Principal Research Engineer / Research Fellow - Distributed Data Sharing and AI for Cross-sector Industrial Systems
Core
Leading R&D in distributed data sharing, digital twins, and cross-sector AI architectures for industrial systems.
Role type
Principal Research Engineer / Research Fellow
Builds
Proof-of-concept prototypes, field trials, and novel concepts for distributed AI and data integration.
Domain
Industrial systems, energy flexibility, carbon credit, and digital measurement reporting (dMRV)
Deliverable
production ML models | research | client delivery
Required skills
System engineering, microservices architecture, cloud/edge hybrid deployments, data interoperability, digital twin technologies, agentic AI, MCP, RAG, generative AI, semantic web technologies (RDF, OWL, knowledge graphs), data governance frameworks, LCA computation models
Preferred skills
Patent applications, intellectual property management, technology scouting, industry trend analysis
Technologies
Python, Java, SQL, Azure Data Explorer (ADX), PostgreSQL, MongoDB, Spark, Power BI, Matlab Simulink, PySpark, Jupyter notebooks
Responsibilities
Conduct industry-applied R&D in cross-domain data sharing and digital twins; network with business, R&D, and academia partners; propose and deliver externally funded projects as proof of concept; perform technology scouting and provide strategic feedback; validate business concepts; produce intellectual property and academic publications; investigate standardization activities; collaborate globally on BRIL deliverables
Seniority
Principal, hands-on IC with strategic oversight
