Research Fellow (Smart Grid, Optimization)

03 Jan 2023
End of advertisement period
01 Feb 2023
Contract Type
Fixed Term
Full Time

Job Description

We are looking for a Research Fellow who is expected to work in the field of Smart Grid Optimization. The selected candidate is expected to:

  • Work on the development of robust optimization algorithm for energy management of a smart port in presence of solar PV and battery energy storage system (BESS)
  • Work on designing and implementing multi-agent system based framework for energy management of a smart port
  • Provide support to a team of researchers in carrying out high-quality research, analysing results, and presenting to the funding agency
  • Publish research in top-tier journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy, etc. 


  • PhD degree or PhD thesis submitted in the field of power systems
  • Possessing strong knowledge in power systems and optimization
  • Experience with optimization tools such as GAMS, Pymo, etc.
  • Has technical proposal writing and presentation skills.
  • Able to plan and organize well and adhere to deadlines.
  • Doing research in a multidisciplinary team.
  • Open to fixed-term contract.

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Electrical and Computer Engineering
Employee Referral Eligible: No
Job requisition ID : 17438

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