
Accuracy Improvement for Surface-mounted Device
11 hours ago
Overview:
**WHAT YOU DO AT AMD CHANGES EVERYTHING**
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
**Responsibilities**:
**LOCATION**:Singapore
**CRITERIA**:Current students studying in Universities which are based in Singapore
**INTERNSHIP DURATION**:minimum 20 weeks full time commitment with the option of extending up to a further 12 weeks.
**Intern - Accuracy Improvement for Surface-mounted Device Interconnects Defect-identification Deep-learning Model**
**WHAT YOU CAN EXPECT TO LEARN**:
**PROJECT OVERVIEW**:
The intern will be responsible for collecting, organizing and analyzing various types of data such as time-series thermal characterization data and interconnect defect image for machine learning purpose.
With the gathered data, intern will be responsible for developing new methodology or data-modelling technique to improve the data accuracy and bring new insight from the processed data.
**KEY RESPONSIBILITIES**:
- Data collection
- Data analysis methodology research and exploratory activity
- Implementing and improving current Extract Transform Load (ETL) pipeline for data-processing
- AI model improvement & comparison
- Plan, Implement, and setup Design-of-Experiments (DOE) for thermal characterization activity.
**WHO ARE WE LOOKING FOR**:
**RELEVANT SKILLSETS**:
- Computer Vision
- Knowledge and previous experience working with Image Detection, and Classification using Deep Neural Networks.
- Fundamental understanding of Thermodynamics, Heat Transfer, and Linear Algebra.
- Proficient in Python
**ACADEMIC CREDENTIALS**:
- Background in Mechanical Engineering and/or Data Science/Analytics
LI-CO1
Qualifications:
- Benefits offered are described: _AMD benefits at a glance_._
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