70 Epidemiology jobs in the United Arab Emirates
Leading Epidemiology Professors Wanted
Posted today
Job Viewed
Job Description
Epidemiology Professorships
We are seeking visionary scholars to lead our epidemiology programs and contribute to groundbreaking research.
The ideal candidates will have a strong background in teaching, research, and mentorship, with a passion for shaping the future of epidemiology.
As a member of our faculty, you will have opportunities to collaborate with leading researchers, develop innovative curriculum, and engage in interdisciplinary projects.
The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and engaging in research collaborations.
About the Position:
- Teach and mentor students in epidemiology courses
- Contribute to curriculum development and academic programs
- Engage in interdisciplinary research collaborations
- Collaborate with leading researchers on cutting-edge projects
Requirements:
- Ph.D. in Epidemiology or a related field
- Strong background in epidemiological methods and statistical analysis
- Experience in teaching and mentoring students
- Ability to work collaboratively with cross-functional teams
Benefits:
- Award-winning research environment
- Opportunities for professional growth and development
- Collaborative and dynamic faculty culture
Epidemiology - Open Rank Faculty Positions
Posted today
Job Viewed
Job Description
Epidemiology - Open Rank Faculty Positions
Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Digital Public Health: Epidemiology
Abu Dhabi, UAE
Open Date: Jul 01, 2025
Deadline: Jun 30, 2026
Description:
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking passionate and highly motivated faculty members in Epidemiology. Successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and engaging in interdisciplinary research. Faculty will have opportunities to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.
#J-18808-LjbffrEpidemiology - Open Rank Faculty Positions
Posted today
Job Viewed
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 Epidemiology centers on understanding, tracking, and controlling pathogens at the population and individual levels. Researchers tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development strategies. Drawing on the multi-omic insights from the Human Phenotype Project and other large-scale cohorts, this department seeks to identify risk factors and disease mechanisms, develop AI-driven surveillance tools, and design cutting-edge interventions to mitigate current and emerging infectious threats worldwide.
The School of Public Health is expanding and aims to grow to 60 faculty members over the next 3-4years. Faculty joining the department 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.
AboutMBZUAI – 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 the 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
#J-18808-LjbffrEpidemiology - Open Rank Faculty Positions
Posted today
Job Viewed
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 Epidemiology centers on understanding, tracking, and controlling pathogens at the population and individual levels. Researchers tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development strategies. Drawing on the multi-omic insights from the Human Phenotype Project and other large-scale cohorts, this department seeks to identify risk factors and disease mechanisms, develop AI-driven surveillance tools, and design cutting-edge interventions to mitigate current and emerging infectious threats worldwide.
The School of Public Health is expanding and aims to grow to 60 faculty members over the next 3-4years. Faculty joining the department 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.
AboutMBZUAI – 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 the 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
#J-18808-LjbffrEpidemiology - Open Rank Faculty Positions
Posted today
Job Viewed
Job Description
- Epidemiology - Open Rank Faculty Positions
Abu Dhabi, Remote / Other / Non-US, United Arab Emirates
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Abu Dhabi, Remote / Other / Non-US, United Arab Emirates
(on-site)
Job Function
Other
Epidemiology - Open Rank Faculty Positions
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Epidemiology - Open Rank Faculty Positions
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
DescriptionMohamed 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
- Multi-omics and Integrative Data Analysis
- Population-level Cohort and EHR Analysis
- Biomedical Imaging
The Department of Epidemiology centers on understanding, tracking, and controlling pathogens at the population and individual levels. Researchers tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development strategies. Drawing on the multi-omic insights from the Human Phenotype Project and other large-scale cohorts, this department seeks to identify risk factors and disease mechanisms, develop AI-driven surveillance tools, and design cutting-edge interventions to mitigate current and emerging infectious threats worldwide.
The School of Public Health is expanding and aims to grow to 60 faculty members over the next 3-4years. Faculty joining the department 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.
AboutMBZUAI – 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
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 InstructionsTo apply for this position, please submit the following items:
- Statement of research vision and interests
- Statement of teaching interests, experience, and philosophy
- List of key publications for the 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
Job ID: 78994597
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#J-18808-LjbffrEpidemiology - Open Rank Faculty Positions
Posted 1 day ago
Job Viewed
Job Description
Epidemiology - Open Rank Faculty Positions
Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Digital Public Health: Epidemiology
Abu Dhabi, UAE
Open Date: Jul 01, 2025
Deadline: Jun 30, 2026
Description:
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking passionate and highly motivated faculty members in Epidemiology. Successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and engaging in interdisciplinary research. Faculty will have opportunities to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.
#J-18808-LjbffrEpidemiology - Open Rank Faculty Positions
Posted 1 day ago
Job Viewed
Job 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 Epidemiology centers on understanding, tracking, and controlling pathogens at the population and individual levels. Researchers tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development strategies. Drawing on the multi-omic insights from the Human Phenotype Project and other large-scale cohorts, this department seeks to identify risk factors and disease mechanisms, develop AI-driven surveillance tools, and design cutting-edge interventions to mitigate current and emerging infectious threats worldwide.
The School of Public Health is expanding and aims to grow to 60 faculty members over the next 3-4years.Faculty joining the department 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.
AboutMBZUAI – 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
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 InstructionsTo 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 the 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
#J-18808-LjbffrBe The First To Know
About the latest Epidemiology Jobs in United Arab Emirates !
Epidemiology - Open Rank Faculty Positions
Posted 1 day ago
Job Viewed
Job 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 Epidemiology centers on understanding, tracking, and controlling pathogens at the population and individual levels. Researchers tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development strategies. Drawing on the multi-omic insights from the Human Phenotype Project and other large-scale cohorts, this department seeks to identify risk factors and disease mechanisms, develop AI-driven surveillance tools, and design cutting-edge interventions to mitigate current and emerging infectious threats worldwide.
The School of Public Health is expanding and aims to grow to 60 faculty members over the next 3-4years.Faculty joining the department 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.
AboutMBZUAI – 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
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 InstructionsTo 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 the 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
#J-18808-LjbffrEpidemiology - Open Rank Faculty Positions
Posted 1 day ago
Job Viewed
Job 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 Epidemiology centers on understanding, tracking, and controlling pathogens at the population and individual levels. Researchers tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development strategies. Drawing on the multi-omic insights from the Human Phenotype Project and other large-scale cohorts, this department seeks to identify risk factors and disease mechanisms, develop AI-driven surveillance tools, and design cutting-edge interventions to mitigate current and emerging infectious threats worldwide.
The School of Public Health is expanding and aims to grow to 60 faculty members over the next 3-4years.Faculty joining the department 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.
AboutMBZUAI – 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
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 InstructionsTo 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 the 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
#J-18808-LjbffrEpidemiology - Open Rank Faculty Positions
Posted 1 day ago
Job Viewed
Job 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 Epidemiology centers on understanding, tracking, and controlling pathogens at the population and individual levels. Researchers tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development strategies. Drawing on the multi-omic insights from the Human Phenotype Project and other large-scale cohorts, this department seeks to identify risk factors and disease mechanisms, develop AI-driven surveillance tools, and design cutting-edge interventions to mitigate current and emerging infectious threats worldwide.
The School of Public Health is expanding and aims to grow to 60 faculty members over the next 3-4years.Faculty joining the department 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.
AboutMBZUAI – 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
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 InstructionsTo 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 the 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
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