Science Intern, Physics & Machine Learning

Internship Opportunity: Data Science Intern

About the Role:
The planet urgently needs safe, reliable, zero-carbon energy without waste. Nuclear fusion can address the scale of this problem, but for decades, existing fusion approaches have not proven a net positive energy gain. Zap Energy has rethought the fundamental technology of fusion. As the only company using sheared-flow-stabilized Z-pinch, we present potentially the fastest path to commercially available fusion energy.

Zap Energy is seeking a dedicated Data Science Intern with a background in Physics to support the development of a proprietary data analysis framework and other ad hoc tasks, such as developing metrics for system symmetry. This role involves conducting literature reviews, implementing relevant algorithms, performing comparative performance analysis, and engaging in hands-on data analysis.

Key Responsibilities:

• Support the development of a proprietary data analysis framework.
• Conduct literature reviews and implement relevant algorithms.
• Perform comparative performance analysis.
• Develop metrics for system symmetry.
• Engage in hands-on data analysis.

Qualifications:

• Bachelor's degree in Physics or related field
• Currently enrolled in a Master's/PhD program in Physics, Computational Modeling, Scientific Computing, or related field
• This role requires a strong background in Physics. Experience in Data Science related to Marketing or Business Analytics is not relevant to this position.

Skills and Experience Gained:

• Hard skills: Computational Physics, Data-Driven Modeling, Machine Learning for Scientific Computing.
• Soft skills: Operating in a fast-paced deep-tech startup environment, prioritization, and communication skills.

Location

• This is an onsite internship located at Zap Energy HQ in Everett, WA.

Internship Duration

• Our internship start and end timelines are flexible, and can shift according to student schedules.