Erniel Barrios

This PhD project at Monash University Malaysia investigates the intersection of high frequency, high dimensional time series analysis in both financial markets and neuroscience. The research aims to draw parallels between stylized facts in stock market data—such as contagion and volatility—and connectivity patterns in brain signals, particularly EEG. While stock market data is typically analyzed in the time domain, EEG signals are explored in the frequency domain, offering a unique opportunity to bridge methodologies across disciplines. With implications for business decision-making, the project will quantitatively measure decision processes using instruments like EEG. The research will focus on statistical inference and advanced analysis techniques to understand how business decisions are reflected in neural activity. This interdisciplinary approach leverages expertise in neuroscience, statistics, management, marketing, computer science, economics, and business, making it ideal for candidates with strong quantitative backgrounds. The project is supervised by Professor Erniel Barrios, with Dr. Nazirul Hazim A. Khalim and Dr. Mogana Darshini Ganggayah as associate supervisors. The research is based in the Department of Arts, Social Sciences and Business at Monash University Malaysia, providing access to a vibrant academic environment and state-of-the-art facilities. 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 6 months. To be eligible, candidates must hold a First Class Honours (H1) degree or its equivalent (H1E) recognized by Monash University Malaysia and meet the English language requirements. Applicants with backgrounds in quantitative analysis, neuroscience, data science, machine learning, financial economics, or related fields are encouraged to apply. The application deadline is July 31, 2026. Prospective students should first contact the main supervisor with their academic background and achievements to determine suitability for the project. If a good fit is established, applications can be submitted online, referencing the advertised research topic. Detailed application requirements and submission guidelines are available on the university website. This opportunity offers a unique blend of neuroscience and business analytics, supported by generous funding and expert supervision. It is ideal for motivated candidates seeking to advance their research skills in a multidisciplinary setting.

This PhD project at Monash University Malaysia focuses on high dimensional panel data analysis, a statistical approach crucial for understanding complex systems such as pollution monitoring and meteorological indicators. The research aims to explore the implications of high dimensional panel data for statistical inference, with applications in climate change and structural transformation—areas suspected to influence the middle income trap problem. The project is supervised by Professor Erniel Barrios, with Dr. Lee How Chinh and Dr. Shin Zhu Sim as associate supervisors, offering a multidisciplinary environment within the Arts, Social Sciences and Business department. Successful applicants will be awarded the Graduate Research Excellence Scholarship (GRES), which provides a full tuition fee waiver and a monthly stipend for up to 3 years 6 months. To be eligible, candidates must have a First Class Honours (H1) or its equivalence (H1E) recognised by Monash University Malaysia and meet the English language requirements. The research areas span agricultural sciences, data science, machine learning, econometrics, macroeconomics, political economics, meteorology, pollution, data analysis, and statistics, making this opportunity ideal for students interested in interdisciplinary approaches to real-world problems. The application deadline is July 31, 2026. Prospective students are encouraged to first contact the main supervisor with their academic background and achievements to determine suitability for the project. If deemed a good fit, applications should be submitted online, ensuring the research topic matches the advertised position. Additional information about scholarships and the application process is available through the provided links. This position offers a unique opportunity to contribute to cutting-edge research in statistical inference and its applications to environmental and economic challenges, supported by generous funding and expert supervision at a leading institution in Malaysia.