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Muhammad Amir khalil

5 months ago

PhD Studentship in Engineering, Signal Processing, and Applied Mathematics (Neurotechnology, EEG, VR/AR) Universiti Teknologi PETRONAS in Malaysia

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Expired

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Country

Malaysia

University

Universiti Teknologi PETRONAS (UTP)

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Keywords

Computer Science
Biomedical Engineering
Signal Processing
Electrical Engineering
Medical Imaging
Deep Learning
Image Processing
Virtual Reality
Eeg
Neuropsychology
Medical Science
Technical Engineering
Applied Mathematic

About this position

The Centre for Intelligent Signal and Imaging Research (CISIR) at Universiti Teknologi PETRONAS, Malaysia, is offering a PhD studentship in Engineering and Applied Mathematics with a focus on neurotechnology and biomedical image analysis. The center is a national leader in neuro-imaging for biomedical applications, addressing challenges such as supporting autistic children, workforce health, and aging populations. Research topics include EEG-based neurofeedback for early autism detection, EEG combined with VR/AR for workplace critical situations, and EEG with eye tracking for early cognitive decline detection.

Applicants should have a strong academic background, holding a Bachelor's degree with a CGPA of at least 3.25/4.00 and a Master's degree in Engineering or a related field. Preferred candidates will have expertise in signal and image processing, statistical analysis, electrophysiological data acquisition (such as EEG, fNIRS, fMRI), VR/AR, and deep learning. Proficiency in English is required, with a minimum IELTS score of 6.5 overall. Candidates should also demonstrate research competency, publication experience, and the ability to assist with research reporting.

The studentship offers a monthly stipend of RM 3,000 and opportunities to attend conferences and short courses. Interested applicants should send their CV, academic transcripts, and a cover letter detailing their expertise and research interests to Dr Rumaisa Hasan at [email protected]. The application deadline is Sunday, 1 February 2026.

This opportunity is ideal for students interested in biomedical engineering, computer science, neuroscience, and electrical engineering, particularly those passionate about neurotechnology and its applications in healthcare and cognitive science.

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.

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