Research Fellow/Engineer (AI on Video Analytics) - DW

Singapore Institute of Technology

Singapore

On-site

SGD 90,000 - 130,000

Full time

13 hours ago
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Job summary

The SIT x NVIDIA AI Centre (SNAIC) at the Singapore Institute of Technology seeks a highly motivated Research Fellow/Engineer to join a strategic collaboration with Procter & Gamble (P&G). The project aims to develop next-generation AI for concept-driven video understanding from consumer facial care videos.

You will work with researchers from SNAIC, NVIDIA, and P&G to design novel AI methods using Vision AI, Multimodal AI and Foundation Models, publish findings at top conferences, and mentor

Qualifications

  • PhD/MSc/BSc in CS, AI, EE or related field.
  • Strong research background in CV, ML, DL, video understanding or multimodal AI.
  • Proficient in Python programming.
  • Hands-on with PyTorch, Hugging Face Transformers and OpenCV.

Responsibilities

  • Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI.
  • Design AI models for concept-driven video understanding.
  • Collaborate with PI and industry partner to develop AI solutions.
  • Develop algorithms for fine-grained video understanding, concept learning, and temporal reasoning.
  • Fine-tune Foundation Models and Vision-Language Models for domain use.
  • Build end-to-end AI pipelines for video analytics and deployment.
  • Publish findings in top AI conferences and journals.
  • Mentor graduate students and support SNAIC activities.

Skills

Computer Vision
Machine Learning
Deep Learning
Video Understanding
Multimodal AI
Python
PyTorch
Transformers
OpenCV

Education

PhD/MSc/BSc in Computer Science, AI, EE

Tools

PyTorch
Hugging Face Transformers
OpenCV

Job description

Job Description

Research Fellow/Engineer (AI on Video Analytics) - DW

Schemes of Service: Research

Division: Infocomm Technology

Employment Type: Fixed Term

About The Project

The SIT x NVIDIA AI Centre (SNAIC) at the Singapore Institute of Technology (SIT) is seeking a highly motivated Research Fellow/Engineer to join a strategic collaboration with Procter & Gamble (P&G).

This project aims to develop next-generation AI technologies for concept-driven video understanding from consumer-recorded facial care videos. Unlike conventional action recognition, the research focuses on understanding high-level semantic concepts, behavioural patterns, product usage, and skincare routines through advanced Vision AI, Multimodal AI, and Foundation Models.

The successful candidate will work closely with researchers from SNAIC, NVIDIA, and P&G to develop novel AI methodologies with direct industrial impact.

Responsibilities
  • Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI.
  • Design AI models for concept-driven video understanding of consumer facial care behaviours.
  • Work with PI and company to develop the AI solution
  • Develop novel algorithms for:
    • Fine-grained video understanding
    • Concept learning
    • Temporal reasoning
    • Vision-Language Models (VLMs)
    • Multimodal representation learning
    • Self-supervised and weakly supervised learning
  • Fine-tune and adapt Foundation Models and Vision-Language Models for domain-specific applications.
  • Build end-to-end AI pipelines for video analytics and deployment.
  • Work with industrial datasets and collaborate with domain experts from P&G.
  • Publish research findings in top-tier AI conferences and journals.
  • Mentor graduate students and support research activities within SNAIC.
Required Qualifications
  • PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline.
  • Strong research background in one or more of:
    • Computer Vision
    • Machine Learning
    • Deep Learning
    • Video Understanding
    • Multimodal AI
  • Excellent programming skills in Python.
  • Hands-on experience with:
    • PyTorch
    • Hugging Face Transformers
    • OpenCV
  • Experience working with deep learning models for image or video analysis.
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