Job Description

We are seeking a self-motivated candidate to enhance the quality of research in the fields of machine learning and deep learning in ultraprecision/precision manufacturing. He/she should possess a strong interest in the following mentioned research areas: 

• Ultraprecision/precision machining 
• Application of machine learning/deep learning in manufacturing 
• Signal processing (force, acoustic emission) and data analysis The job scope includes: 
• Lead either advanced manufacturing or smart manufacturing to develop AI methods for process optimization and prediction 
• Deploy/develop advanced data analysis and machine learning/deep learning methods for process/machine tool monitoring and smart manufacturing/tooling 
• Contribute to academic research in the relevant domains and publish high-tier journal papers 

Qualifications

• PhD in Mechanical Engineering, Computer Engineering, Computer Science, Electrical and Electronic Engineering, or a relevant area. 
• Expertise and work experience in programming with at least one language, e.g., Python, R, Java, SQL, Julia, C# or C++, etc. 
• Excellent command of English. 
• Outstanding academic/publication records in machine learning/deep learning 
• Outstanding data analytics, mathematical, and computer modelling skills. 
• Research experience in machine learning, data mining, big data analytics, artificial intelligence, etc. 
• Expertise in the digital twin of machining tools and processes will be a definite advantage. 

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department : Mechanical Engineering