Junior Research Scientist in the Division of Engineering (Electrical and Computer Engineering) - Dr. Farah Shamout
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Key skills for this role
About the Role
NYU Abu Dhabi's Clinical AI Lab seeks a Research Assistant to develop machine learning methods for healthcare. Requires strong ML skills, experience with medical datasets, and a passion for multidisciplinary research at the intersection of computing and healthcare.
Key Skills for This Role
Responsibilities
- Support the supervisor in developing and implementing the research agenda
- Conduct high quality and innovative research primarily focused on ML for healthcare
- Design and implement experiments to compare proposed work with 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 practice in managing and accessing sensitive medical datasets
- Collaborate with scientists within the NYU Global Network and in Abu Dhabi
Requirements
- Currently has or is in the process of completing a bachelor’s or master’s degree from a recognized institution
- Bachelor’s/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
- Knowledge of multi modal learning, transfer learning, transformers, or self supervised learning
- Experience in dealing with large medical datasets (e.g., electronic health records data or medical images)
- Ability to use high performance computing cluster
- Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow)
- Experience in maintaining high quality code on Github
- Experience in running and managing experiments using GPUs
- Ability to visualize experimental results and learning curves
- Effective inter personal and team building skills
Full Job Posting
Job Overview
- The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies for healthcare applications.
- We use large real world complex datasets, including electronic health records and medical images, for patient diagnostics and prognostics.
Skills
- Multi modal learning
- Foundation models, including large language models
- Agentic AI
- Multi agent AI systems
- Transfer learning
- Self supervised learning
- Federated learning
Key Responsibilities Research
- Support the supervisor in developing and implementing the research agenda.
- Conduct high quality and innovative research primarily focused on ML for healthcare.
- Design and implement experiments to compare proposed work with 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 practice 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 from a recognized institution.
- Bachelor’s/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.
- Knowledge of multi modal learning, transfer learning, transformers, or self supervised learning.
- Experience in dealing with large medical datasets (e.g., electronic health records data or medical images).
- Ability to use high performance computing cluster.
- Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow).
- Experience in maintaining high quality code on Github.
- Experience in running and managing experiments using GPUs.
- Ability to visualize experimental results and learning curves.
- Effective inter personal and team building skills.
Preferred Qualifications
- Bachelor’s/Master’s thesis conducted in the area of machine learning for healthcare and related topics.
- First author peer reviewed published papers (or under review).
- Evidence of leadership and service activities in the academic domain.
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