Cambridge Residency Programme: Postdoctoral Researcher - Deep Learning for Inverse Problems

Cambridge, Cambridgeshire, United Kingdom

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Date posted
Jan 07, 2025
Job number
1799311
Work site
Up to 50% work from home
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Research Sciences
Employment type
Post Doc Research

Overview

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

 

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.

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), 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 collaborative and 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.

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, 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.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

Microsoft is an equal opportunity employer. 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.