Postdoc fellow on music generation with emotion - opening

Our team at Singapore University of Technology and Design (SUTD) is looking for a postdoc fellow in automatic music generation. You will be joining our team in music/audio/vision AI supervised by Prof. Dorien Herremans, Prof. Gemma Roig and Prof. Kat Agres. More information on the music/audio team here.

You will be working on a 3 year project called ''aiMuVi: AI Music generated from Videos", which focuses on automatically generating music by specifying the emotion/tension throughout the musical piece so that it matches the emotion content extracted from videos.

Required skillset:
- experience in MIR
- experience in music generation systems
- knowledgeable in deep neural networks
- savy programmer with experience in MIDI/web architectures/NN
- creative problem solver
- strong academic writing skills
- PhD in computer science, MIR, neural networks, or related

The ideal candidate has experience working with music generation and is willing to work with our PhD students in the lab to leverage individual efforts into a combined system.

Please email your application, including your cv, 2-3 first author publications, and a reference letter, to dorien_herremans [ad] with subject [application MOE postdoc]. Ideal start date is July 1st.

We encourage traditionally underrepresented groups, such as minorities and women, to apply.