Intern - Data Analytics & Process Optimization Singapore, Singapore Posted 10 ho
Micron Technology, Inc, Boise, ID, United States
## Intern - Data Analytics & Process OptimizationSingapore, Singapore**Our vision is to transform how the world uses information to enrich life for all.**Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.**About Micron Technology, Inc.**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.Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.# **Project Description:****Objective of the Project:**
This project focuses on applying photolithography fundamentals, data science, statistics, and machine learning to enable breakthroughs in advanced semiconductor process development. The intern will work on analytical projects involving large‐scale data correlation, recipe accuracy enhancement, and multi‐level characterization studies. The work emphasizes modeling, simulation, and predictive analytics without requiring direct wafer processing.**Opportunities to be Offered for Full-Time Employment:**
Outstanding performance during the internship may lead to consideration for future full‐time opportunities within Technology Development or related engineering groups.# **Project Scope:****Learning Opportunities:*** Gain deep exposure to photolithography concepts including immersion optics, polarized illumination, low‐k[1] imaging, and material behavior.* Learn how lithography chemical processes and materials differ across 365 nm, 248 nm, and 193 nm technologies.* Explore lithography simulation tools and understand how modeling is applied to low‐k[1] regimes.* Work with large semiconductor datasets to identify trends, correlations, and process sensitivities.* Apply statistical analysis, SPC concepts, and Six Sigma methodologies to evaluate process performance.* Develop predictive models using machine learning or advanced analytics frameworks.* Sharpen communication skills through documentation, presentations, and technical discussions with engineers.* Gain experience transforming data insights into process improvement recommendations.# **Deliverable:****Impact of Project:*** Creation of validated analytical models or predictive tools that improve process accuracy and characterization.* Generation of meaningful insights from photolithography datasets that drive technology decisions.* Delivery of clear reports, visualizations, and presentations summarizing findings for engineering and management teams.* Contribution to the development of enhanced data‐driven methodologies for future lithography nodes.# **Skillset Required:*** Understanding of optical principles such as immersion lithography, polarized illumination, and low‐k[1] imaging.* Familiarity with lithography chemicals and materials across 365/248/193 nm exposure technologies.* Experience using lithography simulation tools for low‐k[1] applications.* Knowledge of material properties and characterization relevant to lithography.* Strong foundation in statistics, probability, and data analysis (Cpk, distributions, hypothesis testing).* Familiarity with machine learning or data science tools (Python, R, or similar).* Understanding of SPC and Six Sigma methodologies.* Ability to interpret complex datasets and communicate insights clearly.# **Course of Interests:**Engineering (Electrical, Mechanical, Chemical), Data Science, Statistics, Physics, Semiconductor EngineeringWe 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(R) and Crucial(R) 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 learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport\_sg@micron.comStrong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it’s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.Micron uses an artificial intelligence ("AI") recruiting software provided by Eightfold AI to assist with and support its recruiting efforts. Before submitting your application to
(the "Platform"), please review Micron’s
to understand how your personal data is processed, as well as this Notice Related to Micron’s Use of the Eightfold AI Recruiting Software ("Notice"). You may also review Eightfold AI’s responsible AI Principles here: .Micron’s use of the Eightfold AI recruiting software in connection with your application may be subject to various AI-related laws and regulations:1. **U.S. State and Local Laws:** Depending on where you reside, the Platform may constitute a high-risk AI system that makes, or is a substantial factor in making, a consequential decision and/or an "automated employment decision tool," as those terms are defined by applicable U.S. law.2. **EU Artificial Intelligence Act ("EU AI Act"):** The EU AI Act classifies AI systems used in recruitment and employment decisions as "high-risk" under Annex III. The EU AI Act applies not only to deployers established in the EU, but also where AI outputs (such as matching scores or candidate rankings) are used by personnel located in the EU, or where the recruitment process relates to a position located in the EU (see below).For applications submitted through the Platform, Micron recruiters will use the assistance of the Eightfold AI recruiting software to identify your skills based on the information in your resume and other application materials, and to help assess how closely your skills match the defined requirements for open roles.While submitting your application through the Platform is not required, we encourage you to do so (as explained below).If you click "Submit" below:1. Micron will provide job recommendations to you, which will be displayed on the Platform.2. The Platform will use AI to inform
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This project focuses on applying photolithography fundamentals, data science, statistics, and machine learning to enable breakthroughs in advanced semiconductor process development. The intern will work on analytical projects involving large‐scale data correlation, recipe accuracy enhancement, and multi‐level characterization studies. The work emphasizes modeling, simulation, and predictive analytics without requiring direct wafer processing.**Opportunities to be Offered for Full-Time Employment:**
Outstanding performance during the internship may lead to consideration for future full‐time opportunities within Technology Development or related engineering groups.# **Project Scope:****Learning Opportunities:*** Gain deep exposure to photolithography concepts including immersion optics, polarized illumination, low‐k[1] imaging, and material behavior.* Learn how lithography chemical processes and materials differ across 365 nm, 248 nm, and 193 nm technologies.* Explore lithography simulation tools and understand how modeling is applied to low‐k[1] regimes.* Work with large semiconductor datasets to identify trends, correlations, and process sensitivities.* Apply statistical analysis, SPC concepts, and Six Sigma methodologies to evaluate process performance.* Develop predictive models using machine learning or advanced analytics frameworks.* Sharpen communication skills through documentation, presentations, and technical discussions with engineers.* Gain experience transforming data insights into process improvement recommendations.# **Deliverable:****Impact of Project:*** Creation of validated analytical models or predictive tools that improve process accuracy and characterization.* Generation of meaningful insights from photolithography datasets that drive technology decisions.* Delivery of clear reports, visualizations, and presentations summarizing findings for engineering and management teams.* Contribution to the development of enhanced data‐driven methodologies for future lithography nodes.# **Skillset Required:*** Understanding of optical principles such as immersion lithography, polarized illumination, and low‐k[1] imaging.* Familiarity with lithography chemicals and materials across 365/248/193 nm exposure technologies.* Experience using lithography simulation tools for low‐k[1] applications.* Knowledge of material properties and characterization relevant to lithography.* Strong foundation in statistics, probability, and data analysis (Cpk, distributions, hypothesis testing).* Familiarity with machine learning or data science tools (Python, R, or similar).* Understanding of SPC and Six Sigma methodologies.* Ability to interpret complex datasets and communicate insights clearly.# **Course of Interests:**Engineering (Electrical, Mechanical, Chemical), Data Science, Statistics, Physics, Semiconductor EngineeringWe 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(R) and Crucial(R) 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 learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport\_sg@micron.comStrong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it’s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.Micron uses an artificial intelligence ("AI") recruiting software provided by Eightfold AI to assist with and support its recruiting efforts. Before submitting your application to
(the "Platform"), please review Micron’s
to understand how your personal data is processed, as well as this Notice Related to Micron’s Use of the Eightfold AI Recruiting Software ("Notice"). You may also review Eightfold AI’s responsible AI Principles here: .Micron’s use of the Eightfold AI recruiting software in connection with your application may be subject to various AI-related laws and regulations:1. **U.S. State and Local Laws:** Depending on where you reside, the Platform may constitute a high-risk AI system that makes, or is a substantial factor in making, a consequential decision and/or an "automated employment decision tool," as those terms are defined by applicable U.S. law.2. **EU Artificial Intelligence Act ("EU AI Act"):** The EU AI Act classifies AI systems used in recruitment and employment decisions as "high-risk" under Annex III. The EU AI Act applies not only to deployers established in the EU, but also where AI outputs (such as matching scores or candidate rankings) are used by personnel located in the EU, or where the recruitment process relates to a position located in the EU (see below).For applications submitted through the Platform, Micron recruiters will use the assistance of the Eightfold AI recruiting software to identify your skills based on the information in your resume and other application materials, and to help assess how closely your skills match the defined requirements for open roles.While submitting your application through the Platform is not required, we encourage you to do so (as explained below).If you click "Submit" below:1. Micron will provide job recommendations to you, which will be displayed on the Platform.2. The Platform will use AI to inform
#J-18808-Ljbffr