Yaman Hamed

Universiti Teknologi PETRONAS (UTP) is advertising a PhD opportunity in Applied Science for candidates interested in statistical modelling , machine learning , predictive analytics , and physics-informed / hybrid AI modelling . The research focus includes statistics and data analytics , time series modelling , multitask neural networks , and physics-informed neural networks (PINNs) . This is a research-based, full-time PhD vacancy with an emphasis on advanced data-driven modelling for complex systems. Funding: monthly stipend of RM 3,000 plus tuition fee waiver (for TA work). Eligibility highlights: applicants must have a BSc in Statistics or Applied Mathematics , a minimum CGPA of 3.25 (or equivalent), and ISI-indexed Q1/Q2 journal publications . A strong quantitative background, solid programming skills (especially Python ), and demonstrated research capability are required. Experience or strong interest in deep learning, time series modelling, and physics-informed modelling is preferred. Application deadline: 31 May 2026. How to apply: complete the PhD Candidate Screening Form at the provided link. Only shortlisted candidates will be contacted.

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