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Future Roads Fellowships
created · Updated
Deadline: Sep 30, 2026
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Summary

The Future Roads Fellowships Programme (FUTUREROADS) is hosted by the University of Cambridge and co-funded by partners Costain Group Plc and Highways England Company Ltd. It offers 27 x 36-month fellowships over 3 recruitment rounds focused primary in digital twins, smart...

Description

The Future Roads Fellowships Programme (FUTUREROADS) is hosted by the University of Cambridge and co-funded by partners Costain Group Plc and Highways England Company Ltd. It offers 27 x 36-month fellowships over 3 recruitment rounds focused primary in digital twins, smart materials, data science, automation and robotics, and sustainability solutions for the road infrastructure industry. The programme allows applicants to have the freedom to develop their own ideas with access to excellent facilities. FUTUREROADS will enhance fellows’ understanding of the methodologies and approaches of other scientific disciplines at the highest level. The aim is also to establish a multidisciplinary training platform to strengthen researchers’ capabilities such that they are capable to work anywhere in Europe and, therefore, attract researchers from around the globe to Europe and contributing to the European goals of increasing the numbers of researchers with innovation skills in Europe. The programme supports incoming fellowships for postdoctoral researchers on a competitive basis. It aims at high-potential individuals primarily interested in following a career in the transportation infrastructure sector or academia. Awardees will be offered an employment contract with a standard postdoctoral salary and will be entitled to an individual mobility and research budgets. Fellows are offered career development support and training events to develop their non-scientific skills. They are expected to take part in teaching activities at Cambridge and are encouraged to apply for additional competitive funding. The programme is open for all applicants who meet the MSCA mobility rules for fellows.

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The project aims to create a pan-European federated energy data ecosystem and an innovative Energy AI Gym for the development, training, testing and validation of AI Foundation Models specifically tailored to the energy sector. The initiative will combine interoperable energy data spaces, advanced AI and HPC infrastructures, and real-world validation environments across Europe. The objective is to develop reusable and transferable AI models capable of supporting renewable energy integration, flexibility, grid management, sector coupling, electric mobility and industrial energy optimisation. The project will validate the approach through five complementary European pilots in Sweden, France, Finland, Spain/Iberia and the Netherlands, covering different energy systems and demonstrating the transferability of AI Foundation Models between countries, sectors and operational environments.

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