Research Fellow, AI and Machine Learning

23 Dec 2021
End of advertisement period
22 Jan 2022
Contract Type
Fixed Term
Full Time

Job Description

We’re looking for a Research Fellow for the project “An AI based automated demand side management”. The project scope is to accelerate the commercialization of Intelligent demand side management solutions with multi-disciplinary capabilities such as advanced communications, real-time control, cloud-based machine learning optimization, and advanced data analytics. 
As a Research Fellow, you would contribute actively to the machine learning optimization part of the product, create cutting edge product for commercial deployment by our collaborator, ReSync. 
You will: 

  • Research, develop, test machine learning models for non intrusive load monitoring, load forecasting 
  • Work with our collaborator, Resync team to build a customer-centric product with the potential to influence behaviour change 
  • Work along with the research fellows from NUS and senior full-stack engineers from Resync


  • PhD in relevant field. 
  • Experience year in full-stack development (preferably 1+ year)
  • Experience with machine learning models, data science tool kits like sci-kit learn 
  • Proficient oral and written communication skills 
  • Prefer candidates based in Singapore or green lanes to Singapore (given covid restrictions), sustainable energy technology and/or electrochemical engineering.   
  • Self-motivated with an aspiration to develop a successful career in the energy sector  
  • Team player, analytical, responsible with a learning mindset.  
  • Open to fixed-term contract

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department : Electrical And Computer Engineering
Employee Referral Eligible: No
Job requisition ID : 7856

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