Research Fellow (Machine Learning)

Research Fellow (Machine Learning)

Nanyang Technological University
Singapore
Not Specified
Not Specified

Job Description


Job Description :
A Research Fellow positionis available in the School of Electrical & Electronic Engineering.
Job Responsibilities

  • Develop/improve machine learning algorithms and apply to PD signals collected using various sensors

  • Prune/optimize the above algorithms so as to run in simple computing hardware with a reasonable accuracy

Job Requirements

  • PhD in Electrical and Electronic Engineering, Computer Science, or related field, with strong background in machine learning

  • Knowledge in power systems is an advantage

  • Proficiency in AI programming languages such as Python or MATLAB

We regret only shortlisted candidates will be notified.Hiring Institution: NTU

Job Details

Industry:

Other

Function:

IT

A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive

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