Research Fellow in Energy and Transport Modelling

About us

The UCL Energy Institute hosts a world-leading research group focused on the decarbonisation of the shipping sector. The shipping research group undertakes research to support the above using models of the shipping system, shipping big data, and social science analysis of the policy and commercial structure of the shipping system. The multi-disciplinary work is underpinned by state-of-the-art data supported by rigorous models and research practices, which makes it have a cutting edge on three key areas; using big data to understand drivers of shipping emissions, using models to explore shipping’s transition to a zero emissions future and providing interpretation to key decision makers in the policy and industry stakeholder space. More details can be found here: https://www.ucl.ac.uk/bartlett/energy/research/shipping and www.shippingandoceans.com

About the role

Leading the digital twin modelling related to maritime transport decarbonisation as part of a multi-university consortium funded by the UKRI, the post-holder will ensure that a wide range of impactful digital twin research and simulation applications is implemented by designing and developing appropriate software solutions and architectures, communicating across the diverse specialist TransiT teams to ensure these approaches are accessible and maintainable for all. This post is available for 4 years in the first instance. UCL welcomes applications from international applicants and has licence to sponsor individuals who require a visa. This is dependent on the post and candidate meeting eligibility requirements for visa sponsorship under UK Visas and Immigration legislation.

About you

You will have a PhD degree in one of the following disciplines: energy systems, data analytics, quantitative methods, mathematics, engineering or other relevant discipline, have commensurate research which includes programming such as Python, R, MATLAB, or other similar programs and experience in using simulation/optimisation models and advanced data handling techniques. As part of the TransiT project you will be required to work with a large cohort of researchers and within the project’s plan, therefore requiring the ability to meet deadlines whilst conducting high quality research. You should have the ability to integrate knowledge from different disciplines.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: • 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) • Additional 5 days’ annual leave purchase scheme • Defined benefit career average revalued earnings pension scheme (CARE) • Cycle to work scheme and season ticket loan • Immigration loan • Relocation scheme for certain posts • On-Site nursery • On-site gym • Enhanced maternity, paternity and adoption pay • Employee Assistance Programme: Staff Support Service • Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

Our commitment to Equality, Diversity and Inclusion

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 Black, Asian and 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.

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