Cambridge Residency Programme – Postdoctoral Researcher – Multimodal Deep Learning for Healthcare – Microsoft Research

Cambridge, England, United Kingdom

12/10/2024

Microsoft Research Health Futures UK conducts world-class research at the intersection of AI and healthcare, drawing on deep expertise in biomedical imaging and multimodal deep learning. We are seeking a motivated postdoctoral researcher to join our vibrant team of researchers and engineers.

We Focus On The Development And Understanding Of Large Multimodal Models For Healthcare, As Exemplified By Our Work In Project MAIRA. As a Postdoctoral Researcher Within Our Team, You Will Have The Opportunity To

• Deepen your expertise in multimodal deep learning by developing an ambitious research agenda
• Conduct experimentation with world-class computational resources
• Grow in a team with a strong culture of collaboration and rigorous research
  
  

Responsibilities

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 and evaluate 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
  
  

Qualifications

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), 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 collaborative
  
  

and diverse environment

Other Requirements: 

Preferred/Additional Qualifications

• Expertise in any of the following topics:
• Interpretability methods for deep learning (e.g. mechanistic interpretability, explainable AI)
• Design and evaluation of large multimodal transformers
• Genetics, e.g. genomics, transcriptomics
• Computational pathology
• Radiology
• 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
  
  

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.