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. The lab utilizes large, complex real-world datasets, including electronic health records and medical images, to enhance patient diagnostics and prognostics.
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Key Responsibilities:
- Support the supervisor in developing and implementing the research agenda.
- Conduct high-quality and innovative research focused on ML methodology development for healthcare.
- Generate new high-impact ideas based on gaps in the current 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.
- Present research findings at international academic gatherings.
- Maintain and document high-quality research code for reproducibility.
- Manage and access sensitive medical datasets responsibly.
- Assist in preparing grant applications.
- Collaborate with scientists within the NYU Global Network and local medical institutions in the UAE.
Minimum Qualifications:
- Currently has or is completing a PhD, MD/PhD, DPhil, or equivalent degree (no more than 5 years since completing the doctoral degree).
- Doctoral research in machine learning and artificial intelligence.
- Bachelor’s/Master’s degree in computer science, mathematics, computer engineering, or a relevant technical field.
- First-author peer-reviewed published papers (or under review).
- Proficient in Python programming and relevant libraries (e.g., PyTorch, TensorFlow).
- Experience maintaining high-quality code on GitHub.
- Experience with GPU experiment management.
- Strong visualization skills for experimental results.
- Excellent communication skills (oral and written) and interpersonal skills.
Preferred Qualifications:
- Research in machine learning for healthcare and related topics.
- Knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning.
- Experience with large medical datasets such as electronic health records or medical images.
- Ability to use high-performance computing clusters.
Application Process:
Applicants should submit a cover letter, curriculum vitae with a full publication list, research statement (1-page), project proposal summary (1-page), and three letters of reference, along with a transcript, all in PDF format. For inquiries, contact Prof. Farah Shamout at [email protected].
Work Conditions:
Full-time position with competitive terms of employment that include housing and educational subsidies for children. Applications are accepted immediately and candidates will be considered until the position is filled.
Language Requirements:
Proficient communication skills in English are essential.
Equal Opportunity Employer:
UAE Nationals are encouraged to apply. NYU is committed to providing equal treatment and opportunity in its recruitment and hiring processes.
