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Monash University Malaysia

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Graduate Research Excellence Scholarship

Fully Funded PhD in High-Dimensional Panel Data Analysis at Monash University Malaysia Monash University Malaysia in Malaysia

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 29, 2026

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Country

Malaysia

University

Monash University Malaysia

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Keywords

Computer Science
Data Science
Environmental Science
Agriculture
Mathematics
Economics
High-dimensional Data
Statistics
Macroeconomics
Econometrics
Machine learning

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About this position

Fully funded PhD opportunity at Monash University Malaysia under the Graduate Research Excellence Scholarship (GRES).

The project is titled High-Dimensional Panel Data Analysis and sits at the intersection of statistics, econometrics, machine learning, and data science. The research is framed around real-world applications in climate change modelling, environmental pollution, agricultural data analytics, and sustainable economic development.

Funding: full tuition fee waiver plus a monthly living stipend for up to 3.5 years. International applicants are welcome.

Eligibility: applicants should hold First Class Honours (H1) or an equivalent qualification recognised by Monash University Malaysia, and must provide proof of English language proficiency.

Supervision: main supervisor Professor Erniel Barrios ([email protected]), with associate supervisors Dr Lee How Chinh and Dr Shin Zhu Sim.

How to apply: contact the main supervisor first with your CV, academic transcripts, research interests, and academic achievements. If advised to proceed, submit the PhD application through the Monash University Malaysia Graduate Research Online Application Portal and select High Dimensional Panel Data Analysis as the research topic.

Deadline: 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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