Research Fellow (Machine Learning and Power System Optimal Operation)

Research Fellow (Machine Learning and Power System Optimal Operation)

Nanyang Technological University
Singapore
Not Specified
Not Specified

Job Description


Job Description :
A Research Fellow position is available in the School of Electrical & Electronic Engineering (EEE).
About our research group: The successful applicant will join the power and control research group in EEE, NTU, a top school among fastest young research institutes. The group focuses on interdisciplinary research with emphasis on power systems stochastic optimization with renewables. The group works in collaboration with the world’s leading experts in electrical engineering, controls, physics, and mathematics from various top-notch research institutes.
Job Description
  • Work on a project to do research in the area of power system stochastic optimal & stable operation under uncertainties
  • Develop stochastic optimization models, study the optimality, and develop control algorithms to realize the optimal operation
  • The key deliverable is paper publications

Job Description
  • Ph.D. degree in machine learning, power systems, controls, operational research, physics, applied mathematics, or related disciplines with a proven track record
  • Expertise in optimization
  • Knowledge in stochastic processes
  • Proficiency in programming languages such as MATLAB, Mathematica, and Julia
  • Proficiency in English

We regret only shortlisted candidates will be notified.Hiring Institution: NTU

A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive

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