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Generative Audio Research Fellow for Immersive Sound

UNIVERSITY OF SURREY

United Kingdom

On-site

GBP 40,000 - 60,000

Full time

Today
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Job summary

A prestigious university in the United Kingdom is looking for a Research Fellow to advance research in generative audio AI technology applicable in immersive and interactive environments. Your role will involve investigating sound design and contributing to significant academic publications and demos, leveraging your programming knowledge and expertise in machine learning. The position offers a supportive research environment and opportunities for relocation assistance. You will need a PhD in a technical subject and proven experience in audio machine learning.

Benefits

Generous remuneration
Relocation assistance
Excellent research environment
State-of-the-art laboratories
Staff development opportunities

Qualifications

  • PhD level qualification in a technical subject.
  • Expertise in machine learning for audio, including speech, music, and ambient sound generation.
  • Research publications in areas like generative AI and signal processing.
  • Strong communication skills for documentation and stakeholder reporting.
  • Strong programming skills in Python for ML and audio software.

Responsibilities

  • Investigate generative audio AI for immersive experience production.
  • Contribute to academic publications and practical demonstrations in technology.
  • Collaborate across technical and creative disciplines.
Job description
A prestigious university in the United Kingdom is looking for a Research Fellow to advance research in generative audio AI technology applicable in immersive and interactive environments. Your role will involve investigating sound design and contributing to significant academic publications and demos, leveraging your programming knowledge and expertise in machine learning. The position offers a supportive research environment and opportunities for relocation assistance. You will need a PhD in a technical subject and proven experience in audio machine learning.
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