Research Intern - Brain-Computer Interfaces

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.

Brain-Computer Interfaces Research Project

The Brain-Computer Interfaces (BCI) project at Microsoft Research (MSR) aims to make BCI technology practical and accessible for the general population. The team develops noninvasive approaches that use fewer electrodes and custom signal-acquisition devices to improve usability. Its work focuses on interactive BCI systems that use electroencephalographic (EEG) and other biosignals to respond within seconds.

This effort brings together researchers from several groups across Microsoft Research. Learn more about the project, its research areas, and its publications at: https://www.microsoft.com/en-us/research/project/brain-computer-interfaces/.

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.

Additional Responsibilities

Required Qualifications

• Currently enrolled in a Doctorate Degree program in Computer Science or a related STEM field.
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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. 

  • To upload a research statement/reference letter as a part of your application, please navigate to the Action Center in your Careers Profile. You can upload other documents under the “Resume Manager” tab in the top right.  

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Preferred Qualifications

• 1+ year(s) experience with brain-computer interfaces and processing EEG or other biological signals.
• Experience applying AI and machine learning to process EEG, biosignals, and related sensor data.
• Experience implementing algorithms in practical systems.
• Hands-on system design and implementation skills, including experience with real-time data processing.
• Coding skills in Python, or C/C++, or MATLAB.

The base pay range for this internship is USD $6,810 - $13,480 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 $8,920 - $14,610 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

Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar (September - April).

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.