Postdoctoral Associate in Computational & Interactive Health, Data Science and AI
NYU Abu Dhabi’s Center for Interdisciplinary Data Science and AI (CIDSAI) is recruiting a
Post-doctoral Associate
in
Computational & Interactive Health
. The project sits at the intersection of
computer science
,
medical science
,
public health
,
statistics
, and
linguistics
, with a strong emphasis on
machine learning
,
artificial intelligence
,
Arabic knowledge models
,
large language models
, and
multimodal multilingual interfaces
.
The postdoc will work under the supervision of
Dr. Farah Shamout
and
Dr. Hanan Salam
, in close collaboration with
Prof. Nizar Habash
. The research agenda includes: developing robust computational methods for health decision-making based on clinical use cases; building a health-focused Arabic interactive language model using benchmark datasets, evaluation frameworks, specialized LLMs, and AI agents; and designing interactive multimodal natural interfaces for multilingual health applications.
Applicants must hold a
PhD, MD, DDS, or equivalent advanced/terminal degree
from a recognized institution and have
no more than five years since degree completion
. The ideal candidate will have strong ML/AI skills and a clear interest in multidisciplinary research at the computing-healthcare interface. Required application materials include a cover letter, CV with full publication list, 1-page research statement, project proposal summary, transcript or degree, and at least two reference letters.
The appointment is for
2 years
, renewable based on performance, with a maximum total duration of
5 years
. Compensation is highly competitive and includes salary above international postdoctoral rates, generous housing, transportation and travel allowances, educational subsidies for children, full health insurance, and retirement contributions. The UAE does not levy income tax.
Applications are accepted on a
rolling basis
until the position is filled. The post is at
New York University Abu Dhabi
in the
United Arab Emirates
.