You will work in a team to perform research and development for brain computer interfaces for stroke rehabilitation. Responsible for analysis of neural signals acquired with EEG, fMRI and fNIRS, in order to understand the physiological process underline the stroke recovery.
You are required to develop objective indications from neuron image (multi-channel time-series neural signal generated from EEG/fMRI/fNIRS) to measure the progress of brain status, so as to track neuron-connectivity towards personalized stroke rehabilitation. The research work also involved neural information extraction and pattern classification.
Requirements:
- A PhD in Electrical & Computer Engineering, Computer Science or related disciplines
- Expertise and background in neural signal processing, brain-computer interface, or neuro imaging
- Good command of signal processing, pattern recognition and machine learning.
- Strong research capabilities evidenced by research track record
- 1-3 years of working experience are preferred.
- Proficient in Matlab and prevailing neuron image analysis tools.
- Good at C/C++
- Team player with good communications skills and adaptable to work in a multicultural team environment
- Resourceful and ability to work independently with good initiative and problem solving skills is a must
- Fresh graduates are welcomed to apply