Nuance is the pioneer and leader in conversational artificial intelligence (AI) innovations that bring intelligence to everyday work and life. We deliver solutions that understand, analyze, and respond to people, amplifying human intelligence to increase productivity and improve security. With decades of both domain and AI expertise, we work with thousands of organizations across a wide range of industries.
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Nuance Communications are seeking to recruit an Early Stage Research (ESR) Fellow as part of an H2020 MSCA European Training Network “Service-Oriented Ubiquitous Network-Driven Sound (SOUNDS)”. The successful candidate will join an international cohort of ESR PhD student fellows researching key topics in audio and acoustic signal processing leading to submission of their PhD thesis after 3 years. The role is jointly supervised by Imperial College London and Fraunhofer IDMT, Oldenburg, Germany. A successful thesis will receive the PhD degree from Imperial College London.
The research project will aim to optimize the usage of audio data obtained from a distributed network of microphones in a room for an automatic speech recognition (ASR) system. Reverberation, moving sources, unknown room geometry and characteristics are some of the problems to tackle.
The role is part of a Global team in Nuance working on multi speaker and moving speaker ASR with distributed microphone networks.
Principal duties and responsibilities:
Knowledge, skills and qualifications
Candidates must hold a Master’s degree in ideally engineering (or equivalent); or Computer Science, or have a solid mathematical background (e.g. in matrix algebra) and have taken specialized courses in at least one of the following disciplines: digital signal processing, acoustics, audio signal processing. Candidates who are in the final phase of their Master program are equally encouraged to apply and should mention their expected graduation date.
Marie Skłodowska-Curie PhD Fellowship Eligibility Conditions.
Minimum years of work experience: 0
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