Teaching Fellow in Computational Data Science

Job summary

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...

Job listing information

  • Reference ENG01425
  • Date posted 23 October 2020
  • Closing date 23 November 2020

Job description

Job summary

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

There are two open-ended positions available.

Should you require any further details on the role please contact: Professor Gareth Collins– g.collins@imperial.ac.uk

For technical issues when applying online please email recruitment@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.

http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research

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.

To apply, visit www.imperial.ac.uk/jobs and search by the job reference ENG01425.

Documents

About Imperial College London

Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.

You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.

We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.

It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.

Additional information

Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

All Imperial employees are expected to follow the 7 principles of Imperial Expectations: 

  • Champion a positive approach to change and opportunity
  • Communicate regularly and effectively within, and across, teams
  • Consider the thoughts and expectations of others
  • Deliver positive outcomes
  • Encourage inclusive participation and eliminate discrimination
  • Develop and grow skills and expertise
  • Work in a planned and managed way 

In addition to the above, employees are required to observe and comply with all College policies and regulations.

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.