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Universiti Kebangsaan Malaysia (UKM)

Fully Funded PhD in Microwave Sensing, Imaging, and Machine Learning at Universiti Kebangsaan Malaysia Universiti Kebangsaan Malaysia in Malaysia

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD opportunity with a Graduate Research Assistantship (GRA) stipend of RM 2,500 per month.

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Country

Malaysia

University

Universiti Kebangsaan Malaysia (UKM)

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Keywords

Computer Science
Electrical Engineering
Microwave Engineering
ML

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About this position

Fully funded PhD opportunity at Universiti Kebangsaan Malaysia (UKM), Faculty of Engineering & Built Environment, through the Microwave Technology Research Group (MTRG).

This doctoral project focuses on microwave sensing, microwave imaging, and machine learning applications in microwave engineering. It is a strong fit for candidates interested in advanced electrical engineering research, sensor technology, imaging systems, and computational methods for engineering innovation.

Funding: Graduate Research Assistantship (GRA) at RM 2,500 per month.

Eligibility / requirements: Applicants should meet the UKM admission CGPA requirements and have skills in CST Studio Suite, ANSYS HFSS, Python, and machine learning.

Location: Bangi, Selangor, Malaysia.

Intake: March 2027.

How to apply: Interested candidates should email an updated CV to [email protected] or message the poster directly for more information.

Funding details

Fully funded PhD opportunity with a Graduate Research Assistantship (GRA) stipend of RM 2,500 per month.

What's required

Applicants should meet the admission CGPA requirements of Universiti Kebangsaan Malaysia (UKM). Required technical skills include CST Studio Suite, ANSYS HFSS, Python, and machine learning. The post is aimed at motivated and qualified candidates interested in microwave sensor technology, microwave imaging, and basic machine learning applications.

How to apply

Send an updated CV to [email protected] or contact the poster via direct message for further information.

More information can be found here

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