About the job
The Clinical Artificial Intelligence Lab seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. The lab utilizes large real-world complex datasets, including data extracted from electronic health records and medical images, for applications related to patient diagnostics and prognostics.
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Skills
We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have:
- Strong machine learning skills to improve model performance and robustness.
- Exemplary passion and motivation to pursue 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
- Federated learning
The Postdoctoral Researcher will be primarily based at the company, reporting directly to Dr. Farah Shamout, and will work closely with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with regular collaborators across the company campuses and local medical institutions in the UAE.
Key Responsibilities
Research
- Support the supervisor in developing and implementing the research agenda.
- Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare.
- Generate new high-impact ideas based on gaps and limitations of the 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.
- 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.
- Assist the supervisor in preparing grant applications as appropriate.
- Collaborate with scientists within the company Global Network and in Abu Dhabi.
Training & professional development
- Attend trainings and workshops for career development.
- Mentor PhD students and undergraduate research assistants as appropriate.
- Actively participate in events and committees at the company, such as the Postdoctoral Council Steering Committee.
- Gain experience in applying for local research grants (subject to eligibility).
- Transition to independence to pursue a career of choosing following the appointment.
- Create a personalized training and development plan with the supervisor.
Minimum Qualifications
- Currently has or is in process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree).
- Doctoral research in the area of 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 programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice.
- 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 interpersonal and team-building skills.
- Self-motivated with the ability to work independently and in a team.
- Excellent communication skills (oral and written).
- Willingness to learn and confront new challenges.
Preferred Qualifications
- Doctoral research conducted in the area of machine learning for healthcare and related topics.
- Deep knowledge of multi-modal learning, transfer learning, foundation models, and 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 clusters.
Benefits & Employment Terms
The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled.
