Phd Research Summer Intern Ai/ml & Digital Health

Johnson & Johnson MedTech

London, United Kingdom
Self-supervised learning frameworks
Multimodal wearable sensor data
Deep learning for time-series data
Johnson & Johnson is committed to building innovative healthcare solutions that prevent, treat, and cure complex diseases with smarter and less invasive treatments

Job Summary

  • Johnson & Johnson is committed to building innovative healthcare solutions that prevent, treat, and cure complex diseases with smarter and less invasive treatments.
  • The intern will design and implement self-supervised learning frameworks for wearable sensor data and develop scalable foundation models for diverse digital health applications.
  • The AI/ML and Digital Health team develops innovative analytical solutions across multiple diseases and therapeutic areas to improve health outcomes worldwide.

Matching Summary

Johnson & Johnson is committed to building innovative healthcare solutions that prevent, treat, and cure complex diseases with smarter and less invasive treatments.

Skills & Requirements

Must-have

  • Self-supervised learning frameworks
  • Multimodal wearable sensor data
  • Deep learning for time-series data
  • Python programming
  • Deep learning frameworks PyTorch or TensorFlow
  • Multimodal fusion strategies

Nice-to-have

  • Transformers and contrastive learning
  • Masked modelling techniques
  • Physiological signal processing
  • Digital biomarker discovery
  • Large-scale model training

Key Requirements

  • PhD candidate in relevant quantitative fields
  • Strong programming experience in Python
  • Experience with deep learning frameworks
  • Technical background in self-supervised learning
  • Experience with large-scale datasets

Work Rights

Not specified

Tailored Resume

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