Postdoctoral Fellow (Deep Learning and Audio)

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 [email protected]

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

Location: Kent Ridge

Organization: National University of Singapore

Department : Communications and New Media, FASS

At NUS, the health and safety of our staff and students is one of our utmost priorities and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require significant amount of physical interactions with student / staff / public members. Even for job roles that can be performed remotely, there will be instances where on-campus presence is required.

With effect from 15 January 2022, based on Singapore’s legal requirements, unvaccinated workers will not be able work at the NUS premises. As such, we regret to inform that job applicants need to be fully COVID-19 vaccinated for successful employment with NUS. [1]

[1]  MOM Updated advisory on COVID-vaccination at the Workplace , subject to changes in accordance with the national COVID-19 measures