Research Assistant in the Division of Engineering

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.

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.