We're hiring: Lecturer in Geospatial Machine Learning

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Duties and Responsibilities

The Energy Institute is seeking a Lecturer in Geospatial Machine Learning to undertake research that builds on and aligns to our current portfolio, to contribute to our teaching programme and to contribute to the institute research portfolio.

Key Requirements

We are looking for an inspirational and dynamic individual. Candidates should be interested in working in a multidisciplinary environment, seeking to build bridges between research and teaching, and across disciplines represented in the institutes.

The ideal candidate will have a background in geospatial data science and artificial intelligence. The candidate should be proficient in state-of-the-art machine learning methods such as Deep Neural Networks, Gaussian Processes or Transformers. They should also have experience in remote sensing, computer vision or the application of machine learning to problems of spatial analysis. Experience in working with unstructured data such as language models is also advantageous.

Further Details

A job description and person specification can be accessed via this link.

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 Prof Catalina Spataru: c.spataru@ucl.ac.uk or Dr Aidan O’Sullivan: aidan.osullivan@ucl.ac.uk

UCL Taking Action for Equality 

We will consider applications to work on a part-time, flexible and job share basis wherever possible.

Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.

This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.

Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job.