Postdoctoral Fellow, Deep Learning and Audio
- Employer
- NATIONAL UNIVERSITY OF SINGAPORE
- Location
- Singapore
- Closing date
- 29 Jan 2022
View more
- Academic Discipline
- Computer Science, Engineering & Technology, Mathematics & Statistics, Physical Sciences
- Job Type
- Academic Posts, Postdocs
- Contract Type
- Fixed Term
- Hours
- Full Time
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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 lonce.wyse@nus.edu.sg
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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