Research Specialist
Core
Developing modular, acquisition-aware AI foundation models for brain diseases and applying AI/ML methods to particle physics and large-scale detector data.
Role type
Research Specialist (AI/ML & Physics)
Builds
Multimodal AI foundation models, data pipelines, and reproducible research outputs for brain health and particle physics.
Domain
Artificial Intelligence / Machine Learning, Particle Physics, Biomedical Imaging
Deliverable
production ML models
Required skills
Deep learning framework development (PyTorch), self-supervised learning, knowledge distillation, multimodal data curation and harmonization, zero-shot/few-shot transfer learning, high-performance/GPU computing, version control and containerization
Preferred skills
Medical physics or biomedical imaging research background, neuroimaging data preprocessing experience, particle physics or large-scale scientific data analysis experience, foundation model and transfer learning expertise
Technologies
PyTorch, MRI, PET, EEG, ADNI, OASIS-3, NACC, BSNIP
Responsibilities
Design and train foundation-model components (encoders, fusion, prediction heads); curate and harmonize multimodal brain-imaging datasets; run benchmarking and cross-condition transfer experiments; develop AI/ML methods for particle physics and detector data analysis; transfer modeling approaches between physics and brain-health domains; mentor students in AI/ML and reproducible research practices.
Seniority
Junior to Mid-level, hands-on IC
