Location: | London |
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Salary: | £38,000 to £46,000 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 9th February 2023 |
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Closes: | 6th March 2023 |
Job Ref: | B04-03321 |
About us
The Behaviour & Infrastructure Group aims to build a deeper understanding of urban systems and infrastructure networks using human behaviour as the central component of analysis. The methodological approaches employed within the group are diverse, and combine machine learning and artificial intelligence, statistical modelling, optimisation, and simulation.
The group sits within the Department of Civil, Environmental and Geomatic Engineering (CEGE) at UCL, co-affiliated with both the Infrastructure Systems Institute (ISI) and the Centre for Transport Studies (CTS).
UCL Department of Civil, Environmental and Geomatic Engineering is one of the top research and teaching departments in the UK and has world-class standing. We offer undergraduate and postgraduate programmes that are designed to educate Engineers in a dynamic and exciting learning environment. The Department has an extensive research portfolio across a wealth of areas and has consistently been among the best funded such departments in the UK.
About the role
This is a unique opportunity to join the Behaviour & Infrastructure Group (BIG) at UCL as a Research Fellow investigating Dynamic Digital Twins of Interconnected Energy and Transport networks (DDT-IET). The goal of the project, which is funded through a strategic partnership between the Alan Turing Institute and Accenture, is to develop agent-based simulations of joint transportation and domestic energy demand based on behavioural first principles.
Funding has been secured for a full-time postdoctoral research fellow for two years in the first instance, starting on or before 1 May 2023.
About you
You will join the Behaviour & Infrastructure Group at UCL, working primarily on the DDT-IET project. You will coordinate, support, and build on existing and ongoing research within the group on the topics of household activity scheduling, agent-based simulation, and synthetic population generation, including the OASIS (Optimisation of Activity Schedules Incorporating Simultaneous choice dimensions) and DATGAN (Directed Acyclic graph-based Tabular Generative Adversarial Network) models.
Working alongside the principal investigator, internal and external collaborators, and junior researchers, you will be responsible for consolidation and integration of the different modelling elements into a working prototype.
What we offer
As well as the exciting opportunities this role presents we also offer some great benefits some of which are below:
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.
You can read more about our commitment to Equality, Diversity and Inclusion here : https://www.ucl.ac.uk/equality-diversity-inclusion/
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