Intern, Knowledge Graphs for Circular Economy

Company Description

Robert Bosch (South East Asia) Pte Ltd is a regional subsidiary of the Bosch Group, representing the Group's interests in Southeast Asia where it is present in all ASEAN member countries. Business operations in these countries report to Robert Bosch (South East Asia) Pte Ltd, located in Singapore. Bosch has been present in Southeast Asia since 1919, with diversified businesses in the company's four business sectors - Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. Bosch's strategic objective is to improve quality of life with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.”

At Bosch, we care. For you, our business, and our environment.

Let’s turn visions into reality. At Bosch,we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility or industry. Our responsibility goes far beyond business. We’re independent of stock markets and bound to the purpose of the Robert Bosch Foundation; our success directly benefits society, the environment, and future generations. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

Let’s be remarkable.

Job Description

• 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.

Qualifications

• Enrolled in a relevant undergraduate or graduate program in Computer Science, Information Science, Data Science, or a related field.
• Strong understanding of knowledge graph concepts, ontologies, and semantic technologies.
• Proficiency in programming languages such as Python, Java, or RDF-based languages.
• Familiarity with data integration, linked data principles, and graph databases (e.g., RDF, OWL).
• Familiarity with Graph Theory and Machine Learning such as Graph Neural Networks (GNNs), Graph Convolutional Networks (GCNs), Graph Attention Networks (GATs), or similar models.
• Basic understanding of node embedding techniques like DeepWalk, Node2Vec, or GraphSAGE
• Experience with graph database systems and query languages (SPARQL).
• Strong analytical and problem-solving skills.
• Effective communication and collaboration skills in a team environment.
• Eager, quick learner with a strong team-work spirit.

Additional Information

• Candidate should fulfil the visa requirements for employment in Singapore
  • http://www.mom.gov.sg/passes-and-permits/work-pass-exemption-for-foreign-students
• Applicant must be enrolled in full-time studies throughout internship period, or plan to pursue further studies.
• Candidate should be available for full time work for 4-6 months
• For foreign students studying overseas, you must be eligible for the Work Holiday Programme (WHP)
  • http://www.mom.gov.sg/passes-and-permits/work-holiday-programme/eligibility