Research positions in Machine Learning at Rolls-Royce@Nanyang Technological University, Singapore
 About Rolls-Royce@NTU, Singapore:
  • The Rolls-Royce@NTU (Nanyang Technological University, Singapore) Corporate Lab on Large Scale Data Analytics was launched at a joint investment by NTU, Rolls-Royce and the National Research Foundation, Singapore. It is the first of its kind in the world with a university, focusing on three core research areas - Electrical Power and Control Systems, Manufacturing and Repair Technologies and Computational Engineering. The Computational Engineering programme within the lab is investigating state-of-the-art techniques in Data Analytics to process data across the Rolls-Royce design, development, manufacturing, and in-service applications in order to develop strategic capability for introducing step-change improvements in the products and processes.
 The following openings are available at the lab:
  1. One research fellow in machine learning for engines design.

  2. One project officer in machine learning for engines design.
 Required Qualifications:
  1. Research Fellow:

    • PhD degree in Computer Science, Electrical & Electronics Engineering, Statistics/Mathematics or a related discipline with a focus on machine learning, data analytics or artificial intelligence. Having research experience in inverse prediction is a plus.
    • Independent research experience and/or experience in developing and deploying machine learning & optimization technology capabilities to both academic and industrial environment are expected.
    • Practical expertise with the use of Machine Learning or data analytics and optimization, fluency in C/C++ or Java is a plus.


  2. Project Officer/Research Assistant:

    • Master or Bachelor degree in Computer Science, Electrical & Electronics Engineering, Statistics/Mathematics or a related discipline with knowledge in machine learning.
    • Strong programming skills on at least two programming languages, such as Matlab, Python, C++ or Java.
    • Experience in developing and deploying machine learning & optimization technology capabilities to either academic or industrial environment is a plus.
 How to apply:
  • Please send your resume and a cover letter to Sinno Jialin Pan (E-mail: sinnopan@ntu.edu.sg).
 Deadline:
  • The positions will be open until filled. Only shortlisted candidates will be contacted for interviews.
 Date: 26 Mar. 2017.