Research Fellow, Computer Science/Electrical Engineering

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.