Lecturer / Senior Lecturer in Artificial Intelligence / Data Science / Machine Learning (Two Positions)

South Kensington, London

The Department of Earth Science and Engineering invites applications for two permanent academic positions in the areas of Artificial Intelligence, Machine Learning and Data Science. We are looking for colleagues to join our friendly and dynamic department and complement and enrich our existing research and teaching activities. Your interest may lie in any aspect of artificial intelligence, machine learning or data science and/or how these techniques are applied to pure, applied or engineering problems related to Earth and Planetary Processes, Geohazards, Climate and the Environment, Sustainable Natural Resources and Energy. We are keen to offer opportunities, where possible, to people from groups who are currently underrepresented in Earth Science and Engineering in the UK.

The Department of Earth Science and Engineering at Imperial College London is situated at the heart of South Kensington’s museum district in London and employs ~65 academic and teaching staff members and ~65 postdoctoral research scientists, supported by a team of ~40 professional, technical and operational staff.

Our academics and researchers are at the cutting edge of discovering how Earth and planetary systems work, and how natural resources and energy can be sustainably extracted and utilised during the energy transition and towards a zero-carbon and zero pollution future. We use a combination of pure and applied research and engineering. We are a multidisciplinary and diverse community that promotes inclusive and collaborative work, and we have strong ties with other departments and institutes across Imperial College London and beyond.

Our research is wide-ranging, spanning five broad themes in Earth Science and Engineering: Planetary Science, Earth Processes and Geohazards, Life & Health, Climate & Environment, and Energy & Resources. Our department is strong in leveraging digital technologies such as computational modelling, artificial intelligence, remote sensing, and data science. We also house an excellent set of geochemical facilities and closely collaborate with our neighbours at the Natural History Museum.

Our teaching portfolio combines traditional and pioneering undergraduate programmes in Earth & Planetary Science, Geology and Geophysics, and masters-level courses in Applied Computational Science and Engineering, Environmental Data Science and Machine Learning, Geo-Energy with Machine Learning and Data Science, and Metals and Energy Finance.

You will be committed to performing original research, looking to develop an international reputation for the quality of your research, open to growing your research interests, and intending to write research funding bids and engage in opportunities to do so with your colleagues in the department and across Imperial College London.

You should be excited to join our dedicated teaching programmes at undergraduate and postgraduate levels, engage with our curious and talented students, and help your colleagues within the department and across Imperial College London with administrative activities, thereby contributing to our excellent national and international reputation.

We will help you to develop, build, nurture and inspire your research group, to become an international leader in your field, and to provide the best possible educational experience to our students. You may be a Postdoc, Research Fellow, or already hold a Lectureship or Senior Lectureship or an equivalent position (Assistant Professor) at an academic institution or industrial organisation.

Apply online via the above ‘Apply’ button. 

Within your submission please ensure you include:

• a CV including a complete list of publications, research funding, teaching, and student supervision
• a statement of your research plans over the next 3 and 10 years (2 pages maximum)
• a statement of your teaching interests (1 page maximum)
• a statement on Equality, Diversity and Inclusion (1 page maximum)
• a completed application form – where the application form box requests information already included in the above documents please do not duplicate, just reference in which document this has been provided.

We are looking for colleagues who are available to start as soon as possible, and we particularly encourage applications from disadvantaged or underrepresented groups in Earth Science and Engineering.

Should you have any queries about the formal side of the application process, please contact Katie Rycraft, Resources and Research Administrator, via email: [email protected] .

For academic enquiries please feel free to contact the Head of Department, Tina van de Flierdt, via email: [email protected] .

For technical issues when applying online, please contact: [email protected]

Closing date: 19 January 2024

Interview dates: week commencing 18 or 25 March 2024

All candidates will be contacted by March 2024, after the shortlisting is completed.