阿联酋纽约大学阿布扎比分校临床人工智能实验室2025年博士后招聘

Post-Doctoral Associate in the Division of Engineering - Dr. Farah Shamout

Employer

New York University Abu Dhabi

Location

Abu Dhabi, United Arab Emirates

Faculty Jobs

Engineering & Mathematics, Science & Technology, Computer Science & Information Technology

Position Type

Postdoc

Employment Type

Full Time

Institution Type

Four-Year Institution

Job Details

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 Postdoctoral Researcher 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

Federated learning

The Postdoctoral Researcher 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 methodology development for healthcare;

Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA);

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;

Assist the supervisor in the preparation of grant applications (as appropriate);

And collaborate with scientists within the NYU Global Network and in Abu Dhabi.

Training & professional development*

Attend trainings and workshops for career development;

Mentor PhD students and undergraduate research assistants (as appropriate);

Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee;

Gain experience in applying for local research grants (subject to eligibility);

And transition to independence to pursue a career of choosing following the appointment.

* The researcher will create a personalized training and development plan with the supervisor.

Minimum Qualifications

Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree)

Doctoral research in the area of machine learning and artificial intelligence

Bachelor s/ Master s degree in computer science, mathematics, computer engineering, or relevant technical field

First-author peer-reviewed published papers (or under review)

Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice

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

Doctoral research conducted in the area of machine learning for healthcare and related topics

Deep knowledge of multi-modal learning, transfer learning, foundation models, and 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

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, and a transcript, 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.

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

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