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Are you an experienced knowledge engineer who enjoys solving complex data challenges? We have an exciting opportunity for you to join us as a Knowledge Graph and Ontology Specialist and build the semantic foundations for the future of industrial data.
You will join the AMRC at the University of Sheffield, as part of a growing interoperability team currently funded through the leadership of a UKRI Future Leadership Fellow. We are tackling critical barriers of system interoperability preventing organisations from leveraging the benefits of leading-edge technology, such as digital twins and AI, by unifying the current siloed infrastructures to drive industrial adoption. While the wider project focuses on accelerating industrial interoperability approaches, this role is dedicated entirely to the knowledge graph engineering and ontological understanding underpinning its success.
As a specialist, you will design and develop semantic architectures to make industrial data understandable, interoperable, and queryable. With 2-3 years of experience in knowledge engineering or conceptual modelling, you will establish information pipelines to extract semantic structure from information sources and apply advanced conceptual frameworks (including 3D vs. 4D approaches) to accurately capture complex engineering lifecycles.
Please submit a CV and cover letter. In your cover letter, please include:
An explanation and link or attachment to a representative conceptual model or an aspect ontology snippet you have developed.
A brief explanation of a time you had to advocate for a specific modelling approach (e.g., formal ontology over a simple taxonomy).
A short description of your contributions to a collaborative project.
Are you an experienced knowledge engineer who enjoys solving complex data challenges? We have an exciting opportunity for you to join us as a Knowledge Graph and Ontology Specialist and build the semantic foundations for the future of industrial data.
You will join the AMRC at the University of Sheffield, as part of a growing interoperability team currently funded through the leadership of a UKRI Future Leadership Fellow. We are tackling critical barriers of system interoperability preventing organisations from leveraging the benefits of leading-edge technology, such as digital twins and AI, by unifying the current siloed infrastructures to drive industrial adoption. While the wider project focuses on accelerating industrial interoperability approaches, this role is dedicated entirely to the knowledge graph engineering and ontological understanding underpinning its success.
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As a specialist, you will design and develop semantic architectures to make industrial data understandable, interoperable, and queryable. With 2-3 years of experience in knowledge engineering or conceptual modelling, you will establish information pipelines to extract semantic structure from information sources and apply advanced conceptual frameworks (including 3D vs. 4D approaches) to accurately capture complex engineering lifecycles.
Please submit a CV and cover letter. In your cover letter, please include:
An explanation and link or attachment to a representative conceptual model or an aspect ontology snippet you have developed.
A brief explanation of a time you had to advocate for a specific modelling approach (e.g., formal ontology over a simple taxonomy).
A short description of your contributions to a collaborative project.
Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and are respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.
Bachelor's or master's degree in Information Science, Computer Science, Philosophy (with a focus on formal logic/ontology), Systems Engineering, or a related area, coupled with 2-3 years of practical knowledge graph and ontology experience.
Interview / Application
Working knowledge of foundational upper ontologies (e.g., BORO, HQDM, IES, ISO 15926, BFO, UFO, SUMO, DOLCE) and a demonstrable understanding of 4D ( perdurantist / spatiotemporal) vs. 3D ( endurantist / spatial) modelling methods in extending domain ontologies.
Deep, practical understanding of the distinctions, limitations, and appropriate applications of formal ontologies versus data dictionaries, vocabularies, and taxonomies.
Experience with semantic web technologies (RDF(S), OWL, SPARQL, SHACL), standard conceptual modelling languages (e.g., UML or similar) and linked data formats (e.g. Turtle).
Practical experience with ontology authoring tools and workflows (e.g., Sparx Enterprise Architect, Protégé) and familiarity with ontology design patterns and common anti-patterns.
Working knowledge and understanding of the differences between graph database technologies (e.g., Neo4j, GraphDB, RDFox) and experience building and managing knowledge graphs that integrate data from multiple sources.
Experience translating raw or semi-structured engineering data into structured semantic models, with an understanding of data pipeline or ETL fundamentals.
Ability to work in an interdisciplinary environment, interviewing domain experts to translate complex subject matter into formal logic and structured models.
Effective communication skills, both written and verbal, including the ability to explain highly abstract conceptual models to non-technical stakeholders.
Ability to work effectively as part of an agile team (e.g. scrum, kanban) with a demonstrated capacity to operate independently, alongside excellent time, project management, and collaborative skills.
Experience applying version control (e.g., Git), continuous integration, or open-source practices specifically tailored to ontology development, model lifecycle management, or semantic data collaboration.
Background or exposure to advanced manufacturing, engineering, or industrial R&D environments.
7
Full-time
Fixed term until 31st October 2029
Senior Technical Fellow in Interoperability
None - with opportunity for supporting placements and graduate staff.
If you do not currently hold the right to work in the UK, you can find more information here to help determine your visa eligibility. Additional guidance is also available on the UK Visa & Immigration website .
For informal enquiries about this job contact Jonathan Eyre, Senior Technical Fellow in Interoperability on j.eyre@amrc.co.uk
We are committed to exploring flexible working opportunities which benefit the individual and University.
The selection process will consist of an in-person interview at Factory 2050, Sheffield consisting of: a short presentation from applicants, a series of questions from a panel, followed by a tour around the facility. We plan to let candidates know if they have progressed to the selection stage within two weeks of the closing date. Contact Jonathan Eyre if you require any reasonable adjustments.
We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new window).
Possession of a criminal record is not an automatic bar to employment at the University of Sheffield. We recognise the value of steady employment in the rehabilitation process and examine each case in its own right. More information can be found on our Information for candidates page .
This role requires the postholder to undertake a Government baseline personnel security standard (BPSS) check as a condition of employment.
We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision ( www.sheffield.ac.uk/vision ) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.
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Exempt-charity research university providing research-led teaching to students and collaborative research with industry and society.
Visit company websiteJobs and hiring trendsGBP 38784-47389 yearly / year
Full Time, Contract
Entry · 2+ years experience
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