The Prof. Sunil Kumar’s Research Group in the Division of Engineering at New York University Abu Dhabi seeks to recruit a research assistant to develop AI-enabled healthcare applications. The position is full-time and located in Abu Dhabi, United Arab Emirates, with competitive employment terms including housing and educational subsidies for children.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Key Responsibilities:
- Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata.
- Build and evaluate monocular depth pipelines and implement multimodal retrieval with re-rankers for robust profile selection.
- Design and train advanced AI models for digital twin applications: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation.
- Work with 3D datasets, time-series sensors, and multi-omics or assay data to create predictive models and digital twin prototypes.
- Maintain reproducible code, experiments, and model/dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training.
- Plan, run and analyze pilot studies; participate in data collection, annotation, and lab assay coordination.
- Write up results and contribute to publications, technical reports, and presentations for academic and non-academic stakeholders.
Minimum Qualifications:
- Bachelor’s or Master’s degree in computer science, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline.
- Solid experience in training and evaluating AI models.
- Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow).
- Experience with dataset curation, annotation workflows, and GPU/HPC training.
- Familiarity with 3D data processing or willingness to learn quickly.
- Publications, thesis work, or demonstrable projects in computer vision, multi-modal ML, digital twins, or biomedical ML.
- Familiarity with uncertainty quantification and model explainability methods.
- Strong software engineering practices, including the use of Git and cloud deployment (AWS/GCP/Docker/Kubernetes).
- Good written and verbal communication skills with the ability to work collaboratively across interdisciplinary teams.
Language Requirements:
- No specific language requirements mentioned, but good communication skills are essential.
Application Instructions:
For consideration, applicants should submit the following documents in PDF format:
- Cover letter
- Curriculum vitae with a full publication list
- Statement of research interests
- Transcript
- Three letters of reference
For any questions, please email Prof. Prabodh Panindre.
Application Timeline:
Applications will be accepted immediately and candidates will be considered until the position is filled.
