Real-Time AI Audio DSP Research Associate

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

Job summary

NTU Singapore's School of Electrical and Electronic Engineering is seeking a Research Fellow/Research Associate to advance AI-driven audio transcription and signal processing. The role focuses on developing new models and cross-platform implementations to enhance industry-readiness.

You will translate algorithms into efficient code, design DSP solutions for real-time systems, and collaborate across teams to deliver architecture that spans multiple co-processors.

Qualifications

• PhD (for Research Fellow) or Master (for Research Associate) in acoustic/audio and AI related field.
• At least 4 years of research experience in AI-assisted acoustic/audio systems.
• Strong programming and numeric skills with Python/Matlab/C.
• Experience embedding DSP/AI algorithms on hardware platforms.
• Excellent written and oral communication skills.
• Ability to work independently and manage project timelines.

Responsibilities

• Translate high-level audio algorithms into high-performance, architecture-specific code.
• Collaborate with researchers to design DSP algorithms for system-level constraints.
• Define and implement software architecture for real-time audio systems on prototype hardware.
• Develop AI models suited for acoustic/audio transcription and cross-disciplinary integration.

Skills

Python

MATLAB

C programming

DSP algorithms

AI model development

Acoustic/audio signal processing

Embedded systems

GPU programming

Education

PhD in acoustic/audio and AI related field

Tools

Embedded processor

GPU programming

Job description

NTU Singapore's School of Electrical and Electronic Engineering is seeking a Research Fellow/Research Associate to advance AI-driven audio transcription and signal processing. The role focuses on developing new models and cross-platform implementations to enhance industry-readiness.

You will translate algorithms into efficient code, design DSP solutions for real-time systems, and collaborate across teams to deliver architecture that spans multiple co-processors.