Lecturer in Urban Systems Predictive Analytics and Machine Learning

Key Skills

Data Analytics, Machine learning techniques, Management, Predictive analytics

Job Description

About the role

The successful candidate will be expected to primarily contribute to (a full task specification can be viewed below in the Job Description): • Teaching with -among others- the dual degree programme but also for other MSc and BSc modules, undertake supervision of students, including undergraduate and postgraduate level. • Research with -among others- the develop a research agenda related to data analytics and machine learning in energy field and urban systems. This includes successful fundraising for research and the productin of research outputs at the level required for inclusion in the Research Excellence • Engagement and networking activities with the undertake and promote scholarly work which has a positive impact on society, including engaging with multiple audiences such as academics, businesses, policy makers and wider society and building links with a range of stakeholders to ensure research activity is connected to societal needs and has potential to deliver impact. • Management and citizenship roles with -among others- undertaking citizenship roles within EI and BSEER as required and contributing to initiatives to promote equality, diversity and inclusion in research and teaching. This post is available from 1 February 2024 and is an open ended contract. 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 Dr Manos Chaniotakis (m.chaniotakis@ucl.ac.uk) 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.

About you

We are looking for a highly motivated Lecturer with great analytical and modelling skills, to extend the state of the art in Urban Systems Predictive Analytics and Machine Learning, generate methodological contributions in the field of urban systems dynamic demand forecasting and network modelling and support teaching, external engagement as well as management and citizenship activities of the Energy Institute.

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.