Opportunities

Open Positions

We are currently filling several positions for our SmartEEG project. The goal of the project is to develop a novel device for home sleep monitoring and intervention for individuals with sleep disorders. This device will collect data and serve as the basis for digital sleep products for personalized sleep management. Please contact the Frontier Lab director Dr. Gerwin Schalk (gs@chenfrontierlab.com) if you are interested in any of the positions below.

Scientific Project Coordinator

The scientific project coordinator will coordinate activities for the SmartEEG and other laboratory project projects. They will facilitate progress in clinical testing at Huashan hospital and provide general operational support for the laboratory. The successful candidate will have a doctoral degree (Ph.D. or M.D.), experience working with clinicians and executing or supporting scientific projects.

Signal Processing Engineer

The signal processing engineer will work with his/her colleagues in the laboratory to conceive, implement, test, and optimize new signal processing / machine learning algorithms for the SmartEEG project. These algorithms will process brain or other physiological signals (such as heart rate, motion signals, SpO2 measurements, or speech/sleeping sounds), and will be used to provide validation of data collected in the laboratory or at nearby Huashan Hospital.

Applicants must have a solid background in signal processing, in particular time series/spectral analysis, classification, and machine learning, and excellent programming expertise in Matlab. Additional desired expertise is good understanding of neuroscience, and programming in Python and C/C++.

Software Engineer

The software engineer will write software and perform system engineering for the SmartEEG project. The work will be focused mostly on designing software that can acquire and synchronize signals from different bio signal or other acquisition devices relevant to sleep (e.g., microphones, motion trackers, Apple watch biometrics). Applicants must have expertise and experience in C/C++ programming and writing real-time software that interacts with hardware devices. Additional desired expertise is in signal processing and programming in Python.

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