Research Fellow (AI & Machine Learning)

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

Location: Kent Ridge Campus

Organization: Engineering

Department : Electrical And Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 7856