8 часов назад
2H University Intern - FR CMOS Device Engineering (Machine Learning)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
2H University Intern - FR CMOS Device Engineering (Machine Learning): Characterizing semiconductor devices and developing deep learning models to predict and optimize electronic device performance with an accent on experimental data, device testing, and data engineering. Focus on preparing datasets, training and validating models, applying inverse design techniques, and developing PCB hardware for device characterization.
Location: Singapore
Company
is a full-service semiconductor foundry providing design, development, and fabrication services through a global manufacturing footprint.
What you will do
- Perform semiconductor device testing and collect data across multiple characterization platforms.
- Develop scripts for data processing, analysis, and visualization.
- Prepare and clean datasets for machine learning workflows.
- Train, validate, and iteratively refine deep learning models for device performance prediction.
- Apply inverse design techniques to generate optimal device design parameters.
- Develop additional PCB hardware when required and validate the setup through device characterization.
Requirements
- Bachelor's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, or an equivalent field.
- Interest in semiconductor device characterization, data engineering, and machine learning model development.
- Ability to work with experimental data and develop technical scripts.
Nice to have
- Experience with Python, C, or C++.
Culture & Benefits
- One-on-one mentorship and meaningful project assignments.
- Professional development opportunities and networking with executives.
- Hands-on experience in a state-of-the-art semiconductor characterization facility.
- Exposure to a semiconductor R&D environment and a potential pathway to a future career with .
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