Principal Research Engineer

• Conducting industry-applied R&D such as innovative research and advanced development in the field of cross-domain data sharing and digital twins supporting services such as energy flexibility, carbon credit and digital measurement reporting and verification (dMRV)
• Networking with business and R&D divisions in Toshiba Corporation, business partners, and academia partners, etc
• Proposing projects relevant to the target technology to EU or local external funding, then joining to deliver field trials as proof of concept, through engaging with academia and industry experts
• Technology scouting and industry trend analysis leveraging our European presence and providing strategic feedback to Toshiba’s R&D and business operations based on these insights
• Business concept validation activities in collaboration with business divisions and business development teams
• Producing intellectual property and high-quality journal and conference papers
• Investigating relevant standardization activities for advanced technology features
• Demonstrating the ability to work with other engineers not only in EMEA but globally and showing a broad understanding of the work across the global organisation
• Supporting BRIL’s deliverables under internal company contract and in external collaborative projects etc

• PhD in computer science specialised on data sharing, digital twins, distributed databases, AI, or a related field with more than 3 years (principal research engineer), 5 years (research fellow) of post-doctoral or industrial experience
• Deep understanding of data sharing fundamentals, including availability, confidentiality and integrity principles
• Strong system engineering experience related to data sharing and AI solutions as well as microservices architecture and cloud/edge hybrid deployments
• A strong professional network and established presence within the EMEA industrial sector, as well as in data and computer science technical domains and relevant standardisation bodies
• Proven track record of publications in major conferences and journals
• Self-motivated with excellent problem-solving skills
• Familiarity with data sharing standards and AI architectures, including data interoperability, system integration, and digital twin technologies
• Experience in externally funded projects (including European), independent research within a team, and proven ability to build collaborations
• Proficient in programming with Python, Java and SQL and testing using open-source tools
• Understanding of database and data analysis technologies like Azure Data Explorer (ADX), PostgreSQL, MongoDB, and data driven machine learning tools such as Spark, Power BI
• Experience with optimisation, simulation and data analysis tools such as Matlab Simulink (e.g. optimisation and ML toolboxes), PySpark and Jupyter notebooks
• Work on projects on areas such as agentic AI, MCP, RAG, generative AI, trust and security, driving innovations from concept through PoC to MVP
• Experience with semantic web technologies
• RDF, OWL, knowledge graph and ontologies for data harmonisation
• Familiarity with dataspaces, metadata standards and data governance frameworks relevant to cross-sector data exchange, data sovereignty, and usage control mechanisms
• Develop computation models for LCA, linking data to environmental impact and product circularity goals

Experience in patent applications and intellectual property management is desirable

• Opportunity to work on pioneering technologies in distributed AI and cross-domain data sharing
• Engage in a dynamic and innovative work environment focused on technology development and research
• Translate technological research into real products and solutions by working closely with business divisions
• Contribute to high-impact research with potential for publication in esteemed journals and conferences
• An attractive remuneration and benefits package