Publisher
source

Wake Forest University

Postdoctoral Fellowship in AI, Energy Storage, and Power Systems at Wake Forest University Wake Forest University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is a paid postdoctoral fellowship for one year, with the possibility of extension. Specific stipend amount and benefits are not mentioned.

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Country

United States

University

Wake Forest University

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Keywords

Computer Science
Electrical Engineering
Deep Learning
Energy Storage
Artificial Intelligence
Energy Engineering
Optimisation
Power System
Power Electronic
Control System

About this position

The Engineering Department at Wake Forest University in Winston-Salem, North Carolina, USA, is seeking applications for a Postdoctoral Research Fellow to work with Dr. Hussein Abdeltawab. The fellowship focuses on the forecasting and control of energy storage and renewable energy systems using advanced AI techniques. Research areas include deep learning, power systems, power electronics, optimization, and control, with an emphasis on experimental validation, high-impact publications, proposal development, and student mentoring.

This opportunity is ideal for researchers interested in AI-driven grid operation, storage integration, and intelligent energy management. The position is for one year, with the possibility of extension. Applicants should have a PhD in electrical engineering, computer science, or a related field, and demonstrate expertise in the relevant research areas. The role offers a collaborative environment at Wake Forest University, a leading institution in engineering research.

For more information and to apply, visit the official Wake Forest University job portal. This postdoctoral fellowship provides a unique chance to contribute to cutting-edge research in AI and energy systems, with opportunities for professional development and academic growth.

Funding details

The position is a paid postdoctoral fellowship for one year, with the possibility of extension. Specific stipend amount and benefits are not mentioned.

What's required

Applicants should have a PhD in electrical engineering, computer science, or a closely related field. Strong background in AI, deep learning, power systems, power electronics, optimization, and control is required. Experience with experimental validation, high-impact publications, proposal development, and student mentoring is preferred.

How to apply

Apply online via the provided Wake Forest University job portal link. Prepare your application materials as required by the university. Follow the instructions on the official job posting for submission.

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