Research Fellow in Digital Twins and Ontologies

4 weeks ago


Cranfield, United Kingdom Cranfield University Full time
Role Description

We are seeking a highly skilled Research Fellow to join our team and contribute to the development of innovative digital twins and ontologies for the transportation sector.

This role is part of a larger project focused on decarbonizing transport in the UK. As a key member of our team, you will play a critical role in designing, developing, and integrating advanced ontologies and machine learning models to support the rapid and radical decarbonisation of transport across all modes.

Your Key Responsibilities will include:

  • Ontology Development: Design and develop ontologies to represent complex transportation data and knowledge, ensuring seamless data interoperability across different transport modes and systems.
  • Machine Learning Application: Apply advanced machine learning techniques to enhance data analysis, predictive modeling, and decision-making processes within the transportation ecosystem.
  • Collaborative Research: Work closely with academic, industry, and government partners to understand their requirements and integrate solutions effectively, fostering strong collaborative relationships.
  • Digital Twin Integration: Contribute to the creation and integration of Federated Transport Digital Twins (FTDTs) that will culminate in a Federated Transport System of Systems (FTSoS), addressing interoperability, security, and resilience challenges.
  • Demonstrator Development: Develop demonstrators to showcase the practical application of ontology and machine learning in real-world transportation scenarios, providing tangible benefits to stakeholders.
  • Knowledge Dissemination: Publish research findings in leading academic journals, present at international conferences, and contribute to knowledge transfer activities through bi-directional secondments and policy support.

About You

You will be educated to doctoral level (or close to completion) in a relevant subject and have experience of developing ontologies, knowledge graph, and machine learning technologies. With excellent software design and development skills, you will be able to contribute immediately to the project objectives. Your expertise in effective training methods and knowledge of manufacturing processes will be an advantage. In addition, you will have a developing track record of publishing in high-quality journals.

About Us

Cranfield University is a world-class postgraduate university that is renowned for its expertise in technology and management. Our unique approach brings together design, materials technology, and management expertise to develop novel technologies and improve the science base of manufacturing research. We are committed to creating a culture where everyone can work and study together and realise their full potential.

Our Values and Commitments

We are proud to be a Disability Confident Employer and a member of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family-friendly employers in the UK by the charity. Find out more about our key commitments to Equality, Diversity, and Inclusion and Flexible Working.



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