Deskripsi Pekerjaan
Are you passionate about pushing the boundaries of technology? The Agency for Science, Technology and Research (A*STAR) is seeking a highly motivated Research Engineer to join our Advanced Manufacturing and Semiconductor division. In this pivotal role, you will be at the forefront of the Fourth Industrial Revolution, developing cutting-edge AI models to optimize complex semiconductor fabrication processes and advanced manufacturing systems.
As a key member of our R&D team, you will bridge the gap between theoretical data science and real-world industrial application. You will work alongside world-class scientists and engineers to solve high-impact problems, improve yield rates, and drive innovation in Singapore's semiconductor ecosystem. If you are an analytical thinker who thrives on technical challenges and wants to shape the future of high-tech manufacturing, we invite you to apply.
Tanggung Jawab
- Develop and deploy AI/ML models to predict and optimize semiconductor manufacturing process parameters.
- Collaborate with cross-functional teams to integrate data-driven solutions into existing industrial workflows.
- Conduct deep-dive analysis of complex manufacturing data to identify bottlenecks and process inefficiencies.
- Design and maintain high-performance simulation models for digital twin implementation.
- Author technical reports and research papers to document findings and advance knowledge within the semiconductor domain.
- Support the scaling of research prototypes into production-ready industrial applications.
- Participate in technical meetings and workshops to stay abreast of emerging trends in Industry 4.0.
Kualifikasi
- Master’s or PhD degree in Electrical Engineering, Computer Science, Data Science, or a related field.
- Strong proficiency in Python, C++, or Java with experience in deep learning frameworks (PyTorch, TensorFlow).
- Proven experience in statistical modeling, predictive analytics, or computer vision.
- Solid understanding of semiconductor fabrication processes and manufacturing equipment.
- Experience in high-performance computing or cloud-based data architecture is highly desirable.
- Excellent analytical, problem-solving, and communication skills.
- Ability to thrive in a collaborative, research-oriented institutional environment.