Postdoctoral Fellow, Deep Learning and Audio

6 days left

30 Dec 2021
End of advertisement period
29 Jan 2022
Contract Type
Fixed Term
Full Time

The successful application is expected undertake the following key responsibilities:

  • Conduct research on building neural networks models for learning audio generation under parametric control and interaction
  • Activates will also include working with a small team of computational modelers, bringing relevant literature to bear
  • Developing new algorithms and implementing deep learning models, and writing
  • Publications for journals and conferences

The advertised position is full-time for twelve month, based in Singapore.

Applications reviewed from July 15th, 2021 until position is filled.

Required documents

  • Cover letter with a statement of interest
  • Full CV, including education, professional background, publications, research activities and achievements, honours and awards, and accomplishments to date
  • A research statement (max. 3 pages) highlighting major accomplishments and short and longer-term research plans, citing up to three significant publications, creative works or other scholarly contributions, and explaining their significance
  • Sample copies of research publications, if available
  • Pointers to any on-line material such as code or applications that are relevant
  • Four letters of reference (including one from the applicant’s PhD or post-doctoral advisor/supervisor) to be arranged by the applicant to be submitted directly by the referees at

Competencies and Qualifications

We seek applicants with expertise in one or more of the following areas:

  • Computational statistics and machine/deep learning
  • AI platform fluency (Python, Pytorch, Tensorflow)
  • Audio and/or speech signal processing and synthesis
  • Publications in AI, NN, Sound, Speech, or Music journals and conferences
  • For this post-doctoral position, an emerging track record of research publications, ambitious research goals, strong coding skills, and familiarity with computational audio or musical experience would all be relevant

More Information

Location: Kent Ridge
Organization: National University of Singapore
Department : Communications and New Media, FASS

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