- give students the opportunity to the state-of-the-art Photolithography tools that are the bedrock of the semiconductor manufacturing process.
- understand the functionality of the equipment.
- develop IOT solutions to enhance the detection capability of the process.
- Explore the equipment and understand the process and sensor data available and identify opportunities for IOT integration
- Innovate and develop end to end solution from data ingestion to anomaly interdiction by using data filtering, data optimization, and data analysis methodologies
- The project will include already ongoing IOT projects which include Nozzle Camera Anomaly Detection (imaging analysis), Temperature and Humidity controller analytics (Data Ingestion), Robot Acoustic (audio analysis), and Robot Motor Driver anomaly (data correlation).
- Develop and complete 1 phase of any existing project or a new IOT project
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INTERN - Photolithography Manufacturing (Polytechnic Students) - Singapur, Singapore - Micron
Description
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.
JR47934 INTERN - Photolithography Manufacturing (Polytechnic Students)Location: Woodlands, Singapore
Department: PH MFG (Photolithography Manufacturing)
Project Title: IOT Integration Development
Project Description:
The Photo IOT Integration Development internship program strives to:
This will involve setting up various IOT sensors/controllers, servers, data transfer protocol and dashboards for data analysis. Close cross functional collaboration with Equipment, Process, smart manufacturing and Data Science teams to identify viable methods on early detection and resolution or elimination of failure events.
Scope:
Deliverable:
Skillset Require: Good command of Python(ML packages) and Arduino prototyping circuits will be beneficial
Course of interests: IOT, Manufacturing, Semiconductor
Duration Period: 6 months
