At UCL Energy Institute, we have an open position for a tenured Lecturer (Assistant Professor) in urban systems predictive analytics and machine learning.
We are looking for a highly motivated candidate with great analytical and modelling skills, to extend the state of the art in Urban Systems Predictive Analytics and Machine Learning and generate methodological contributions in the field of urban systems dynamic demand forecasting and network modelling.
The successful candidate will be expected to primarily contribute to:
a) 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.
b) 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 fund-raising for research and the production of research outputs at the level required for inclusion in the Research Excellence
c) 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.
d) 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.
The post is available from 1 February 2024 and is an open ended contract. 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. Also, please note that we are operating as a hybrid work environment with at least 2 days in the office.
The the application link can be found here:
The job description can be found here:
The deadline to apply is 21st of January 2024. If you have any questions please do not hesitate to contact me (firstname.lastname@example.org)!