Research Intern - Biomedical Signal Processing

3 Months ago • Upto 1 Years • Research & Development • $78,600 PA - $154,560 PA

Job Summary

Job Description

Microsoft Research is seeking a Research Intern to contribute to their Health Futures group. The intern will work at the intersection of biomedical signal processing and machine learning, focusing on improving the transformation of raw clinical signals (e.g., from MRI and CT scans) into clinically usable images. Responsibilities involve working on AI-driven techniques for solving inverse problems in medical image reconstruction with limited data. The internship is a 12-week program in Redmond, Washington, involving collaboration with researchers, presentations, and contributions to the research community. The intern will gain practical experience in a leading-edge research environment, applying theoretical knowledge to real-world challenges in healthcare.
Must have:
  • PhD enrollment (Biomedical Engineering, Electrical Engineering, Computer Science, Mathematics, or related field)
  • On-site work in Redmond, WA
  • Experience with medical image reconstruction or related field
  • Proficiency in Python programming
  • Understanding of medical imaging physics (e.g., MRI)
  • AI/ML experience for computer vision or inverse problems
Perks:
  • Industry leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Job Details

Overview

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

We are seeking Research Interns to work at the intersection of biomedical signal processing and machine learning (ML).

 

Clinical instruments such as magnetic resonance imaging (MRI) and computed tomography (CT) scanners produce vast amounts of raw signal, which is transformed into images and other artifacts for clinical interpretation. Our team is exploring the role that artificial intelligence (AI) might play in this transformation of raw signal. For example, we work on techniques that allow us to solve inverse problems (such as medical image reconstruction) with less data.

 

This position is within the Microsoft Health Futures group at Microsoft Research in Redmond (USA). Health Futures is responsible for research, incubation, product engineering and strategic partnerships that drive cross-company strategy, as well as value creation in the health and life sciences. We are an interdisciplinary team of researchers, scientists, engineers, biotechnologists, designers, social scientists, strategists, healthcare experts and medical professionals who endeavor to develop next-generation methods and tools for health and healthcare. We offer a unique vibrant environment that features cutting-edge academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations among all three, much like a lean startup. Our mission is to empower every person on the planet to live a healthier future.

Qualifications

Required Qualifications

  • Currently enrolled in a PhD program in Biomedical Engineering, Electrical Engineering, Computer Science, Mathematics or a related field.

Other Requirements

  • Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
  • In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. 

Preferred Qualifications

  • Experience working with medical image reconstruction.
  • Working understanding of the physics of at least one medical imaging modality, e.g. MRI.
  • Python programming experience.
  • Experience with AI/ML for computer vision and/or inverse problems.

The base pay range for this internship is USD $6,550 - $12,880 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,480 - $13,920 per month.

 

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 

 

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

 

Responsibilities

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

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

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