Research Assistant / Fellow in Process Modelling and Optimisation -14844-1

College of Engineering, Design and Physical Sciences

Full-time, fixed term, 12 months

Salary (R1 Grade): Research Assistant: £33,919 to £35,822 inclusive of London Weighting with potential to progress to £44,663 per annum inclusive of London Weighting.

Research Fellow: £37,841 to £41,100 inclusive of London Weighting with potential to progress to £44,663 per annum inclusive of London Weighting.

The Department of Chemical Engineering is seeking a Research Assistant/Fellow to join a multidisciplinary research team performing internationally leading research on carbon capture and blue hydrogen production. This is an outstanding research programme that focuses on the development of advanced technological solutions, through process synthesis & design, modelling, and optimisation, which can have a transformative role in the energy sector in the decades to come.

You will be joining a dynamic research group to carry out a multimillion-pound pioneering engineering and research project centred on amine-based CO₂ capture processes. Your research will be mainly centred on process synthesis and design, process modelling, and optimisation, in order to identify the best operational and control parameters for the aforementioned process.

During the project, you will develop, model and optimise a number of carbon capture process models for various solvents, and conduct the associated techno-economics assessments. The results will ultimately inform the techno-economics of the process associated with the carbon capture pilot plant which is designed, built and commissioned during the course of this project at a capacity to remove 100 tonnes of CO₂ per annum. You will have a unique opportunity to develop strong collaborations with our research partners at the University of Exeter, Plymouth Marine Laboratory, as well as out industrial partner ELIQUO HYDROK.

You should have PhD or near completion qualifications in Chemical/Process Engineering or a closely related discipline. You are expected to have a strong foundation in low-carbon energy technologies as well as some experience in process design and modelling. Having a good background in dynamic (process) modelling and simulation in an advantage.

For informal enquiries about the post, please contact Dr Salman Masoudi Soltani (Salman.MasoudiSoltani@brunel.ac.uk).

Closing date for applications: 19 February 2023

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 please contact us at: hrsystems@brunel.ac.uk 

Brunel University London is fully committed to creating and sustaining a fully inclusive workforce culture. We support flexible working. We welcome applicants from all backgrounds and communities, we particularly welcome applicants who are currently under- represented in our workforce.

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