The Complex Systems Science Group at the College of Science, School of Physical and Mathematical Sciences, led by A/Prof Cheong Kang Hao, is looking for passionate individuals to join its interdisciplinary research team as a Research Fellow.
Despite advocacy for early detection and screening in Autistic Spectrum Disorders (ASD), there remains a significant gap between service need and current technology and implementation. This project aims to bridge this gap by developing a novel multimodal neurophysiology-behavioral assessment device for studying ASD in early childhood. Our goal is to integrate multiple virtual and real-life stimuli and task designs with a multi-modality sensor array, including electroencephalogram (EEG), functional near-infrared spectroscopy (fNIRS), eye-tracking, facial expression and behavior tracking, among others. In response, we are seeking to hire a Research Fellow (AI Scientist) to support us in developing advanced AI techniques for data integration and real-time analysis, designing novel assessment protocols, and ensuring the seamless implementation of this innovative device for early ASD detection and assessment.
Key Responsibilities:
- Conduct cutting-edge research in the development of AI techniques for integrating multimodal data (EEG, fNIRS, eye-tracking, etc.).
- Design and implement novel assessment designs and stimuli for early childhood ASD studies.
- Develop and test AI-driven models for real-time data analysis and interpretation.
- Collaborate with interdisciplinary teams, including neuroscientists, engineers, and clinical experts.
- Publish research findings in high-impact journals and present at conferences.
Job Requirements:
- PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Mathematical Sciences, Informatics, Neuroscience, or related fields.
- Strong background in AI, deep learning, and data analytics.
- Experience with multimodal data integration and analysis
- Proficiency in programming languages such as Python, MATLAB, or R.
- Experience with signal processing and statistical analysis.
- Knowledge of neurophysiological assessment techniques and behavioral analysis.
- Strong publication record.
- Excellent problem-solving skills and ability to work independently and collaboratively.
- Effective communication skills for interdisciplinary collaboration and dissemination of research findings.
We regret to inform that only shortlisted candidates will be notified.
