About this position
Location
Abu Dhabi, United Arab Emirates
Deadline
Jun 30, 2027 at 11:59 PM Eastern Time
Description
The Biological and Life Sciences Division at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi is at the forefront of research at the intersection of Genomics, Multi-Omics, Personalized Medicine, Precision Therapeutics, Epidemiology, and Artificial Intelligence (AI). A key initiative within the division is the Human Phenotype Project—a groundbreaking, large-scale longitudinal cohort and biobank designed to identify novel molecular markers with diagnostic, prognostic, and therapeutic value. This project involves deep profiling of participants through comprehensive data collection on medical history, lifestyle and nutritional habits, vitals, anthropometrics, blood tests, continuous glucose and sleep monitoring, and multi-omic molecular profiling, including genetics, transcriptomics, microbiomics, metabolomics, and immune system markers.
The division leverages this data and advanced AI, medical, and computational models to generate insights into disease mechanisms, identifying novel biomarkers and developing state-of-the-art predictive models for disease onset and progression. These models are translated into personalized prevention strategies and innovative therapeutic interventions. Research areas of interest include, but not limited to:
Computational and Systems Biology
Medical and Health Informatics
Personalized Medicine
Foundation AI Models
Multi-omics and Integrative Data Analysis
Population-level Cohort and EHR Analysis
Epidemiology
Pandemics
Biomedical Imaging
Faculty joining the division will have full access to unique datasets, including the Human Phenotype Project, enabling innovative research that pushes the boundaries of precision medicine. Another flagship project, the Emirati Genome Project (EGP), is a national initiative to map the UAE population’s genetic profile, enabling personalized and preventive healthcare through advanced genomic research.
Benefits:
Existing genetic models (largely based on European populations) are less accurate for Emiratis
Enables earlier diagnosis and targeted prevention strategies for high-risk individuals
Supports equitable, data-driven healthcare tailored to the local population
Contributes to national research, public health policy, and future drug discovery
Mohamed bin Zayed University of Artificial Intelligence(MBZUAI) is a world-leading university dedicated to advancing AI as a global force for good. The UAE’s visionary leaders established MBZUAI to educate and develop top talent, conduct advanced research, foster an innovation ecosystem, and act as a strategic think tank for the public and private sectors.
The University attracts world-class thinkers and doers in computer science, AI, bioscience, humanities and beyond. Our groundbreaking academic research initiatives are working on developing future solutions that will impact the world and change the way we imagine things.
Why Join MBZUAI?
Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.
Exceptional Benefits:
Comprehensive health & life insurance
Relocation support for international faculty
Build State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities
Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers
Qualifications
This position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.
Application Instructions
To apply for this position, please submit the following items:
Cover Letter
Curriculum Vitae
Statement of research vision and interests
Statement of teaching interests, experience, and philosophy
List of key publications for last five years and Google Scholar H-Index
Name and contact details for three referees (Referees will be contacted during the recruitment process to upload their reference letter via Interfolio)
We invite candidates at all levels (Assistant, Associate, and Full Professor) to apply.
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