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Research adjunct/Research Fellow - 15655:Job description:Job location: Uxbridge College of Engineering, Design and Physical Sciences Job location: Brunel University London, Uxbridge Campus income: Research adjunct: Grade R1 from £35,490 to £37,488 per annum inclusive of London Weighting with potential to progress to £38,532 per annum inclusive of London Weighting through sustained exceptional contribution. (Pro-rata for Part-time) Research Fellow: Grade R1 from £39,607 to £44,240 per annum inclusive of London Weighting with potential to progress to £46,771 per annum inclusive of London Weighting through sustained exceptional contribution. (Pro-rata for Part-time) Hours: Full Time Contract Type: Fixed Term Contract until 31 March 2025 Brunel University London was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The College of Engineering, Design and Physical Sciences at Brunel University London has been awarded a grant by InnovateUK as academic partner in a consortium for Shoreside Power from Optimised Hydrogen Lifecycle (SPOHL). We are pursuing a skilled researcher to lead our efforts in modelling and optimizing energy systems within port environments, with a focus on renewable energy integration, grid management, and hydrogen storage. The ideal candidate will possess skills in mathematical modelling, simulation techniques, and optimization algorithms, coupled with a strong knowledge of energy systems dynamics and renewable energy technologies. The appointee will be expected to: » Develop advanced mathematical models and simulations to represent the energy infrastructure of port facilities, including renewable energy sources, grid infrastructure, and hydrogen storage systems. » Utilize optimization techniques to analyse and optimize energy flows within the port, considering grid constraints, energy demand profiles, and vessel refuelling requirements. » Collaborate closely with stakeholders to gather data, understand operational constraints, and validate model assumptions. » Evaluate the performance of various energy management strategies through simulation and sensitivity analysis, identifying optimal solutions that balance environmental sustaincapability, operational efficiency, and economic vicapability. » Implement algorithms and decision support tools to automate energy management processes and support real-time decision-making. » Stay abreast of emerging technologies and best practices in energy systems modelling, renewable energy integration, and grid optimization, incorporating new findings into modelling frameworks. » Communicate research findings, model validation results, and optimization recommendations to technical and non-technical audiences through reports, presentations, and technical documentation. The prosperous candidate will be able to demonstrate some essential characteristics: a PhD degree (or be near completion for the Research adjunct function) in Electrical Engineering, Energy Systems, Applied Mathematics, or related field with a focus on modelling and optimization; demonstrated skills in mathematical modelling, simulation techniques, and optimization algorithms, with practice in energy systems modelling preferred; proficiency in programming languages such as Python for model development and simulation purposes; strong knowledge of energy systems dynamics, renewable energy technologies, and grid integration challenges. For more information, Contact Us by Dr Ioana Pisica on ioana.pisica@brunel.ac.uk Closing date for applications: 20 May 2024 For further details about the post including the Job Description and Person Specification and to apply please visit https://careers.brunel.ac.uk If you have any technical issues Contact Us by us at: hrsystems@brunel.ac.uk Brunel University London is fully committed to creating and sustaining a fully inclusive workforce culture. We welcome candidates from all backgrounds and communities, we particularly welcome candidates who are currently under- represented in our workforce. Skills:
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