Research Fellow in AI for Collective Intelligence-Smart Cities

About the role

We are seeking a highly motivated and skilled Research Fellow to join our interdisciplinary team focused on advancing our knowledge on the useful application of artificial intelligence methods to problems that are presented in urban contexts. The postholder will be responsible for developing and delivering a package of work which explores the ways in which novel artificial-intelligence based analytical methods can be used to bring new insights and enhance decision-making processes related, in particular, to urban planning and development. This role is part of the AI for Collective Intelligence Research Hub (AI4CI) – a 5-year EPSRC project bringing together researchers from across the UK addressing challenges in healthcare, environmental sustainability, financial stability, pandemic resilience and cities. The post-holder will interact actively with members of the wider research group, identifying synergies that will help build our collective intelligence. The post is availab le from 01/07/2024 and it is funded until 31/01/2027 in the first instance. Starting salary offered will be in the range of £42,099 - £45,521 per annum (pro rata for a part time role) inclusive of London Allowance, due to limited amount of funding available.

About you

The postholder will have a PhD in a relevant discipline – which might be either more technical or related to the substantive topic area. Disciplines such as Geography, Computer Science, Planning, Statistics, Mathematics, Physical Sciences, Social Sciences are likely to be relevant. Or other relevant or equivalent qualifications. They will also have experience of working with large databases, particularly those that contain geospatial data; experience of applying technical skills to solve real-world problems. Strong background in machine learning, data science, and/or urban analytics; proficiency in programming languages such as Python or R or other languages relevant to the application of AI/machine learning methods. Knowledge of SQL as well as sufficient breadth and/or depth of knowledge in specialist subject and of quantitative research methods and techniques to work within the subject area are also essential for this post.

About us

The Bartlett Centre for Advanced Spatial Analysis (CASA) is globally recognised as a leading academic department, researching and teaching the science of cities. A truly interdisciplinary centre, with staff hailing from backgrounds in subjects as diverse as Geography, Transport Studies, Mathematics, Physics, Computer Science, Statistics, Planning, Architecture, the Humanities and the Social Sciences, for more than 20 years we have been combining theory with novel data, sensors, computational models, analysis and cutting edge visualisation to generate new knowledge and insights addressing problems with a spatial dimension and an urban and regional focus.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits.

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.

Job ref.: B04-04987
Closing date: 17-Jun-2024 - 23.59 (UK time)

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