Deskripsi Pekerjaan
Join our elite ML/Vision engineering team at the Agency for Science, Technology and Research (A*STAR) and shape the future of AI-powered quality control! As a Research Scientist in Predictive Quality, you'll develop cutting-edge machine learning and computer vision solutions to revolutionize industrial quality assurance processes. You'll work in a dynamic environment where your research directly impacts Singapore's technological advancement, collaborating with world-class researchers and engineers to transform theoretical models into practical applications that enhance product reliability and efficiency. This role offers unparalleled opportunities to publish in top-tier conferences and contribute to patent innovations while solving real-world industrial challenges. A*STAR provides state-of-the-art facilities and a collaborative ecosystem where your ideas can flourish and create lasting impact.
Tanggung Jawab
- Develop and implement predictive ML models for automated quality control using computer vision and deep learning techniques
- Lead research initiatives to advance AI-driven defect detection and quality assurance methodologies
- Collaborate with cross-functional teams to integrate predictive solutions into industrial production systems
- Analyze large-scale datasets to identify quality patterns and optimize predictive algorithms
- Publish research findings in leading conferences and journals while contributing to patent applications
- Mentor junior researchers and drive innovation in machine learning for industrial applications
- Design and conduct experiments to validate model performance and scalability in real-world environments
Kualifikasi
- PhD in Computer Science, Machine Learning, Computer Vision, or related quantitative field
- Strong publication record in top-tier conferences (NeurIPS, CVPR, ICML) or journals
- Expertise in deep learning frameworks (TensorFlow/PyTorch) and computer vision libraries
- Proven experience with predictive modeling and anomaly detection techniques
- Proficiency in Python, data processing tools (Pandas, NumPy), and cloud platforms (AWS/GCP)
- Ability to translate complex technical concepts into practical industrial solutions
- Strong analytical skills with experience in experimental design and statistical analysis