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New Research Position in Electrical Engineering at Nanyang Technological University

A fully-funded master fellowship in computer science is available at Nanyang Technological University. The initial contract for this position is 2 years. This position is open until filled.

Established in 1981, the SCHOOL OF ELECTRICAL AND ELECTRONIC ENGINEERING (EEE) is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and strong tradition in research. To support teaching and cutting-edge research, EEE is host to 11 research centres and more than 50 laboratories, which are well-equipped with modern facilities and state-of-the-art equipment. With about 200 faculty members and an enrolment of more than 4,000, of which about 1,300 are graduate students, it is one of the largest EEE schools in the world.

We are seeking a strong and motivated candidate for the position of Project Officer in the area of Cyber-Physical Systems, with research focus on a tool development and deployment of distributed CPS. This work will enable the development of a digital-twin, which represents various processes of a factory in a smart manufacturing environment. This position is part of a corporate lab initiative involving NTU and Delta Electronics, a leading electronics manufacturing company. The expected start date for the position is January 2019, and the expected duration of the position is 2 years. Remuneration will be attractive and commensurate based on the qualifications and suitability for the project.

The candidate is expected to have a Bachelor degree in Computer Sciences and Computer Engineering, or related fields.

Experience in both design as well as implementation of technologies for cyber-physical systems is highly desirable. The position is expected to provide an excellent opportunity to perform both fundamental as well as translational research in close collaboration with industry.

Project Overview: With sensing technology becoming pervasive in manufacturing plants, large amounts of data are being generated in real-time. As a consequence, there is a fundamental need to effectively utilize this "big data" so that many of the desired objectives of Industry 4.0 such as predictive maintenance, agile manufacturing and re-configurability, can be realized. The concept of a digital twin to transform big data into meaningful information about the plant has a wide range of applications. The digital twin can be viewed as an accurate and time-synchronized characterization of the physical plant in the cyber domain.

In this project, we propose to develop a model-based design and deployment framework to realize the concept of a digital twin. Model-based design enables the use of correct-by-construction methodology to generate code for both the physical plant controllers as well as the digital twin, thus ensuring the accuracy of the twin as well as its compatibility with plant controllers. Motivated by the idea of synchrony hypothesis, the project aims to develop a tool suite with the following objectives: 1) Plant and controller model specification and simulation to characterize the digital twin, and 2) Automatic model-to-code transformation for controller and digital twin synthesis.

Interested candidates please send your CV/resume to:

Prof Arvind Easwaran

School of Computer Science & Engineering

Nanyang Technological University

50 Nanyang Avenue

Block N4-02a-27a

Singapore 639798

Only shortlisted candidates will be notified for interview.

Application closes when the positions are filled.


Summary:

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