Edge AI for Multi-modal Human-Robot Interaction

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 40,000 - 62,000; Full time

Job summary

National University of Singapore's Augmented Human Lab, within the Smart Systems Institute, seeks a Research Assistant skilled in Machine Learning, AI, and multi-modal interaction to develop context-aware small language models for a human-robot interaction system.

The role involves developing, testing, and deploying ML models, and collaborating with researchers and industry partners to advance human-robot interfaces and interactions.

Qualifications

• Bachelor's or Master's degree in Computer Science or related field from a reputed university.
• Experience with ML/AI development and multi-modal interaction is preferred.
• Strong programming experience across multiple languages and toolchains, with ability to deploy ML models to edge devices.

Responsibilities

• Collect data requirements, perform data collection, and clean up.
• Benchmark and fine-tune SLM models, and deploy on edge devices.
• Iteratively improve based on user needs.
• Prepare reports, presentations, and data analyses for internal and external meetings.

Skills

Team player

Communication skills

Interpersonal skills

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

C/C++ (openFrameworks)

Python

Swift

Java

VS Code

Visual Studio

Xcode

homebrew

CocoaPods

PyCharm

Android Studio

ADB command line tools

eclipse

Arduino (AVR ATmega, nRF51/52, ESP8266/ESP32)

Raspberry Pi

Makerbot 3D printing tools

Autodesk Eagle

KiCad

Docker

VMware Desktop

VirtualBox

RealVNC

Google Firebase

Job description

National University of Singapore's Augmented Human Lab, within the Smart Systems Institute, seeks a Research Assistant skilled in Machine Learning, AI, and multi-modal interaction to develop context-aware small language models for a human-robot interaction system.

The role involves developing, testing, and deploying ML models, and collaborating with researchers and industry partners to advance human-robot interfaces and interactions.