Connectionists: Postdoctoral Research Fellow in Musical BCI available at the National University of Singapore

[Kat Agres]

POSTDOCTORAL RESEARCH POSITION AVAILABLE
The YST Conservatory of Music at the National University of Singapore
(NUS), a world-class, top-ranked university, is seeking a full-time
Postdoctoral Research Fellow in Musical Brain Computer Interface (BCI)
technology.

*Job description*
The Research Fellow (RF) will engage in research and development of a
music-based Brain Computer Interface (BCI) system for emotion regulation in
listeners. She/he will work in a multi-disciplinary team with both
technical and clinical scientists to help develop 1) machine learning
algorithms, 2) an automatic music generation system for affective music
generation, and 3) a Brain-Computer Interface system for emotion mediation
to be tested in healthy as well as neurological and mental health patients.
The RF will help design and manage user tests and clinical trials, help
coordinate research activities and supervise research staff/students in the
team, and perform data analyses. The RF will need to be capable of working
both independently and in a team, of developing innovative solutions, and
of publishing research findings in high-impact conferences and journals.
This position is part of a large-scale, 4-year project that aims to create
a holistic BCI solution for the restoration and enhancement of brain
functions.

*Responsibilities*
• Develop novel algorithms for BCI systems for emotion mediation.
• Design solutions for music and BCI-driven therapy for mental health
(depression, anxiety).
• Co-develop automatic music generation algorithms.
• Design and develop experiment interfaces, conduct pilot trials and help
with clinical integration.
• Data analysis and interpretability of the patients’ neural signals.
• Prepare manuscripts and publish in high-impact journals and conferences.
• Assist in supervising research staff and students.
• Participate in IRB applications and report writing.

*Requirements*
Successful candidates will have:
• Ph.D. in Computer Science & Engineering, Electrical Engineering, or
related disciplines
• Experience in Brain-Computer Interface and machine learning is required
• Strong analytical and programming skills
• Knowledge of music
• Strong publication track record
• Strong ability to work independently and in teams
• Experience with algorithmic music or automatic music generation a plus
• Computational neuroscience and neuroimaging experience a plus

*Key details*
• Position available immediately
• 3-year contract extendable for 1 year
• Competitive salary and benefits
• The candidate must be based in, or be able to relocate to, Singapore

For best consideration, applications should be received by *1 December 2020*
.

For enquiries and expressions of interest in the position, please
contact Asst. Prof. Kat Agres at katagres at nus.edu.sg


-- 
*Kat Agres, Ph.D.*
*Assistant Professor, National University of Singapore (NUS)*
*Yong Siew Toh Conservatory of Music*
3 Conservatory Drive, Singapore 117376 | Tel: (65) 6601 2956
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