Research Fellow (Acoustic and Audio processing)

NANYANG TECHNOLOGICAL UNIVERSITY

Singapore
Not specified (assumed to be hybrid or onsite based on academic setting)
Phd in acoustic measurements or related field
3+ years hands-on research experience
Proficiency in python, labview, and c programming
Nanyang Technological University (NTU) is seeking a Research Fellow in Acoustic and Audio Processing for its Smart Nation TRANS Lab, focusing on AI research for active noise control. The role requires expertise in acoustic signal processing and edge AI, along with responsibilities including data collection, AI coding, and real-time implementation

Job Summary

  • The role focuses on conducting comprehensive acoustic measurements and building datasets for AI supervision within the Smart Nation TRANS Lab.
  • Candidates must integrate signal processing into physics-informed AI models and optimize them for real-time deployment on edge hardware.
  • The successful applicant will validate feasibility through experiments and publish research findings while collaborating with industry stakeholders.

Matching Summary

Match Score: 85

Nanyang Technological University (NTU) is seeking a Research Fellow in Acoustic and Audio Processing for its Smart Nation TRANS Lab, focusing on AI research for active noise control. The role requires expertise in acoustic signal processing and edge AI, along with responsibilities including data collection, AI coding, and real-time implementation.

Skills & Requirements

Must-have

  • PhD in acoustic measurements or related field
  • 3+ years hands-on research experience
  • Proficiency in Python, LabVIEW, and C programming
  • Experience with ISO/ITU standards
  • Skills in acoustic signal processing and data collection

Nice-to-have

  • Ability to translate research into proof-of-concept prototypes
  • Strong communication and stakeholder collaboration skills
  • Competence in visualization tools
  • Experience with physics-informed AI models
  • Track record of publishing research findings

Key Requirements

  • PhD degree required
  • Minimum 3 years research experience
  • Familiarity with ISO/ITU standards
  • Proficiency in Python, LabVIEW, and C
  • Acoustic measurement and analysis expertise

Work Rights

Not specified

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