As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.
The primary responsibility of this role is to deliver on a research project in the area of Brain Computer Interface funded by the Ministry of Education where you will be a key member of the research team to develop a Non-Invasive Closed-loop Brain Computer Interface for Decoding and Control of Motor Imagery Kinematics.
Key Responsibilities:
- Actively participate in the execution of the research project with the Principal Investigator (PI) to ensure all project deliverables are met.
- Support the development of novel signal processing and machine learning methods for Brain Computer Interface (BCI)-based Neurofeedback system for cognitive enhancement of military personnel.
- Development of real-time Electroencephalogram (EEG) data processing architecture and associated Software.
- Development of the experimental paradigm and graphical user interface.
- Conducting BCI studies on healthy subjects as well as military personnel at DSO Labs.
- Publish research findings in reputable journals and present at conferences and workshops.
- Work independently to ensure that project deliverables are met.
Job Requirements:
- Ph.D. in Computer Engineering/Electronics Engineering/Electrical Engineering areas.
- A minimum of TWO years of Postdoctoral research experience in a reputed University in the area of Brain Computer Interface Systems, specializing in Electroencephalogram (EEG) signal processing and machine learning.
- Research experience in developing, testing and validating EEG-BCI-based neurofeedback games in patients is highly desirable.
- Good record of research publications (at least 2 top-tier Journal papers).
- Proficiency in MATLAB.
- Strong analytical and problem-solving skills, with the ability to critically evaluate and interpret research data.
- Excellent written and verbal communication skills, with the ability to publish research findings in top-tier journals and present papers at conferences.
- Ability to work both independently and collaboratively in a research team environment.
Key Competencies:
- Able to build and maintain strong working relationships with people within The University and external collaborators.
- Responsible conduct of research with ownership and integrity.
- Proficient in technical writing and presentation.
- Possess strong analytical and critical thinking skills.
- Prepare and validate data collection instruments.