SINGAPORE INSTITUTE OF TECHNOLOGY
Research Fellow/Engineer (AI on Video Analytics) - DW(1074)
Visa Source Listed
📍🇸🇬 Singapore📅13h ago
S$54,000—S$84,000/ year
≈ ₹34L — ₹53L per year
Deep LearningMachine LearningAiCellMultimodal AIscientific disciplineArtificial IntelligenceComputer VisionAI ModelsAlgorithm DevelopmentConsumer Behaviourcutting-edge technologyVideo CodingLife SciencesLaboratory
AI-Powered Fit Check
Instantly analyze how your resume matches this job's requirements and uncover your top strengths.
Note: MyCareersFuture requires a Singapore NRIC or FIN to login and apply. Search for this role directly on SINGAPORE INSTITUTE OF TECHNOLOGY's careers page to apply.
Job Description
About the Project
The SITx 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 skin care 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
The successful candidate will:
- 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
Applicants should possess:
- 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.