Real-Time AI Audio DSP Research Associate

Nanyang Technological University, Singapore (NTU Singapore); Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

NTU Singapore is seeking a Research Fellow/Research Associate to advance AI-powered audio transcription and signal processing. The role centers on creating new models and algorithms, translating high-level methods into architecture-specific code, and deploying on prototype hardware with multiple co-processors.

The candidate should have a PhD (or Master) in acoustic/audio and AI fields, with at least 4 years of research experience in AI-enabled audio and embedded/GPU programming, plus strong

Qualifications

• PhD (for Research Fellow) / Master (for Research Associate equivalent) in acoustic/audio and AI related field.
• At least 4 years of research experience in AI assisted acoustic/audio / hands-on embedded processor/GPU programming.
• Strong written and oral communication skills.
• Proficiency in building embedded systems for the AI-enabled Audio application using Python/Matlab/C.

Responsibilities

• Lead translation of high-level audio algorithms into high-performance, architecture-specific code.
• Design and implement DSP algorithms that meet system-level constraints.
• Define and implement software architecture for real-time audio systems on prototype hardware with multiple co-processors.
• Develop AI models that are efficient for acoustic/audio transcription with cross-disciplinary knowledge.

Skills

AI/Audio Processing

Python Programming

Analytical Thinking

Machine Learning

Education

PhD in acoustic/audio and AI related field

Tools

Embedded systems

GPU programming

DSP algorithms

C programming

Job description

NTU Singapore is seeking a Research Fellow/Research Associate to advance AI-powered audio transcription and signal processing. The role centers on creating new models and algorithms, translating high-level methods into architecture-specific code, and deploying on prototype hardware with multiple co-processors.

The candidate should have a PhD (or Master) in acoustic/audio and AI fields, with at least 4 years of research experience in AI-enabled audio and embedded/GPU programming, plus strong