Publisher
source

Md Shafiullah

4 months ago

KFUPM PhD Fellowship

PhD Fellowship in Control, Energy Systems, and AI/ML at King Fahd University of Petroleum & Minerals King Fahd University of Petroleum & Minerals in Saudi Arabia

Degree Level

PhD

Field of study

Computer Science

Funding

Ph.D. fellowship opportunity with limited openings. The post indicates a fellowship/studentship rather than a self-funded place, but no stipend amount, tuition coverage, or other financial details are specified.

Deadline

Expired

Country flag

Country

Saudi Arabia

University

King Fahd University of Petroleum & Minerals

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Smart Grid Technology
Artificial Intelligence
Electric Vehicle
Statistics
energy storage systems

About this position

King Fahd University of Petroleum & Minerals (KFUPM), Saudi Arabia, is advertising a PhD Fellowship Opportunity for Spring 2027 in the Control and Instrumentation Engineering (CIE) Department.

The research group led by Md Shafiullah is seeking motivated PhD candidates interested in control engineering, energy systems, smart grids, renewable energy integration, predictive maintenance, and AI/ML for energy applications. Specific topics include control and management of energy systems such as smart grids and net-zero energy buildings, grid integration and control of renewable energy resources, data-driven identification and control of flexible loads, predictive maintenance for assets in energy systems (machine drives, EVs, renewable energy systems), and machine learning methods for energy-system applications.

Eligibility includes a B.Sc. or M.Sc. in Systems and Control Engineering, Energy Engineering, Process Control Engineering, Electrical Engineering, or a related field. Research or industrial experience in the relevant areas is preferred. Applicants must also satisfy KFUPM/CGIS admission requirements, including the university's language and other admission criteria. The poster also highlights minimum GPA expectations of 3.5/4.0 for the listed degree pathways.

This is described as a competitive fellowship with limited openings. No stipend amount or full funding breakdown is provided in the post.

Deadline: the group asks applicants to email their CV by 25 June 2026, while the university application deadline is 30 June 2026.

How to apply: email your CV to [email protected] and CC [email protected]. Use the subject line: Your Name (Ph.D. Applicant for Spring 2027). Check the CGIS website for admission details and submit the university application by the stated deadline.

Funding details

Ph.D. fellowship opportunity with limited openings. The post indicates a fellowship/studentship rather than a self-funded place, but no stipend amount, tuition coverage, or other financial details are specified.

What's required

Applicants should have a B.Sc. or M.Sc. in Systems and Control Engineering, Energy Engineering, Process Control Engineering, Electrical Engineering, or a related field. Research or industrial experience in the mentioned areas is preferred. Applicants must meet KFUPM/CGIS admission requirements, including the university's English language and other admission criteria. For direct Ph.D. admission, the poster also notes a minimum GPA of 3.5/4.0 for B.Sc. holders; for Ph.D. admission via M.Sc., a minimum GPA of 3.5/4.0 is indicated for M.Sc. holders.

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Professors

Assistant Professor

University Name
Country flag

Saudi Arabia

Research Interests

Artificial Intelligence

Statistics

Computer Science

Electrical Engineering

Smart Grid Technology