Job description
Energy Systems Catapult is an independent research and technology organisation. Our mission is to accelerate Net Zero energy innovation. Launched in 2015 by Innovate UK, the Catapult has built a team of more than 250 people, with a range of technical, engineering, consumer, commercial, incubation, digital and policy expertise. They draw on sector-leading test facilities, modelling tools, and data collected from our back catalogue of more than 500 research projects. We use that ‘whole energy’ system capability to support innovative companies -- small and large – to test, trial and scale their new products and services. Our impact comes when those innovators attract new customers, new investment and new grants so they can thrive in the future energy system. Based in Birmingham, Energy Systems Catapult is part of a network of nine, world-leading technology and innovation centres, established by Innovate UK. The Catapult Network fosters collaboration between industry, government, research organisations, academia, and many others to transform great ideas into valuable products and services. This is an exciting opportunity to work in a very topical area: the use of green hydrogen in hard-to-decarbonise industrial sectors. The post-holder will carry out process Modelling of integrated steel plants employing various decarbonisation strategies, as part of a more general project on integration of low-carbon hydrogen value chains for hard-to-decarbonise sectors with wider energy systems using whole-systems modelling and optimisation. The successful applicant will develop high-fidelity mathematical models of integrated steel plants with various decarbonisation strategies. This modelling activity will also determine the properties (e.g. efficiencies, costs, emissions etc.) of the various pathways for decarbonising steel, which will be used in a whole-systems value chain Modelling and optimisation activity to determine the overall benefits to the UK energy system of decarbonising industry using hydrogen. The successful applicant will develop the process models using gPROMS Process, an advanced process modelling environment for simulation, design and operation of process plants, developed by Siemens Process Systems Engineering, who is a partner of this project. Therefore, experience with gPROMS or other similar modelling environments is a desirable attribute, but not essential: the successful applicant will have the opportunity to undertake training in gPROMS Process, provided by Siemens PSE, so the ability to learn quickly is essential. This Research Fellow opportunity is UKRI funded. What credentials are we ideally looking for? Qualification: A PhD degree in subject area of direct relevance for the project, or equivalent significant relevant experience and professional qualification. Experience/Knowledge: Demonstrated potential to publish in high quality, peer reviewed journals. Demonstrated awareness of latest developments in the field of research and in research design. Demonstrated significant depth and breadth of specialist knowledge of subject matter related to this project. Skills: Ability to conduct individual research work, to write research reports and to disseminate results. Ability to organise and prioritise own workload to meet required deadlines. Excellent oral, interpersonal and written communication skills. Proficiency in appropriate techniques relevant to this project. Proficiency in IT skills.