Langue:EN ES FR

Research Assistant

Applications à proximité : 26 sept. 2026

New York University, Abu Dhabi

Saadiyat Marina District - Al Saadiyat Island - Saadiyat Marina District - Abu Dhabi - United Arab Emirates

3Opinions

Description

The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics.

We are seeking a Research Assistant to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include:

multi-modal learning,
foundation models, including large language models,
agentic AI,
multi-agent AI systems,
transfer learning,
self-supervised learning,
and federated learning.

The Research Assistant will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE.

Key Responsibilities

Research

Support the supervisor in developing and implementing the research agenda;
Conduct high-quality and innovative research primarily focused on ML for healthcare;
Design and implement experiments to compare proposed work with SOTA baselines;
Publish research findings in high-impact journals and conferences;
Communicate and present research findings at international academic gatherings;
Create, maintain, and document high-quality research code for reproducibility;
Maintain good practice in managing and accessing sensitive medical datasets;
And collaborate with scientists within the NYU Global Network and in Abu Dhabi.

Minimum Qualifications

Currently has or is in the process of completing a bachelor’s or master’s degree from a recognized institution
Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field
Demonstrable research experience involving data pre-processing and preparation for machine learning models
Demonstrable research experience in conducting experiments for training and evaluating deep neural networks
Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning
Experience in dealing with large medical datasets (e.g., electronic health records data or medical images)
Ability to use high performance computing cluster
Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow)
Experience in maintaining high-quality code on Github
Experience in running and managing experiments using GPUs
Ability to visualize experimental results and learning curves
Effective inter-personal and team-building skills
Self-motivated with an ability to work independently and in a team to get the work done
Excellent communication skills (oral and written communication)
Willingness to learn and confront new challenges

Preferred Qualifications

Bachelor’s/ Master’s thesis conducted in the area of machine learning for healthcare and related topics
First-author peer-reviewed published papers (or under review)
Evidence of leadership and service activities in the academic domain

For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu.

The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply.

Voici une liste de prévisions...

Vous devez vous connecter pour voir la description complète de l'emploi et postuler.

Gérer / Mettre à niveau cet emploi vers une liste complète d'emploi.

Trouvez votre meilleure opportunité

leur dire AcademicJobs.com Envoyez vous !

Emplois liés - 24 août 2026

Voir tous les emplois

essentiel

Research Assistant

Applications à proximité : 26 sept. 2026

New York University, Abu Dhabi

Saadiyat Marina District - Al Saadiyat Island - Saadiyat Marina District - Abu Dhabi - United Arab Emirates

3Opinions

Description

multi-modal learning,
foundation models, including large language models,
agentic AI,
multi-agent AI systems,
transfer learning,
self-supervised learning,
and federated learning.

Key Responsibilities

Research

Support the supervisor in developing and implementing the research agenda;
Conduct high-quality and innovative research primarily focused on ML for healthcare;
Design and implement experiments to compare proposed work with SOTA baselines;
Publish research findings in high-impact journals and conferences;
Communicate and present research findings at international academic gatherings;
Create, maintain, and document high-quality research code for reproducibility;
Maintain good practice in managing and accessing sensitive medical datasets;
And collaborate with scientists within the NYU Global Network and in Abu Dhabi.

Minimum Qualifications

Currently has or is in the process of completing a bachelor’s or master’s degree from a recognized institution
Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field
Demonstrable research experience involving data pre-processing and preparation for machine learning models
Demonstrable research experience in conducting experiments for training and evaluating deep neural networks
Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning
Experience in dealing with large medical datasets (e.g., electronic health records data or medical images)
Ability to use high performance computing cluster
Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow)
Experience in maintaining high-quality code on Github
Experience in running and managing experiments using GPUs
Ability to visualize experimental results and learning curves
Effective inter-personal and team-building skills
Self-motivated with an ability to work independently and in a team to get the work done
Excellent communication skills (oral and written communication)
Willingness to learn and confront new challenges

Preferred Qualifications

Bachelor’s/ Master’s thesis conducted in the area of machine learning for healthcare and related topics
First-author peer-reviewed published papers (or under review)
Evidence of leadership and service activities in the academic domain

Voici une liste de prévisions...

Vous devez vous connecter pour voir la description complète de l'emploi et postuler.

Gérer / Mettre à niveau cet emploi vers une liste complète d'emploi.

Trouvez votre meilleure opportunité

leur dire AcademicJobs.com Envoyez vous !

Emplois liés - 24 août 2026

Voir tous les emplois

essentiel

Related Conferences

University of the Arts SharjahUnited Arab Emirates

ATypI 2026 Sharjah

Oct 28, 2026 – Oct 31, 2026Sharjah, United Arab Emirates

To Be AnnouncedUnited Arab Emirates

IEEE World Forum on Internet of Things 2026

Oct 26, 2026 – Oct 29, 2026Abu Dhabi, United Arab Emirates

View all conferences →

Research Assistant

Applications à proximité : 26 sept. 2026

New York University, Abu Dhabi

Saadiyat Marina District - Al Saadiyat Island - Saadiyat Marina District - Abu Dhabi - United Arab Emirates

3Opinions

Description

multi-modal learning,
foundation models, including large language models,
agentic AI,
multi-agent AI systems,
transfer learning,
self-supervised learning,
and federated learning.

Key Responsibilities

Research

Support the supervisor in developing and implementing the research agenda;
Conduct high-quality and innovative research primarily focused on ML for healthcare;
Design and implement experiments to compare proposed work with SOTA baselines;
Publish research findings in high-impact journals and conferences;
Communicate and present research findings at international academic gatherings;
Create, maintain, and document high-quality research code for reproducibility;
Maintain good practice in managing and accessing sensitive medical datasets;
And collaborate with scientists within the NYU Global Network and in Abu Dhabi.

Minimum Qualifications

Currently has or is in the process of completing a bachelor’s or master’s degree from a recognized institution
Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field
Demonstrable research experience involving data pre-processing and preparation for machine learning models
Demonstrable research experience in conducting experiments for training and evaluating deep neural networks
Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning
Experience in dealing with large medical datasets (e.g., electronic health records data or medical images)
Ability to use high performance computing cluster
Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow)
Experience in maintaining high-quality code on Github
Experience in running and managing experiments using GPUs
Ability to visualize experimental results and learning curves
Effective inter-personal and team-building skills
Self-motivated with an ability to work independently and in a team to get the work done
Excellent communication skills (oral and written communication)
Willingness to learn and confront new challenges

Preferred Qualifications

Bachelor’s/ Master’s thesis conducted in the area of machine learning for healthcare and related topics
First-author peer-reviewed published papers (or under review)
Evidence of leadership and service activities in the academic domain

Voici une liste de prévisions...

Vous devez vous connecter pour voir la description complète de l'emploi et postuler.

Gérer / Mettre à niveau cet emploi vers une liste complète d'emploi.

Trouvez votre meilleure opportunité

leur dire AcademicJobs.com Envoyez vous !

Emplois liés - 24 août 2026

Voir tous les emplois

essentiel

Related Conferences

University of the Arts SharjahUnited Arab Emirates

ATypI 2026 Sharjah

Oct 28, 2026 – Oct 31, 2026Sharjah, United Arab Emirates

To Be AnnouncedUnited Arab Emirates

IEEE World Forum on Internet of Things 2026

Oct 26, 2026 – Oct 29, 2026Abu Dhabi, United Arab Emirates

View all conferences →

Research Assistant

Applications à proximité : 26 sept. 2026

New York University, Abu Dhabi

Saadiyat Marina District - Al Saadiyat Island - Saadiyat Marina District - Abu Dhabi - United Arab Emirates

3Opinions

Description

multi-modal learning,
foundation models, including large language models,
agentic AI,
multi-agent AI systems,
transfer learning,
self-supervised learning,
and federated learning.

Key Responsibilities

Research

Support the supervisor in developing and implementing the research agenda;
Conduct high-quality and innovative research primarily focused on ML for healthcare;
Design and implement experiments to compare proposed work with SOTA baselines;
Publish research findings in high-impact journals and conferences;
Communicate and present research findings at international academic gatherings;
Create, maintain, and document high-quality research code for reproducibility;
Maintain good practice in managing and accessing sensitive medical datasets;
And collaborate with scientists within the NYU Global Network and in Abu Dhabi.

Minimum Qualifications

Currently has or is in the process of completing a bachelor’s or master’s degree from a recognized institution
Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field
Demonstrable research experience involving data pre-processing and preparation for machine learning models
Demonstrable research experience in conducting experiments for training and evaluating deep neural networks
Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning
Experience in dealing with large medical datasets (e.g., electronic health records data or medical images)
Ability to use high performance computing cluster
Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow)
Experience in maintaining high-quality code on Github
Experience in running and managing experiments using GPUs
Ability to visualize experimental results and learning curves
Effective inter-personal and team-building skills
Self-motivated with an ability to work independently and in a team to get the work done
Excellent communication skills (oral and written communication)
Willingness to learn and confront new challenges

Preferred Qualifications

Bachelor’s/ Master’s thesis conducted in the area of machine learning for healthcare and related topics
First-author peer-reviewed published papers (or under review)
Evidence of leadership and service activities in the academic domain