Accuracy Improvement for Surface-mounted Device Interconnects Defect-identification Deep-learning Model

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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:

This is an inter-disciplinary project where the intern will be exposed to Machine Learning development pipeline activity starting from the data-collection, data-processing, database management, model training and deployment. Intern will be exposed to a variety of real-world Computer Vision methods, Data processing pipelines, time-series analytical techniques (Rainflow counting, Fourier-series transform, wavelet transform etc.), basic web development for user-interface (UI), and Machine Learning, for various applications in the Package Reliability team.

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:

A self-driven and hard-working individual that is willing to learn. We are ideally looking for a candidate with a background in Mechanical Engineering with a strong interest in Machine Learning and Data Science/Analytics.

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

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Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.