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Singapore Institute Of Technology Hiring! Full Time Research Fellow - Research Engineer (Vision-Language Models) - FG in - Ricebowl

Research Fellow - Research Engineer (Vision-Language Models) - FG

Singapore Institute Of Technology

Singapore

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Working Location

  • Singapore Singapore

Job Description

Responsibilities

Job Description
Research Fellow / Research Engineer (Vision-Language Models) - FG
Posting Start Date: 12/11/2026
Schemes of Service: Research
Division: AI & Data Science
Employment Type: Fixed Term

Research Fellow / Research Engineer (Vision-Language Models)

Job Description

We are seeking a motivated Research Fellow / Research Engineer to join a research project focusing on the development of AI-powered solutions for industrial operations and maintenance (O&M).

The successful candidate will conduct research and development in Vision-Language Models (VLMs) capable of understanding operational environments, interpreting visual information, and providing context-aware assistance to operations and maintenance personnel.

Key Responsibilities

  • Research, develop, and customize VLMs and multimodal foundation models capable of understanding visual scenes, recognizing objects and their relationships, and reasoning about operational situations.
  • Integrate VLMs with domain-specific knowledge bases, technical manuals, maintenance procedures, and operational guidelines to enable knowledge-grounded visual reasoning.
  • Collaborate and develop intelligent assistance capabilities that allow operations and maintenance personnel to interact with AI systems through natural language and visual inputs for operations and immersive training purposes.
  • Prepare technical documentation, research reports, publications, and project deliverables in accordance with project milestones.

Job Requirements

  • PhD degree for Research Fellow/Master degree for Research Engineer in Computer Science, Artificial Intelligence, Computer Engineering, or a related discipline.
  • Knowledge of and practical experience with Vision-Language Models and computer vision technologies.
  • Familiarity with modern deep learning architectures, including Transformers, Vision Transformers, and multimodal learning techniques.
  • Experience in developing, training, fine-tuning, or evaluating deep learning models.
  • Demonstrated experience in relevant AI research, multimodal AI development, or applied machine learning projects, will be a big advantage.
  • Strong analytical, problem-solving, and programming skills and good communication skills and ability to work effectively in a multidisciplinary research team.

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