Gen-AI Research Engineer: Edge ML & Speech Processing

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The National University of Singapore (NUS) invites applications for a Research Engineer (Gen-AI Models) in the Electrical and Computer Engineering department to join the group led by A/P Wang Xinchao. The role involves researching confidence- and similarity-based Gen-AI models from training to inference, with emphasis on real-time edge analytics.

You will contribute to dialogue and speech signal processing, ML algorithms, and the development of Automatic Speech Recognition frameworks, aiming for

Qualifications

• Bachelor or Master degree preferred and aptitude for our research.
• Strong programming skills in C/C++, Matlab or Python.
• Have prior project-related experience.
• Good team player who can work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous and able to work well under pressure to meet tight deadlines.

Responsibilities

• Contribute to Confidence- and Similarity-Based Gen-AI Models from Training to Inference.
• Contribute to On-chip Ultra-low-power Silicon systems with Gen-AI for Real-Time analytics at the edge.
• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Advance knowledge by publishing in leading journals and conferences.
• Prepare and meet project deliveries and milestones.

Skills

C/C++

Python

Matlab

Teamwork

Independent work

Writing

Interpersonal communication

Problem solving

Education

Bachelor or Master degree

Job description

A Research Engineer position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of Confidence- and Similarity-Based Gen-AI Models from Training to Inference.

The successful candidate is required to:

• Contribute to Confidence- and Similarity-Based Gen-AI Models from Training to Inference.
• Contribute to On-chip UlTra-low-power Silicon systeMs with Gen-AI for Real-Time analytics at the edge.
• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• Preferably a Bachelor or Master degree with an aptitude for our research
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.