NANYANG TECHNOLOGICAL UNIVERSITY

Research Fellow, Computer Science/Electrical Engineering

Location
Singapore
Posted
Tuesday, 24 November 2020
End of advertisement period
Thursday, 24 December 2020
Ref
R00001981
Contract Type
Permanent
Hours
Full Time

NTU Main Campus, Singapore

Energy Research Institute @ NTU, ERI@N invites applications for the position of Research Fellow.

Key Responsibilities:

  • Play a leading role in the development  of AI/Machine learning algorithms for the predictive fault detection and classifications for Li Ion battery energy storage system (ESS) incorporating data driven models of the ESS developed in parallel by a companion team for improved operation safety
  • Conduct research, design and develop machine learning algorithms, RNN, GAN etc models for purposes fault/failure prediction for improved safe operation and maintenance
  • Assist the project Principal Investigator in overseeing junior researchers
  • Work closely with the AI/machine learning team to deliver the overall project KPIs
  • Responsible for regular progress reporting and presentations
  • Support ERI@N research activities including contribution to research proposals

Job Requirements:

  • PhD Degree in Computer Science/Electrical Engineering
  • Possess working experience in data driven model and machine learning algorithm development
  • Experience in AI/Machine learning model development on Tensorflow, Keras, Pytorch, Scikit-learn etc
  • Good knowledge with machine learning algorithms, like neural network, SVM, deep learning
  • Well-developed skills on battery energy storage systems operating condition monitoring and analysis, e.g., battery safety, health and etc
  • Image processing and signal processing analysis using convolutional neural network is advantageous
  • Knowledge about electricity market and grid services is advantageous
  • Independent problem solver with the ability to co-operate and work in a team

We regret that only shortlisted candidates will be notified.

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