Computational Biology - Open Rank Faculty Positions

Undisclosed; Abu Dhabi; On-site; AED 240,000 - 360,000; Full time

Job summary

Mohamed bin Zayed University of Artificial Intelligence seeks passionate Faculty members to deliver instruction, mentor students, and engage in innovative research. The successful candidates will have the opportunity to work within a cutting-edge AI environment and collaborate with leading researchers in the field, contributing to the university's mission of advancing AI excellence.

Benefits

Competitive salaries

Comprehensive health & life insurance

Relocation support for international faculty

State-of-the-art research facilities

Work in a safe city with year-round sunshine

Qualifications

• Demonstrated excellence in innovative and impactful research.
• Interest in mentoring students.

Responsibilities

• Deliver high-quality instruction and mentoring to students.
• Contribute to curriculum development.
• Engage in interdisciplinary research.

Skills

Mentoring students

Conducting innovative research

Interdisciplinary collaboration

Education

PhD in Computer Science or closely related field

Job description

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The School of Public Health is at the forefront of research at the intersection of Genomics, Personalized Medicine, Epidemiology, and Artificial Intelligence (AI). A key initiative within the school 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 school leverages this data and advanced AI and 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

The Department of Computational Biology focuses on developing and applying cutting-edge analytical, mathematical, and computational techniques to address complex questions in healthcare and life sciences. Researchers in this department explore areas such as computational genomics, systems biology, multi-omics integration, foundation AI models, and data-driven modeling of biological networks. By harnessing the power of various datasets as well as the Human Phenotype Project’s extensive molecular datasets—encompassing genetics, transcriptomics, and metabolic profiling—faculty in this department aim to unravel the dynamic interplay of genes, environmental factors, and human physiology, ultimately paving the way for novel biomarker discovery and translational applications in disease prediction and management.

The School of Public Health is expanding and aims to grow to 60 faculty members over the next 3-4years.Faculty joining the school will have full access to unique datasets, including the Human Phenotype Project, enabling innovative research that pushes the boundaries of precision medicine.We invite candidates at all levels (Assistant, Associate and Full Professor) to apply.

About MBZUAI – A Global Leader in AI Research and Education

MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution, currently hosting 80+ world-class faculty and 330+ graduate students and ranking among the top 10 AI universities worldwide.

With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond.

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:
  • Comprehensivehealth & life insurance
  • Relocation supportfor international faculty
• 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).

MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives. Be a part of AI’s future – apply today at MBZUAI