Description

As part of the VRI for Precision Medicine, the Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning (ML) 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 Research Engineer to join the team and make significant contributions to the field. The researcher is expected to have (i) strong engineering skills to find innovative and cost-effective means to improve our research, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare.

Methodologies of interest include:

• multi-modal learning,


• transfer learning,


• graph neural networks,


• transformers,


• and self-supervised learning.

The Research Engineer will be primarily based at NYU Abu Dhabi. The Research Engineer will report directly to Dr. Farah Shamout and other PIs in the VRI work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The Research Engineer will engage with our regular collaborators at local medical institutions in the UAE.

Key responsibilities

• Support the supervisor in developing and implementing the research agenda;


• Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare;


• Reproduce results of the state-of-the-art (SOTA) methods;


• Design and implement experiments to compare proposed work with SOTA baselines;


• Contribute to the preparation of manuscripts for publication in high-impact journals and conferences;


• Create, maintain, and document high-quality research code for reproducibility;


• Maintain good practice in managing and accessing sensitive medical datasets;


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

Minimum Qualifications

• Currently has or is in the process of completing a Master s degree or equivalent terminal degree from a recognized institution


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


• Demonstrable research experience involving data pre-processing and preparation for machine learning models


• Demonstrable research experience in conducting experiments for training and evaluating deep neural networks


• Ability to use high performance computing cluster


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


• Experience in maintaining high-quality code on Github


• 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

• Master s thesis conducted in the area of machine learning for healthcare and related topics


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


• Knowledge of multi-modal learning, transfer learning, graph neural networks, transformers, or self-supervised learning


• Experience in dealing with large medical datasets (e.g., electronic health records data or medical images)

The appointment will be for one year, with the option to renew further depending on performance. The terms of employment are competitive and will include housing and travel subsidies. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, up-to-date CV, research statement (1-page), project proposal summary (1-page), and at least three letters of recommendation, all in PDF format. If you have any questions that are not answered in the job advert, please email: fs999@nyu.edu and include [Application for postdoctoral researcher] in the subject line.

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/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Equal Employment Opportunity Statement

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NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.