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/materials

What you would be doing

• To research the literature and modern practices in data-driven classroom activities, including the evaluation of current practices and incorporating the experiences of students and staff.
• To ideate, plan and execute innovative data-driven classroom activities in collaboration with project staff and students/staff in the participating departments.
• To develop data processing pipelines that can be used to plan and implement classroom activities.
• To organise Action Research supporting our data-driven classroom activities.
• To champion the development of innovative and data-driven teaching methods in the participating faculties.
• To provide input to teaching delivered by the participating faculties, particularly in respect to recent developments in pedagogy, technology, and learning analytics.
• To publish research based on delivering data-driven activities.

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.

Informal enquiries may be directed to Dr Jonathan Rackham, j.rackham@imperial.ac.uk

Queries 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