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 Innovative Medicine Research & Development develops treatments that improve the health of people worldwide

Job Summary

  • Johnson & Johnson Innovative Medicine Research & Development develops treatments that improve the health of people worldwide.
  • The intern will work on self-supervised and multimodal representation learning to build scalable models that generalize across digital health applications such as human activity recognition, sleep staging, cardiovascular monitoring, gait analysis, and digital biomarker discovery.
  • The AI/ML and Digital health team within Johnson & Johnson Innovative Medicine Research & Development develops innovative AI/ML and analytical solutions using a variety of data sources across multiple diseases and therapeutic areas.

Matching Summary

Johnson & Johnson Innovative Medicine Research & Development develops treatments that improve the health of people worldwide.

Skills & Requirements

Must-have

  • self-supervised learning frameworks
  • multimodal wearable sensor data
  • deep learning for time-series data
  • Python programming
  • PyTorch or TensorFlow experience
  • large-scale dataset handling

Nice-to-have

  • transformers architectures
  • contrastive learning techniques
  • masked modelling methods
  • multimodal fusion strategies
  • physiological signal processing
  • digital biomarker discovery

Key Requirements

  • PhD candidate in related quantitative fields
  • strong programming experience with Python
  • experience with deep learning frameworks
  • experience working with large-scale datasets

Work Rights

Not specified

Tailored Resume

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