Teaching Fellow in Analytics-Driven Interventions

About the role

The Department of Materials is recognised internationally for its excellence in research and teaching. With an annual intake of over 200 undergraduate and postgraduate masters students, we are the largest Materials department in the UK and are regularly ranked among the top few Materials departments in world. Our mission in education is to deliver research-inspired, socially relevant programmes to train people who will be valued for their scientific expertise, creativity, resourcefulness and teamwork. Further details about the department are available at https://www.imperial.ac.uk/materialsWhat you would be doing

What you would be doing:

The holder of this post is primarily associated with the ‘Informing Interventions: Analytics in Action’ project, funded through Imperial’s Learning and Teaching Strategy. The post holder will facilitate the piloting of data-driven classroom interventions in collaboration with the other project team members from across the University. Other aspects of the role will include leading the development of data processing pipelines, co-creation of classroom activity to capitalise on learning analytics insights and the educational evaluation of the pilots conducted for publication. The data supporting this will be from a mixture of sources, including our uniquely granular and high-quality data on student self study, as well as data on use of video capture, and access to learning management systems. This post is part of a cross-department project and includes contributing to the delivery of the undergraduate and postgraduate programmes in one or more of the participating departments, which include Physics, Materials Science, Mechanical Engineering, and Aeronautics

What we are looking for

• A degree or equivalent qualification in a related discipline/be nearing the completion of a PhD in a relevant discipline
• The capacity to work towards an appropriate teaching qualification
• A background in engineering or physical sciences will be preferred, but outstanding candidates with other relevant areas of expertise will also be considered.
• Some previous experience of higher-education teaching activities, along with the associated administrative work
• A track record of teaching in engineering or physical science in higher education at the highest standards
• Demonstrable familiarity with a variety of student-centred strategies to promote and assess learning and to provide constructive feedback
• Background in statistics or data science
• Familiarity with SQL or a structured data language

What we can offer you

• This is an exciting opportunity to continue your career at a world-leading institution
• By joining us, you will become part of an academic community focused on finding solutions to the world’s most pressing challenges.
• Sector-leading salary and remuneration package (including 38 days off a year)
• We provide a wide-ranging benefits package that includes resources, tools and networks to promote a positive working environment.
• Pensions – excellent employer contributions
• Season Ticket loan – interest free
• Childcare facilities – Early Years Education Centre
• Childcare vouchers – salary sacrifice scheme
• Staff accommodation
• Our flagship sports centre and gym in South Kensington Campus

Further information

DBS checks will be required for this role.

Further Information

Informal enquiries may be directed to Dr Jonathan Rackham, j.rackham@imperial.ac.uQueries regarding the application process should be directed to: Darakshan Khan (d.khan@imperial.ac.uk).

If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

To apply, click the 'Apply' button above.

Closing Date: 17 June 2025

Advert information