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Bilal Khan

9 months ago

Postdoctoral Opportunity in Sustainable Energy Systems and Electrical Engineering at King Fahd University of Petroleum & Minerals King Fahd University of Petroleum & Minerals in Saudi Arabia

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position offers a competitive monthly salary, one month paid annual vacation, housing allowance, comprehensive healthcare and campus medical services, dedicated office space, personal computer and HPC access, access to sports facilities and a private beach, and annual round-trip flight tickets.

Deadline

Expired

Country flag

Country

Saudi Arabia

University

King Fahd University of Petroleum & Minerals

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King Fahd University of Petroleum and Minerals

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Saudi Arabia

King Fahd University of Petroleum & Minerals (KFUPM) is advertising a Postdoctoral Research Opportunity through the IRC for Sustainable Energy Systems. The position is aimed at researchers interested in power electronics , electric propulsion , electric vehicles , microgrids , energy management , predictive maintenance , and optimization of sustainable energy systems . The post specifically mentions research directions such as power-electronic converter design and development for electric propul...

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Keywords

Computer Science
Machine Learning
Environmental Science
Electrical Engineering
Energy Storage
Smart Grid Technology
Artificial Intelligence
Wind Energy
Energy Engineering
Sustainable Energy
Hydrogen Storage
Microgrid Technology
Model Predictive Control
Control System
Cyber-physical System
Solar Fuel

About this position

King Fahd University of Petroleum & Minerals (KFUPM) in Saudi Arabia is inviting applications for a Postdoctoral Researcher position in the IRC for Sustainable Energy Systems. This opportunity is ideal for highly motivated researchers with a background in energy systems, electrical engineering, or control, who are interested in advancing research in sustainable energy technologies.

The research group, led by Assistant Professor Bilal Khan, focuses on cutting-edge topics such as control design for energy systems, artificial intelligence and machine learning applications in energy, anomaly detection, predictive maintenance, cyber-resilient control in cyber-physical power systems, electric vehicle integration for grid stability, smart grid and microgrid optimization, and sustainable energy technologies including solar PV, wind, hydrogen storage, and prosumer systems. Model Predictive Control (MPC) design for smart buildings is also a key area of interest.

Applicants should have a Ph.D. in Renewable Energy, Electrical Engineering, or Control, awarded in 2022 or later, preferably from a well QS-ranked institution. A strong academic background (no D/F grades), excellent publication record, and strong communication skills are required. Candidates should demonstrate expertise or strong interest in the listed research areas.

The position offers a competitive monthly salary, one month paid annual vacation, housing allowance, comprehensive healthcare and campus medical services, dedicated office space, personal computer and HPC access, access to sports facilities and a private beach, and annual round-trip flight tickets. The vibrant campus life at KFUPM provides an excellent environment for research and professional growth.

The application deadline is February 15, 2026. Interested candidates should apply via the provided link. Shortlisted applicants will be contacted for interviews. Please share this opportunity within your network or tag suitable candidates.

Funding details

The position offers a competitive monthly salary, one month paid annual vacation, housing allowance, comprehensive healthcare and campus medical services, dedicated office space, personal computer and HPC access, access to sports facilities and a private beach, and annual round-trip flight tickets.

What's required

Applicants must hold a Ph.D. in Renewable Energy, Electrical Engineering, or Control, awarded in 2022 or later, preferably from a well QS-ranked institution (exceptions considered). Candidates should have a strong academic background with no D or F grades, an excellent publication record, and strong communication skills. Expertise or strong interest in control design for energy systems, AI and ML for energy systems, anomaly detection, predictive maintenance, cyber-resilient control, EV integration, smart grid and microgrid optimization, sustainable energy technologies, and model predictive control for smart buildings is required.

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Professors

Assistant Professor

University Name
Country flag

Saudi Arabia

Research Interests

Control System

Energy Engineering

Model Predictive Control

Electrical Engineering

Smart Grid Technology