About the project
The University of Liverpool (UoL) and Yonder Cloud are seeking to appoint a suitable experienced and qualified individual to undertake a three-year doctoral research programme. Yonder cloud are industry leaders the development of high-performance computing technology. At present they are working directly with Nvidia to create the next generation of AI computing techniques for Maritime applications. Combining this experience and connections with world-leading research and experience in geomorphological change, feature recognition and spatial analysis at the UoL the two make a formidable team with the potential to change the face of the maritime industry: this PhD project will feed directly into this work.
As part of the project, using computer vision and machine learning, you will be responsible for developing algorithms which can be used to elucidate and better understand features of peta-bytes of data. These findings will be used to better locate wind turbines, pin point the location of undersea cables and even be used in military operations.
For the project we are looking for a student who is willing to learn and will not be afraid to push the boundaries. As this is a computing-based PhD a knowledge of programming is essential. We will accept applications with any background of expertise; there is no specific need for a background in geography or costal science.
This PhD is one of 13 industry-led collaborative R&D projects in UoL’s delivery of the Port City Innovation Hub (PCiH). The aim of the project is for the successful candidate to work toward a PhD at the University of Liverpool through delivering ‘real – life’ solutions to industry and society. The PCiH supports businesses in the Liverpool City Region developing products or services within the maritime sector achieve economic growth. PCiH is a partnership with Wirral Council, Wirral Chamber of Commerce, Rainmaking Innovation and Mersey Maritime as first phase activity in advance of the launch of the Maritime Knowledge Hub.
All PhD projects have been co-developed with SMEs and UoL to provide assistance in R&D where the company does not have internal expertise, resource or facilities to carry out the research. This will give you a strong advantage in entering a competitive job market in both the academic and commercial sectors.
By joining PCiH you will receive a £16,000 tax free stipend per year, with your post-graduate tuition fees paid at the UK rate. PCiH is part financed by the European Regional Development Fund and Liverpool City Region Combined Authority. Please visit the Innovatory for more information on the School of Environmental Science’s other innovation projects.
To apply for this opportunity please E-Mail [Email Address Removed] quoting UoL-PCiH-005 in the subject line with:
• 2 page CV
• 2 page expression of interest
Yonder Cloud is an AI and Data Processing focused System Integrator with a global ecosystem of technology partners, platforms, data scientists and application engineering experts. Yonder Cloud’s team of HPC and Supercomputing experts are building energy efficient platforms that support the next generation of super simulation through data processing, AI, and visualisation systems. Yonder Cloud uses a cross industry and repeatable strategy, democratising the benefits of computational and data centric engineering innovation to all, and provides support through expert advice, strategy, training and education.
As a prestigious Russell Group institution, the University of Liverpool is one of the most exciting places in the UK to study. In the School of Environmental Sciences, we study Planet Earth. This includes the investigation of the Earth’s ecosystems, how they are impacted by our species and how human populations can be planned for and managed in the huge variety of environments in which we live. We are concerned with natural and human-induced risks to our population and to the planet ecosystem, and the means to mitigate them. We deliver world-class research and are also are involved in collaborating with industry, Government and the public to maximise the impact of our work.
The research project will be led by Dr Jonny Higham and co-supervised by Prof Andy Plater, Dr Jeremiah Nieves, and Dr Dani Arribas-Bel.