Research Position in Electrical Engineering at Nanyang Technological University

Applications are invited for a postdoctoral fellowship position in pattern recognition to join Nanyang Technological University. Applicants should apply as soon as possible.

The Delta-NTU Corporate Laboratory for Cyber-Physical Systems was jointly established by the School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University (NTU) and Delta Electronics.

The Corp Lab aims to create business value through collaborative commercialization of translational research and industrial development. The successful candidates will conduct research and development work related to Smart Manufacturing. The candidates are expected to contribute in effort targets pave new solution business in Smart Manufacturing in the Asia Pacific Region.

Delta Electronics was founded in 1971 and is a global leader in Power Electronics, Energy Management and Smart Green Life, with over 50 R&D sites globally and more than 5,000 R&D engineers.

You will be the core research team in developing and delivering computer vision and machine learning (including Deep Learning) to achieve highly accurate and flexible pattern recognition techniques in industrial optical inspection. You will be working at Delta-NTU Corporate Lab where state-of-the-art research facilities and access to top equipment are available and also provides you a vibrant and solution-driven research environment. You will work with a team of researchers, PhD students and hardware & software engineers on real world problems and develop practical solution in manufacturing context. You will conduct and lead original research, publish in patents and top-tier conferences and journals which contribute towards the development of useful solutions.

Candidates should hold a PhD degree in Computer Science or Electrical and Electronic Engineering with research experience in computer vision, image processing and machine learning, in particular, neural networks and deep learning approaches.

Only shortlisted candidates will be notified for interview.


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