🚀 Internship Opportunities u2013 Multimodal Deep Learning for Healthcare u2013 Microsoft Research

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 (such as MAIRA ( ) for problems in healthcare and biomedical discovery.

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

**Responsibilities**

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

**Qualifications**

**Required/Minimum Qualifications:**
Currently enrolled in a PhD program in areas such as computer science (e.g. machine learning, deep learning, signal processing), medical imaging, computational biology, 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
Experience with real-world healthcare data.
Ability to work and learn in a collaborative and diverse environment **Preferred/Additional Qualifications:**
Representation learning self-supervised learning, unimodal or multimodal learning
Expertise in or enthusiasm for **any** **of the following topics** :
Interpretability methods for deep learning (e.g. mechanistic interpretability, intrinsically interpretable methods, representation engineering, circuit discovery or rule extraction)
Design, training, or evaluation of large unimodal or multimodal transformers
Biomedical imaging such as radiology, computational histopathology
Computational biology including -omics, bioinformatics, when coupled with deep learning
Clinical data integration or multimodal fusion
Large language models for healthcare and medicine, biomedical natural language processing, post-training of LLMs/RLAIF
AI for scientific discovery, including hypothesis generation, biomarker discovery
Causal machine learning
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 ( .