Research Fellow

Job Title: Postdoc Research Fellow in EEG signal analysis and explainable AI

We are seeking a highly motivated and skilled Postdoc Research Fellow to join our multi-disciplinary team working on a project aimed at early identification and treatment of children with autism spectrum disorder (ASD) and potentially with other developmental disorders. The successful candidate will have a strong background in EEG signal analysis and explainable AI, and will work closely with our team of experts in medicine, psychology, advanced sensing and computing, and artificial intelligence domains.

Responsibilities:

Develop and implement signal processing and machine learning methodology for the analysis of EEG signals and other multimodal data from our neurophysiology-behavioral assessment device.

Build computational models for the distinctive processes of neurophysiology-behavioral activities under various stimuli and task conditions.

Develop a model-agnostic method for interpreting black box models and explaining individual predictions.

Collaborate with the team to explore the utility of these models for ASD assessment/intervention.

Requirements:

PhD in computer science, electrical engineering, or a related field with a strong focus on AI and signal processing.

Strong experience in analyzing EEG signals and building machine learning models for neurophysiology-behavioral activities.

Expertise in explainable AI, including feature importance and local interpretability methods such as Shapley values and LIME.

Strong programming skills in Python and experience with relevant AI and signal processing libraries.

Ability to work independently as well as in a team.

This is a full-time, in-campus position, and offers a competitive salary and benefits package. The successful candidate will have the opportunity to work on a cutting-edge project aimed at improving the lives of children with ASD and potentially with other developmental disorders. If you are passionate about AI and neuroscience, and want to make a difference in the world through design, please send your CV and cover letter to Assistant Professor CHEONG Kang Hao kanghao_cheong@sutd.edu.sg. Only shortlisted candidates will be contacted.