Lecturer/Senior Lecturer in Industrial Artificial Intelligence in Mechanical Engineering (ntu)
Job posting number: #71602 (Ref:R00015510)
This Job Posting is Expired.
Job Description
The School of Mechanical and Aerospace Engineering (MAE) is one of the top 7 mechanical and aerospace engineering schools in the world. With well-established industry partnerships, MAE provides an active and vibrant research environment with excellent R&D infrastructure and numerous opportunities for research funding. The school has an enrolment of over 2500 undergraduate students with over 90 faculty members and 140 full-time research staff working in well-equipped state-of-the-art laboratories. A growing research student population of over 400 is also actively engaged in strategic research and development work.
We invite highly qualified candidates in the following expertise areas to join its dynamic team of faculty.
- Industrial Artificial Intelligence in Mechanical Engineering
Candidate Profile
- Possess relevant Bachelor and PhD degrees from reputable universities.
- A good research track record, and postdoctoral experience would be advantageous.
- Relevant industry experience with a passion for education
- Expertise in the following areas, Industrial artificial Intelligence (IAI) , Human-AI collaboration in Industrial, Core Technologies in IAI (eg. Machine Learning & Deep Learning Algorithms, Computer vision and image recognition, IoT recognition and Digital Twin), applications of IAI in QC, supply chain, smart manufacturing and automation will be advantageous.
- An excellent teaching record at either undergraduate or graduate levels
- Track record of translational research work with industry relevance would be preferred.
Successful candidates are expected to teach at both undergraduate and graduate levels, supervise graduate students and undergraduate projects. Candidates on tenure-track would also be expected to acquire research funding and conduct research.
We Provide:
- An active and vibrant research environment
- Excellent R&D infrastructure and opportunities for research funding
- Well-equipped state-of-the-art laboratories
- Attractive research start-up grants and PhD student scholarships
- A competitive remuneration package and attractive benefits