PhD Research Summer Intern AI/ML & Digital Health
GB006 High Wycombe, United Kingdom
GBP 27K-27K (estimate) Entry-level Full Time Internship
Tasks
- Apply contrastive learning and masked modeling
- Design self supervised learning frameworks for wearable time series data
- Develop transformer based multimodal architectures
- Evaluate representations on downstream digital health tasks
- Integrate heterogeneous sensors using multimodal fusion
- Perform cross modal attention
- Produce reproducible research with publications and well documented code
- Train foundation models on multimodal unlabeled sensor datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Contrastive Learning | Cross-modal attention | Deep learning | Digital Health | Machine Learning | Masked Modeling | Multimodal Machine Learning | Multimodal fusion | Physiological signal processing | PyTorch | Python | Self-Supervised Learning | Self-supervised | Sensor data | Series analysis | Signal Processing | Supervised Learning | TensorFlow | Time Series | Time Series Analysis | Transformers | Wearable Sensor Data
Education
Roles
Intern | Machine Learning Researcher | Research Intern | Researcher
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