Responsibilities
The candidate will be responsible for conducting research on design, develop (both hardware and software), prototype and test a neuromorphic camera-based eye tracking system to monitor neuro and ocular conditions. Successful candidate will be part of an active research team led by Asst. Prof Thivya Kandappu from School of Computing and Information Systems, Singapore Management University.
- Develop a hardware prototype for multi-light event camera-based system for event volume reduction
- Develop algorithms for macro pupil response tracking.
- Design and develop system level optimisations to enable tracking on-device/edge (cater for resource limitations).
- Conduct large-scale user experiment across different age groups and ethnicity.
- Other duties as assigned.
Qualifications
- Minimum Bachelor's degree in Computer Science, Electronics and/or Biomedical Engineering, Information Technology, Information Systems or closely related disciplines from an institution of higher learning
- Prior experience as research assistant/research engineer is preferred.
- Proficiency in programming software/languages such as Python and C++, with evidence of using such languages in developing of working embedded system prototypes.
- Project-level experience in the use of signal processing algorithms on one or more of wireless/audio/ video/radar sensor data streams
- Excellent academic record with demonstrable achievements of well-executed academic projects
- Experience with the deployment and use of Deep Learning frameworks (e.g., TensorFlow or Pytorch), including the design of neural network based human activity detection models.
- Self-motivated individual who can work independently and collaboratively with team members.
