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.

Medical imaging instruments such as MRI scanners are complex dynamic systems whose non-ideal electrical and physical behavior significantly impacts image quality. This Research Internship focuses on developing models of MRI system behavior through calibration experiments, physical modeling, and data‑driven methods, with the goal of improving system characterization and control.

These models will be used to improve data acquisition strategies and image reconstruction pipelines by combining MRI physics, signal processing, and machine learning. Research Interns will work at the intersection of system modeling, calibration, and AI-driven reconstruction, contributing to next-generation imaging pipelines.

We are seeking Research Interns with backgrounds in MRI physics, signal processing, applied mathematics, or scientific machine learning who are interested in understanding and improving medical imaging instruments from the ground up.

Microsoft Health Futures is an interdisciplinary team of scientists, engineers, and medical doctors focused on developing 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.

Note that letters of recommendation are not required for this position.

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.

Qualifications Required Qualifications:

• Accepted or currently enrolled in a PhD program in Electrical Engineering, Physics, Mathematics, Applied Mathematics, Machine Learning, Statistics, Computer Science, Computational Biology or other 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.

Preferred Qualifications

• Working knowledge of MRI physics.
• Experience with MRI reconstruction techniques.
• Experience with data driven/physical modeling, physics, and signal processing.

The base pay range for this internship is USD $6,710 - $13,270 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 $8,760 - $14,360 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#healthfutures #ai #signalprocessing #biomedicalimaging #mri #research #physics #dsp #physicalmodeling #datadrivenmodels #modelbasedlearning

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.