About the role
The JiVa Band reads optical, electrical and motion signals around the clock. Turning them into numbers a nurse can trust is applied research: filtering, validation against reference devices, and honest measurement of where the algorithms fail.
This is an unpaid, part-time research internship for students and recent graduates. You take a defined question, work on it with our engineers and clinical advisers, and your name goes on what you produce. Several places are open, and strong interns are first in line when we hire for the team.
What you will do
- Signal qualityCharacterise noise and motion artefacts in band recordings and test filtering approaches against them.
- Algorithm studiesImplement and compare published methods for heart rate, blood oxygen or arrhythmia detection on our data.
- ValidationDesign and run comparisons against clinical-grade reference devices and report the results plainly, including the failures.
- Write-upDocument methods and findings so an engineer can ship them and a clinician can question them.
What we are looking for
- Studying or recently graduated in biomedical, electrical or computer engineering, physics, statistics or a related field.
- Comfortable in Python with NumPy, SciPy or similar, and able to read a signal-processing paper and reproduce it.
- Curious, careful and honest about negative results.
- Able to commit around ten to fifteen hours a week for three to six months.
- Time in the Nairobi lab for device testing is welcome but not required.
Remote, working with the Nairobi team. Unpaid, part-time, three to six months, flexible around your studies. We credit you by name on anything you contribute to and give a reference at the end.
Send your application to careers@jivalabs.org
Biosignal Research Intern - NairobiAttach your CV and include everything below in the body of the email. An application with a requirement missing is not reviewed.
- CVAttach your CV to the email.
- What you want to work onA short paragraph on which signal problem interests you and why.
- Something you builtA link to code, a course project or a thesis, with your personal contribution explained.
- AvailabilityHours per week, earliest start date and where you are based.