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Junior Research Scientist in the Division of Engineering - Drs. Sunil Kumar and Prabodh Panindre
Junior Research Scientist in the Division of Engineering - Drs. Sunil Kumar and Prabodh PanindreNYU Abu Dhabi • Abu Dhabi
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Junior Research Scientist in the Division of Engineering - Drs. Sunil Kumar and Prabodh Panindre

Junior Research Scientist in the Division of Engineering - Drs. Sunil Kumar and Prabodh Panindre

NYU Abu Dhabi • Abu Dhabi
منذ أكثر من 30 يومًا
الوصف الوظيفي

Description

The Prof. Sunil Kumar’s Research Group in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications.

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: 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 (SME pilots and lab validation); 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 training and evaluating AI models.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
  • Experience with dataset curation, annotation workflows, FAISS/embedding retrieval, LLM-based parsing, RAG-style pipeline, 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: Git, reproducible experiments, modular code, deploying models in cloud (AWS/GCP) and containerized services (Docker, Kubernetes).
  • Good written and verbal communication skills and ability to work collaboratively across interdisciplinary teams.
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