Total 7 Internship mechanical engineer job vacancies in Singapore

• To develop, maintain and support the activities with measurements and control team, consisting of evaluation and selection of hardware components like sensors, transmitters, actuators, and data acquisition systems.
• Explore and implement IoT architecture solutions for industrial assets between hardware and cloud.
• Design and explore IoT platform solutions using various tools such as Node-Red, Grafana and Influx DB for edge-based machine learning use cases.
• Evaluate and develop intelligent measurement strategies to obtain required signatures of industrial machines.
• Implement IoT solutions which enables industrial PLC of various protocols to cloud-based systems.
• Conduct market research on innovative solutions for Digital Twin.
• Report writing and documentation.

As an intern for AI research engineer, the candidate will work on developing AI methods or solutions related to computer vision tasks for autonomous disassembly process. The candidate will focus on the following tasks:

•    Understand the typical process and challenges for automated disassembly.
•    Collect information on different types of defects and damages for automotive parts.
•    Conduct comprehensive evaluation   on collected data and derive systematic categorization.
•    Develop advanced computer vision algorithm for object detection, segmentation and pose estimation using state-of-the-art methodologies.
•    Explore potential solutions   to handle unexpected defects.
•    Integrate the algorithm into software and hardware platform.
•    Closely collaborate and communicate with other team members.

As an AI research intern, the candidate will work on developing AI methods, solutions towards robot-based automation for various internal projects. The candidate will assist in

• Development of various AI methods for wear & tear analysis for a given product
• Methods to utilize CAD / 3D data files for wear & tear impact projection over a period of time
• Development of various data pipelines to simulate the wear & tear propagation over a period of time

As an AI research engineer, the candidate will work on an automatic disassembly for EoL waste management. The candidate will assist in:

• Research and evaluate state-of-the-art open and closed-source LLM models and Retrieval-Augmented Generation (RAG) techniques
• Process unstructured technical documents from automotive and EV products to extract relevant text and images using multi-modal LLM
• Assist in developing and refining LLM and RAG models to improve performance, accuracy, and efficiency.
• Collaborate with the team to integrate AI models into broader systems or applications, considering scalability and deployment strategies.
• Document findings, methodologies, and outcomes, contributing to internal reports and potentially patent applications.
• Engage in team meetings and contribute to brainstorming sessions aimed at driving project success.

As a robotics research engineer, the candidate will work on developing a new testbed towards automation autonomous disassembly process in e-waste management. The candidate will assist in:

• Development of the testbed to integrate sensors, robots, conveyor belts, workbench, controllers, etc.
• Programing and integrating industrial robots to perform tasks such as pick-n-drop and execution of disassembly action.
• Development and maintenance of prototype applications based on controllers such as Raspberry Pi and Arduino
• Improving trajectory planning algorithms to ensure high throughput of operations such as pick-n-drop
• Developing automated robot trajectory planning for robotic 3D scanning and disassembly, and automated generation and execution of disassembly actions.
• Closely communicate with other teams and presentation slides

• Assist the Industry 4.0 (i4.0) team in acquiring, managing and implementing proof-of-concept (PoC) projects for customers
• Incubate and prepare new products for technical and commercial readiness to customers
• Provide training of products and solutions where necessary
• Provide ad-hoc support to operational activities where necessary
• Prepare marketing materials for new products and solutions

The candidate will work on developing an intelligent and sustainable Energy Management System (EMS) for Residential Air Conditioning (RAC). The candidate will assist in:

• Developing learning-based algorithms to optimize RAC operations based on energy cost, PV energy generation, and comfort requirements.
• Developing predictive models.
• Conducting and evaluating the control strategies in case studies.