Research Assistant in the Division of Engineering - Dr. Farah Shamout

The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks a Research Assistant to contribute to enhancing patient care by developing new machine learning methodologies for unique computational problems in healthcare. The lab utilizes large real-world datasets, including data from electronic health records and medical images, to support applications related to patient diagnostics and prognostics.

The candidate is expected to possess strong machine learning skills aimed at improving model performance and robustness, combined with a passion for pursuing 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.

Key Responsibilities:

• Support the supervisor in developing and implementing the research agenda
• Conduct high-quality and innovative research focused on ML for healthcare
• Design and implement experiments to compare work with state-of-the-art (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 practices in managing and accessing sensitive medical datasets
• 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 in computer science, mathematics, computer engineering, or a relevant technical field
• Demonstrable research experience involving data pre-processing and preparation for machine learning models
• Experience conducting experiments for training and evaluating deep neural networks
• Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning
• Experience with large medical datasets (e.g., electronic health records data or medical images)
• Proficiency in Python and libraries (e.g., PyTorch, TensorFlow)
• Experience in maintaining high-quality code on GitHub
• Effective interpersonal and team-building skills
• Excellent communication skills (oral and written)
• Willingness to learn and face new challenges

Preferred Qualifications:

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

Application Process:
For consideration, applicants need to submit a cover letter, curriculum vitae with a full publication list, a research statement (1-page), a project proposal summary (1-page), and three letters of reference, along with a transcript, all in PDF format.

For inquiries, please contact Prof. Farah Shamout at [email protected].

Applications will be accepted immediately and candidates will be considered until the position is filled.

Benefits:
The terms of employment include competitive salaries, housing, and educational subsidies for children.

Language Requirements:
Proficiency in English is required.

Equal Opportunity Statement:
NYU Abu Dhabi is an equal opportunity employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process.