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Singapore Institute of Technology

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1 Punggol Coast Road, Singapore 828608

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"Research Fellow (Human-in-the-Loop AI perception system) - LX"

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Research Fellow (Human-in-the-Loop AI perception system) - LX

Posting Start Date: 14/01/2026

Schemes of Service: Research

Division: Infocomm Technology

Employment Type: Fixed Term

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an innovation research project where you will be part of the research team to conduct applied research in the topic of Human-in-the-Loop AI perception system that leverages user concerns and identified driving scenarios to generate new and relevant driving scenes for enhancing the perception system performance for autonomous vehicles (AV).

Key Responsibilities

Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.

Undertake these responsibilities in the project:

Conduct the research work in Human-in-the-Loop AI perception system for autonomous driving

Work with the research team, collaborators and the industry partner to design the framework of the proposed solution

Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.

Coordinate procurement and liaison with vendors/suppliers.

Work independently, as well as within a team, to ensure proper operation and maintenance of equipment

Job Requirement

Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus.

Have a PhD degree in computer science/engineering or related disciplines.

Knowledge of autonomous vehicles or cyber security will be advantageous.

Have strong research record, preferably on top-tier computer science/engineering conferences.

Key Competencies

Specialized in computer science, computer engineering, or relevant disciplines

Enthusiasm in the Deep learning and AV related research

Proficient in paper writing and presentation

Possess strong analytical and critical thinking skills

Able to build and maintain strong working relationships with people within and external to the university

Self-directed learner who believes in continuous learning and development

Show strong initiative and take ownership of work

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