The successful candidate will significantly strengthen our research and teaching in Life Cycle Assessment (LCA) of renewable energy technologies. We seek an individual with substantial research experience in developing, applying and interpreting Life Cycle Assessment (LCA) models for renewable energy technologies and integrated energy systems, including wind turbines, solar PV, solar thermal technologies, batteries and energy storage systems. The candidate should demonstrate technical expertise in LCA model development, life cycle inventory compilation, and database management, life cycle impact assessment, scenario modelling, uncertainty and sensitivity analysis, and interpretation of LCA results for renewables for renewable energy technologies and their integration within energy systems and energy demand applications. Strong expertise with LCA software tools and computational approaches for managing and analysing LCA data.
Expertise in complementary approaches, such as Material Flow Analysis (MFA), critical material assessment, circular economy approaches or the integration of artificial intelligence (AI) and data-driven methods with LCA, is highly desirable. In particular, experience in applying AI and data -driven approaches to enhance LCA modelling practice, including improving data availability, inventory development, model automation, uncertainty analysis and interpretation, would be particularly valued. We are looking for a proven ability to teach and supervise students in the use of LCA software tools for practical analysis of renewable energy technologies and systems, as well as methods related to materiality assessment. In addition to developing a research agenda in collaboration with colleagues, the successful candidate will contribute to teaching to our MSc and BSc programs, teaching in Sustainable Built Environments, Energy and Resources BSc and MEng and contributing to other programmes.
This post is a permanent role available from 1st February 2027.
You will bring strong expertise in conducting life cycle assessment (LCA) analysis in energy sector, with a proven ability to evaluate environmental impact of energy systems across their full lifecycle.
You will hold a PhD, and be able to demonstrate substantial experience in applying quantitative LCA methods, technical modelling and data-driven analysis, evidenced through peer-reviewed publications.
Your knowledge should encompass key LCA phases, including inventory analysis, impact assessment, and interpretation, enabling you to deliver robust and policy-relevant sustainability insights. You will be proficient in using LCA software tools such as GaBi, OpenLCA, or SimaPro and can effectively teach students how to apply these tools to real-world challenges in energy systems analysis.
As well as the exciting opportunities this role presents, we also offer some great benefits, some of which are below:
Visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more.
As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. Our department holds an Athena SWAN Silver award in recognition of our commitment and demonstrable impact in advancing gender equality.
Tagged as: Life Sciences
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