Research Fellow in Data Analytics of Energy and Transport Full-time

Research Fellow in Data Analytics of Energy and Transport

The Research Fellow will be leading work related to the measurement and estimation of impacts on states, trade and transport services arising from policy measures, as well as generally assisting the group's modelling around shipping emissions and shipping's energy transition. The foci of the work will be both national/domestic, regional and global shipping activity.

The research fellow will be based in the Shipping and Oceans research group at the UCL Energy Institute, led by Dr Tristan Smith and Dr Nishatabbas Rehmatulla.

The successful applicant will work in a multi-disciplinary team and where possible also support several ongoing commercial and policy consultancy projects. They should have an enthusiasm for working in multidisciplinary environments alongside physical scientists, social scientists and economists to achieve joint research goals, as well as supporting MSc programmes and PhD students in the shipping group.

This post is available from 1 April 2026 and is funded for 12 months in the first instance; further funding to support the post may become available.

A job description and person specification can be accessed at the bottom of this page.

If you have any queries regarding the vacancy, or the application process, please contact bseer-recruitment@ucl.ac.uk .

If you have specific questions about the role please contact Alexis Fidgett, a.fidgett@ucl.ac.uk

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.

The successful candidate will have a PhD, or be close to completion, or commensurate research experience, in any one of the following fields: data analytics, quantitative methods, mathematics, engineering or other relevant discipline.

The successful candidate will also have research experience, which includes programming (eg Python, R, MATLAB etc), experience in interpreting data and providing analysis to stakeholders/governments in low-income countries, and at least 3 year's experience in the application of large-scale multi-dimensional geospatial datasets to represent worldwide economic/maritime/transport activities.

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/rewards-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 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.