Total 10 legal intern job vacancies in Art / Design / Entertainment category in Singapore

• Assist in the research, design, and implementation of Graph Neural Networks (GNNs) and related models for real-world problems.
• Develop and implement node embedding techniques (e.g., DeepWalk, Node2Vec, GraphSAGE) to generate high-quality vector representations for graph nodes.
• Work with large-scale graph-structured data in the domain of sustainability.
• Modify ontology to address use-cases.
• Participate in experiments to test new graph-based machine learning methods, optimizing for both performance and accuracy.
• Collaborate with team members to integrate graph-based models into existing machine learning pipelines and production systems.
• Stay up-to-date with the latest research and advancements in the field of graph-based machine learning.

• Collaborate with product owners, internal stakeholders, and external partners to understand customer needs and translate them into work packages.
• Participate in technical development projects, specifically focusing on customer analytics in the area of assisted living and nutrition using language models, knowledge bases and other AI standard tools.
• Create innovative technical concepts, integrating IoT technology into consumer-facing businesses.
• Identify areas for improvement and propose innovative solutions, following a user-centered approach and rapidly testing and iterating implemented solutions.
• Support team members in their daily tasks and conduct basic data gathering experiments.

Are you passionate about shaping the future of sustainability, collaborative robotics, and machine intelligence? Join our advanced development team as an AI research Intern, where you'll work on groundbreaking projects that aims to tackle challenging problems at the intersection of multi-modal AI (MMAI), and robotic machine intelligence. Imagine a world where robots can understand and follow complex instructions as efficiently as humans - you can help make that a reality! Overall, the candidate will support the supervisor to:

• Implement and optimize the developed algorithms for robotic disassembly.
• Investigate cutting edge vision foundation models to improve robotic comprehension and task execution.
• Develop innovative techniques to tackle the MMAI assistant challenges.
• Evaluate the performance of MMAI-based robotic systems in diverse scenarios to ensure reliability and efficiency.
• Meticulously document development processes, algorithms, and performance metrics, contributing to the project's knowledge base.

The candidate will be working on experimental & data analytics (AI/ML) activities for the development of an intelligent energy management solutions for Residential Air Conditioners (RAC). Developing optimization and AI based algorithms for energy management, ensuring a smooth operation of RAC tests, data collection, analysis, and validation are the expectations and possible expected tasks are listed below:

• Developing algorithms to minimize RAC energy cost.
• Model green energy supply (e.g. from a PV system) and develop solutions to maximize green energy use
• Validate concepts in Robert Bosch SEA Corporate Research HVAC testbed/lab and/or in virtual environment
• Execute and analyze experiment results with statistical tools to provide insights for further test and algorithm improvements
• RL and explainable AI 
• Energy Management feature development for VRF and RAC

The candidate will join a research team to work on developing an in-house python-based tool for optimizing disassembly of products at end-of-life, working towards enabling a circular economy.

The candidate will have the following tasks and responsibilities:

• Able to work full time for a period of 6 months (Starting period from May-July).
• Understanding current approaches to product disassembly and the developed optimization approach (using python).
• Develop and extend existing optimization approach and disassembly framework for different use cases.
• Test existing optimization framework on different products at Bosch.
• Develop GUI of software tool in accordance with UX/UI principles at Bosch.
• Research and understand environmental impact indicators based on existing methodology to evaluate environmental impact of disassembly processes.
• Use python-based approaches to calculate environmental impact of disassembly processes.
• Collaborate with cross-functional teams to integrate the software into existing processes.
• Document the development process, methodologies, and key findings.
• Generate regular reports and presentations to update stakeholders on progress and outcomes.

The candidate will be working on experimental & data analytics (AI/ML) activities for the development of an intelligent energy management solutions for Residential Air Conditioners (RAC). Developing optimization and AI based algorithms for energy management, ensuring a smooth operation of RAC tests, data collection, analysis, and validation are the expectations and expected tasks are listed below:

• Developing algorithms to minimize RAC energy cost.
• Model green energy supply (e.g. from a PV system) and develop solutions to maximize green energy use
• Validate concepts in Robert Bosch SEA Corporate Research HVAC testbed/lab and/or in virtual environment
• Execute and analyze experiment results with statistical tools to provide insights for further test and algorithm improvements

• Collaborate with product owners, internal stakeholders, and external partners to understand customer needs and translate them into work packages.
• Participate in technical development projects, specifically focusing on customer analytics in the area of assisted living and nutrition using machine learning and AI standard tools.
• Create innovative technical concepts, integrating IoT technology into consumer-facing businesses.
• Identify areas for improvement and propose innovative solutions, following a user-centered approach and rapidly testing and iterating implemented solutions.
• Support team members in their daily tasks and conduct basic data gathering experiments using tools like Power BI and Amazon Web Services (AWS).

Research and Analysis: 

• Conduct in-depth research on knowledge graph technologies, methodologies, and best practices. 

• Analyze existing recycling processes and identify areas for knowledge graph integration to optimize workflows. 

Knowledge Graph Development: 

• Design and develop a knowledge graph model tailored to the circular economy. 

• Curate and integrate data from various sources to populate the knowledge graph. 

Integration with circular economy processes: 

• Collaborate with cross-functional teams to integrate the knowledge graph into existing circular economy processes. 

• Identify opportunities for automation and data-driven decision-making using the knowledge graph. 

Documentation and Reporting: 

• Document the development process, methodologies, and key findings. 

• Generate regular reports and presentations to update stakeholders on progress and outcomes. 

The intern will be responsible for assisting the AI data scientist in analyzing and utilizing shrimp farming data. They will help deploy the machine learning model for AI automation systems, which includes developing, operating, troubleshooting, and maintaining the system.

Key responsibilities

Support Operations by:

• Monitoring, providing technical support, and analytical feedback on data related to daily farming operations.
• Performing analysis to shrimp farming data for insight.
• Collecting data and performing necessary data transformations for deployed AI.
• Training and evaluating the machine learning model.
• Performing data visualization and BI reporting when necessary.

Support R&D team with:

• Providing feedback and discussing process and product improvement.
• Assisting with the implementation of research ideas.
• Hands-on work with research and product development on identified problems.

As a member of the advanced development team, the candidate will gain hands-on experience working on the cutting-edge intersection of robotics, natural language processing, and artificial intelligence. Your mission, should you choose to accept it, involves developing a system that leverages large language models to generate text-based prompts that instruct robots on disassembling devices and machinery. Imagine a world where robots can understand and follow text-based instructions as efficiently as humans - you can help make that a reality! Overall, the candidate will support the supervisor on:

• Experimentation and identification of suitable large language models.
• Implement and optimize the developed algorithms that enable robots to interpret and execute disassembly instructions generated.
• Rigorously test the developed system under different scenarios and evaluate its performance and efficiency.
• Document all development processes, algorithms, and performance metrics meticulously, contributing to the project's knowledge base and future enhancements.