Intel
Data Science and Analytics - PhD Intern
$137K–$137K
US, Oregon, Hillsboro · Internship · Posted Oct 7, 2026
- Experience
- 0–1 years of hands-on experience in data analytics or programming; minimum 6 months in one or more specified semiconductor or statistical areas.
- Education
- Pursuing a PhD degree in a relevant field.
About the job
Analyzes semiconductor-related datasets and contributes to models, dashboards, and visualizations that support business decisions and user experience.
What you'll do
- Collect, analyze, and interpret large datasets to identify patterns and actionable insights.
- Assist in building predictive models, dashboards, and visualizations.
- Collaborate with data scientists, analysts, and engineers on data-driven projects.
What they ask for
- Pursuing a PhD in a relevant field, such as data science, computer science, statistics, electrical engineering, physics, material science, or a scientific field directly related to semiconductors.
- 0–1 years of hands-on experience in data analytics or programming, demonstrated through internships, academic projects, coursework, or hands-on training.
- At least 6 months of experience in semiconductor materials, fabrication, and device physics; electrical characterization of semiconductor devices; or familiarity with statistical methods used for data analysis.
Nice to have
- Experience with advanced transistor device structures and device physics, process monitoring test structures, device and circuit simulation, or SPC/DOE.
- Expertise in analytics tools, scripting or programming languages, and agentic AI, LLM workflows, machine learning, deep learning, RAG, knowledge engineering, or dataflow pipelines.
Pay
$136,998.00-137,002.00 USD (annual salary range; base salary or total pay not specified)
Tools
JMP, MATLAB, Octave, JSL, Perl, TCL, Python, SQL
AI focus
Preferred expertise includes agentic AI and orchestrated LLM workflows, machine learning, deep learning, Retrieval-Augmented Generation (RAG), knowledge engineering, and dataflow pipeline architectures.
Model-written summary · the original posting is authoritative