Research Fellow in LCA and Engineering Biology
The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and 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, and individually, make a real difference. The role The School of Engineering at the University of Surrey is seeking to recruit a full-time postdoctoral Research Fellow in LCA and Engineering Biology to work under the leadership of Prof Jhuma Sadhukhan. The primary objective of this role is to conduct comprehensive research focusing on techno-economic analysis and life cycle sustainability assessment including life cycle assessment, life cycle costing and social life cycle assessment of metal recovery and circular economy through engineering biology. The role will also explore AI for biodiversity and environmental modelling. The successful candidate will study the sustainability of systems and combine it with AI for intelligent decision-support tools. You will develop the above methodologies for plausible metal bioleaching, biorecovery, bioprocessing, biosensing and bioremediation and compare them against conventional systems and conduct their uncertainty analysis. You will create AI models with large-scale biodiversity and environmental parameter samples. You will also produce educational training materials on the studies you conduct and publish in high-impact journals. You will develop interactive tools for all the work done for users to evaluate and analyse their systems. About you The successful candidate will have a strong research background and should have a PhD in environmental science, with experience in modelling and data analysis and a publication track record. How to Apply To apply for this role, please upload a CV and cover letter with your application on the University of Surrey Website. Please note the university reserves the right to close this vacancy early based on volume and calibre of applications. For more information and to apply online, please download the further details and click on the 'apply online' 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. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.
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The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and 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, and individually, make a real difference. The role The School of Engineering at the University of Surrey is seeking to recruit a full-time postdoctoral Research Fellow in LCA and Engineering Biology to work under the leadership of Prof Jhuma Sadhukhan. The primary objective of this role is to conduct comprehensive research focusing on techno-economic analysis and life cycle sustainability assessment including life cycle assessment, life cycle costing and social life cycle assessment of metal recovery and circular economy through engineering biology. The role will also explore AI for biodiversity and environmental modelling. The successful candidate will study the sustainability of systems and combine it with AI for intelligent decision-support tools. You will develop the above methodologies for plausible metal bioleaching, biorecovery, bioprocessing, biosensing and bioremediation and compare them against conventional systems and conduct their uncertainty analysis. You will create AI models with large-scale biodiversity and environmental parameter samples. You will also produce educational training materials on the studies you conduct and publish in high-impact journals. You will develop interactive tools for all the work done for users to evaluate and analyse their systems. About you The successful candidate will have a strong research background and should have a PhD in environmental science, with experience in modelling and data analysis and a publication track record. How to Apply To apply for this role, please upload a CV and cover letter with your application on the University of Surrey Website. Please note the university reserves the right to close this vacancy early based on volume and calibre of applications. For more information and to apply online, please download the further details and click on the 'apply online' 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. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.
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