Deskripsi Pekerjaan
Join Nanyang Technological University's pioneering research team as a Research Fellow in Computer Science and lead groundbreaking work in developing LLM-based smart assistants for automotive equipment maintenance. This role offers an exceptional opportunity to shape the future of predictive maintenance technology through cutting-edge artificial intelligence research. You'll collaborate with industry leaders to design intelligent systems that optimize equipment diagnostics, reduce downtime, and revolutionize maintenance workflows in the automotive sector.
As part of Singapore's premier technological institution, you'll work in a dynamic environment with state-of-the-art resources and mentorship from world-renowned faculty. The position requires a passion for translating complex AI concepts into practical solutions that address real-world industrial challenges. Your contributions will directly impact the development of next-generation maintenance automation systems while advancing the boundaries of human-AI collaboration.
Tanggung Jawab
- Lead the research and development of LLM-based intelligent maintenance assistants for automotive equipment
- Design and implement advanced natural language processing algorithms for equipment diagnostics
- Collaborate with automotive industry partners to integrate AI solutions into maintenance workflows
- Develop predictive maintenance models using machine learning and sensor data analysis
- Conduct experimental validation of AI systems in simulated and real-world environments
- Publish high-impact research in top-tier conferences and journals
- Secure external funding through grant proposals and industry partnerships
Kualifikasi
- PhD in Computer Science, Artificial Intelligence, or related field
- Expertise in large language models (LLMs) and transformer architectures
- Strong programming skills in Python with experience in ML frameworks (PyTorch/TensorFlow)
- Research background in natural language processing or predictive maintenance
- Experience with software development lifecycle and deployment of AI systems
- Excellent analytical and problem-solving abilities
- Strong publication record in relevant conferences/journals