Teaching Fellow in Computational Data Science

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Imperial College London

London, United Kingdom

Application Deadline
£44,434 to £52,589

The purpose of this Teaching Fellow post is to support the teaching requirements in the fields of Computational Data Science and Machine Learning in the Department of Earth Science and Engineering at Imperial College London. Primarily this will focus on a newly established MSc in Applied Computational Science and Engineering but will also involve supporting the development of additional degree programmes and modules planned in the fields of Computational and Data Science. The postholder will be responsible for supporting the design and delivery of the learning outcomes, teaching material, technologies, assessment and feedback, as well as project supervision, for computational data science-based teaching activities in the degree programmes within the Department.

Duties and responsibilities

Your duties will include the following:

  • You will be required to prepare and deliver lectures, tutorials, problems classes and other training to students in the areas of computational science, data science and machine learning.
  • You will supervise student projects in these areas, providing advice on study skills and help them with learning problems.
  • You will contribute to the ongoing development and modernisation of computational/data science teaching within undergraduate and postgraduate degree programmes in the department.
  • To contribute to the integration of modern teaching technology such as automated assessment tools, GitHub Classroom, Microsoft teams, VLE’s.

Essential requirements

You should have a relevant degree and have, or are nearing completion of, a PhD or equivalent in Research Software Engineering, Computational Science, Data Science, Machine Learning or a closely related discipline.

You should a specialist knowledge in the relevant discipline and of teaching methods and techniques within computational data science

You should have knowledge of research software engineering best practises and DevOps.

Further Information

This is a full time, open-ended position.

Should you require any further details on the role please contact: Professor Matthew Piggott - m.d.piggott@imperial.ac.uk

For technical issues when applying online please email support.jobs@imperial.ac.uk

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.


Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.

Closing date: 3 September 2021

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