Job Description
We are looking for a Research Associate in the field of signal processing, computer vision and embedded system. The selected incumbent is expected to
- To learn the various computer vision APIs and develop algorithms to extract gait parameters.
- To familiarize with the current wearable sensor embedded system platform and develop mobile phone app and algorithms that interface with it to extract gait parameters.
- Assist in the data collection and testing of the gait assessment mobile app on both healthy volunteers and patients.
- Provide support to a team of engineers in solving multi-disciplinary problems, including preparation of documentation and presentation of results.
- Conduct high-quality research and development, and to be an active member of the department.
Qualifications
- A recognised Master degree in electrical/computer engineering, computer science, physics, mathematics or related field
- Practical experience in signal processing related work is an advantage.
- Possessing knowledge and research experience in signal processing related field.
- Proven experience with programming software such as Python or Matlab.
- Able to interact with healthcare workers and patients.
- Able to plan and organize well and adhere to deadlines.
- Doing research in a multidisciplinary team.
- Open to fixed-term contract
Covid-19 Message
At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.
Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.
More Information
Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Electrical and Computer Engineering
Employee Referral Eligible: No
Job requisition ID : 17414
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