Masters Summer Intern- Computer Science

Job Summary

Pacific Northwest National Laboratory (PNNL) is seeking a Masters Summer Intern in Computer Science to join our cutting‑edge research team in Grandview Heights, Franklin County, US. This paid 12‑week internship offers a stipend of $78,091.27.

Key Responsibilities

• Collaborate with scientists and engineers on high‑performance computing projects.
• Develop, test, and optimize algorithms for data‑intensive simulations.
• Assist in the design and implementation of software tools for scientific workflows.
• Analyze large datasets, generate visualizations, and present findings to multidisciplinary teams.
• Document code, write technical reports, and contribute to publications.

Required Qualifications

• Enrolled in a Master’s program in Computer Science, Computational Science, or a related field.
• Strong programming skills in Python, C++, or Java.
• Experience with parallel computing (MPI, OpenMP) and Linux environments.
• Familiarity with data‑analysis libraries (NumPy, pandas, SciPy) and version control (Git).
• Excellent problem‑solving abilities and written/oral communication skills.

Preferred Qualifications

• Knowledge of machine learning frameworks (TensorFlow, PyTorch).
• Experience with scientific visualization tools (ParaView, VisIt).
• Prior internship or research experience in a national lab or university setting.

What We Offer

• Competitive stipend of $78,091.27 for the summer term.
• Mentorship from senior researchers and access to world‑class computing facilities.
• Opportunities to co‑author technical papers and present at conferences.

Frequently Asked Questions

What academic level is required for this internship?

You must be enrolled in a Master’s degree program in Computer Science or a related discipline.

How long is the internship and what is the compensation?

The internship lasts 12 weeks during the summer and provides a stipend of $78,091.27.

Will I receive mentorship and professional development opportunities?

Yes, interns are paired with senior researchers, receive training on high‑performance computing, and can contribute to publications and conferences.