Research Associate (Acoustic and Audio processing)

The Smart Nation TRANS Lab @ School of Electrical and Electonic Engineering, NTU is about innovation and using technology to improve lives, create economic opportunity, and societal value for Singapore. Our vision is to become a leading centre of excellence for translational R&D in areas such as information and communication engineering. School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects. Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Our lab is seeking to hire a responsible researcher who can carry out latest AI research for active noise control. We are looking for a meticulous researcher who is familiar with acoustic signal processing and edge AI and able to translate research results into proof-of-concept prototypes that can be showcase to the industry. His/her role will focus on acoustic measurements, data collection, AI coding and real-time implementation. Key Responsibilities: • To conduct comprehensive acoustic measurements, build datasets for AI supervision • Integrate signal processing into physics-informed AI models • Optimize and deploy them on edge hardware for real-time processing • Validate their feasibility through experiments, and publish the research findings. Job Requirements: • A Master’s in acoustic signal processing or a related field • At least 3 years of hands-on research experience, familiarity with ISO/ITU standards • Strong communication skills, proficiency in Python, acoustic measurement and analysis, competence in visualization, LabVIEW and C programming • Ability to work independently, manage tight timelines, collaborate effectively, and build rapport with stakeholders. We regret to inform you that only shortlisted candidates will be notified.