21d ago

Data Science and Analytics - PhD Intern

Data ScienceData & AI

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Quick Summary

Requirements Summary

Minimum Qualifications Pursuing a PhD degree in a relevant field, such as data science, computer science, statistics, Electrical Engineering, Physics, Material Science,

Technical Tools

Data ScienceData & AI

Responsibilities

~1 min read

→Collect, analyze, and interpret large datasets to uncover patterns, trends, and actionable insights.
→Assist in building predictive models, dashboards, and visualizations that support business objectives and improve user experience.
→Collaborate with data scientists, analysts, and engineers to contribute to data-driven projects and solutions.
→Apply statistical techniques and programming skills to support storytelling and decision-making processes.
→Participate in hands-on learning opportunities, gaining real-world experience relevant to Intel's business goals.

Requirements

~1 min read

Pursuing a PhD degree in a relevant field, such as data science, computer science, statistics, Electrical Engineering, Physics, Material Science, Computer Science or scientific field of study directly related to Semiconductor with 0-1 years of hands-on experience in data analytics or programming, demonstrated through internships, academic projects, coursework, or hands-on training.
Minimum of 6 months of experience in one or more of the following:
- Semiconductor materials, fabrication, and device physics
- Electrical characterization of Semiconductor Devices (transistor, diode, etc.)
- Familiarity with statistical methods and techniques used for data analysis.

Advanced Transistor Device Structures and Device Physics.
Process monitoring Test structures design and layout experience.
Device and circuit simulation.
Statistical Process Control (SPC) or Design of Experiments (DOE) principles and engineering analysis tools experience.
Expertise in database structures, research methods, analytics packages (i.e., JMP, MATLAB, Octave), scripting languages (i.e., JSL, Perl, TCL), or programming languages (i.e., Python, SQL, C/C++).
Expertise in agentic AI and orchestrated LLM workflows, machine learning, deep learning, Retrieval-Augmented Generation (RAG), knowledge engineering, and dataflow pipeline architectures.
Strong communication and collaboration skills to work effectively in a team environment.

What We Offer

~1 min read

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.