Microsoft Cambridge Residency Programme Postdoctoral Researcher 

United Kingdom, England, Cambridge 

308110322

We focus on the development of models that can process raw medical instrument signals and improve diagnostic measurements and biomarker extraction. As a postdoctoral researcher within our team, you will have the opportunity to:

• Deepen your expertise in biomedical image reconstruction and AI.
• Explore multi-modal models for digital signal processing.
• Conduct experimentation with world-class computational resources.
• Grow in a team with a strong culture of collaboration and rigorous research.

Required/Minimum Qualifications:

• PhD degree (or on-track to complete), or equivalent expertise in independent research, in areas such as computer science (e.g. machine learning, deep learning, signal processing), electrical engineering, computational biology, medicine.
• Prior experience with deep learning frameworks (e.g., PyTorch) and software engineering practices (e.g. git).
• Passion for healthcare and medicine.
• Ability to work and learn in a collaborativeand diverse environment.

Preferred/Additional Qualifications:

• Expertise in any of the following topics:
  • Experience with digital signal processing and/or medical image reconstruction.
  • Design and evaluation of large multimodal transformers.
  • Biomarker discovery (broadly interpreted).
• Experience with real-world healthcare data
• Track record of publication in top conferences or journals, such as: NeurIPS, ICML, ICLR, CVPR, EMNLP, Nature (and affiliated, e.g. NPJ Digital Health), JAMA, Radiology AI, Lancet Digital Health etc.

The ideal candidate will have strong intellectual curiosity and passion to solve real-world problems in healthcare using machine learning. Responsibilities will include:

• Design, implement, evaluate and deploy new machine learning methods and models.
• Share your research with the broader research community through publication or open sourcing.
• Collaborate with clinical experts and across Microsoft Research.
• Work as part of a team to advance our ambitious research agenda.