Publisher
source

Rollins School of Public Health

PhD Opportunity in Chronic Disease Epidemiology, Machine Learning, and Data Science SRM School of Public Health in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

United States

University

Rollins School of Public Health

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Keywords

Computer Science
Data Science
Epidemiology
Biostatistics
Biology
Artificial Intelligence
Digital Health
Medical Science
Salud Pública
Predictive Analytics
Statistics
ML

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About this position

PhD opportunity at SRM School of Public Health for research at the intersection of chronic disease epidemiology, non-communicable diseases (NCDs), population health, risk prediction, machine learning, artificial intelligence, health data science, and digital health.

The post invites motivated candidates for upcoming PhD admissions under the guidance of Prakash M. The research themes include chronic disease epidemiology, NCDs, large-scale health datasets, real-world health data, predictive analytics, and data-driven public health interventions.

Applicants with backgrounds in public health, epidemiology, biostatistics, statistics, data science, health data science, computer science, medicine, nursing, or allied disciplines are encouraged to apply. The ideal candidate should have an interest in research methodology, quantitative analysis, epidemiology, and programming/data science, or be willing to build these skills during the PhD.

How to apply: interested candidates should DM the poster with a CV and a brief statement of research interests, and apply through the SRMIST Ph.D application form. No deadline is mentioned in the post.

Funding details

Available

What's required

Candidates should have a background in public health, epidemiology, biostatistics, statistics, data science, health data science, computer science, medicine, nursing, or allied disciplines. A strong interest in research methodology, quantitative analysis, epidemiology, and programming/data science is preferred, or willingness to develop these skills during the PhD.

How to apply

Interested candidates should apply through the SRMIST Ph.D application form. They may also DM the poster with a CV and a brief statement of research interests.

More information can be found here

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