Postdoctoral Research Fellow in Connectome Analysis using functional MRI and DTI scans

School of Computer Science and Engineering
Nanyang Technological University, Singapore

A postdoctoral research fellow position is available in brain image analysis in the Biomedical Computing Group headed by Professor Jagath Rajapakse, Nanyang Technological University, Singapore, for a period of three years.

• The candidate will build upon recent research on encoding and decoding the functional and structural connectome by using deep neural networks.
• Encoding learns compact representations of the connectome, leading to disease classification, subtype identification, etc., and decoding is aimed at identifying key brain regions and connections implicated in brain diseases.
• The candidate will investigate recent Graph Neural Networks such as GCN, GraphSAGE, and GAT for connectome analysis from fMRI and DTI scans.
• A key challenge to deep learning approaches of modelling the connectome is the lack of large imaging datasets.

Reference:
S. Gupta, Y. H. Chen, and J. C. Rajapakse, “Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot,” Neurocomputing, January, 2021.
DOI: 10.1016/j.neucom.2020.04.152

The candidate would have expertise and skills in image analysis, machine learning, and Python/R programming, and a PhD in a related field. Salary is S$6000-7000, depending on experience. Interested candidates are to email their CV to asjagath at ntu.edu.sg.

Professor Jagath Rajapakse

https://personal.ntu.edu.sg/asjagath/