Research Assistant (Multi-modal AI, SLM), Smart Systems Institute

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

Job Description

Augmented Human Lab, at the Smart Systems Institute, National University of Singapore is seeking a Research Assistant with expertise in Machine Learning, AI, and multi-modal interaction for developing context-aware small language models for a human-robot interaction system.

As a Research Assistant, you will play a pivotal role in advancing our research initiatives by developing, testing & deploying ML models to design novel human-robot interfaces & interactions. You will collaborate with a multidisciplinary team of researchers, especially research fellows and industry collaborators.

Major responsibilities

• Collecting 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

Experience and Skills

• Bachelor's or Master's degree for a reputed university, preferably in Computer Science or related field
• Experience software tools such asC/C++ (openFrameworks), Python, Swift, JavaProgramming IDE & Target Platforms: VS Code, Visual Studio, , Xcode, homebrew, CocoaPods, PyCharm, Android Studio, ADB command line tools, eclipse
• Experience hardware design tools such asTarget platforms: Arduino (AVR ATmega, nRF51/52, ESP8266/ESP32),SuperH/H8 Tiny, MCP430, Raspberry Pi, Electric ImpDesign tools: Makerbot 3D printing tools, Autodesk Eagle, KiCad (circuit board design tool)
• In addition the candidate should be a team player and be able to demonstrate excellent communication skills (written and verbal) and interpersonal skills.
• Following skills will be an added advantageExperience in Virtualisation Environments such as Docker, VMWare Desktop, VirtualBox, RealVNC, Google.Experience in Cloud Computing Platforms such as AWS Lambda, Oracle Cloud, IBM Watson, Google Firebase.

Why join us

NUS is a world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked within the top 10 in the world. The Augmented Human Lab is an excellent environment with a diverse team (www.ahlab.org/people) which will accelerate your research career.

The initial term of appointment will be 1-year and renewable based on performance.