Intern - AI‑Driven Process Development Deposition & Ion implantation

What You'll Do

• AI & Data Analytics for Process Development 1.
• Perform exploratory data analysis (EDA) on large‑scale process, tool, inline, metrology (XRR, XRD, CD, thickness, Rs), and electrical datasets to identify trends, correlations, and process sensitivities. 2.
• Apply machine learning models (regression, classification, clustering, time‑series) to support: Process window optimization, Variability reduction and excursion detection and Predictive learning for film properties and implant behavior 3.
• Develop physics‑informed features (dose, pressure, temperature, power, gas flow, energy, tilt, etc.) relevant to CVD / ALD / PVD / ion implant processes.
• Statistical Modeling & Anomaly Detection 1.
• Conduct statistical analysis including regression, hypothesis testing, multivariate analysis, and DOE interpretation. 2.
• Apply anomaly and drift detection techniques to identify tool‑to‑tool differences, chamber aging effects, and early signals of process instability. 3.
• Support FOAK / learning line data analysis and rapid feedback during early process bring‑up.
• Visualization & Communication 1.
• Create clear visualizations, dashboards, and summaries to communicate insights to: Process engineers, Integration partners and 3.
• Technical leadership 2.
• Translate complex AI outputs into explainable narratives, including feature importance, root‑cause hypotheses, and process recommendations.
• Collaboration & Project Delivery 1.
• Collaborate with process engineering, equipment, integration, and data science teams to scope impactful intern projects. 2.
• Develop clean, reusable data pipelines for data extraction, cleaning, and feature engineering. 3.
• Deliver a complete intern project package, including: Code / notebooks, Documentation, Presentation‑ready technical summary with clear impact to process development Education & Qualifications Required Currently pursuing a Bachelor’s, Master’s, or PhD in: Materials Science & Engineering Electrical or Chemical Engineering Physics Data Science / Computer Science Statistics, Applied Mathematics, AI Strong Python proficiency for data analysis (NumPy, Pandas, SciPy, scikit‑learn, etc.).
• Solid understanding of statistics and data analysis fundamentals .
• Preferred Coursework or experience in semiconductor processing , especially: Thin‑film deposition (CVD, ALD, PVD) Ion implantation Metrology and device fabrication Familiarity with machine learning applied to real‑world datasets.
• Experience with data visualization tools (Tableau, Power BI, Streamlit, or similar).
• Exposure to DOE, SPC, or manufacturing data analysis is a strong plus.
• Experience with cloud or big‑data platforms (Azure, AWS, GCP, Spark) is a bonus.
• About Micron Technology, Inc.
• We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all .
• With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands.
• Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
• To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
• Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
• AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials.
• However, all information provided must be accurate and reflect the candidate's true skills and experiences.
• Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
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