06 Postdoctoral Fellowship at University of Surrey, England

Applications are invited for a Research Fellow position focused on exploring vehicle dynamics algorithms for safety, stability and durability of next generation electrified/automated-driving vehicles. The position involves working closely with industrial partners and provides access to state-of-the-art vehicle chassis actuators for testing.

We are seeking an experienced Research Fellow to work on a partnership project with NHS and healthcare organisations to systemically improve the wellbeing of healthcare staff so that they can thrive.   

You will be responsible for the smooth running of this National Institute for Health and Care Research (NIHR) funded research project that aims to improve the wellbeing of the UK healthcare workforce.  A key aim of the partnership is to ensure inclusion of ‘seldom heard’ groups, who are likely to include staff from racially minoritised groups, internationally recruited and disabled staff.

The Fire and Explosion Modelling Group (FEMG) at University of Surrey is seeking a Research Fellow to work on CFD modelling of accidental releases of ammonia and hydrogen using OpenFOAM. The post is funded by combining resources from two projects. 

The ammonia project is funded by the UK-HyRES Hub flexible scheme. You will use the in-house modified OpenFOAM to simulate the atmospheric dispersion of ammonia following accidental releases, considering the exothermic chemical reactions between ammonia and water as well as the aerosol characteristics of ammonia cloud.  

The liquid hydrogen project is part of a joint industry project, led by Professor Jennifer Wen (FREng). You will apply OpenFOAM to evaluate the responses of liquid hydrogen tanks under different fire attacks at different filling level, e.g., full or partially filled, to inform field tests to be conducted by an industrial partner. You will also conduct validation with some small-scale mock-up tests by another industrial partner.

Applications are invited for a Research Fellow position to work part-time on a Children’s Cancer and Leukaemia Group (CCLG) funded project to map current funding in children’s cancer research against the Children’s Cancer Priority Setting Partnership priorities. The successful post holder will be based in the School of Health Sciences, working with Susie Aldiss and Professor Faith Gibson.

This project is part of a multi-institutional EPSRC programme focused on Sustainable Manufacturing with advanced electrochemical approaches. The programme involves 4 universities (Surrey, Loughborough, Imperial College London, and Heriot-Watt) and a number of industrial partners. Our vision is to create the first-of-its-kind Zero Carbon Loss manufacturing system that will pave the way for the UK to reach the 2050 Net Zero target, and achieve the Green Industrial Revolution. This will be enabled by developing a novel biomanufacturing route with carbon capture and utilisation (BMCCU) that can produce sustainable bioproducts (e.g., detergents, polymer, medicine, etc) with net zero loss of carbon resources flow throughout the manufacturing life cycle and supply chain. The project will also take a whole system approach to address wider economic, social and environmental challenges for the sustainable evolution of bio-based industries.

The Centre for Vision, Speech, and Signal Processing is seeking to recruit a full-time research assistant to contribute to a number of projects including sign language data processing and recognition. 

You will join an established research group within a highly rated research department, with an excellent computing and software infrastructure for first class research, modern facilities and close links with industry.

The work will involve the use of computer vision and machine learning for the identification, tracking and estimation of humans in video with specific application to the recognition of sign language. You will be assisting in data curation, processing and analysis. But there will be opportunities to contribute to other projects subject to skill set. Previous experience of sign language recognition, translation and linguistics are essential. Candidates should have good analytical and programming skills and some experience of computer vision and machine learning. Previous experience of real time systems development C/C++/C#, Python, OpenCV, PyTorch and deep learning would be advantageous.