
Research Assistant in the Division of Engineering - Dr. Farah Shamout
- أبو ظبي
- دائم
- دوام كامل
- Multi-modal learning
- Foundation models, including large language models
- Agentic AI
- Multi-agent AI systems
- Transfer learning
- Self-supervised learning
- Federated learning
- 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;
- And collaborate with scientists within the NYU Global Network and in Abu Dhabi.
- 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
- 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
- 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
Times Higher Education