The Prof. Sunil Kumar’s Research Group in the Division of Engineering at the company seeks to recruit a Research Assistant to develop AI-enabled healthcare applications. This full-time position is located on-site in Abu Dhabi, United Arab Emirates.
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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 twins, including 3D model learning, prediction models from imaging and molecular data, and model-based simulation coupling with 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 various 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.
Application Requirements:
For consideration, applicants need to submit:
- A cover letter
- Curriculum vitae with a full publication list
- Statement of research interests
- Transcript
- Three letters of reference, all in PDF format.
Language Requirements: Good written and verbal communication skills are necessary. For any questions, please email Prof. Prabodh Panindre at [email protected].
Additional Information:
- 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.
The company is committed to non-discrimination and equal opportunity, welcoming applicants from diverse backgrounds.
