About the role
The Research Fellow will be leading the digital twin modelling related to maritime transport (freight and passenger) decarbonisation as part of a multi-university consortium funded by the UKRI. As part of the team, the post-holder will ensure that a wide range of impactful digital twin research and simulation applications can be 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. 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 individual will also be supporting the group’s modelling around shipping emissions and other models. 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 01 January and is funded until the 31 December in the first instance, further funding to support the post may be 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: If you have specific questions about the role, please contact Dr Nishatabbas Rehmatulla,
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
The successful candidate 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 machine-learning techniques, statistics As part of the TransiT project the candidate 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. The candidate will be working in a multi-disciplinary research environment and 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