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NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Psychology%29/32323-en_GB/
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Support a project on closed-loop prediction of voluntary action and pain withdrawal by programming and debugging BCI pipelines, integrating EEG/EMG/thermal stimulation systems, running experiments, analysing data, and preparing technical reports, presentations, and manuscripts.
Bachelor's degree in computer science, engineering, neuroscience, psychology, or a related field. Strong programming skills required ability to program in Python and C/C++ is a major advantage. Prior experience with EEG, brain-computer interfaces, signal processing, or real-time classification pipelines is highly desirable. Familiarity with advanced statistical analysis and the ability to translate analysis into clear presentations and written reports is required. Experience with tools such as OpenViBE, MNE, PyRiemann, MATLAB, or related frameworks would be advantageous. Strong debugging skills, attention to detail, and the ability to work independently in an interdisciplinary research environment are essential.
Job ID: 145394467