Microsoft Research's Brain-Computer Interfaces (BCI) project aims to make BCI accessible to the general population by developing non-intrusive methods, using fewer electrodes, and designing custom signal acquisition devices for interactive BCI.
Requirements
- At least one year of experience with brain-computer interfaces and signal processing of EEG or other biological signals.
- Experience with AI and machine learning for signal processing of EEG, bio-signals, and related sensor data is strongly preferred.
- Experience applying algorithms in practical systems is a significant plus.
- Hands-on design and system implementation skills, including real-time data processing, are highly valued.
- Strong coding skills preferred in MATLAB, Python, or C/C++.
Responsibilities
- Developing non-intrusive methods, using fewer electrodes, and designing custom signal acquisition devices.
- Focus on interactive BCI, which requires response times within seconds and relies on EEG and other bio-signals.
- Collaborate with other Research Interns and researchers.
- Present findings.
- Contribute to the vibrant life of the community.
- Work on well-defined projects that encourage open exploration and collaboration, guided by dedicated mentors.
- Ideally, results in a peer-reviewed scientific publication.
Other
- Currently enrolled in a PhD program in Computer Science or a related STEM field.
- 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.
- 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
