Assistant Professor (Tenure-track) in Industrial AI

NTU (Nanyang Technology University- Main Office-HR); Singapore; On-site; USD 80,000 - 120,000; Full time

Job summary

Join a leading institution known for its vibrant research environment and state-of-the-art facilities. This role offers the opportunity to contribute to cutting-edge research in industrial AI and machine learning, focusing on innovative applications in smart manufacturing and complex systems. Successful candidates will engage in teaching and mentoring students while driving research initiatives that intersect various disciplines. With competitive remuneration and attractive benefits, this position is ideal for those passionate about advancing technology and education in a collaborative setting.

Benefits

Research Start-up Grants

PhD Student Scholarships

Competitive Remuneration Package

Attractive Benefits

State-of-the-art Laboratories

Qualifications

• Possess relevant Bachelor and PhD degrees from reputable universities.
• A good research track record and postdoctoral experience would be advantageous.

Responsibilities

• Teach at both undergraduate and graduate levels and supervise projects.
• Acquire research funding and conduct research.

Skills

Artificial Intelligence (AI)

Machine Learning (ML)

Data Science

Advanced Modeling and Simulation

Digital Twins

Optimization Techniques

Education

Bachelor's Degree

PhD

Tools

AI/ML Tools

Job description

The School of Mechanical and Aerospace Engineering (MAE) is one of the top 11 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 our dynamic team of faculty.

• Industrial AI

Candidate Profile:

• Possess relevant Bachelor and PhD degrees from reputable universities.
• A good research track record, and postdoctoral experience would be advantageous.
• Research intersects the multidisciplinary field of artificial intelligence (AI), machine learning (ML), industrial data and decision sciences.
• AI and ML in areas of interest including but not limited to digital twins, smart and sustainable manufacturing systems, smart factory, applications of AI related to optimization, industrial and service operations, and maintenance of complex systems.
• Demonstrate specialization through adoption of advanced AI/ML tools, advanced modeling and simulation, and digital twins in smart manufacturing systems, smart factory, human-robot systems, and complex system design.
• The ability to develop and conduct an effective AI/ML research program in smart manufacturing and factory, supply chains, and logistics is expected.

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

Hiring Institution: NTU