Responsibilities

• Manning of static/access control points
• Checking of passes and other documents at static/access points
• Screening and checking of all personnel and vehicles entering and exiting the premises
• Patrolling and guarding client’s personnel and properties
• Operating metal/explosive detectors/x-ray machines at checkpoints
• Issuing of visitor/contractor pass in exchange for their identification cards
• Attending to alarm activation
• CCTV Monitoring
• Responding to incidents such as unattended bags, etc.
• Maintaining records of all incidents
• Checking of boarding, staff, and valid entry passes

Benefits

• Full-time: Attractive salary package – Up to SGD3,650*
• Joining bonus – SGD1,000 to SGD2,000*
• Yearly Increment*
• Profit Sharing Bonus*
• Fully sponsored WSQ certified security training
• Annual leave
• Hospitalisation leave
• Comprehensive medical and dental benefits
• Group insurance coverage
• Work injury compensation
• Marriage and childcare leave
• Free union subscription
• Support Team: Flexible working hours and locations
• Insurance coverage whilst on duty
• Twice-monthly payment
• CPF contribution

Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a candidate to join them as a Project Officer.

Key Responsibilities:

• Responsible for building ship simulation environments, developing global path planning algorithm and Deep Reinforcement Learning (DRL) learning models that can process to perform sea navigation task.
• Develop and implement a ship navigation simulation environment.
• Design and implement rule-based optimization algorithms such as A-Star, ant colony and genetic algorithm.
• Design and implement learning algorithms that can process input data and generate ship commands with confidence scores.
• Develop a human-machine interaction board to provide action recommendation for operator assistance.
• Conduct thorough research and contribute to the publication of research findings in top-tier conferences and journals.

Job Requirements:

• Bachelor/Master degree in Computer Science or Electrical and Electronic Engineering or related fields
• Proficient programming skills and experience (Python, C++)
• Experience or knowledge in develop navigation frameworks
• Experience or knowledge in path planning algorithms such as such as A-Star, ant colony and genetic algorithm
• Experience or knowledge in Deep Reinforcement Learning and Graph Convolutional Neural Networks for collision avoidance
• Background in robotic motion planning research projects. (e.g., holonomic and non-holonomic motion models)
• Experience in developing and working with simulation environments, such as Gazebo, CARLA, or Unity

We regret to inform that only shortlisted candidates will be notified.