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Research Fellow in Sustainable Manufacturing

University of Surrey - Chemical & Process Engineering

Location: Guildford
Salary: £36,924 to £45,163 per annum
Hours: Full Time
Contract Type: Permanent
Placed On: 27th November 2024
Closes: 24th December 2024
Job Ref: 057924

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. 

We have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.

Our culture empowers people to achieve this aim and to collectively make a real difference.

The Role

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.

This project will be based in the School of Chemistry and Chemical Engineering, Faculty of Engineering and physical sciences. 

We are committed to achieving equality for all those who learn and work here and providing a diverse and inclusive working environment. We will consider reasonable adjustments commensurate with the project requirements.

Full project details

We are seeking to recruit a talented and enthusiastic Research Fellow with strong modelling, simulation and digitalisation backgrounds to conduct research on electrochemical manufacturing processes and systems. The appointed Research Fellow will create a digital-twin-empowered intelligent manufacturing system that will self-optimise the multistage biomanufacturing route with carbon capture and utilisation (BMCCU) process and system. The digital twin will reflect real time update of the physical twin developed by the experimental team at Imperial College, and embed the economic, environmental and social indicators from the system sustainability team at Heriot-Watt University.

The project is led by Prof Jin Xuan.

About you

Candidates must hold (or be close to completion of) a PhD in Chemical Engineering, Mechanical Engineering, Physics, Computer Science or other relevant major degrees. 

How to Apply

Candidates should apply online, carefully answer all the application form questions, & attach a curriculum vitae (with details on education, research experiences, successes & the relevant publications to date). As part of the application, the applicant should also upload two letters of recommendation as the supporting documents.

Prospective applicants can contact Prof. Jin Xuan (j.xuan@surrey.ac.uk) or
Dr. Lei Xing (l.xing@surrey.ac.uk) if they need any specific further information on the post.

Further details

For more information & to apply online, please download the further details & click on the 'Apply' button above.
 
In return we offer a generous pension, relocation assistance where appropriate , flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.

Click here to find out more about the benefits we offer to support you.

The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all.

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