Publisher
source

Mohd Syahril Ramadhan Mohd Saufi

6 days ago

PhD Position in Deep Learning, Machine Learning, IoT, Signal Processing, and Wireless Sensors Universiti Teknologi Malaysia in Malaysia

Degree Level

PhD

Field of study

Computer Science

Funding

Research-funded PhD position.

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Country

Malaysia

University

Universiti Teknologi Malaysia

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Information Technology
Deep Learning
Internet Of Things
Wireless Sensing
ML

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About this position

Call for PhD applications at Universiti Teknologi Malaysia for a research-funded PhD position in areas related to deep learning, machine learning, Internet of Things (IoT), signal processing, and wireless sensors.

The post is shared by Mohd Syahril Ramadhan Mohd Saufi, Senior Lecturer at UTM, who invites a highly motivated researcher to join his team. The announcement suggests a research-led doctoral opportunity aligned with his recent publications and ongoing research direction.

Eligibility highlights: the post asks for a motivated researcher and requests a CV, cover letter, and transcript. No further details are given about GPA, prior degree, language requirements, or application deadline.

Funding: the position is described as research-funded, indicating financial support is available, but no stipend amount, tuition coverage, or duration is stated.

How to apply: email your CV, cover letter, and transcript directly to the contact email provided in the post. You may also review the linked Google Scholar and Scopus profiles to better understand the supervisor’s research focus before contacting him.

Funding details

Research-funded PhD position.

What's required

Applicants should be highly motivated researchers. The post requests a CV, cover letter, and transcript. No specific degree class, GPA, language test, or other eligibility criteria are stated.

How to apply

Send your CV, cover letter, and transcript directly to the listed email address. Review the poster's recent publications via the provided Google Scholar or Scopus links to understand the research direction before applying.

More information can be found here

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