Post-doctoral Fellow, Engineering Department

Graylyn

Winston Salem, NC, United States
Deep learning for power systems
Power electronics and control systems
Matlab and python coding
The appointed candidate will collaborate closely with Dr. Hussein Abdeltawab to develop innovative solutions in forecasting and control systems pertaining to energy storage and renewable energy sources

Job Summary

  • The appointed candidate will collaborate closely with Dr. Hussein Abdeltawab to develop innovative solutions in forecasting and control systems pertaining to energy storage and renewable energy sources.
  • The successful candidate will participate in preparing presentations and scholarly articles for publication in high-tier journals, and will assist in mentoring research assistants and supporting the preparation of technical proposals.
  • This position is available on a one-year contractual basis, with the possibility of extension.

Matching Summary

The appointed candidate will collaborate closely with Dr. Hussein Abdeltawab to develop innovative solutions in forecasting and control systems pertaining to energy storage and renewable energy sources.

Skills & Requirements

Must-have

  • Deep learning for power systems
  • Power electronics and control systems
  • MATLAB and Python coding
  • Simulation environment development
  • Publication in Q1 journals

Nice-to-have

  • Physically informed machine learning
  • Agentic AI and LLMs
  • Hardware-in-the-loop systems

Key Requirements

  • PhD or All but Dissertation (ABD)
  • Strong publication record
  • Proficiency in MATLAB, Python (TensorFlow, Porch)
  • Proficiency in MATLAB (MATpower), Python (Panda Power)
  • Profound knowledge in power systems modeling

Work Rights

Not specified

Tailored Resume

Cover Letter