Junior Research Scientist in the Center of Interdisciplinary Data Science and Artificial
Description
The Center for Interdisciplinary Data Science and AI (CIDSAI) at NYU Abu Dhabi is a cross‑disciplinary hub where mathematicians, computer scientists, engineers, and social scientists join forces to push the boundaries of data‑driven discovery. Our mission is two‑fold: to advance fundamental theory in probability and machine learning, and to translate those breakthroughs into high‑impact tools that serve the UAE, the wider Arab world, and global society.
We are seeking a Junior Research Scientist to join the team to work under the theme of Computational & Interactive Health under the supervision of Dr. Farah Shamout & Dr. Hanan Salam and in close collaboration with Prof. Nizar Habash. The researcher is expected to have strong machine learning & AI skills and exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. The project has three main objectives: (a) developing robust computational methods for decision-making in health based on clinical use cases of interest, (b) building a tailored health-focused Arabic knowledge interactive language model through the development of benchmark datasets, evaluation frameworks, and specialized LLMs and AI agents, and finally (c) designing specialized interactive multimodal multi-lingual natural interfaces.
Qualifications:
- A master's degree in less than 5 years of research experince in the relevant field or a bachelors degree with any level of experince.
- Support the research supervisors and team in developing and implementing the research agenda.
- Conduct high-quality and innovative research primarily focused on Computational & Interactive Health.
- Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA).
- Publish research findings in high-impact journals and conferences.
- Communicate and present research findings at local and international academic gatherings.
- Create, maintain, and document high-quality research code for reproducibility.
- Maintain good practice in managing and accessing sensitive medical datasets.
- Collaborate with other scientists within the NYU Global Network and in Abu Dhabi.