Senior Assistant Manager (Data Science Engineer), Artificial Intelligence Office (1-yr contract)
National University Health System
- Singapore
- Permanent
- Full-time
- Analyze data generated by robotic systems to gain insights into performance, efficiency, and reliability.
- Develop predictive models and algorithms to optimize robotic operations, including motion planning, path optimization, and task scheduling.
- Implement machine learning algorithms for perception and decision-making in robotic applications, such as object recognition, localization, and navigation.
- Collaborate with robotics engineers and domain experts to define data collection strategies and experimental protocols.
- Design and conduct experiments to validate and refine data-driven models and algorithms for real-world robotic environments.
- Develop tools and frameworks for data visualization, monitoring, and analysis in robotics applications.
- Stay updated with the latest advancements in data science, machine learning, and robotics technology, and incorporate relevant techniques into research and development projects.
- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field.
- Proven experience in data science and machine learning, with a focus on applications in robotics or autonomous systems.
- Proficiency in programming languages such as Python, R, or MATLAB, as well as libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of robotics principles, including kinematics, dynamics, sensors, and actuators, fleet management.
- Experience with data preprocessing, feature engineering, and exploratory data analysis techniques.
- Familiarity with robotics simulation tools (e.g., Gazebo, V-REP), robotic middleware (e.g., ROS) & Fleet management tools.
- Excellent problem-solving skills and ability to work with large and complex datasets.
- Strong communication and collaboration skills, with the ability to work effectively in multidisciplinary teams.
- Possess confidence to resonate with senior management leadership - internal and external stakeholders
- Ability to multi-task and work under tight timelines
- Good analytical and organization skills
- Excellent communication, problem solving, presentation, negotiation and interpersonal skill