Postdoctoral Associate: School of Public Health – Epidemiology

Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Digital Public Health: Epidemiology

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research.

About the role:

This position focuses on developing and applying advanced statistical and machine learning methods to analyze digital health data collected over time. The work involves creating new models and algorithms that can handle complex data challenges, such as missing information and personalized predictions. The researcher will work both independently and collaboratively to design and test innovative data analysis methods. These methods will be applied to real-world problems in personalized nutrition and diabetes to improve health insights and outcomes.

Key Responsibilities:

• The work focuses on developing statistical and machine learning methods for longitudinal digital health data, including new random-effects regression models in functional data, uncertainty quantification via conformal prediction, methods for missing data, and transfer learning algorithms.

The candidate must be research independent and in collaboration with the team, propose novel data analysis methods in the area of digital health and validate in relevant applications in the field of personalized nutrition and diabetes.

Qualifications

• Ph.D. in Statistical Science, Computer Science, Biostatistics, Artificial Intelligence, Machine Learning, or a closely related field.

Minimum:

• Seeking candidates with experience in statistical and machine-learning theory and methods development.
• Biomedical research experience and participation in clinical publications are a plus.

Preferred:

• First-author publications in leading biostatistics, statistics, and machine-learning journals, plus experience at top-tier conferences (e.g., ICML, NeurIPS).
• Relevant publications on statistical and machine-learning methods development, with a strong focus on biomedical applications and longitudinal data analysis.

What we offer:

• A stimulating research environment at MBZUAI with leading experts in AI.
• Competitive compensation and benefits package aligned with top-tier academic markets.
• Significant opportunities for professional development and travel to major conferences.
• A one-year appointment with the possibility of extension based on performance and project needs.

Application Instructions

Interested candidates should submit the following documents:

1. Cover letter
2. Current Curriculum Vitae (C.V.)
3. A link to your Google Scholar profile

Applications will be reviewed on a rolling basis, and the position will remain open until filled.

For more information or to apply, please visit MBZUAI Careers or contact Dr. Marcos Matabuna.