Research Fellow (Computer Science)

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow.

Key Responsibilities:

Preprocess real brain imaging data for further analytical tasks;

Perform literature review and background study on graph analytics for brain network analysis;

Design novel and effective Data Mining & Machine Learning techniques (e.g., GNN-based models) for brain network analysis, develop/implement prototypes of the solutions, and validate their effectiveness empirically;

Publish the research work in top-tier research venues.

Job Requirements:

Possess PhD degree in Computer Science, or a related discipline with a focus on Machine Learning, Data Mining, or Statistics.

Experiences in designing and developing graph analytics and/or brain network analysis technologies, in particular in GNN models.

Good programming skills in e.g., Python, Matlab, C++, etc.

Good interpersonal skills.

Excellent teamwork awareness.

Good communication and writing in English.

Strong research experience will be a plus.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

R00010860