Research Fellow, Computer Science/Electrical Engineering

24 Nov 2020
End of advertisement period
24 Dec 2020
Contract Type
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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