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 available from 01/07/ and it is funded until 31/01/ in the first instance. Starting salary offered will be in the range of £42, - £45, per annum (pro rata for a part time role) inclusive of London Allowance, due to limited amount of funding available. This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit for more information. We will consider applications to work on a part-time, flexible and job share basis wherever possible. This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6B (salary £37, - £39, including London Allowance per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD Thesis.For any queries about the role please contact Prof Adam Dennett (). A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ‘Apply Now’ button below.
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.
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; - Onsite gym; - Enhanced maternity, paternity and adoption pay; - Employee assistance programme: Staff Support Service; - Discounted medical insurance.