Publisher
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University Malaysia Pahang Al-Sultan Abdullah

PhD in Deep Learning for Acoustic-Based Leak Detection in Water Pipelines Universiti Malaysia Pahang Al-Sultan Abdullah in Malaysia

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Malaysia

University

University Malaysia Pahang Al-Sultan Abdullah

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Keywords

Computer Science
Signal Processing
Mechanical Engineering
Electrical Engineering
Information Technology
Deep Learning
Automotive Engineering
Civil Engineering
Python Programming

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About this position

Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) is calling for a motivated PhD student to join a research group in the Faculty of Mechanical and Automotive Engineering Technology.

The project is titled Formulation of a Deep Learning Model for Acoustic-Based Leak Detection in Water Pipelines under Varied Operational Conditions. This opportunity is especially relevant for applicants interested in deep learning, acoustic signal analysis, water pipeline monitoring, mechanical engineering, civil engineering, and related computational methods.

Eligibility highlights: open to local and international candidates; applicants should hold a Master's degree or a First Class Bachelor's degree in Engineering or a related field (or equivalent). Experience writing for WOS-indexed journals is an advantage, and proficiency in MATLAB or Python is also preferred.

Funding: the position offers a monthly stipend of RM2,800 for up to 3 years. The post also mentions guidance from an active researcher, opportunities for conference participation and networking, exposure to funded research projects and grant opportunities, and support for journal publications and academic career development.

How to apply: interested candidates should reach out directly to Prof. Mohd Fairusham Ghazali via LinkedIn message or email. No formal deadline is stated in the post.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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