New York University Abu Dhabi (NYUAD) is a globally recognized institution pioneering a transformative model of higher education. As part of the prestigious NYU global network, NYUAD offers an exceptional liberal arts and sciences education, fostering intercultural understanding and leadership. Located in the heart of Abu Dhabi, NYUAD is dedicated to groundbreaking research and graduate education, addressing critical local and global challenges through interdisciplinary collaboration. It plays a vital role in shaping a sustainable, knowledge-based economy in the UAE and advancing NYU’s mission as a model university for the 21st century. NYUAD maintains the highest standards of academic excellence, innovation, and inclusivity, welcoming students and faculty from around the world. The university provides a dynamic environment for learning, research, and professional development in one of the world’s fastest-growing educational and cultural hubs. For more information on career opportunities at NYU Abu Dhabi, visit the official website: http://nyuad.nyu.edu/en/ You can now provide the first NYU Abu Dhabi job post for improvement....

Research Assistant - Clinical Artificial Intelligence

Job Overview
New York University Abu Dhabi is seeking a highly motivated Research Assistant to join the Clinical Artificial Intelligence Lab. The role involves cutting-edge research in machine learning applied to healthcare, with a focus on areas such as multi-modal learning, foundation models, federated learning, and more. UAE nationals are strongly encouraged to apply.

Job Details
Job Location: Abu Dhabi, United Arab Emirates
Industry: Higher Education
Function: Research / Lab
Salary: 14000-18000 monthly (Market estimated)
Gender: Any
Candidate Nationality: Any
Candidate Current Location: Any
Job Type: Full Time

Job Overview
This is an exciting opportunity to work in a cross-disciplinary research environment tackling complex healthcare challenges using large-scale medical datasets. The Research Assistant will contribute to the development, implementation, and evaluation of machine learning models for diagnostics and prognostics. The role also offers mentorship, access to high-performance computing resources, and opportunities for publishing and academic growth.

Key Responsibilities

* Assist in designing and executing machine learning experiments using real-world healthcare data
* Preprocess and manage large medical datasets including EHR and imaging data
* Train, test, and evaluate neural networks using modern frameworks such as PyTorch or TensorFlow
* Collaborate with a multidisciplinary team of researchers, PhD students, and global partners
* Maintain clean, reproducible research code and document experiment outcomes
* Prepare research outputs for submission to journals and conferences
* Contribute to grant writing and proposal development
* Participate in professional development activities and lab events

Job Requirements

* Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related technical discipline
* Demonstrated experience in machine learning or deep learning research
* Proficient in Python and libraries such as TensorFlow, PyTorch, NumPy, Pandas
* Strong understanding of modern ML concepts like transformers, self-supervised learning, and model evaluation
* Hands-on experience working with large datasets and GPU-based training environments
* Excellent communication skills, ability to work both independently and in team settings
* Willingness to learn and contribute in a collaborative, fast-paced environment

Preferred Qualifications

* Final-year thesis or research project in machine learning applied to healthcare
* First-author publications or submissions in academic venues
* Experience using HPC clusters and version control tools like Git
* Evidence of leadership or service in academic research activities

What We Offer

* Competitive tax-free salary with housing and educational allowances
* Access to NYUAD\'s state-of-the-art computing facilities and research network
* Mentorship under leading faculty and collaboration with international institutions
* Long-term career development support including funding and training opportunities
* Inclusive, multicultural research environment fostering innovation and growth

About the Company
New York University Abu Dhabi (NYUAD) is a globally recognized research institution committed to innovation and excellence. The Clinical AI Lab, led by Dr. Farah Shamout, is dedicated to leveraging advanced machine learning techniques to transform healthcare delivery and patient outcomes. The university provides a supportive environment for impactful research at the crossroads of technology and medicine.

Job Title Research Assistant - Clinical Artificial Intelligence Job Description Research Assistant - Clinical Artificial Intelligence Job Overview New York University Abu Dhabi is seeking a highly motivated Research Assistant to join the Clinical Artificial Intelligence Lab. The role involves cutting-edge research in machine learning applied to healthcare, with a focus on areas such as multi-modal learning, foundation models, federated learning, and more. UAE nationals are strongly encouraged to apply. Job Details Job Location: Abu Dhabi, United Arab Emirates Industry: Higher Education Function: Research / Lab Salary: 14000-18000 monthly (Market estimated) Gender: Any Candidate Nationality: Any Candidate Current Location: Any Job Type: Full Time Job Overview This is an exciting opportunity to work in a cross-disciplinary research environment tackling complex healthcare challenges using large-scale medical datasets. The Research Assistant will contribute to the development, implementation, and evaluation of machine learning models for diagnostics and prognostics. The role also offers mentorship, access to high-performance computing resources, and opportunities for publishing and academic growth. Key Responsibilities * Assist in designing and executing machine learning experiments using real-world healthcare data * Preprocess and manage large medical datasets including EHR and imaging data * Train, test, and evaluate neural networks using modern frameworks such as PyTorch or TensorFlow * Collaborate with a multidisciplinary team of researchers, PhD students, and global partners * Maintain clean, reproducible research code and document experiment outcomes * Prepare research outputs for submission to journals and conferences * Contribute to grant writing and proposal development * Participate in professional development activities and lab events Job Requirements * Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related technical discipline * Demonstrated experience in machine learning or deep learning research * Proficient in Python and libraries such as TensorFlow, PyTorch, NumPy, Pandas * Strong understanding of modern ML concepts like transformers, self-supervised learning, and model evaluation * Hands-on experience working with large datasets and GPU-based training environments * Excellent communication skills, ability to work both independently and in team settings * Willingness to learn and contribute in a collaborative, fast-paced environment Preferred Qualifications * Final-year thesis or research project in machine learning applied to healthcare * First-author publications or submissions in academic venues * Experience using HPC clusters and version control tools like Git * Evidence of leadership or service in academic research activities What We Offer * Competitive tax-free salary with housing and educational allowances * Access to NYUAD\'s state-of-the-art computing facilities and research network * Mentorship under leading faculty and collaboration with international institutions * Long-term career development support including funding and training opportunities * Inclusive, multicultural research environment fostering innovation and growth About the Company New York University Abu Dhabi (NYUAD) is a globally recognized research institution committed to innovation and excellence. The Clinical AI Lab, led by Dr. Farah Shamout, is dedicated to leveraging advanced machine learning techniques to transform healthcare delivery and patient outcomes. The university provides a supportive environment for impactful research at the crossroads of technology and medicine. Post Details

Job Start Date Salary from 14000.00 Salary to 18000.00 Number of Vacancies 1 Location Job Location -> UAE Abdu Dhabi Location City Abu Dhabi

Desired Candidate's Profile Gender No Preference Nationality Candidate Current Location Job Classification Job Type Job Type -> Full-time Industry Type Job Industry -> Higher Education Job Function Job Functions -> Research Employers Details Company New York University Contact Person New York University Designation HR Manager Telephone 026284141 Email nyuad.careernyu.edu