We are looking for passionate Ph.D. students and will provide the students with 4-year full scholarship.
The candidates must have a strong background in computer science or electrical and computer engineering.
The research areas include brain-computer interfaces (BCI), image analytics, machine learning, data analytics, and artificial intelligence.
We are looking for passionate candidates as Research Associates (a master's degree is required), Project officers (with a bachelor's degree), or Research assistants (with a master's or bachelor's degree) in the areas of brain-computer interface, machine learning, artificial intelligence, and data analytics.
The applicants should have a first degree in computer science or electrical and computer engineering. The candidate must have a strong background and experience in software programming. The candidate must be proficient in Python and/or C/C++. Good knowledge of machine learning and signal processing is required. Excellent communication skills are critical. Strong teamwork is required. Experience in EEG signal processing and/or game development is a strong plus.
We are accepting applications for the research fellow/postdoctoral fellow positions.
The research is on advanced machine learning algorithms, especially deep learning, for Brain-Computer Interfaces.
The focus of this position includes understanding neural mechanisms of the brain's motor, cognitive, or affective process and developing effective machine learning and signal processing algorithms.
The work will also focus on developing new strategies for emerging BCI research questions and novel applications.
The successful applicant will need a Ph.D. in Computer Science & Engineering, Electrical Engineering, or related disciplines. Experience in EEG signal processing and deep learning is a must. A strong publication track record is required. Strong analytical, programming and communications skills are required. The work scope will also include manuscript writing, participation in grant applications, and presentation of findings at conferences.
For students’ information:
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