Cambridge Internship Opportunities – Multimodal Deep Learning for Healthcar

at  Microsoft

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 research interns 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 an intern within our team, you will have the opportunity to:

• Deepen your expertise in multimodal deep learning and contribute to our ambitious research agenda
• Conduct experimentation with world-class computational resources
• Learn in a team with a strong culture of collaboration and rigorous research

REQUIRED/MINIMUM QUALIFICATIONS:

• Currently enrolled in a PhD program in areas such as computer science (e.g. machine learning, deep learning, signal processing), computational biology, biophysics, medicine
• Prior experience with deep learning frameworks (e.g., PyTorch) and some familiarity with software engineering practices (e.g. git)
• Passion for healthcare and medicine
• Ability to work and learn in a collaborative and diverse environment

PREFERRED/ADDITIONAL QUALIFICATIONS:

Expertise in or enthusiasm for any of the following topics:
Representation learning including self-supervised learning, multimodal learning
Interpretability methods for deep learning (e.g. mechanistic interpretability, explainable AI)
Design, training, or evaluation of large multimodal transformers
Biomedical imaging such as radiology, computational pathology
Biomarker discovery (broadly interpreted)
Large language models for healthcare and medicine
Experience with real-world healthcare data
Track record of publication in conferences or journals within machine learning and/or healthcare
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

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

• Co-development of an internship project in collaboration with the supervisor
• Design, implementation and evaluation of new machine learning methods and models
• Presentation and communication of research findings