Principal Research Engineer / Research Fellow - Distributed Data Sharing and AI for Cross-sector Industrial Systems

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Principal Research Engineer / Research Fellow - Distributed Data Sharing and AI for Cross-sector Industrial Systems

Applications Close: Jun 30, 2026

Toshiba Europe Limited

30 Queen Square, Bristol BS1 4ND, UK

6Views

Principal Research Engineer / Research Fellow - Distributed Data Sharing and AI for Cross-sector Industrial Systems

Toshiba Europe Limited

record of leading and participating in UK/EU-funded projects and standardisation activities.

Responsibilities:

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.

Key Qualifications:

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.
Experience in patent applications and intellectual property management is desirable.

Required 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.

Why Join Us:

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.

Embark on a journey where your expertise in distributed systems, AI and data sharing can make a significant impact across multiple sectors.

To apply for this role, please click on the 'Apply' button above.

This is a Preview Listing…

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Manage / Upgrade this job to a Full Job Listing.

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Job Fulfilled

Related Jobs - August 31, 2026

Senior Engineer - Assembly

University of Sheffield

Partner Sales Manager

Study Group

Process Engineer (KTP Associate)

Liverpool John Moores University

Business Development Manager

University of York

Quality Assurance Rater - English (United Kingdom)

155

TELUS Digital

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Principal Research Engineer / Research Fellow - Distributed Data Sharing and AI for Cross-sector Industrial Systems

Applications Close: Jun 30, 2026

Toshiba Europe Limited

30 Queen Square, Bristol BS1 4ND, UK

6Views

Principal Research Engineer / Research Fellow - Distributed Data Sharing and AI for Cross-sector Industrial Systems

Toshiba Europe Limited

record of leading and participating in UK/EU-funded projects and standardisation activities.

Responsibilities:

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.

Key Qualifications:

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.
Experience in patent applications and intellectual property management is desirable.

Required 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.

Why Join Us:

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.

Embark on a journey where your expertise in distributed systems, AI and data sharing can make a significant impact across multiple sectors.

To apply for this role, please click on the 'Apply' button above.

This is a Preview Listing…

You must sign in to see the full job description, and to apply.

Manage / Upgrade this job to a Full Job Listing.

Find Your Best Opportunity

Tell them AcademicJobs.com sent you!

Job Fulfilled

Related Jobs - August 31, 2026

Aston UniversityUnited Kingdom

Related Conferences

Principal Research Engineer / Research Fellow - Distributed Data Sharing and AI for Cross-sector Industrial Systems

Applications Close: Jun 30, 2026

Toshiba Europe Limited

30 Queen Square, Bristol BS1 4ND, UK

6Views

Principal Research Engineer / Research Fellow - Distributed Data Sharing and AI for Cross-sector Industrial Systems

Toshiba Europe Limited

record of leading and participating in UK/EU-funded projects and standardisation activities.

Responsibilities:

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.

Key Qualifications:

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.
Experience in patent applications and intellectual property management is desirable.

Required 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.

Why Join Us:

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.

Embark on a journey where your expertise in distributed systems, AI and data sharing can make a significant impact across multiple sectors.

To apply for this role, please click on the 'Apply' button above.

This is a Preview Listing…

You must sign in to see the full job description, and to apply.

Manage / Upgrade this job to a Full Job Listing.

Find Your Best Opportunity

Tell them AcademicJobs.com sent you!

Job Fulfilled

Related Jobs - August 31, 2026