Total 7 job vacancies by Bosch Group

Responsibilities:

• Drive innovation in the areas of sustainability for the built environment and human wellbeing, focusing on energy use, thermal comfort, air quality and building controls topics.
• Co-create with business units in relation to sustainability initiatives, contribute to long-term product portfolio of Bosch, perform customer interview, formulate problem statements and generate innovation pitching and research proposals.
• Develop prototypes of AI/ML solutions to solve real business and engineering problems in the areas of optimal building control and human wellbeing improvement. Plan and execute experiments for proof of concept. Assist engineering team in the integration and implementation of the solutions in Bosch products.
• Build cooperation, assess opportunities, identify “Best-In-Class” within local institutions and universities for potential research / innovation collaboration.
• Regular alignment with Strategic Research Portfolio Owner, quarterly review project or milestone update, internal/external stakeholder management, idea pitching via Bosch Innovation Framework.

We are seeking a highly motivated and enthusiastic bachelor/master student to join our team as an intern in the field of sustainable HVAC systems. The focus of this internship is on experimental (testbed or laboratory) and data driven (data analytics and AI methods) development tasks on Residential or Commercial Air Conditioning systems (RACs or VRFs). Specifically, working on system level energy efficiency and anomaly detection analytics, application of AI/ML techniques for data analysis, visualization and validation. Successful candidate will be responsible for the following duties within corporate research center in Singapore:

• Conducting literature research on HVAC systems, focusing on energy efficiency, anomaly detection, AI/ML applications, and control methodologies.
• Carry out experiments related to RAC or VRF performance and anomaly detection at different indoor and outdoor conditions in research lab/testbed.
• Analyze and interpret data using AI/ML techniques to improve system diagnostics and control strategies that leads to energy efficiency or quality improvement.
• Collaborate with other team members to advance project goals and implement findings into practical applications within our physical/digital products and solutions.
• Participate in group meetings and discussions related to the project or tasks.
• Prepare and present project updates to the team and other stakeholders.

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

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.