The Royal Academy of Engineering has announced support for seven new engineering research fellowships, with each awardee receiving five years’ worth of funding to advance their academic research.

Covering a variety of engineering disciplines, the proposed research topics include deep learning for robotics, technologies to enable the conversion of waste into biofuels and new 3D imaging techniques for tissue engineering.

Dr Rainer Maria Johannes Groh, Dr Myra Lydon and Dr Massimiliano Materazzi

The seven Research Fellowships are supported through the UK government’s Investment in Research Talent initiative. In recognition of the importance of engineering research to the UK, the government has provided the Royal Academy of Engineering with a significant increase in funding over the next four years to attract and best research talent to the UK and support their work.

Research Fellowships are designed to advance excellence in engineering by enabling outstanding early-career academics to concentrate on basic research in any field of engineering.

Dr Brian Sheil, Dr Edward Johns and Dr Charlotte Hagen

The funding allows researchers to reduce their teaching and administrative duties, giving them time to develop a track record in their discipline. Research Fellows also receive mentoring from an experienced Academy Fellow, providing valuable advice and industry links that will enable the researchers to establish themselves as future leaders in their fields.

The full list of Research Fellows and their projects is as follows:

  • Dr Myra Lydon, Queen's University Belfast
    Solutions to Monitor and Assess Resilience in Transport (SMART) Infrastructure
  • Dr Ben Green, University of Warwick      
    Long-Distance Quantum Communication Devices Via Engineered Defects in Diamond 
  • Dr Massimiliano Materazzi, UCL
    Advanced Thermal Technologies for Conversion of Waste into Second-Generation Biofuels         
  • Dr Edward Johns, Imperial College London       
    Empowering Next-Generation Robots with Dexterous Manipulation: Deep Learning via Simulation     
  • Dr Rainer Maria Johannes Groh, University of Bristol
    Robust Computational Methods and Design Paradigms for Spatially Chaotic Structures         
  • Dr Charlotte Hagen, UCL
    A Novel 3D, Non-Destructive Imaging Platform for Tissue Engineering  
  • Dr Brian Sheil, University of Oxford
    Intelligent Real-time Monitoring to Inform Underground Construction Processes

Notes to editors

  1. Royal Academy of Engineering. As the UK’s national academy for engineering, we bring together the most successful and talented engineers for a shared purpose: to advance and promote excellence in engineering. We provide analysis and policy support to promote the UK’s role as a great place to do business. We take a lead on engineering education and we invest in the UK’s world-class research base to underpin innovation. We work to improve public awareness and understanding of engineering. We are a national academy with a global outlook.

We have four strategic challenges:
- Make the UK the leading nation for engineering innovation
- Address the engineering skills crisis
- Position engineering at the heart of society
- Lead the profession

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