Research Fellow, AI and Machine Learning

Expiring today

Thursday, 23 December 2021
End of advertisement period
Saturday, 22 January 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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