Monash University Malaysia
1 week ago
PhD in High Dimensional Panel Data Analysis Monash University Malaysia in Malaysia
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Sep 29, 2026
Country
Malaysia
University
Monash University Malaysia

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About this position
PhD opportunity in High Dimensional Panel Data Analysis at Monash University Malaysia (Subang Jaya, Malaysia).
This project focuses on high-dimensional panel data, statistical inference, data analysis, data science, econometrics, machine learning, and related applications in pollution, meteorology, climate change, macroeconomics, and political economics. The project aims to study how high-dimensional data arising from complex systems affects inference and to help address problems linked to climate change and structural transformation, including issues related to the middle income trap.
Supervision: Main supervisor is Professor Erniel Barrios (Monash University), with associate supervisors Dr Lee How Chinh and Dr Shin Zhu Sim.
Funding: Successful applicants will be awarded the Graduate Research Excellence Scholarship (GRES), which includes a full tuition fee waiver and a monthly stipend for up to 3 years and 6 months.
Eligibility: Applicants should hold at least First Class Honours (H1) or an equivalent qualification recognised by Monash University Malaysia, and must meet the English language requirements.
How to apply: Contact the main supervisor first with your academic background and achievements to confirm fit. If suitable, submit your application via the project page and ensure you enter the same research topic title as advertised. Review the application submission guide and scholarship/course application information before applying.
Deadline: Tuesday, 29 September 2026.
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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